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Wang G, Luo D, Song F, Sun Z, Dong P, Zhu Z. Treatment of auricular pseudocysts using enhanced negative drainage: a prospective study of 21 cases. J Laryngol Otol 2024; 138:349-352. [PMID: 37586785 DOI: 10.1017/s0022215123001342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/18/2023]
Abstract
OBJECTIVE Auricular pseudocysts are rare, painless, benign intracartilaginous cysts of the auricle that are not lined by epithelium and have no known aetiology. METHOD This was a prospective study conducted in an ENT department from January 2020 to June 2022. In 21 patients, complete aspiration of the pseudocyst with enhanced negative drainage was performed. They were followed for a minimum of six months. RESULTS All patients completely responded to the negative drainage treatment. No cases of recurrence or obvious deformities were observed. CONCLUSION Aspiration with intensified negative drainage was associated with a positive response in patients with auricular pseudocysts. Complete resolution of the swelling can be achieved without any serious complications. Thus, it appears to be a simple and effective method for managing the condition.
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Affiliation(s)
- G Wang
- Department of Otolaryngology, Shanghai General Hospital, Jiaotong University School of Medicine, Shanghai City, China
| | - D Luo
- Department of Otolaryngology, Shanghai General Hospital, Jiaotong University School of Medicine, Shanghai City, China
| | - F Song
- Department of Otolaryngology, Shanghai General Hospital, Jiaotong University School of Medicine, Shanghai City, China
| | - Z Sun
- Department of Otolaryngology, Shanghai General Hospital, Jiaotong University School of Medicine, Shanghai City, China
| | - P Dong
- Department of Otolaryngology, Shanghai General Hospital, Jiaotong University School of Medicine, Shanghai City, China
| | - Z Zhu
- Department of Otolaryngology, Shanghai General Hospital, Jiaotong University School of Medicine, Shanghai City, China
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Xue FS, Li CW, Dong P. Determining analgesic effect of a regional block after caesarean section under spinal anaesthesia with intrathecal morphine. Anaesthesia 2024. [PMID: 38306492 DOI: 10.1111/anae.16239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/03/2024] [Indexed: 02/04/2024]
Affiliation(s)
- F S Xue
- Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China
| | - C W Li
- Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China
| | - P Dong
- Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China
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Huang YX, Zou XP, Zhang ZL, Ning K, Luo X, Xiong LB, Peng YL, Zhou ZH, Dong P, Guo SJ, Han H, Zhou FJ. [Relation factor analysis for the short-term preservation of ipsilateral renal function after partial nephrectomy]. Zhonghua Wai Ke Za Zhi 2023; 61:1099-1103. [PMID: 37932147 DOI: 10.3760/cma.j.cn112139-20230228-00086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/08/2023]
Abstract
Objectives: To analyze the factors relative to the short-term preservation of ipsilateral renal function after partial nephrectomy. Methods: The clinical data of 83 patients who were treated with partial nephrectomy from December 2014 to December 2019 in the Department of Urology, Sun Yat-sen University Cancer Center were retrospectively analyzed. There were 54 males and 29 females, aging (M (IQR)) 49 (17) years (range: 27 to 74 years). The ischemia time in operation was 25 (18) minutes (range: 10 to 67 minutes). Emission computed tomography scan and CT scan were performed before (within 1 month) and after (3 to 12 months) surgery. The volume of the ipsilateral and contralateral kidney was measured on the basis of preoperative and postoperative CT scans. The glomerular filtration rate (GFR) specifically in each kidney was estimated by emission computed tomography. Recovery from ischemia is determined by the formula: GFR preservation/volume saved×100%. Linear regression was used to explore the factors ralative to the short-term preservation of ipsilateral renal function after partial nephrectomy. Results: The GFR preservation of the ipsilateral kidney was 80.9 (25.2) % (range: 31.0% to 109.4%). The volume loss of the kidney resulted in a decrease of 12.0% (5.8 ml/(min×1.96 m2)) of GFR, while the ischemic injury resulted in a decrease of 6.5% (2.5 ml/(min×1.96 m2)) of GFR. The volume saved from the ipsilateral kidney was 87.1 (12.9) % (range: 27.0% to 131.7%). Recovery from ischemia was 93.5 (17.5) % (range:44.3% to 178.3%). In multivariate analysis, GFR preservation of the ipsilateral kidney was significantly correlated with the volume saved of the ipsilateral kidney (β=0.383, 95%CI: 0.144 to 0.622, P=0.002). It was not related to the ischemia time (β=0.046, 95%CI:-0.383 to 0.475, P=0.831). Conclusion: In the condition of limited ischemic time, in the short term ipsilateral renal function after partial nephrectomy is mainly determined by the loss of kidney volume, while ischemic injury only plays a minor role.
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Affiliation(s)
- Y X Huang
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - X P Zou
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Z L Zhang
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - K Ning
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - X Luo
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - L B Xiong
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Y L Peng
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Z H Zhou
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - P Dong
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - S J Guo
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - H Han
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - F J Zhou
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
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Zou XP, Ning K, Zhang ZL, Zou L, Xiong LB, Peng YL, Zhou ZH, Liu HM, Yu CP, Dong P, Guo SJ, Han H, Zhou FJ. [Long-term survival analysis of 1 367 patients treated with radical nephrectomy from a single center]. Zhonghua Zhong Liu Za Zhi 2023; 45:981-987. [PMID: 37968085 DOI: 10.3760/cma.j.cn112152-20220614-00420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/17/2023]
Abstract
Objective: To report the long-term survival of renal cell carcinoma (RCC) patients treated with radical nephrectomy in Sun Yat-sen University Cancer Center. Methods: We retrospectively analyzed the clinical, pathological and follow-up records of 1 367 non-metastatic RCC patients treated with radical nephrectomy from 1999 to 2020 in this center. The primary endpoint of this study was overall survival rate. Survival curves were estimated using the Kaplan-Meier method, and group differences were compared through Log-rank test. Univariate and multivariate Cox analysis were fit to determine the clinical and pathological features associated with overall survival rate. Results: A total of 1 367 patients treated with radical nephrectomy with complete follow-up data were included in the study. The median follow-up time was 52.6 months, and 1 100 patients survived and 267 died, with the median time to overall survival not yet reached. The 5-year and 10-year overall survival rates were 82.8% and 74.9%, respectively. The 5-year and 10-year overall survival rates of Leibovich low-risk patients were 93.3% and 88.2%, respectively; of Leibovich intermediate-risk patients were 82.2% and 72.3%, respectively; and of Leibovich high-risk patients were 50.5% and 30.2%, respectively. There were significant differences in the long-term survival among the three groups (P<0.001). The 10-year overall survival rates for patients with pT1, pT2, pT3 and pT4 RCC were 83.2%, 73.6%, 55.0% and 31.4%, respectively. There were significant differences among pT1, pT2, pT3 and pT4 patients(P<0.001). The 5-year and 10-year overall survival rates of patients with lymph node metastasis were 48.5% and 35.6%, respectively, and those of patients without lymph node metastasis were 85.1% and 77.5%, respectively. There was significant difference in the long-term survival between patients with lymph node metastasis and without lymph node metastasis. The 10-year overall survival rate was 96.2% for nuclear Grade 1, 81.6% for nuclear Grade 2, 60.5% for nuclear Grade 3, and 43.4% for nuclear Grade 4 patients. The difference was statistically significant. There was no significant difference in the long-term survival between patients with localized renal cancer (pT1-2N0M0) who underwent open surgery and minimally invasive surgery (10-year overall survival rate 80.5% vs 85.6%, P=0.160). Multivariate Cox analysis showed that age≥55 years (HR=2.11, 95% CI: 1.50-2.96, P<0.001), T stage(T3+ T4 vs T1a: HR=2.37, 95% CI: 1.26-4.46, P=0.008), local lymph node metastasis (HR=3.04, 95%CI: 1.81-5.09, P<0.001), nuclear grade (G3-G4 vs G1: HR=4.21, 95%CI: 1.51-11.75, P=0.006), tumor necrosis (HR=1.66, 95% CI: 1.17-2.37, P=0.005), sarcomatoid differentiation (HR=2.39, 95% CI: 1.31-4.35, P=0.005) and BMI≥24kg/m(2) (HR=0.56, 95%CI: 0.39-0.80, P=0.001) were independent factors affecting long-term survival after radical nephrectomy. Conclusions: The long-term survival of radical nephrectomy in patients with renal cell carcinoma is satisfactory. Advanced age, higher pathological stage and grade, tumor necrosis and sarcomatoid differentiation were the main adverse factors affecting the prognosis of patients. Higher body mass index was a protective factor for the prognosis of patients.
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Affiliation(s)
- X P Zou
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - K Ning
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Z L Zhang
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - L Zou
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - L B Xiong
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Y L Peng
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Z H Zhou
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - H M Liu
- Department of Imaging, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - C P Yu
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - P Dong
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - S J Guo
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - H Han
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - F J Zhou
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
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Yang Y, Wang JY, Dong P, Kovalchuk N, Gensheimer MF, Beadle BM, Bagshaw HP, Buyyounouski MK, Le QT, Xing L. Clinical Implementation of an Automated IMRT/VMAT Treatment Planning Tool. Int J Radiat Oncol Biol Phys 2023; 117:e739-e740. [PMID: 37786147 DOI: 10.1016/j.ijrobp.2023.06.2272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) To create an in-house automated treatment planning tool for IMRT/VMAT treatments and evaluate the dosimetric plan quality against manually generated plans. MATERIALS/METHODS A scripting application programming interface is employed to interact with a commercial treatment planning system (TPS) to implement automatic plan evaluation and update optimization parameters by mimicking the human planning process. The automated planning performs in an iterative fashion until reaching an acceptable tradeoff among target coverage/dose homogeneity and sparing of critical organs at risk. In each iteration, the dose constraints, priorities, and optimization structures for are automatically updated based on the results of the current iteration. Twenty previously treated plans (10 prostate and 10 head and neck), were preliminarily used to evaluate the performance of the automated planning tool. The differences in target and organ-at-risk metrics from the manually generated clinical plans were analyzed using paired t-test to evaluate clinical acceptability of tour automated planning tool. The current in-house-developed automated planning solution is able to create plans for different disease sites, including head & neck, prostate, pelvis, and lung. So far, the VMAT plans for more than 150 different cases have been generated with the tool. The results for these were also evaluated. RESULTS Compared to the manually generated clinical head and neck plans, all auto plans achieved PTV D95% coverage and critical organs at risk sparing without statistically significant change in average global Dmax (107.4% for manual vs 107.3% for automated plans). The auto-planning solution provided reduced maximum doses to brainstem and spinal cord (average reductions with standard deviations of 5.1 ± 2.6 Gy and 2.9 ± 1.4 Gy, respectively, all p <0.03), reduced average mean doses to contralateral parotid, ipsilateral parotid, contralateral submandibular gland, pharynx, esophagus, cochleae (reductions of 2.2 ± 2.9 Gy, 4.8 ± 4.7 Gy, 3.6 ± 5.2 Gy, 2.0 ± 7.1 Gy, 3.9 ± 2.6 Gy, 3.8 ± 5.0 Gy, respectively, all p < 0.045). Similar results were observed for the prostate plans. With the same PTV coverage and without statistically significant change in average global Dmax (106.5% for manual vs 106.8% for automated plans), the automated solution provided superior sparing for both bladder and rectum. Bladder V75, V70, V65 were reduced by 0.6% ± 2.1%, 0.8% ± 2.5%, and 0.9% ± 2.9% (all p <0.04), respectively. Rectum V75, V70, V65, V60 were reduced by 1.0% ± 2.3%, 1.2% ± 2.8%, 1.3% ± 3.2%, 1.6% ± 3.6% (all p < 0.01), respectively. CONCLUSION Our automated treatment planning solution is capable of efficiently generating VMAT plans for different disease sites with superior dosimetric indices compared to manually generated plans. Our tool is integrated within a commercial TPS platform, so it has the advantage of seamless adoption into the standard workflow to improve plan quality and treatment planning efficiency in our clinic.
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Affiliation(s)
- Y Yang
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - J Y Wang
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - P Dong
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - N Kovalchuk
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - M F Gensheimer
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - B M Beadle
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - H P Bagshaw
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - M K Buyyounouski
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - Q T Le
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - L Xing
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
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Wang J, Wei WS, Jiang LJ, Zhang ZL, Guo SJ, Han H, Zhou FJ, Dong P. [Efficacy and safety evaluation of immunotherapy combined with targeted therapy as second-line treatment in patients with metastatic non-clear cell renal cell carcinoma]. Zhonghua Zhong Liu Za Zhi 2023; 45:704-708. [PMID: 37580277 DOI: 10.3760/cma.j.cn112152-20220330-00220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 08/16/2023]
Abstract
Objective: This study aimed to evaluate the efficacy and safety of programmed death-1 (PD-1) inhibitor combined tyrosine kinase inhibitor (TKI) therapy versus TKI monotherapy as the second-line regimen for patients with metastatic non-clear cell renal carcinoma (nccRCC) who failed first-line TKI therapy. Methods: The clinicopathological data of 67 patients with metastatic nccRCC who failed first-line TKI therapy between October 2011 and September 2020 were retrospectively analyzed, including 22 patients who received TKI monotherapy and 45 patients who received TKI plus PD-1 inhibitor as the second-line therapy. The efficacy was assessed according to Response Evaluation Criteria in Solid Tumors version 1.0/1.1 (RECIST 1.0/1.1), the Kaplan-Meier method was used to plot the survival curves, and the Log rank test was used to analyze the differences in the survival between the two groups. Treatment-related adverse events (AEs) after treatment were observed in both groups. Results: The overall objective response rate (ORR) and disease control rate (DCR) were 37.3% (25/67) and 56.7% (38/67), respectively. The overall second-line progression-free survival (PFS) was 7.7 months and Overall Survival (OS) was 25.2 months. The ORR and DCR of patients in the combination therapy group were 48.9% (22/45) and 71.1% (32/45), respectively, which were significantly improved compared with the TKI monotherapy group [13.6% (3/22) and 27.3% (6/22), respectively] (P=0.007 and P=0.001, respectively). The median PFS of 9.2 months for second-line treatment was longer in patients in the combination therapy group than in the TKI monotherapy group (5.2 months, P=0.001), but the median OS was not statistically different between the two groups (28.2 months vs 20.8 months, P=0.068). Common treatment-related AEs included hypertension, diarrhea, fatigue, stomatitis, hand-foot syndrome, and hypothyroidism. The incidence of hypothyroidism was higher in the combination therapy group [40.0% (18/45)] than in the TKI monotherapy group [22.7% (5/22), P=0.044]; the incidence of other treatment-related AEs between the two groups were not statistically significant (all P>0.05). Conclusion: Immune-targeted combination therapy was more effective than TKI monotherapy alone and was well tolerated in the treatment of metastatic nccRCC patients who failed first-line TKIs.
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Affiliation(s)
- J Wang
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - W S Wei
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - L J Jiang
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Z L Zhang
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - S J Guo
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - H Han
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - F J Zhou
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - P Dong
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
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Xiong LB, Zou XP, Ning K, Luo X, Peng YL, Zhou ZH, Wang J, Li Z, Yu CP, Dong P, Guo SJ, Han H, Zhou FJ, Zhang ZL. [Establishment and validation of a novel nomogram to predict overall survival after radical nephrectomy]. Zhonghua Zhong Liu Za Zhi 2023; 45:681-689. [PMID: 37580273 DOI: 10.3760/cma.j.cn112152-20221027-00722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 08/16/2023]
Abstract
Objective: To establish a nomogram prognostic model for predicting the 5-, 10-, and 15-year overall survival (OS) of non-metastatic renal cell carcinoma patients managed with radical nephrectomy (RN), compare the modelled results with the results of pure pathologic staging, the Karakiewicz nomogram and the Mayo Clinic Stage, Size, Grade, and Necrosis (SSIGN) score commonly used in foreign countries, and stratify the patients into different prognostic risk subgroups. Methods: A total of 1 246 non-metastatic renal cell carcinoma patients managed with RN in Sun Yat-sen University Cancer Center (SYSUCC) from 1999 to 2020 were retrospectively analyzed. Multivariate Cox regression analysis was used to screen the variables that influence the prognosis for nomogram establishment, and the bootstrap random sampling was used for internal validation. The time-receiver operating characteristic curve (ROC), the calibration curve and the clinical decision curve analysis (DCA) were applied to evaluate the nomogram. The prediction efficacy of the nomogram and that of the pure pathologic staging, the Karakiewicz nomogram and the SSIGN score was compared through the area under the curve (AUC). Finally, patients were stratified into different risk subgroups according to our nomogram scores. Results: A total of 1 246 patients managed with RN were enrolled in this study. Multivariate Cox regression analysis showed that age, smoking history, pathological nuclear grade, sarcomatoid differentiation, tumor necrosis and pathological T and N stages were independent prognostic factors for RN patients (all P<0.05). A nomogram model named SYSUCC based on these factors was built to predict the 5-, 10-, and 15-year survival rate of the participating patients. In the bootstrap random sampling with 1 000 iterations, all these factors occurred for more than 800 times as independent predictors. The Harrell's concordance index (C-index) of SYSUCC was higher compared with pure pathological staging [0.770 (95% CI: 0.716-0.823) vs 0.674 (95% CI: 0.621-0.728)]. The calibration curve showed that the survival rate as predicted by the SYSUCC model simulated the actual rate, while the clinical DCA showed that the SYSUCC nomogram has a benefit in certain probability ranges. In the ROC analysis that included 857 patients with detailed pathological nuclear stages, the nomogram had a larger AUC (5-/10-year AUC: 0.823/0.804) and better discriminating ability than pure pathological staging (5-/10-year AUC: 0.701/0.658), Karakiewicz nomogram (5-/10-year AUC: 0.772/0.734) and SSIGN score (5-/10-year AUC: 0.792/0.750) in predicting the 5-/10-year OS of RN patients (all P<0.05). In addition, the AUC of the SYSUCC nomogram for predicting the 15-year OS (0.820) was larger than that of the SSIGN score (0.709), and there was no statistical difference (P<0.05) between the SYSUCC nomogram, pure pathological staging (0.773) and the Karakiewicz nomogram (0.826). The calibration curve was close to the standard curve, which indicated that the model has good predictive performance. Finally, patients were stratified into low-, intermediate-, and high-risk subgroups (738, 379 and 129, respectively) according to the SYSUCC nomogram scores, among whom patients in intermediate- and high-risk subgroups had a worse OS than patients in the low-risk subgroup (intermediate-risk group vs. low-risk group: HR=4.33, 95% CI: 3.22-5.81, P<0.001; high-risk group vs low-risk group: HR=11.95, 95% CI: 8.29-17.24, P<0.001), and the high-risk subgroup had a worse OS than the intermediate-risk group (HR=2.63, 95% CI: 1.88-3.68, P<0.001). Conclusions: Age, smoking history, pathological nuclear grade, sarcomatoid differentiation, tumor necrosis and pathological stage were independent prognostic factors for non-metastasis renal cell carcinoma patients after RN. The SYSUCC nomogram based on these independent prognostic factors can better predict the 5-, 10-, and 15-year OS than pure pathological staging, the Karakiewicz nomogram and the SSIGN score of patients after RN. In addition, the SYSUCC nomogram has good discrimination, agreement, risk stratification and clinical application potential.
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Affiliation(s)
- L B Xiong
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - X P Zou
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - K Ning
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - X Luo
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Y L Peng
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Z H Zhou
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - J Wang
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Z Li
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - C P Yu
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - P Dong
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - S J Guo
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - H Han
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - F J Zhou
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Z L Zhang
- Department of Urology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
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Zou XP, Ning K, Zhang ZL, Xiong LB, Peng YL, Zhou ZH, Huang YX, Luo X, Li JB, Dong P, Guo SJ, Han H, Zhou FJ. [Efficacy of partial nephrectomy in patients with localized renal carcinoma: a 20-year experience of 2 046 patients in a single center]. Zhonghua Wai Ke Za Zhi 2023; 61:395-402. [PMID: 36987674 DOI: 10.3760/cma.j.cn112139-20221002-00416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
Abstract
Objectives: To analyze the long-term survival of patients with localized renal cell carcinoma after partical nephrectomy. Methods: The clinicopathological records and survival follow-up data of 2 046 patients with localized renal cell carcinoma, who were treated with partial nephrectomy from August 2001 to February 2021 in the Department of Urology, Sun Yat-sen University Cancer Center, were retrospectively analyzed. There were 1 402 males and 644 females, aged (M(IQR)) 51 (19) years (range: 6 to 86 years). The primary end point of this study was cancer-specific survival. Survival curves were estimated using the Kaplan-Meier method, and the difference test was performed by Log-rank test. Univariate and multivariate Cox analysis were fitted to determine factors associated with cancer-specific survival. Results: The follow-up time was 49.2 (48.0) months (range: 1 to 229 months), with 1 974 patients surviving and 72 dying. The median cancer-specific survival time has not yet been reached. The 5- and 10-year cancer specific survival rates were 97.0% and 91.2%, respectively. The 10-year cancer-specific survival rates for stage pT1a (n=1 447), pT1b (n=523) and pT2 (n=58) were 95.3%, 81.8%, and 81.7%, respectively. The 10-year cancer-specific survival rates of patients with nuclear grade 1 (n=226), 2 (n=1 244) and 3 to 4 (n=278) were 96.6%, 89.4%, and 85.5%, respectively. There were no significant differences in 5-year cancer-specific survival rates among patients underwent open, laparoscopic, or robotic surgery (96.7% vs. 97.1% vs. 97.5%, P=0.600). Multivariate analysis showed that age≥50 years (HR=3.93, 95%CI: 1.82 to 8.47, P<0.01), T stage (T1b vs. T1a: HR=3.31, 95%CI: 1.83 to 5.99, P<0.01; T2+T3 vs. T1a: HR=2.88, 95%CI: 1.00 to 8.28, P=0.049) and nuclear grade (G3 to 4 vs. G1: HR=2.81, 95%CI: 1.01 to 7.82, P=0.048) were independent prognostic factors of localized renal cell carcinoma after partial nephrectomy. Conclusions: The long-term cancer-specific survival rates of patients with localized renal cancer after partial nephrectomy are satisfactory. The type of operation (open, laparoscopic, or robotic) has no significant effect on survival. However, patients with older age, higher nuclear grade, and higher T stage have a lower cancer-specific survival rate. Grasping surgical indications, attaching importance to preoperative evaluation, perioperative management, and postoperative follow-up, could benefit achieving satisfactory long-term survival.
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Affiliation(s)
- X P Zou
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - K Ning
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Z L Zhang
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - L B Xiong
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Y L Peng
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Z H Zhou
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Y X Huang
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - X Luo
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - J B Li
- Department of Clinical Research, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - P Dong
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - S J Guo
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - H Han
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - F J Zhou
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
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Guo SJ, Wei LC, Zhuo SQ, Wang YJ, Yang XY, Zhang ZL, Dong P, Zhou FJ, Han H. [Clinical analysis of three-dimensional surgical planning system for guiding robot-assisted selective artery clamping partial nephrectomy in completely endophytic renal tumor]. Zhonghua Wai Ke Za Zhi 2022; 60:992-998. [PMID: 36323581 DOI: 10.3760/cma.j.cn112139-20211216-00608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To examine the safety and feasibility of three-dimensional (3D) surgical planning system for guiding robot-assisted selective artery clamping partial nephrectomy (RASPN) in completely endophytic renal tumor. Methods: Clinical data of 32 patients who suffered from completely endophytic renal tumor and underwent RASPN associated with 3D surgical planning system in Department of Urology, Sun Yat-Sen University Cancer Center from November 2018 to August 2021 were analyzed retrospectively. There were 21 males and 11 females, with the age (M (IQR)] of 45.0 (17.5) years (range: 30 to 68 years). Fifteen tumors were located on the left and 17 on the right. Maximum tumor diameter, R.E.N.A.L. Score and preoperative estimated glomerular filtration rate (eGFR) were 27.5 (13.0) mm (range: 14 to 50 mm), 10.0 (1.8) (range: 7 to 11), and 105.5 (15.7) ml·min-1·(1.73 m2)-1 (range: 71.1 to 124.8 ml·min-1·(1.73 m2)-1), respectively. The 3D reconstruction before RASPN was performed in all patients to formulate surgical planning, mainly including stereo localization of renal mass, confirmation of tumor feeding artery, and injury prediction of collecting system or vessel via "2 mm distance method" defined as probable damage of renal pelvis/calyx and artery/vein when these tissues were less than 2 mm away from tumor. Results: Totally 32 patients successfully underwent RASPN guided by 3D surgical planning system, without conversion to open operation or radical nephrectomy. Rapid location of tumor and selective clamping of artery were achieved in all cases and no one encountered global ischemia, with branch occlusion time of 24.5 (15.4) min (range: 12 to 60 min) and coincidence rate of 95.0% (57/60) between planned and actual clamping vessels. The sensitivity and specificity of 2 mm distance method for predicting the injury of collecting system were 13/15 and 17/17, respectively. The operating time of 185 (48) minuetes (range: 76 to 295 minutes) and estimated blood loss of 200 (350) ml (range: 20 to 800 ml) were observed, without intraoperative transfusion case. There was one patient performed with renal vein repair. Clavien-Dindo postoperative grade Ⅱ and Ⅲa bleeding complications occurred in 2 cases, and no postoperative urinary fistula was found. The length of hospitalization was 3 (0) days (range: 2 to 10 days). The pathological diagnosis demonstrated 4 chromophobe cell carcinomas and 2 angiomyolipomas, besides 26 clear cell carcinomas including one positive surgical margin. The postoperative latest eGFR was 103.9(18.5) ml·min-1·(1.73 m2)-1 (range: 75.8 to 122.3 ml·min-1·(1.73 m2)-1) and no tumor recurrence or metastasis was detected during the follow-up time of 15.4 (13.9) months (range: 3 to 35 months). Conclusion: For RASPN in completely endophytic renal tumor, 3D surgical planning system is contributed to determining mass position, defining tumor feeding artery, and predicting collecting system/vessel injury, which benefited precise tumor resection, postoperative renal function preservation, and perioperative urinary fistula and bleeding complication decrease.
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Affiliation(s)
- S J Guo
- Department of Urology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - L C Wei
- Department of Urology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - S Q Zhuo
- Department of Radiology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - Y J Wang
- Department of Urology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - X Y Yang
- Department of Urology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - Z L Zhang
- Department of Urology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - P Dong
- Department of Urology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - F J Zhou
- Department of Urology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
| | - H Han
- Department of Urology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China
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Vasudevan V, Shen L, Huang C, Chuang C, Islam M, Ren H, Yang Y, Dong P, Xing L. Neural Representation for Three-Dimensional Dose Distribution and its Applications in Precision Radiation Therapy. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.2182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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11
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Chen Y, Wang Y, Ren F, Huang Z, Tan B, Zhao Z, Yu X, Dong P, Yu J, Meng X. Prophylactic Cranial Irradiation (PCI) vs. Active Surveillance in Patients with Limited-Stage Small Cell Lung Cancer: A Retrospective, Multicenter study. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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12
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Kashyap M, Panjwani N, Hasan M, Huang C, Bush K, Dong P, Zaky S, Chin A, Vitzthum L, Loo B, Diehn M, Xing L, Gensheimer M. Deep Learning Based Identification and Segmentation of Lung Tumors on Computed Tomography Images. Int J Radiat Oncol Biol Phys 2021. [DOI: 10.1016/j.ijrobp.2021.07.476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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13
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Zhao MJ, Mao AY, Yuan SS, Wang K, Dong P, Du S, Meng YL, Qiu WQ. [Research progress on building of disease control and prevention system of the international experience]. Zhonghua Yu Fang Yi Xue Za Zhi 2021; 55:1263-1269. [PMID: 34706515 DOI: 10.3760/cma.j.cn112150-20201117-01379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Through literature search in regular database and official websites of relevant countries, this paper combs and summarizes the main characteristics of disease prevention and control systems in five countries, the United States, Germany, South Korea, Australia and Japan, and the European Union at key levels including legal construction, organizational structure, financing, personnel construction and international cooperation, in order to provide decision support for the construction of disease prevention and control system in China in the future.
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Affiliation(s)
- M J Zhao
- Institute of Medical Information and Library, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - A Y Mao
- Institute of Medical Information and Library, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - S S Yuan
- Institute of Medical Information and Library, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - K Wang
- Institute of Medical Information and Library, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - P Dong
- Institute of Medical Information and Library, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - S Du
- Institute of Medical Information and Library, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - Y L Meng
- Institute of Medical Information and Library, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - W Q Qiu
- Institute of Medical Information and Library, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
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14
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Zhang Y, Tian Y, Dong P, Xu Y, Yu B, Li H, Li J, Ge J, Sun Y, Wang J, Wang L, Chen J, Yan H, Chen Y, Han Y, Huo Y. Treatment delay and reperfusion management of acute ST-segment elevation myocardial infarction: analysis of the China STEMI Care Project Phase 1. QJM 2021; 114:299-305. [PMID: 32569364 DOI: 10.1093/qjmed/hcaa186] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2019] [Revised: 04/11/2020] [Accepted: 04/21/2020] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND The China ST-segment elevation myocardial infarction (STEMI) Care Project (CSCAP) was launched in 2011 to address the problems of insufficient reperfusion and long treatment delay in STEMI care in China. AIM To describe the baseline status of STEMI emergency care in Tertiary PCI Hospitals using Phase 1 (CSCAP-1) data. DESIGN CSCAP-1 is a prospective multi-center STEMI registry. METHODS AND RESULTS A total of 4191 patients with symptom onset within 12 or 12-36 h requiring primary percutaneous coronary intervention (PCI), were enrolled from 53 tertiary PCI hospitals in 14 provinces, municipalities, and autonomous regions of China in CSCAP-1. Among them, 49.0% were self-transported to the hospital, 26.5% were transferred to the hospital by calling the emergency medical services directly, and 24.5% were transferred from other hospitals. In patients with symptom onset within 12 h, 83.2% received primary PCI, 5.9% received thrombolysis and 10.9% received conservative medications. The median door-to-balloon time was 115 (85-170) min and the median door-to-needle time for in-hospital thrombolysis was 80 (50-135) min. The overall in-hospital all-cause mortality was 2.4%, while it was 5.3% in the non-reperfusion group and 2.1% in the reperfusion group (P < 0.001). CONCLUSION Although a long treatment delay and a high proportion of patients transporting themselves to the hospital were observed, trends were positive with greater adoption of primary PCI and lower in-hospital mortality in tertiary hospitals in China. Our results provided important information for further integrated STEMI network construction in China.
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Affiliation(s)
- Y Zhang
- Department of Cardiology, Peking University First Hospital, 8 Xishiku Street, Xicheng District, Beijing 100034, China
| | - Y Tian
- Department of Cardiology, The First Affiliated Hospital of Harbin Medical University, 199 Dazhi Street, Nangang District, Harbin 150001, Heilongjiang Province, China
| | - P Dong
- Department of Cardiology, The First Affiliated Hospital of Henan University of Science and Technology, 24 Jinghua Road, Jianxi District, Luoyang 471003, Henan Province, China
| | - Y Xu
- Department of Cardiology, Tenth People's Hospital of Tongji University, 301 Yanchang Middle Road, Jingan District, Shanghai 200072, China
| | - B Yu
- Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Harbin 150086, Heilongjiang Province, China
| | - H Li
- Department of Cardiology, Daqing Oilfield General Hospital, 9 Zhongkang Street, Sartu District, Daqing 163001, Heilongjiang Province, China
| | - J Li
- Department of Cardiology, Qilu Hospital of Shandong University, 107 Wenhua West Road, Lixia District, Jinan 250012, Shandong Province, China
| | - J Ge
- Department of Cardiology, Zhongshan Hospital Fudan University, 180 Fenglin Road, Xuhui District, Shanghai 200032, China
| | - Y Sun
- Department of Cardiology, Shanxi Datong Coal Group General Hospital, 5999 Herui Street, Hengan New District, Datong 037003, Shanxi Province, China
| | - J Wang
- Department of Cardiology, The Second Affiliated Hospital, Zhejiang University, 88 Jiefang Road, Shangcheng District, Hangzhou 310009, Zhejiang Province, China
| | - L Wang
- Department of Cardiology, Beijing Chao-yang Hospital, 8 Gongti South Road, Chaoyang District, Beijing 100020, China
| | - J Chen
- Department of Cardiology, Guangdong General Hospital, 106 Zhongshan 2nd Road, Yuexiu District, Guangzhou 510080, Guangdong Province, China
| | - H Yan
- Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences, 167 Beilishi Road, Xicheng District, Beijing 100037, China
| | - Y Chen
- Department of Cardiology, Chinese PLA General Hospital, 28 Fuxing Road, Haidian District, Beijing 100036, China
| | - Y Han
- Department of Cardiology, General Hospital of Northern Theater Command of People's Liberation Army, 83 Wenhua Road, Shenhe District, Shenyang 110016, Liaoning Province, China
| | - Y Huo
- Department of Cardiology, Peking University First Hospital, 8 Xishiku Street, Xicheng District, Beijing 100034, China
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Dong P, Zhou B, Zou H, Wang Y, Liao X, Hu X, Zhang Y. High pressure homogenization inactivation of Escherichia coli and Staphylococcus aureus in phosphate buffered saline, milk and apple juice. Lett Appl Microbiol 2021; 73:159-167. [PMID: 33894066 DOI: 10.1111/lam.13487] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 03/30/2021] [Accepted: 04/11/2021] [Indexed: 11/29/2022]
Abstract
High pressure homogenization (HPH) offers new opportunities for food pasteurization/sterilization. Escherichia coli and Staphylococcus aureus suspended in phosphate buffered saline (PBS) buffer, milk and apple juice at initial concentration of ~106 log10 CFU per ml were subjected to HPH treatments up to 200 MPa with inlet temperatures at 4-40°C. After HPH at 200 MPa with the inlet temperature at 40°C, the count of E. coli suspended in PBS, milk and apple juice reduced by 3·42, 3·67 and 3·19 log10 CFU per ml respectively while the count of S. aureus decreased by 2·21, 1·02 and 2·33 log10 CFU per ml respectively suggesting that S. aureus was more resistant. The inactivation data were well fitted by the polynomial equation. Milk could provide a protective effect for S. aureus against HPH. After HPH at 200 MPa with the inlet temperature at 20°C, the cell structure of E. coli was destroyed, while no obvious damages were found for S. aureus.
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Affiliation(s)
- P Dong
- College of Food Science and Nutritional Engineering, National Engineering Research Center for Fruits and Vegetables Processing, Key Laboratory of Fruits and Vegetables Processing of Ministry of Agriculture, China Agricultural University, Beijing, China.,Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing, China
| | - B Zhou
- College of Food Science and Nutritional Engineering, National Engineering Research Center for Fruits and Vegetables Processing, Key Laboratory of Fruits and Vegetables Processing of Ministry of Agriculture, China Agricultural University, Beijing, China
| | - H Zou
- College of Food Science and Nutritional Engineering, National Engineering Research Center for Fruits and Vegetables Processing, Key Laboratory of Fruits and Vegetables Processing of Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Y Wang
- College of Food Science and Nutritional Engineering, National Engineering Research Center for Fruits and Vegetables Processing, Key Laboratory of Fruits and Vegetables Processing of Ministry of Agriculture, China Agricultural University, Beijing, China
| | - X Liao
- College of Food Science and Nutritional Engineering, National Engineering Research Center for Fruits and Vegetables Processing, Key Laboratory of Fruits and Vegetables Processing of Ministry of Agriculture, China Agricultural University, Beijing, China
| | - X Hu
- College of Food Science and Nutritional Engineering, National Engineering Research Center for Fruits and Vegetables Processing, Key Laboratory of Fruits and Vegetables Processing of Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Y Zhang
- College of Food Science and Nutritional Engineering, National Engineering Research Center for Fruits and Vegetables Processing, Key Laboratory of Fruits and Vegetables Processing of Ministry of Agriculture, China Agricultural University, Beijing, China
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Li C, Li G, Dong P, Li H, Meng W, Zhang D. Enhancement of Catalytic Activity for Benzene Hydroxylation over Novel V2O5/HZSM-5 Catalyst. Kinet Catal 2021. [DOI: 10.1134/s0023158421020075] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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17
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Dong P, Xing L. Deep DoseNet: A Deep Neural Network based Dose Calculation Algorithm. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2020.07.821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Ren T, Li YS, Geng YJ, Li ML, Wu XS, Wu WW, Wang XA, Shu YJ, Bao RF, Dong P, Gong W, Gu J, Wang XF, Lu JH, Mu JS, Pan WH, Zhang X, Zhang XL, Fei ZW, Zhang ZY, Wang Y, Cao H, Sun B, Cui YF, Zhu CF, Li B, Zheng LH, Qian YB, Liu J, Dang XY, Liu C, Peng SY, Quan ZW, Liu YB. [Analysis of treatment modalities and prognosis of patients with gallbladder cancer in China from 2010 to 2017]. Zhonghua Wai Ke Za Zhi 2020; 58:697-706. [PMID: 32878417 DOI: 10.3760/cma.j.cn112139-20200403-00279] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Objective: To evaluate the clinical characteristics and prognosis of gallbladder cancer (GBC) patients in China. Methods: This retrospective multicenter cohort study enrolled 3 528 consecutive GBC patients diagnosed between January 2010 to December 2017 in 15 hospitals from 10 provinces. There were 1 345 (38.12%) males and 2 183 (61.88%) females.The age of diagnosis was (63.7±10.8) years old (range: 26 to 99 years old) .There were 213 patients (6.04%) in stage 0 to Ⅰ, whereas 1 059 (30.02%) in stage Ⅱ to Ⅲ, 1 874 (53.12%) in stage Ⅳ, and 382 (10.83%) unavailable. Surgery was performed on 2 255 patients (63.92%) . Three hundred and thirty-six patients received chemotherapy or radiotherapy (9.52%; of which 172 were palliative); 1 101 (31.21%) received only supportive treatment.The patient source, treatment and surgery, pathology, concomitant gallstone, and prognosis were analyzed. Results: Among the 3 528 GBC patients, 959 (27.18%) were from East China, 603 (17.09%) from East-North China, 1 533 (43.45%) from Central China, and 433(12.27%) from West China. Among the 1 578 resectable tumor, 665 (42.14%) underwent radical surgery, 913 (57.86%) underwent surgery that failed to follow the guidelines.Eight hundred and ninety-one (56.46%) patients were diagnosed before surgery, 254 (16.10%) during surgery, and 381 (24.14%) after surgery (time point of diagnosis couldn't be determined in 52 patients) .Among the 1 578 patients with resectable tumor, 759 (48.10%) had concomitant gallstone.Among the 665 patients underwent radical surgery, 69 (10.4%) showed positive resection margin, 510 (76.7%) showed negative resection margin, and 86 (12.9%) unreported margin status.The 5-year overall survival rate (5yOS) for the 3 528-patient cohort was 23.0%.The 5yOS for patients with resectable tumor was 39.6%, for patients with stage ⅣB tumor without surgery was 5.4%, and for patients with stage ⅣB tumor underwent palliative surgery was 4.7%. Conclusions: More than half GBC patients in China are diagnosed in stage Ⅳ.Curative intent surgery is valuable in improving prognosis of resectable GBC.The treatment of GBC needs further standardization.Effective comprehensive treatment for GBC is in urgent need.
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Affiliation(s)
- T Ren
- Department of General Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Y S Li
- Department of General Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Y J Geng
- Department of General Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - M L Li
- Department of General Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - X S Wu
- Department of General Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - W W Wu
- Department of General Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - X A Wang
- Department of General Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Y J Shu
- Department of General Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - R F Bao
- Department of General Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - P Dong
- Department of General Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - W Gong
- Department of General Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - J Gu
- Department of General Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - X F Wang
- Department of General Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - J H Lu
- Department of General Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - J S Mu
- Department of General Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - W H Pan
- Department of Pediatric Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - X Zhang
- Clinical Research Unit, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - X L Zhang
- Department of General Surgery, Shanghai Fengxian District Central Hospital, Shanghai 201499, China
| | - Z W Fei
- Department of General Surgery, Xinhua (Chongming) Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 202150, China
| | - Z Y Zhang
- Department of General Surgery, Shaoxing Second Hospital, Shaoxing 312000, Zhejiang Province, China
| | - Y Wang
- Department of Gastrointestinal Surgery, the First People's Hospital of Taicang, Taicang 215400, Jiangsu Province, China
| | - H Cao
- Department of Gastrointestinal Surgery, China-Japan Union Hospital of Jilin University, Changchun 130033, China
| | - B Sun
- Department of Hepato-Pancreato-Biliary Surgery and Key Laboratory of Hepatosplenic Surgery, Ministry of Education, the First Affiliated Hospital of Harbin Medical University, Harbin 150009, China
| | - Y F Cui
- Department of Pancreatobiliary Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - C F Zhu
- Department of Hepato-Pancreato-Biliary Surgery, Changzhou the Second People's Hospital, Changzhou 213003, China
| | - B Li
- Department of Hepato-Pancreato-Biliary Surgery, Harbin Medical University Cancer Hospital, Harbin 250081, China
| | - L H Zheng
- Department of General Surgery, the First Affiliated Hospital of Nanchang University, Nanchang 330019, China
| | - Y B Qian
- Department of Hepato-Pancreato-Biliary Surgery, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - J Liu
- Department of Hepatobiliary Surgery, Shangdong Provincial Hospital, Jinan 250021, China
| | - X Y Dang
- Department of General Surgery, Shanxi Provincial Cancer Hospital, Taiyuan 030013, China
| | - C Liu
- Department of Hepatobiliary Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China
| | - S Y Peng
- Department of Hepato-Pancreato-Biliary Surgery, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China
| | - Z W Quan
- Department of General Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Y B Liu
- Department of Pancreatobiliary Surgery, Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Key Laborary of Biliary Tract Disease Research, and State Key Laboratory for Oncogenes and Related Genes, Shanghai 200127, China
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19
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Wang H, Liu CC, Bai FZ, Zhu J, Yan XX, Cao MD, Du LB, Wei DH, Wang DB, Liao XZ, Dong D, Gao Y, Dong P, Zhu C, Ma YL, Chai J, Xiao HF, Kong YX, Zhang Q, Zheng WF, Ying RB, Zhou H, Ren JS, Li N, Chen HD, Shi JF, Dai M. [Population's acceptance and attitude toward a novel fecal immunochemical test for colorectal cancer screening: a multi-center survey in China]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:760-767. [PMID: 32842299 DOI: 10.3760/cma.j.cn112150-20191218-00941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the acceptance and attitude toward a novel fecal immunochemical test (FIT) in colorectal cancer screening among populations in China. Methods: From May 2018 to May 2019, 2 474 people aged 50-74 years were recruited from five provinces of China (Zhejiang, Anhui, Jiangsu, Hunan and Yunnan). The general demographic characteristics, acceptance of the new FIT technology and operational difficulties through the whole screening process were obtained through questionnaire survey. Multivariate logistic regression model was used to analyze the factors related to difficulties encountered in sampling stool, reading and uploading results. Results: The subjects were (60.0±6.4) years old, and female, high school of above educated, unemployed/retired/other, married and with medical insurance status of "new rural cooperative medical care (NRCMC)" accounted for 61.7% (1 526), 29.0%(718), 34.3% (849), 92.7% (2 293) and 31.3%(775), respectively. The population's acceptance of the FIT technology was 94.8%. In the process of FIT screening, the percentage of occurred difficulties in sampling stool, reading and uploading results were 33.1% (819), 46.4% (1 147) and 62.9% (1 557), respectively. The main difficulties were the uncertainty about whether the sampling operation was standard (28.0%), the inability to accurately judge the result displayed (32.5%) and the need for help without using a smartphone (44.2%). The results of multivariate logistic regression model analysis showed that people aged 65-74 years old and with medical insurance status of "NRCMC" were more likely to encounter difficulties in sampling, and those who were unemployed/retired/other and living with 3 or more family members were less likely to encounter difficulties in sampling. Those aged 65-74 years old, farmers or migrant workers, and those with "NRCMC" were more likely to encounter difficulties in readingresults, and those with 3 or more family members were less likely to encounter difficulties in reading result. Those with "NRCMC" were more likely to encounter difficulties in uploading results, and those with education level of high school or above, living with more than 3 family members were less likely to encounter difficulties in uploading results. Conclusion: The acceptance of the new FIT technology is relatively high among the subjects. Age, education level, occupation, number of family members living together and medical insurance status might be related to difficulties encountered in sampling stool, reading and uploading results, and it can be further strengthened in terms of the technology and characteristics of sub-populations.
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Affiliation(s)
- H Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - F Z Bai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J Zhu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - X X Yan
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M D Cao
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L B Du
- Institute of Cancer and Basic Medicine, Chinese Academy of Sciences/ Department of Cancer Prevention,Cancer Hospital of the University of Chinese Academy of Sciences/ Department of Cancer Prevention,Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - D H Wei
- Office for Cancer Prevention and Control, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - D B Wang
- School of Health Services Management, Anhui Medical University, Hefei 230032, China
| | - X Z Liao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - D Dong
- Office of Cancer Prevention and Treatment, Xuzhou Cancer Hospital, Xuzhou 221000, Jiangsu Province, China
| | - Y Gao
- Department of Colorectal Surgery, Department of Tumor Hospital of Yunnan Province/Third Affiliated Hospital of Kunming Medical University, Kunming 650118, China
| | - P Dong
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - C Zhu
- Institute of Cancer and Basic Medicine, Chinese Academy of Sciences/ Department of Cancer Prevention,Cancer Hospital of the University of Chinese Academy of Sciences/ Department of Cancer Prevention,Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - Y L Ma
- Office for Cancer Prevention and Control, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - J Chai
- School of Health Services Management, Anhui Medical University, Hefei 230032, China
| | - H F Xiao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - Y X Kong
- Office of Cancer Prevention and Treatment, Xuzhou Cancer Hospital, Xuzhou 221000, Jiangsu Province, China
| | - Q Zhang
- Department of Cancer Prevention, Department of Tumor Hospital of Yunnan Province/ Third Affiliated Hospital of Kunming Medical University, Kunming 650118, China
| | - W F Zheng
- Department of Proctology, Lanxi Red Cross Hospital, Lanxi 321100, Zhejiang Province, China
| | - R B Ying
- Department of Surgical Oncology, Taizhou Cancer Hospital, Taizhou 317502, Zhejiang Province, China
| | - H Zhou
- Administrative Management Office, Yunnan Cancer Hospital/ The Third Affiliated Hospital of Kunming Medical University/ Yunnan Cancer Center, Kunming 650118, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - H D Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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20
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Mao AY, Shi JF, Qiu WQ, Liu CC, Dong P, Huang HY, Wang K, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Dai M, Chen WQ. [Analysis on the consciousness of the cancer early detection and its influencing factors among urban residents in China from 2015 to 2017]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:54-61. [PMID: 31914570 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the consciousness of the cancer early detection among urban residents and identify the influencing factors from 2015 to 2017. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. Self-designed questionnaires were used to collect population, socioeconomic indicators, self-cancer risk assessment, regular participation in physical examination and other information. The multivariate logistic regression model was used to identify the factors of people who had not regularly participated in the regular physical examination in the past five years. Results: The self-assessment results of 32 357 residents showed that there were 27.54% (8 882) of total study population with self-reported cancer risk, 45.48% (14 671) without cancer risk and 26.98% (8 704) with unclear judgement on their own cancer risk. Among population with cancer risk, 79.84% (7 091) considered physical examination accounted. In the past five years, there were 21 105 (65.43%) residents participated in regular physical examination and 11 148 (34.56%) participated in non-scheduled one, respectively. The multivariate logistic regression analysis showed that compared with unmarried and western region residents, divorced, middle and eastern region residents had a stronger consciousness to participate in the regular physical examination (P<0.05). Compare with residents with annual household income less than 20 000 CNY in 2014, cancer risk assessment/screening intervention population, and self-assessment with cancer risk, residents with annual household income between 20 000 CNY and 59 000 CNY in 2014, occupational population, community residents, cancer patients, self-reported cancer-free risk, and self-assessment with unclear judgement of cancer risk were less likely to participate in the regular physical examination (all P values <0.05). Conclusion: From 2015 to 2017, the Chinese urban residents had a acceptable consciousness of the cancer early detection. The marital status, annual household income, population group and self-assessment of cancer risk were related to the consciousness of the cancer early detection of people who had not participated in the regular physical examination in the past five years.
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Affiliation(s)
- A Y Mao
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Qiu
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - P Dong
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - H Y Huang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - K Wang
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - D B Wang
- Health Management College, Anhui Medical University, Hefei 230032, China
| | - G X Liu
- School of Public Health, Harbin Medical University, Harbin 150081, China
| | - X Z Liao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - Y N Bai
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- School of Health Care Management, Shandong University, Jinan 250012, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Yang
- School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - D H Wei
- Department of Medical Examination for Cancer Prevention, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - B B Song
- The Department of Cancer Prevention and Control, Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - H K Lei
- Department of Cancer Research and Control, Chongqing University Cancer Hospital/Chongqing Cancer Institute/Chongqing Cancer Hospital, Chongqing 400030, China
| | - Y Q Liu
- Department of Cancer Epidemiology, Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - Y Z Zhang
- Department of Epidemiology, Shanxi Provincial Center Hospital, Taiyuan 030013, China
| | - S Y Ren
- Institute for Chronic and Non-communicable Disease Prevention and Control, Yunnan Center for Disease Prevention and Control,Kunming 650118, China
| | - J Y Zhou
- Department of Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - J L Wang
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - J Y Gong
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - L Z Yu
- Institute for Chronic and Non-communicable Disease Prevention and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Y Y Liu
- The Department of Cancer Prevention and Control, Liaoning Cancer Hospital & Institute, Shenyang 110042, China
| | - L Zhu
- Cancer Research Institute, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - L W Guo
- Office for Cancer Control and Research, Henan Cancer Hospital/The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - Y Q Wang
- Department of Cancer Prevention, Cancer Hospital of University of Chinese Academy of Sciences/Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - Y T He
- The Department of Cancer Prevention and Control, Cancer Institute, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - P A Lou
- Department of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - B Cai
- Department of Health Education and Chronic Disease Control, Nantong Center for Disease Control and Prevention, Nantong 226000, China
| | - X H Sun
- Endocrine Department, Ningbo NO.2 Hospital, Ningbo 315010,China
| | - S L Wu
- Department of Cardiovascular Diseases, Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Office of Cancer Screening, Tangshan People's Hospital, Tangshan 063001, China
| | - K Zhang
- Department of Medical Examination for Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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21
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Wang K, Liu CC, Mao AY, Shi JF, Dong P, Huang HY, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Chen WQ, Qiu WQ, Dai M. [Analysis on the demand, access and related factors of cancer prevention and treatment knowledge among urban residents in China from 2015 to 2017]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:84-91. [PMID: 31914574 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the demand and access to the cancer prevention and treatment knowledge and related factors among urban residents in China from 2015 to 2017. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The self-designed questionnaire was used to collect the information of general demographic characteristics, the demand and access to cancer prevention and treatment knowledge, and the influencing factors of the attitude. The Chi-square test was used to analyze the difference of the demand of the cancer prevention knowledge among different groups and the corresponding factors of the cancer prevention and treatment knowledge were analyzed by using the logistic regression model. Results: The proportion of residents who need the cancer prevention and treatment knowledge was 79.5%. The demand rate of the inducement, symptom and diagnosis methods of cancer in the occupational population was highest, about 66.8%, 71.0% and 20.8%, respectively. The demand rate of treatment methods and cost in current cancer patients was the highest, about the 45.9% and 21.9%, respectively. The top three sources to acquire the cancer prevention and treatment knowledge were "broadcast or television" (69.5%), "books, newspapers, posters or brochures" (44.7%) and "family and friends" (33.8%). The multivariate analysis showed that compared with public institution personnel/civil servants, unmarried/cohabiting/divorced/widowed and others, annual household income less than 20 000 CNY, from the eastern region, people without cancer diagnosis and people with self-assessment of cancer risk, the demand rate of cancer prevention and treatment knowledge was higher in enterprise personnel/workers, married, annual household income between 60 000 CNY and 150 000 CNY, from the central region, people with cancer and people with unclear cancer risk (all P values <0.05). Conclusion: There was a high demand for the cancer prevention and treatment knowledge among urban residents in China from 2015 to 2017. The main access to the knowledge is from the radio or television. The occupation, marital status, annual household income, residential region, health status and risk of disease were the main factors of the demand of the cancer prevention and treatment knowledge.
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Affiliation(s)
- K Wang
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - A Y Mao
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - P Dong
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - H Y Huang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - D B Wang
- Health Management College, Anhui Medical University, Hefei 230032, China
| | - G X Liu
- School of Public Health, Harbin Medical University, Harbin 150081, China
| | - X Z Liao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - Y N Bai
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- School of Health Care Management, Shandong University, Jinan 250012, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Yang
- School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - D H Wei
- Department of Medical Examination for Cancer Prevention, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - B B Song
- The Department of Cancer Prevention and Control, Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - H K Lei
- Department of Cancer Research and Control, Chongqing University Cancer Hospital/Chongqing Cancer Institute/Chongqing Cancer Hospital, Chongqing 400030, China
| | - Y Q Liu
- Department of Cancer Epidemiology, Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - Y Z Zhang
- Department of Epidemiology, Shanxi Provincial Center Hospital, Taiyuan 030013, China
| | - S Y Ren
- Institute for Chronic and Non-communicable Disease Prevention and Control, Yunnan Center for Disease Prevention and Control, Kunming 650118, China
| | - J Y Zhou
- Department of Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - J L Wang
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - J Y Gong
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - L Z Yu
- Institute for Chronic and Non-communicable Disease Prevention and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Y Y Liu
- The Department of Cancer Prevention and Control, Liaoning Cancer Hospital & Institute, Shenyang 110042, China
| | - L Zhu
- Cancer Research Institute, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - L W Guo
- Office for Cancer Control and Research, Henan Cancer Hospital/The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou 450008, China
| | - Y Q Wang
- Department of Cancer Prevention, Cancer Hospital of University of Chinese Academy of Sciences/Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - Y T He
- The Department of Cancer Prevention and Control, Cancer Institute, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - P A Lou
- Department of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou221006, China
| | - B Cai
- Department of Health Education and Chronic Disease Control, Nantong Center for Disease Control and Prevention, Nantong 226000, China
| | - X H Sun
- Endocrine Department, Ningbo NO.2 Hospital, Ningbo 315010, China
| | - S L Wu
- Department of Cardiovascular Diseases, Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Office of Cancer Screening, Tangshan People's Hospital, Tangshan 063001, China
| | - K Zhang
- Department of Medical Examination for Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Qiu
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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22
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Liu CC, Shi CL, Shi JF, Mao AY, Huang HY, Dong P, Bai FZ, Chen YS, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Xu WH, Qiu WQ, Dai M, Chen WQ. [Study on the health literacy and related factors of the cancer prevention consciousness among urban residents in China from 2015 to 2017]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:47-53. [PMID: 31914569 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the health literacy and relevant factors of cancer prevention consciousness in Chinese urban residents from 2015 to 2017. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The self-designed questionnaire was used to collect the information of demographic characteristics and cancer prevention consciousness focusing on nine common risk factors, including smoking, alcohol, fiber food, food in hot temperature or pickled food, chewing betel nut, helicobacter pylori, moldy food, hepatitis B infection, estrogen, and exercise. The logistic regression model was adopted to identify the influencing factors. Results: The overall health literacy of the cancer prevention consciousness was 77.4% (24 980 participants), with 77.4% (12 018 participants), 79.9% (6 406 participants), 77.2% (1 766 participants) and 74.5% (4 709 participants) in each group (P<0.001). The correct response rates for nine risk factors ranged from 55.2% to 93.0%. The multivariate logistic regression analysis showed that compared with community residents, people with primary school level education or below, and the number of people living together in the family <3, the cancer risk assessment/screening intervention population, cancer patients, those with junior high school level educationor above and the number of people living in the family ≥3 had better health literacy of the cancer prevention consciousness (all P values <0.05). Compared with females, 39 years old and below, government-affiliated institutions or civil servants, from the eastern region, males, older than 40 years, company or enterprise employees, and from the middle or western region had worse health literacy of the cancer prevention consciousness (all P values <0.05). Conclusion: The health literacy of the cancer prevention consciousness in Chinese urban residents should be improved. The cancer screening intervention, gender, age, education, occupation, the number of people co-living in the family, and residential region were associated with the health literacy of the cancer prevention consciousness.
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Affiliation(s)
- C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - C L Shi
- Department of Disease Control and Prevention, Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - A Y Mao
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - H Y Huang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - P Dong
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - F Z Bai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y S Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - D B Wang
- Health Management College, Anhui Medical University, Hefei 230032, China
| | - G X Liu
- School of Public Health, Harbin Medical University, Harbin 150081, China
| | - X Z Liao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - Y N Bai
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- Scholl of Health Care Management, Shandong University, Jinan 250012, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Yang
- School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - D H Wei
- Department of Medical Examination for Cancer Prevention, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - B B Song
- The department of Cancer Prevention and Control, Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - H K Lei
- Department of Cancer Research and Control, Chongqing University Cancer Hospital/Chongqing Cancer Institute/Chongqing Cancer Hospital, Chongqing 400030, China
| | - Y Q Liu
- Department of Cancer Epidemiology, Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - Y Z Zhang
- Department of Epidemiology, Shanxi Provincial Center Hospital, Taiyuan 030013, China
| | - S Y Ren
- Institute for Chronic and Non-communicable Disease Prevention and Control, Yunnan Center for Disease Prevention and Control, Kunming 650118, China
| | - J Y Zhou
- Department of Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - J L Wang
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - J Y Gong
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - L Z Yu
- Institute for Chronic and Non-communicable Disease Prevention and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Y Y Liu
- The Department of Cancer Prevention and Control, Liaoning Cancer Hospital/Institute, Shenyang 110042, China
| | - L Zhu
- Cancer Research Institute, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - L W Guo
- Office for Cancer Control and Research, Henan Cancer Hospital/The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - Y Q Wang
- Department of Cancer Prevention, Cancer hospital of University of Chinese Academy of Sciences/Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - Y T He
- The Department of Cancer Prevention and Control, Cancer Institute, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - P A Lou
- Department of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou221006, China
| | - B Cai
- Department of Health Education and Chronic Disease Control, Nantong Center for Disease Control and Prevention, Nantong 226000, China
| | - X H Sun
- Endocrine Department, Ningbo NO.2 Hospital, Ningbo 315010, China
| | - S L Wu
- Department of Cardiovascular Diseases, Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Office of Cancer Screening, Tangshan People's Hospital, Tangshan 063001, China
| | - K Zhang
- Department of Medical Examination for Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W H Xu
- Key Lab of Health Technology Assessment of Ministry of Health, School of Public Health, Fudan University, Shanghai 200032, China
| | - W Q Qiu
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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23
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Dong P, Shi JF, Qiu WQ, Liu CC, Wang K, Huang HY, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Dai M, Chen WQ, Mao AY, He J. [Analysis on the health literacy of the cancer prevention and treatment and its related factors among urban residents in China from 2015 to 2017]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:76-83. [PMID: 31914573 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the health literacy of the cancer prevention and treatment among urban residents of China, and explore the related factors. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China (CanSPUC) from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The health literacy of the cancer prevention, early discovery, early diagnosis, early treatment and the demands of cancer prevention and treatment knowledge was analyzed. The level of health literacy among different groups were calculated and compared. The binary logistic regression model was used to analyze the influencing factors of the health literacy of the cancer prevention and treatment. Results: The level of health literacy of the cancer prevention and treatment was 56.97% among all study population; in each group it was 55.01% for community residents, 59.08% for cancer risk assessment/screening population, 61.99% for cancer patients and 57.31% for occupational population, respectively (P<0.001). The level of health literacy of the cancer prevention and treatment of residents aged 50 to 69 years old, other occupational groups, unmarried, the central and western region residents and the group with unclear self-assessment of cancer risk was significantly lower than that of residents younger than 40 years old, personnel of public institutions/civil servants, married, the eastern region residents and the group whose self-assessment without cancer risk (P<0.05) . The level of health literacy of cancer prevention and treatment of females, people who went to high school or over, cancer risk assessment/screening population, cancer patients and occupational population was significantly higher than that of males, people who had an education level of primary school or below and community residents (P<0.05) . Conclusion: The health literacy of the cancer prevention and treatment of urban residents in China was relatively high, but there was still room for improvement. Gender, age, educational level, occupation, region, marital status, self-assessment of cancer risk, and type of respondents were the key influencing factors of the health literacy of the cancer prevention and treatment. Male, 50-69 years old, lower educational level, central and western regions, unclear cancer risk self-assessment, and without specific environmental exposure to cancer prevention and treatment knowledge or related risk factors were the characteristics of the key intervention group of the health literacy of the cancer prevention and treatment.
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Affiliation(s)
- P Dong
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Qiu
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - K Wang
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - H Y Huang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - D B Wang
- Health Management College, Anhui Medical University, Hefei 230032, China
| | - G X Liu
- School of Public Health, Harbin Medical University, Harbin 150081, China
| | - X Z Liao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - Y N Bai
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- School of Health Care Management, Shandong University, Jinan 250012, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Yang
- School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - D H Wei
- Department of Medical Examination for Cancer Prevention, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - B B Song
- The Department of Cancer Prevention and Control, Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - H K Lei
- Department of Cancer Research and Control, Chongqing University Cancer Hospital/Chongqing Cancer Institute/Chongqing Cancer Hospital, Chongqing 400030, China
| | - Y Q Liu
- Department of Cancer Epidemiology, Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - Y Z Zhang
- Department of Epidemiology, Shanxi Provincial Center Hospital, Taiyuan 030013, China
| | - S Y Ren
- Institute for Chronic and Non-communicable Disease Prevention and Control, Yunnan Center for Disease Prevention and Control, Kunming 650118, China
| | - J Y Zhou
- Department of Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - J L Wang
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - J Y Gong
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - L Z Yu
- Institute for Chronic and Non-communicable Disease Prevention and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Y Y Liu
- The Department of Cancer Prevention and Control, Liaoning Cancer Hospital & Institute, Shenyang 110042, China
| | - L Zhu
- Cancer Research Institute, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - L W Guo
- Office for Cancer Control and Research, Henan Cancer Hospital/The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - Y Q Wang
- Department of Cancer Prevention, Cancer hospital of University of Chinese Academy of Sciences/Zhejiang cancer hospital, Hangzhou 310022, China
| | - Y T He
- The Department of Cancer Prevention and Control, Cancer Institute, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - P A Lou
- Department of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - B Cai
- Department of Health Education and Chronic Disease Control, Nantong Center for Disease Control and Prevention, Nantong 226000, China
| | - X H Sun
- Endocrine Department, Ningbo NO.2 Hospital, Ningbo 315010, China
| | - S L Wu
- Department of Cardiovascular Diseases, Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Office of Cancer Screening, Tangshan People's Hospital, Tangshan 063001, China
| | - K Zhang
- Department of Medical Examination for Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - A Y Mao
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - J He
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Li HC, Wang K, Yuan YN, Mao AY, Liu CC, Liu S, Yang L, Huang HY, Dong P, Wang DB, Liu GX, Liao XZ, Bai YN, Sun XJ, Ren JS, Yang L, Wei DH, Song BB, Lei HK, Liu YQ, Zhang YZ, Ren SY, Zhou JY, Wang JL, Gong JY, Yu LZ, Liu YY, Zhu L, Guo LW, Wang YQ, He YT, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, Li N, Dai M, Chen WQ, Wang N, Qiu WQ, Shi JF. [Analysis on the consciousness of the early cancer treatment and its influencing factors among urban residents in China from 2015 to 2017]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:69-75. [PMID: 31914572 DOI: 10.3760/cma.j.issn.0253-9624.2020.01.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the consciousness of the cancer early treatment and its demographic and socioeconomic factors. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China (CanSPUC) from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The questionnaire collected personal information, the consciousness of the cancer early treatment and relevant factors. The Chi square test was used to compare the difference between the consciousness of the cancer early treatment and relevant factors among the four groups. The logistic regression model was used to analyze the influencing factors related to the consciousness of the cancer early treatment. Results: With the assumption of being diagnosed as precancer or cancer, 89.97% of community residents, 91.84% of cancer risk assessment/screening population, 93.00% of cancer patients and 91.52% of occupational population would accept active treatments (P<0.001). If the immediate family members were diagnosed as precancer or cancer, people who would encourage their family members to receive early treatment in the four groups accounted for 91.96%, 91.94%, 92.44% and 91.55%, respectively (P<0.001). The company employees, annual household income with 40 000 yuan and more and other three groups had a relatively better consciousness of the cancer early treatment (P<0.05). Male, widowed, unemployed and from the central and western regions had a relatively worse consciousness of the cancer early treatment (P<0.05). Conclusion: Residents in urban China participants had a good consciousness of the cancer early treatment. The marital status, occupation, annual household income and residential regions were major factors related to the consciousness of the cancer early treatment.
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Affiliation(s)
- H C Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - K Wang
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - Y N Yuan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - A Y Mao
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - S Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - L Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - H Y Huang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - P Dong
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - D B Wang
- Health Management College, Anhui Medical University, Hefei 230032, China
| | - G X Liu
- School of Public Health, Harbin Medical University, Harbin 150081, China
| | - X Z Liao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - Y N Bai
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- School of Health Care Management, Shandong University, Jinan 250012, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Yang
- School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - D H Wei
- Department of Medical Examination for Cancer Prevention, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - B B Song
- The Department of Cancer Prevention and Control, Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - H K Lei
- Department of Cancer Research and Control, Chongqing University Cancer Hospital/Chongqing Cancer Institute/Chongqing Cancer Hospital, Chongqing 400030, China
| | - Y Q Liu
- Department of Cancer Epidemiology, Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - Y Z Zhang
- Department of Epidemiology, Shanxi Provincial Center Hospital, Taiyuan 030013, China
| | - S Y Ren
- Institute for Chronic and Non-communicable Disease Prevention and Control, Yunnan Center for Disease Prevention and Control, Kunming 650118, China
| | - J Y Zhou
- Department of Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - J L Wang
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - J Y Gong
- The Department of Cancer Prevention and Control, Shandong Tumor Hospital, Jinan 250117, China
| | - L Z Yu
- Institute for Chronic and Non-communicable Disease Prevention and Control, Liaoning Provincial Center for Disease Control and Prevention, Shenyang 110005, China
| | - Y Y Liu
- The Department of Cancer Prevention and Control, Liaoning Cancer Hospital & Institute, Shenyang 110042, China
| | - L Zhu
- Cancer Research Institute, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - L W Guo
- Office for Cancer Control and Research, Henan Cancer Hospital/The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China
| | - Y Q Wang
- Department of Cancer Prevention, Cancer hospital of University of Chinese Academy of Sciences/Zhejiang cancer hospital, Hangzhou 310022, China
| | - Y T He
- The Department of Cancer Prevention and Control, Cancer Institute, The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang 050011, China
| | - P A Lou
- Department of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - B Cai
- Department of Health Education and Chronic Disease Control, Nantong Center for Disease Control and Prevention, Nantong 226000, China
| | - X H Sun
- Endocrine Department, Ningbo NO.2 Hospital, Ningbo 315010, China
| | - S L Wu
- Department of Cardiovascular Diseases, Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Officeof Cancer Screening, Tangshan People's Hospital, Tangshan 063001, China
| | - K Zhang
- Department of Medical Examination for Cancer Prevention, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - W Q Qiu
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Li HZ, Du LB, Zhu C, Wang YQ, Dong P, Chen YY. [Analysis on the age of onset of malignant tumors in cancer registration areas in Zhejiang Province from 2000 to 2015]. Zhonghua Yu Fang Yi Xue Za Zhi 2019; 53:1253-1258. [PMID: 31795582 DOI: 10.3760/cma.j.issn.0253-9624.2019.12.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To study the age of onset of malignant tumors in cancer registration areas in Zhejiang province from 2000 to 2015. Methods: Based on the incidence data of cancer from 14 national cancer registration areas in Zhejiang province between 2000 and 2015, the incidence rate, average/standardized average age of onset, and age-specific incidence proportion were calculated, and standardized by Segi's world population. The population was divided into 7 age groups (0-29, 30-39, 40-49, 50-59, 60-69, 70-79, ≥80 years old). The average age of onset and age-specific incidence proportion were analyzed by using a linear regression. The change trend of the proportion; the average annual percent change (AAPC) of the incidence rate was calculated by using the Joinpoint log-linear regression model. The birth cohort was constructed by using the standardized incidence rate and the year of onset of cancer, and the distribution characteristics of the age groups were described. Results: From calendar year 2000 to 2015, the average age of onset of malignant tumors in Zhejiang Province decreased from 59.7 to 57.6, with an average annual percent decrease of 0.09 year (P=0.033). After the merge of age groups, the standardized incidence proportion of 30-49 and ≥60 years old group standardization increased by an average annual change of 0.38% and decreased by an average annual change of 0.39%, respectively (both P values <0.001). The results of the log-linear regression model showed that the standardized incidence rate of the 30-39 and 40-49 years old age groups increased rapidly, with the AAPC (95%CI) about 5.2% (4.4%-6.0%) and 3.4% (2.5%-4.3%), respectively. The incidence rate of female increased rapidly, especially for 30-39 and 40-49 years old age groups with the AAPC about 6.2% (5.1%-7.2%) and 4.9% (4.0%-5.9%), respectively. The results of the birth cohort analysis showed that the population with different birth years in the same age groups saw an increasing trend with the increase of the birth year. Conclusion: The age of onset of malignant tumors in the cancer registration areas in Zhejiang Province is getting younger. The incidence rate and number of people with malignant tumors in 30-49 years old age group is evident. These characteristics are more obvious in female than that in male.
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Affiliation(s)
- H Z Li
- Department of Cancer Prevention, Institute of Cancer Research and Basic Medical Sciences of Chinese Academy of Sciences/Cancer Hospital of University of Chinese Academy of Sciences/Zhejiang Cancer Hospital, Hangzhou 310004, China
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Dong P, Liu WJ, Wang ZH. MiR-154 promotes myocardial fibrosis through β-catenin signaling pathway. Eur Rev Med Pharmacol Sci 2019; 22:2052-2060. [PMID: 29687862 DOI: 10.26355/eurrev_201804_14735] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To discover the mechanisms of miR-154 affecting myocardial fibrosis. PATIENTS AND METHODS Human cardiac fibroblasts (CFs) were cultured in medium containing 10% serum for 48 h. The expression of miRNA-154 in human CFs was detected by Real-time quantitative polymerase chain reaction (qRT-PCR). The miRNA-154 mimics and inhibitors were synthesized and transfected into fibroblasts, respectively. Cell proliferation rate was determined by cell counting kit-8 (CCK8). Collagen I and collagen III, myofibroblast marker (a-SMA) and β-catenin were detected by Western blotting. Transwell migration assay was used to detect the changes of invasiveness of CFs. After the overexpression vector or siRNA of glycogen synthase kinase-3β (GSK-3β) was transfected into fibroblasts, we performed Western blot to detect a-SMA and β-catenin expression. RESULTS MiR-154 was overexpressed in cardiomyocytes, and when miR-154 was inhibited, the expression of collagen I, collagen III, a-SMA, β-catenin, and the invasiveness of CFs decreased. Therefore, we considered that miR-154 could promote myocardial fibrosis by inhibiting the expression of GSK-3β. CONCLUSIONS MiR-154 can inhibit GSK-3β expression by activating Wnt/β-catenin signaling pathway, which promotes myocardial fibrosis.
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Affiliation(s)
- P Dong
- Department of Cardiovascular Medicine, Beijing Aviation General Hospital, Beijing, China.
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Dong P, Xing L. DoseNet: A Deep Neural Network for Accurate Dosimetric Transformation between Different Spatial Resolutions and/or Different Dose Calculation Algorithms for Precision Radiation Therapy. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.2471] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Li XD, Guo SJ, Chen SL, Liu ZF, Dong P, Zhang ZL, Jiang LJ, Yao K, Li YH, Han H, Qin ZK, Liu ZW, Zhou FJ. [Clinical outcome of postchemotherapy retroperitoneal lymph node dissection and predicting retroperitoneal histology in advanced nonseminomatous germ cell tumours of the testis]. Zhonghua Wai Ke Za Zhi 2019; 55:603-607. [PMID: 28789511 DOI: 10.3760/cma.j.issn.0529-5815.2017.08.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the clinical outcome of advanced testicular nonseminomatous germ cell cancer patients undergoing post chemotherapy retroperitoneal lymph node dissection (PC-RPLND), and to analyze the relevant prognostic factors of lymph node pathological. Methods: A total of 43 consecutive testicular nonseminomatous germ cell cancer patients underwent PC-RPLND between March 2001 and December 2014 in Department of Urology at Sun Yat-sen University Cancer Center were retrospectively reviewed. The average age of the patients was (29.0±11.5) years (ranging from 12 to 58 years). Before PC-RPLND, 22 patients were classified as phase Ⅱ, while 21 were phase Ⅲ. Primary tumor histology revealed seminomatous elements in 19 cases, embryonal cell carcinoma in 22 cases, yolk sac tumor in 13 cases, chorionic carcinoma in 3 cases, mature teratomatous elements in 11 and immature teratomatous elements in 2 cases. Patients were treated with cisplatin-based chemotherapy after orchectomy and then underwent surgical resection of retroperitoneal lymph nodes.After PC-RPLND, all patients underwent a periodic review including the blood routine, biochemistry routine and computed tomography or ultrasonograph of the chest, the abdomen and the pelvis. The association of pathological data with patient's clinic features and the correlations between molecular features detected with each other were assessed by the t test, χ(2) and Fisher's exact test. Multivariate logistic regression were used to assess prognostic factors. Results: The median operative time was 278 minutes (ranging from 50 to 715 minutes). Median blood loss was 425 ml (ranging from 50 to 5 000 ml). Eight patients received blood transfusion intra-operatively, 2 patients underwent adjunctive surgical procedures, 4 patients developed ileus and 4 had an ascites chylosus following PC-RPLND, 1 patient had a postoperative hyperthermia and retrograde ejaculation was present in 10 patients. The transverse diameter of the residual tumor in patients ranged from 0.8 to 18.2 cm. Necrosis, teratoma and viable germ cell tumors were found in 15, 17 and 11 of all patients. The median follow-up time was 46 months (ranging from 6 to 169 months). There were 39 patients had no tumor recurrence, 7 patients were found recurrence after PC-RPLND, 5 died of malignant germ cell tumor. The normal serum lactate dehydrogenase (LDH) level before chemotherapy (HR=25.811, 95%CI: 0.678 to 982.624, P=0.017) and relative changes more than 50% in retroperitoneal lymph node size (HR=0.016, 95%CI: 0 to 0.698, P=0.032) were statistically significant prognostic factors of the presence of necrosis. Conclusions: Since most residual masses are not sensitive to chemotherapy, PC-RPLND is still an essential part of the treatment of metastatic testicular nonseminomatous germ cell cancer. Patients with the normal serum LDH level before chemotherapy and a shrinkage of 50% or more in retroperitoneal mass have a considerably chance of having necrosis in the retroperitoneum resection. This may help to refine the selection of candidates for PC-RPLND.
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Affiliation(s)
- X D Li
- Department of Urology, Sun Yat-Sen University Cancer Center, Guangzhou 510060, China
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Lin Z, Hu WM, Li YH, Jiang LJ, Rao K, Dong P, Liu ZW, Wu ZM, Chen WK. [Surgical treatment for inflammatory myofibroblastic tumor in genito-urinary system: a study of 15 cases]. Zhonghua Yi Xue Za Zhi 2019; 99:947-949. [PMID: 30917447 DOI: 10.3760/cma.j.issn.0376-2491.2019.12.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To present 15 cases of inflammatory myofibroblastic tumor (IMT) in genitor-urinary system, and analyze the characteristics, diagnosis and treatment of the disease. Methods: The diagnostic and therapeutic process of 15 confirmed cases admitted to Sun Yat-sen University Cancer Center between March 2009 and September 2017 were retrospectively analyzed. Of the total cases, 11 cases were diagnosed with cystic IMT with a maximum diameter of 1.0-4.5 cm, 8 cases underwent transurethral resection of bladder tumor(TURBT)and 4 of them underwent partial cystectomy after TURBT and 3 underwent partial cystectomy directly. Two cases were renal IMT with a maximum diameter of 4.0-9.0 cm, one underwent partial nephrectomy and the other accepted radical nephrectomy. One case who was diagnosed with prostatic IMT with a maximum diameter of 3.4 cm underwent transurethral resection of the prostate (TURP) and postoperative radiotherapy. One case who was diagnosed with perineal IMT with a maximum diameter of 2.1 cm underwent tumor resection. Results: The patients were followed up for 10-32 months with a median time of 27 months. No cases relapsed during the follow-up. Conclusion: Surgery is the preferred method for treating IMT in genitor-urinary system. Retrospective study shows a good prognosis in IMT patients, but a long-term follow-up is still required.
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Affiliation(s)
- Z Lin
- Department of Surgery, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - W M Hu
- Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Y H Li
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - L J Jiang
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - K Rao
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - P Dong
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Z W Liu
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Z M Wu
- Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - W K Chen
- Department of Head and Neck Surgery, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
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Niu HT, Dong P, Wang JN, Zeng YX, Yuan W, Yuan P. [Expression of anaplastic lymphoma kinase fusion gene in patients with lung sarcomatoid carcinoma and treatment analysis]. Zhonghua Yi Xue Za Zhi 2019. [PMID: 29534405 DOI: 10.3760/cma.j.issn.0376-2491.2018.09.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the expression status of anaplastic lymphoma kinase (ALK) fusion gene in lung sarcomatoid carcinoma (LSC) and the role of ALK inhibitors for treatment. Methods: Total of 84 cases of LSC confirmed by histopathology were detected for ALK fusion gene from January 2011 to December 2014 in the Cancer Hospital of Chinese Academy of Medical Science&Peking Union Medical College and Shandong Zibo Wanjie Cancer Hospital. All patients were primarily treated by the multi-disciplinary mode in combination with chemotherapy or targeted therapy based on surgery. Postoperative adjuvant chemotherapy was given on platinum based two-drug combination regimen. In ALK fusion gene (+ ) patients with recurrence or metastasis, crizotinib target therapy was prefered. Chi-square test was applied for the comparison of 1, 3, 5-year survival rates between the two groups. Results: Eighty-two cases completed the follow-up. ALK fusion gene was found in 9(10.7%) patients. After application of crizotinib, 1 case was evaluated as complete remission, 6 cases as partial response, 2 cases as stable disease; the 1, 3, 5-year survival rate was 100% (9/9), 100% (9/9) and 88.9% (8/9) for the patients with ALK fusion gene, and it was 65.8% (48/73), 15.1% (11/73) and 6.8% (5/73) respectively for patients without ALK fusion gene. There was significant difference in the survival rate between the two groups (χ(2)=1.56, 1.56, 0.83, all P<0.05). Conclusion: ALK fusion gene maybe expressed in LSC patients. Compared with conventional chemotherapy, crizotinib can significantly prolong the survival time of patients with ALK fusion gene.
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Affiliation(s)
- H T Niu
- VIP Department National Cancer Center/Cancer Hospital of Chinese Academy of Medical Science&Peking Union Medical College, Beijing 100021, China
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Xu HM, Pu SL, Jiang YG, Li XY, Dong P. [Establishment and preliminary application of a laryngomalacia larynx three-dimension model]. Lin Chung Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2018; 32:891-894. [PMID: 29921068 DOI: 10.13201/j.issn.1001-1781.2018.12.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 02/22/2018] [Indexed: 11/12/2022]
Abstract
Objective:To establish and preliminarily apply a laryngomalacia larynx three-dimension finite element model. Method:The MIMCS software was employed to deal with the Dicom images of larynx CT scan by means of distinguishing material gray threshold of different tissues. 3D visualization model of larynx was also built by this software. Hyermesh software was used to handle the grid layout of larynx finite element model. Laryngeal structure parameter were added, and laryngeal mechanical analysis were carried out by Abaqus software in order to get von Mises stress. Result:A 3D model,which finely represent the morphological characteristics of laryngomalacia larynx was built using the finite element technology. Peak von Mises stress was observed to be higher in more severe laryngomalacia case. Conclusion:The 3D finite element model of the laryngomalacia larynx provides the foundation for further study.Peak von Mises stress may be a useful indicator of laryngomalacia severity assessment.
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Affiliation(s)
- H M Xu
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai General Hospital of Nanjing Medical University,Shanghai,200080,China
| | - S L Pu
- Department of Otolaryngology Head and Neck Surgery, Shanghai Children's Hospital, Shanghai Jiao Tong University
| | - Y G Jiang
- School of Construction Machinery, Shandong Jiaotong University
| | - X Y Li
- Department of Otolaryngology Head and Neck Surgery, Shanghai Children's Hospital, Shanghai Jiao Tong University
| | - P Dong
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai General Hospital of Nanjing Medical University,Shanghai,200080,China
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Zhao P, Ren A, Dong P, Sheng Y, Li D. Antimicrobial Peptaibols, Trichokonins, Inhibit Mycelial Growth and Sporulation and Induce Cell Apoptosis in the Pathogenic Fungus Botrytis cinerea. APPL BIOCHEM MICRO+ 2018. [DOI: 10.1134/s0003683818040154] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Sun ZX, Shi JF, Lan L, Mao AY, Huang HY, Lei HK, Qiu WQ, Dong P, Zhu J, Wang DB, Liu GX, Bai YN, Sun XJ, Liao XZ, Ren JS, Guo LW, Zhou Q, Yang L, Song BB, Du LB, Zhu L, Gong JY, Liu YQ, Ren Y, Mai L, Qin MF, Zhang YZ, Zhou JY, Sun XH, Wu SL, Qi X, Lou PA, Cai B, Zhang K, He J, Dai M. [Constituent and workload of service providers engaged in cancer screening: findings and suggestions from a multi-center survey in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2018; 39:295-301. [PMID: 29609242 DOI: 10.3760/cma.j.issn.0254-6450.2018.03.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the constituent and workload of service providers engaged in cancer screening in China and provide evidence for the assessment of the sustainability of national cancer screening project. Methods: Using either questionnaire or online approach, the survey was conducted in 16 provinces, where Cancer Screening Program in Urban China (CanSPUC) was conducted, from 2014 to 2015. The medical institutes surveyed included hospitals [71.1% were class Ⅲ(A) hospitals], centers for disease control and prevention (CDCs) and community centers where cancer screening was undertaken during 2013-2015. The questionnaire survey was conducted among the staffs responsible for the overall coordination, management and implementation of the screening project to collect the information about the allocation, workload and compensation of the service providers from different specialties. Results: A total of 4 626 staffs were surveyed in this study, their average age was (37.7±9.5) years, and males accounted for 31.0%. Human resources allocated differed with province. The number of senior staff ranged from 6 (Chongqing) to 43 (Beijing) among the 8 comparable provinces. Among the staffs surveyed, 2 192 were from hospitals, 431 were from CDCs and 1 990 were from community centers, and the staffs who complained heavy workload accounted for 19.9%, 24.6% and 34.1% respectively (P<0.001). Among 227 staffs for overall coordination, 376 management staffs and 3 908 staffs for implementation, those who complained heavy workload accounted for 23.6%, 22.3% and 28.2% respectively (P<0.001). A total of 3 244 staffs (73.8%) got compensations for heavy workload. The compensation types were manly labor fee linked with workload (67.5%) and labor fee regardless workload (26.6%). Conclusion: The province specific differences in human resources allocation indicated the differences in screening project's organizing pattern and capability. It is suggested to conduct routine cancer screening (using specialized staffs), reduce the workload of the first line and community staffs and increase the compensation for the service providers for the sustainability of cancer screening project in China.
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Affiliation(s)
- Z X Sun
- Harbin Center for Disease Control and Prevention, Harbin 150056, China
| | - J F Shi
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Lan
- Harbin Center for Disease Control and Prevention, Harbin 150056, China
| | - A Y Mao
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - H Y Huang
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - H K Lei
- Chongqing Cancer Institute, Chongqing 400030, China
| | - W Q Qiu
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - P Dong
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - J Zhu
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - D B Wang
- Anhui Medical University, Hefei 230032, China
| | - G X Liu
- Harbin Medical University, Harbin 150056, China
| | - Y N Bai
- Institute of Epidemiology and Health Statistics, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- Center for Health Management and Policy Research, Shandong University, Jinan 250012, China
| | - X Z Liao
- Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - J S Ren
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L W Guo
- The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - Q Zhou
- Chongqing Cancer Institute, Chongqing 400030, China
| | - L Yang
- Guangxi Medical University, Nanning 530021, China
| | - B B Song
- Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - L B Du
- Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - L Zhu
- Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - J Y Gong
- Shandong Tumor Hospital, Jinan 250117, China
| | - Y Q Liu
- Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - Y Ren
- Tieling Central Hospital, Tieling 112000, China
| | - L Mai
- The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - M F Qin
- Yunnan Cancer Hospital, Kunming 650018, China
| | - Y Z Zhang
- Shanxi Provincial Cancer Hospital, Taiyuan 030013, China
| | - J Y Zhou
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - X H Sun
- Ningbo No.2 Hospital, Ningbo 315010, China
| | - S L Wu
- Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Tangshan People's Hospital, Tangshan 063001, China
| | - P A Lou
- Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - B Cai
- Nantong Tumor Hospital, Nantong 226000, China
| | - K Zhang
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J He
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Mao AY, Shi JF, Qiu WQ, Dong P, Sun ZX, Huang HY, Sun XJ, Liu GX, Wang DB, Bai YN, Liao XZ, Ren JS, Guo LW, Lan L, Zhou Q, Zhou JY, Yang L, Wang JL, Qin MF, Zhang YZ, Song BB, Xing XJ, Zhu L, Mai L, Du LB, Liu YQ, Lou PA, Cai B, Sun XH, Wu SL, Qi X, Zhang K, He J, Dai M. [Willingness of potential service suppliers to provide cancer screening in urban China]. Zhonghua Liu Xing Bing Xue Za Zhi 2018; 39:150-156. [PMID: 29495197 DOI: 10.3760/cma.j.issn.0254-6450.2018.02.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: Based on the investment for potential suppliers of cancer screening services, we assessed the reasons that affecting their participation motivation related to the long-term sustainability of cancer screening in China. Methods: Hospitals that had never been involved in any national level cancer screening project were selected by using the convenient sampling method within the 16 project cities of Cancer Screening Program in Urban China (CanSPUC) with 1 or 2 hospitals for each city. All the managers from the institutional/department level and professional staff working and providing screening services in these hospitals, were interviewed by paper-based questionnaire. SAS 9.4 was used for logical verification and data analysis. Results: A total of 31 hospitals (18 hospitals at the third level and, 13 hospitals at the second level) and 2 201 staff (508 hospital and clinic unit managers, 1 693 professional staff) completed the interview. All the hospitals guaranteed their potential capacity in service providing. 92.5% hospital managers showed strong willingness in providing cancer screening services, while 68.3% of them declared that the project fund-raising function was the responsibility of the government. For professional staff, their prospect gains from providing screening service would include development on professional skills (72.4%) and material rewards (46.8%). Their main worries would include extra work for CanSPUC might interfere their routine work (42.1%) plus inadequate compensation (41.8%). Medians of the prospect compensation for extra work ran between 20 to 90 Chinese Yuan per screening item respectively. For all the screening items, workers from the third-level hospitals expected their compensation to be twice as much of those working at the second level hospitals. Conclusion: Professional capacity building and feasible material incentive seemed to be the two key factors that influenced the sustainability and development of the programs.
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Affiliation(s)
- A Y Mao
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - J F Shi
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Qiu
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - P Dong
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - Z X Sun
- Harbin Center for Disease Control and Prevention, Harbin 150056, China
| | - H Y Huang
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - X J Sun
- School of Health Care Management, Shandong University, Jinan 250012, China
| | - G X Liu
- Harbin Medical University, Harbin 150081, China
| | - D B Wang
- Anhui Medical University, Hefei 230032, China
| | - Y N Bai
- School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X Z Liao
- Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - J S Ren
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L W Guo
- The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - L Lan
- Harbin Center for Disease Control and Prevention, Harbin 150056, China
| | - Q Zhou
- Chongqing Cancer Institute, Chongqing 400030, China
| | - J Y Zhou
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - L Yang
- Guangxi Medical University, Nanning 530021, China
| | - J L Wang
- Shandong Tumor Hospital, Jinan 250117, China
| | - M F Qin
- Yunnan Cancer Hospital, Kunming 650118, China
| | - Y Z Zhang
- Shanxi Provincial Cancer Hospital, Taiyuan 030013, China
| | - B B Song
- Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - X J Xing
- Liaoning Cancer Hospital and Institute, Shenyang 110042, China
| | - L Zhu
- Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - L Mai
- The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - L B Du
- Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - Y Q Liu
- Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - P A Lou
- Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - B Cai
- Nantong Tumor Hospital, Nantong 226000, China
| | - X H Sun
- Ningbo No.2 Hospital, Ningbo 315010, China
| | - S L Wu
- Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Tangshan People's Hospital, Tangshan 063001, China
| | - K Zhang
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J He
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Cochran R, Kohi M, Moriarty J, Dong P, Nelson K, Picel A. Abstract No. 439 Evaluation of blood loss and transfusion requirements in patients with invasive placenta treated with arterial occlusion balloons or internal iliac artery ligation. J Vasc Interv Radiol 2018. [DOI: 10.1016/j.jvir.2018.01.484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022] Open
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Ihenachor E, Khan S, Nelson K, Picel A, Dong P, Kohi M, Moriarty J. Abstract No. 440 Feasibility and safety of aortic balloon occlusion for management of obstetric hemorrhage with invasive placenta: initial results. J Vasc Interv Radiol 2018. [DOI: 10.1016/j.jvir.2018.01.485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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37
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Lei HK, Dong P, Zhou Q, Qiu WQ, Sun ZX, Huang HY, Ren JS, Liu GX, Bai YN, Wang DB, Sun XJ, Liao XZ, Guo LW, Lan L, Liu YQ, Gong JY, Yang L, Xing XJ, Song BB, Mai L, Zhu L, Du LB, Zhang YZ, Zhou JY, Qin MF, Wu SL, Qi X, Sun XH, Lou PA, Cai B, Zhang K, He J, Dai M, Mao AY, Shi JF. [Potential demand on cancer screening service in urban populations in China: a cross-sectional survey]. Zhonghua Liu Xing Bing Xue Za Zhi 2018; 39:289-294. [PMID: 29609241 DOI: 10.3760/cma.j.issn.0254-6450.2018.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To understand the acceptance and personal demand for cancer screening service among the urban residents who had never been involved in any national level cancer screening programs in China and identify the key factors influencing the sustainability of cancer screening. Methods: A questionnaire survey was conducted among the local people aged 40-69 years selected through convenience sampling in 16 provinces of China to collect the general information about their demands for the screening service and others. Results: A total of 16 394 qualified questionnaires were completed. The average age of the people surveyed was (53.8±8.0) years, and men accounted for 44.6%. Without concerning the cost, 4 831 people (29.5%) had no demands for cancer screening services, the reasons are as follow: they would like to go to see doctors only when they were ill (61.8%); they had already received similar medical examinations (36.8%) and they would like to receive cancer screening directly without pre-health risk assessment (33.0%). Among the people surveyed, 10 795 (65.8%) had demands for cancer screening services, but they had choice on the screening settings, 43.7% wanted to receive the service in a general hospitals, while 36.5% would like to go to cancer-specialized hospitals. As for the level of medical institutes providing cancer screening service, 61.4% of the people surveyed would choose a higher level one, while 36.4% would choose an ordinary one. On screening procedures, 61.5% of the people surveyed would accept the mode of "clinical examination after questionnaire-assessment" . Conclusion: Most people surveyed had demands for cancer screening services and they would like to receive the screening services in higher level medical institutes. It is suggested to spread cancer screening know ledge, and strengthen the capability building of screening in grass root medical institutes to attract more people to receive cancer screening.
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Affiliation(s)
- H K Lei
- Chongqing Cancer Institute, Chongqing 400030, China
| | - P Dong
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - Q Zhou
- Chongqing Cancer Institute, Chongqing 400030, China
| | - W Q Qiu
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - Z X Sun
- Harbin Center for Disease Control and Prevention, Harbin 150056, China
| | - H Y Huang
- National Cancer Center (NCC)/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J S Ren
- National Cancer Center (NCC)/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - G X Liu
- Harbin Medical University, Harbin 150081, China
| | - Y N Bai
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - D B Wang
- Anhui Medical University, Hefei 230032, China
| | - X J Sun
- Center for Health Management and Policy of Shandong University, Jinan 250012, China
| | - X Z Liao
- Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - L W Guo
- The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - L Lan
- Harbin Center for Disease Control and Prevention, Harbin 150056, China
| | - Y Q Liu
- Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - J Y Gong
- Shandong Tumor Hospital, Jinan 250117, China
| | - L Yang
- Guangxi Medical University 530021, China
| | - X J Xing
- Liaoning Cancer Hospital and Institute, Shenyang 110042, China
| | - B B Song
- Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - L Mai
- The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - L Zhu
- Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - L B Du
- Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - Y Z Zhang
- Shanxi Provincial Cancer Hospital, Taiyuan 030013, China
| | - J Y Zhou
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - M F Qin
- Yunnan Cancer Hospital, Kunming 650118, China
| | - S L Wu
- Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Tangshan People's Hospital, Tangshan 063001, China
| | - X H Sun
- Ningbo No.2 Hospital, Ningbo 315010, China
| | - P A Lou
- Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - B Cai
- Nantong Tumor Hospital, Nantong 226000, China
| | - K Zhang
- National Cancer Center (NCC)/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J He
- National Cancer Center (NCC)/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- National Cancer Center (NCC)/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - A Y Mao
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - J F Shi
- National Cancer Center (NCC)/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Zhu J, Huang HY, Mao AY, Sun ZX, Qiu WQ, Lei HK, Dong P, Huang JW, Bai YN, Sun XJ, Liu GX, Wang DB, Liao XZ, Ren JS, Guo LW, Lan L, Zhou Q, Song BB, Liu YQ, Du LB, Zhu L, Cao R, Wang JL, Mai L, Ren Y, Zhou JY, Sun XH, Wu SL, Qi X, Lou PA, Cai B, Li N, Zhang K, He J, Dai M, Shi JF. [Preference on screening frequency and willingness-to-pay for multiple-cancer packaging screening programs in urban populations in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2018; 39:157-164. [PMID: 29495198 DOI: 10.3760/cma.j.issn.0254-6450.2018.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Objective: From an actual cancer screening service demanders' perspective, we tried to understand the preference on screening frequency and willingness-to-pay for the packaging screening program on common cancers and to evaluate its long-term sustainability in urban populations in China. Methods: From 2012 to 2014, a multi-center cross-sectional survey was conducted among the actual screening participants from 13 provinces covered by the Cancer Screening Program in Urban China (CanSPUC). By face-to-face interview, information regarding to preference to screening frequency, willingness-to-pay for packaging screening program, maximum amount on payment and related reasons for unwillingness were investigated. Results: A total of 31 029 participants were included in this survey, with an average age as (55.2±7.5) years and median annual income per family as 25 000 Chinese Yuan. People's preference to screening frequency varied under different assumptions ( " totally free" and "self-paid" ). When the packaging screening was assumed totally free, 93.9% of residents would prefer to take the screening program every 1 to 3 years. However, the corresponding proportion dropped to 67.3% when assuming a self-paid pattern. 76.7% of the participants had the willingness-to-pay for the packaging screening, but only 11.2% of them would like to pay more than 500 Chinese Yuan (the expenditure of the particular packaging screening were about 1 500 Chinese Yuan). The remaining 23.3% of residents showed no willingness-to-pay, and the main reasons were unaffordable expenditure (71.7%) and feeling'no need'(40.4%). Conclusions: People who participated in the CanSPUC program generally tended to choose high-frequency packaging screening program, indicating the high potential acceptance for scale-up packaging screening, while it needs cautious assessments and rational guidance to the public. Although about seven in ten of the residents were willing to pay, the payment amount was limited, revealing the necessity of strengthening individual's awareness of his or her key role in health self-management, and a reasonable payment proportion should be considered when establishing co-compensation mechanism.
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Affiliation(s)
- J Zhu
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - H Y Huang
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - A Y Mao
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - Z X Sun
- Harbin Center for Disease Control and Prevention, Harbin 150056, China
| | - W Q Qiu
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - H K Lei
- Chongqing Cancer Institute, Chongqing 400030, China
| | - P Dong
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - J W Huang
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - Y N Bai
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- Center for Health Management and Policy of Shandong University, Jinan 250012, China
| | - G X Liu
- Harbin Medical University, Harbin 150081, China
| | - D B Wang
- School of Medical Administration, Anhui Medical University, Hefei 230032, China
| | - X Z Liao
- Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - J S Ren
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L W Guo
- Henan Cancer Hospital, Zhengzhou 450008, China
| | - L Lan
- Harbin Center for Disease Control and Prevention, Harbin 150056, China
| | - Q Zhou
- Chongqing Cancer Institute, Chongqing 400030, China
| | - B B Song
- Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - Y Q Liu
- Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - L B Du
- Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - L Zhu
- Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - R Cao
- Guangdong Provincial Institute of Public Health, Guangzhou 511430, China
| | - J L Wang
- Shandong Tumor Hospital, Jinan 250117, China
| | - L Mai
- Henan Cancer Hospital, Zhengzhou 450008, China
| | - Y Ren
- Tieling Central Hospital, Tieling 112000, China
| | - J Y Zhou
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - X H Sun
- Ningbo No.2 Hospital, Ningbo 315010, China
| | - S L Wu
- Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Tangshan People's Hospital, Tangshan 063001, China
| | - P A Lou
- Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - B Cai
- Nantong Tumor Hospital, Nantong 226000, China
| | - N Li
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - K Zhang
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J He
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J F Shi
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Shi JF, Mao AY, Sun ZX, Lei HK, Qiu WQ, Huang HY, Dong P, Huang JW, Zhu J, Li J, Liu GX, Wang DB, Bai YN, Sun XJ, Liao XZ, Ren JS, Guo LW, Lan L, Zhou Q, Yang L, Song BB, Du LB, Zhu L, Wang JL, Liu YQ, Ren Y, Mai L, Qin MF, Zhang YZ, Zhou JY, Sun XH, Wu SL, Qi X, Lou PA, Cai B, Li N, Zhang K, He J, Dai M. [Willingness and preferences of actual service suppliers regarding cancer screening programs: a multi-center survey in urban China]. Zhonghua Liu Xing Bing Xue Za Zhi 2018; 39:142-149. [PMID: 29495196 DOI: 10.3760/cma.j.issn.0254-6450.2018.02.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Objective: From the perspective of actual service suppliers regarding cancer screening, this study aimed to assess the long-term sustainability of cancer screening programs in China. Methods: Based on a Cancer Screening Program in Urban China (CanSPUC), our survey focused on all the hospitals, centers for disease control and prevention (CDC) and community service centers across 16 provinces in China which participated in the programs between 2013 and 2015. All the managers (institutional/department level) and professional staff involved in the program were interviewed using either paper-based questionnaire or online approach. Results: A total of 4 626 participants completed the interview. It showed that the main gains from providing screening service emphasized promotion in social value (63.6%), local reputation (35.9%), and professional skills (30.6%), whereas difficulties encountered included inadequate compensation (30.9%) and discordance among information systems (28.3%). When the service remuneration amounts to about 50 Chinese Yuan per screening item, those professional staff self-reported that they would like to work overtime. More than half (63.7%) of the staff expressed willingness to provide routine screening service, the main expectations were to promote their reputation to the local residents (48.7%) and to promote professional skills (43.1%). Those who were not willing to provide screening services were worried about the potential heavy workload (59.8%) or being interfered with their routine work (49.8%). Further detailed results regarding the different organization types and program roles were presented in the following detailed report. Conclusions: Findings of gains and difficulties showed that if cancer screening is expected to become a long-term running, incentive mechanism from the program, external promotion and advocacy as well as capacity building should be strengthened; furthermore, rewards to staff's screening services should be raised according to the local situations. Results regarding the "willingness to provide service" showed that management of the program should also be strengthened, including information system building and inter-agency and inter-department coordination at the government levels.
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Affiliation(s)
- J F Shi
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - A Y Mao
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - Z X Sun
- Harbin Center for Disease Control and Prevention, Harbin 150056, China
| | - H K Lei
- Chongqing Cancer Institute, Chongqing 400030, China
| | - W Q Qiu
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - H Y Huang
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - P Dong
- Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100020, China
| | - J W Huang
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J Zhu
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J Li
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - G X Liu
- Harbin Medical University, Harbin 150081, China
| | - D B Wang
- School of Medical Administration, Anhui Medical University, Hefei 230032, China
| | - Y N Bai
- Institute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China
| | - X J Sun
- Center for Health Management and Policy of Shandong University, Jinan 250012, China
| | - X Z Liao
- Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - J S Ren
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L W Guo
- Henan Cancer Hospital, Zhengzhou 450008, China
| | - L Lan
- Harbin Center for Disease Control and Prevention, Harbin 150056, China
| | - Q Zhou
- Chongqing Cancer Institute, Chongqing 400030, China
| | - L Yang
- Guangxi Medical University, Nanning 530021, China
| | - B B Song
- Affiliated Cancer Hospital of Harbin Medical University, Harbin 150081, China
| | - L B Du
- Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - L Zhu
- Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830011, China
| | - J L Wang
- Shandong Tumor Hospital, Jinan 250117, China
| | - Y Q Liu
- Gansu Provincial Cancer Hospital, Lanzhou 730050, China
| | - Y Ren
- Tieling Central Hospital, Tieling 112000, China
| | - L Mai
- Henan Cancer Hospital, Zhengzhou 450008, China
| | - M F Qin
- Yunnan Cancer Hospital, Kunming 650118, China
| | - Y Z Zhang
- Shanxi Provincial Cancer Hospital, Taiyuan 030013, China
| | - J Y Zhou
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - X H Sun
- Ningbo No.2 Hospital, Ningbo 315010, China
| | - S L Wu
- Kailuan General Hospital, Tangshan 063000, China
| | - X Qi
- Tangshan People's Hospital, Tangshan 063001, China
| | - P A Lou
- Xuzhou Center for Disease Control and Prevention, Xuzhou 221006, China
| | - B Cai
- Nantong Tumor Hospital, Nantong 226000, China
| | - N Li
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - K Zhang
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J He
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Sun ZF, Wang GL, Liu YY, Ding J, Luo D, Dong P. [Platysma myocutaneous flaps in reconstruction of defects caused by hypopharyngeal cancer resection]. Lin Chung Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2017; 31:1800-1802. [PMID: 29798390 DOI: 10.13201/j.issn.1001-1781.2017.23.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 08/06/2017] [Indexed: 11/12/2022]
Abstract
Objective:To study the method and feasibility in reconstruction of platysma myocutaneous flap of defects caused by hypopharyngeal cancer resection. Method:Twelve cases underwent reconstruction with the platysma myocutaneous flap of hypopharyngeal soft defect were investigated. All cases received 2 times preoperative induction chemotherapy followed by hypopharyngeal cancer resection with laryngeal function preservation and the neck lymph node dissection. Platysma myocutaneous flap was used to repair the hypopharyngeal soft tissue defect. Result:All the flaps survived. Three weeks after surgery, all patients can eat without pharyngeal fistula and dysphagia, but pharyngeal foreign body sensation. Three cases of cough after surgery, improved after training. After postoperative radiotherapy, flap survived without secondary necrosis. Laryngeal function of all cases was retained, and only one case with cannula maintained. Conclusion:Preoperative induction program can effectively reduce the lesion. The placenta myocutaneous flap has rich blood supply, strong anti-infectivity. It is an effective method to repair the hypopharyngeal tissue defect with the placenta myocutaneous flap.
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Affiliation(s)
- Z F Sun
- Department of Otorhinolaryngology Head and Neck Surgery, the First Peoples Hospital Affiliated to Jiaotong University in Shanghai, Shanghai, 200080, China
| | - G L Wang
- Department of Otorhinolaryngology Head and Neck Surgery, the First Peoples Hospital Affiliated to Jiaotong University in Shanghai, Shanghai, 200080, China
| | - Y Y Liu
- Department of Otorhinolaryngology Head and Neck Surgery, the First Peoples Hospital Affiliated to Jiaotong University in Shanghai, Shanghai, 200080, China
| | - J Ding
- Department of Otorhinolaryngology Head and Neck Surgery, the First Peoples Hospital Affiliated to Jiaotong University in Shanghai, Shanghai, 200080, China
| | - D Luo
- Department of Otorhinolaryngology Head and Neck Surgery, the First Peoples Hospital Affiliated to Jiaotong University in Shanghai, Shanghai, 200080, China
| | - P Dong
- Department of Otorhinolaryngology Head and Neck Surgery, the First Peoples Hospital Affiliated to Jiaotong University in Shanghai, Shanghai, 200080, China
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Dong P, Liu H, Xing L. Trajectory Optimization for VMAT Treatment Aided by Artificial Intelligence. Int J Radiat Oncol Biol Phys 2017. [DOI: 10.1016/j.ijrobp.2017.06.171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Zhou QQ, Hu YB, Zhou K, Zhang WW, Li MH, Dong P, Di JG, Hong L, Du QW, Xie Y, Sun QF. [Value of non-invasive models of liver fibrosis in judgment of treatment timing in chronic hepatitis B patients with ALT < 2×upper limit of normal]. Zhonghua Gan Zang Bing Za Zhi 2017; 24:665-670. [PMID: 27788722 DOI: 10.3760/cma.j.issn.1007-3418.2016.09.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the value of non-invasive liver fibrosis models, FIB-4, S index, aspartate aminotransferase to platelet ratio index(APRI), globulin-platelet(GP)model, aspartate aminotransferase/platelet/gamma-glutamyl transpeptidase/alpha-fetoprotein(APGA), and platelet/age/phosphatase/alpha-fetoprotein/aspartate aminotransferase(PAPAS), in the diagnosis of marked liver fibrosis in chronic hepatitis B(CHB)patients with ALT < 2×upper limit of normal(ULN), as well as treatment timing for this population. Methods: A total of 389 CHB patients with ALT < 2×ULN who were admitted to Beijing Ditan Hospital and whose treatment timing was difficult to judge were enrolled. Transdermal liver biopsy was performed to obtain pathological results, and routine serological tests were performed, including routine blood test, serum biochemical parameters, hepatitis B virus(HBV)markers, and HBV DNA. According to liver pathology, the patients were divided into non-marked liver fibrosis group(S < 2)with 324 patients and marked liver fibrosis group(S≥2)with 65 patients. The non-invasive models for predicting liver fibrosis was established with reference to original articles. SPSS 19.0 software was used for statistical analysis, and the receiver operating characteristic(ROC)curve was used to compare the value of different non-invasive models in predicting marked liver fibrosis in this population. Results: All the non-invasive models had a certain diagnostic value for liver fibrosis degree in these patients, and the areas under the ROC curve for APRI, FIB-4, APGA, S index, PAPAS, and GP model were 0.718, 0.691, 0.758, 0.729, 0.673, and 0.691, respectively. APGA had the largest area under the ROC curve(0.758, 95% CI 0.673-0.844), and gamma-glutamyl transpeptidase was significantly positively correlated with liver fibrosis degree. Conclusion: The non-invasive models of liver fibrosis can identify marked liver fibrosis in CHB patients with ALT < 2×ULN in whom it is difficult to judge treatment timing and help to determine treatment timing for them. APGA model has the highest value and can reduce the need for liver biopsy to the certain degree.
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Affiliation(s)
- Q Q Zhou
- Department of Infectious Diseases, Ruian People's Hospital, Wenzhou 325200, China
| | - Y B Hu
- Wenzhou Medical University, Wenzhou 325035, China
| | - K Zhou
- Department of Infectious Diseases, Ruian People's Hospital, Wenzhou 325200, China
| | - W W Zhang
- Department of Infectious Diseases, Ruian People's Hospital, Wenzhou 325200, China
| | - M H Li
- Liver Center of Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - P Dong
- Department of Infectious Diseases, Ruian People's Hospital, Wenzhou 325200, China
| | - J G Di
- Department of Infectious Diseases, Ruian People's Hospital, Wenzhou 325200, China
| | - L Hong
- Department of Infectious Diseases, Ruian People's Hospital, Wenzhou 325200, China
| | - Q W Du
- Department of Infectious Diseases, Ruian People's Hospital, Wenzhou 325200, China
| | - Y Xie
- Liver Center of Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China
| | - Q F Sun
- Department of Infectious Diseases, Ruian People's Hospital, Wenzhou 325200, China
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Zhen X, Chen Y, Hu X, Dong P, Gu S, Sheng YY, Dong H. The difference in medical costs between carbapenem-resistant Acinetobacter baumannii and non-resistant groups: a case study from a hospital in Zhejiang province, China. Eur J Clin Microbiol Infect Dis 2017; 36:1989-1994. [PMID: 28831598 DOI: 10.1007/s10096-017-3088-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Accepted: 08/02/2017] [Indexed: 11/25/2022]
Abstract
This retrospective study aims to compare differences in the medical costs between inpatients infected/colonised with carbapenem-resistant (CRAB) and carbapenem-susceptible (CSAB) Acinetobacter baumannii in a hospital in Zhejiang province, China. Because the patient population was large, we randomly selected 60% of all inpatients with clinical specimens between 2013 and 2015. We classified the A. baumannii cases as CRAB or CSAB based on antibiotic susceptibility testing. Univariate and multivariate analyses were used to identify factors associated with the total medical cost (TMC). Those included in the study totalled 2980 inpatients, 71.3% of whom had CRAB infection/colonisation. Differences in the TMC between the CRAB and CSAB groups were lower by multivariate analyses than the differences obtained by univariate analyses. Carbapenem resistance was significantly associated with an approximately 1.5-fold increase in the TMC after accounting for confounding factors. Our study highlights the heavy financial burden imposed by A. baumannii and carbapenem resistance on the Chinese healthcare system.
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Affiliation(s)
- X Zhen
- Center for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Y Chen
- Pfizer Investment Co. Ltd., Beijing, China
| | - X Hu
- Center for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - P Dong
- Pfizer Investment Co. Ltd., Beijing, China
| | - S Gu
- Center for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Y Y Sheng
- Princeton University, Princeton, NJ, USA
| | - H Dong
- Center for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China. .,China Hospital Development Institute, Shanghai Jiaotong University, Shanghai, China.
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Pei J, Dong P, Wu T, Zhao L, Cao F, Tang F. Characterization flavanone 3β-hydroxylase expressed from Populus euphratica in Escherichia coli and its application in dihydroflavonol production. APPL BIOCHEM MICRO+ 2017. [DOI: 10.1134/s0003683817030127] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Abstract
PURPOSE To develop a fast optimization method for station parameter optimized radiation therapy (SPORT) and show that SPORT is capable of matching VMAT in both plan quality and delivery efficiency by using three clinical cases of different disease sites. METHODS The angular space from 0° to 360° was divided into 180 station points (SPs). A candidate aperture was assigned to each of the SPs based on the calculation results using a column generation algorithm. The weights of the apertures were then obtained by optimizing the objective function using a state-of-the-art GPU based proximal operator graph solver. To avoid being trapped in a local minimum in beamlet-based aperture selection using the gradient descent algorithm, a stochastic gradient descent was employed here. Apertures with zero or low weight were thrown out. To find out whether there was room to further improve the plan by adding more apertures or SPs, the authors repeated the above procedure with consideration of the existing dose distribution from the last iteration. At the end of the second iteration, the weights of all the apertures were reoptimized, including those of the first iteration. The above procedure was repeated until the plan could not be improved any further. The optimization technique was assessed by using three clinical cases (prostate, head and neck, and brain) with the results compared to that obtained using conventional VMAT in terms of dosimetric properties, treatment time, and total MU. RESULTS Marked dosimetric quality improvement was demonstrated in the SPORT plans for all three studied cases. For the prostate case, the volume of the 50% prescription dose was decreased by 22% for the rectum and 6% for the bladder. For the head and neck case, SPORT improved the mean dose for the left and right parotids by 15% each. The maximum dose was lowered from 72.7 to 71.7 Gy for the mandible, and from 30.7 to 27.3 Gy for the spinal cord. The mean dose for the pharynx and larynx was reduced by 8% and 6%, respectively. For the brain case, the doses to the eyes, chiasm, and inner ears were all improved. SPORT shortened the treatment time by ∼1 min for the prostate case, ∼0.5 min for brain case, and ∼0.2 min for the head and neck case. CONCLUSIONS The dosimetric quality and delivery efficiency presented here indicate that SPORT is an intriguing alternative treatment modality. With the widespread adoption of digital linac, SPORT should lead to improved patient care in the future.
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Affiliation(s)
- P Dong
- Department of Radiation Oncology, Stanford University, Stanford, California 94305
| | - B Ungun
- Department of Radiation Oncology, Stanford University, Stanford, California 94305
| | - S Boyd
- Department of Electrical Engineering, Stanford University, Stanford, California 94305
| | - L Xing
- Department of Radiation Oncology, Stanford University, Stanford, California 94305 and Department of Electrical Engineering, Stanford University, Stanford, California 94305
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Liu M, Zhang X, Chen H, Wang G, Zhang J, Dong P, Liu Y, An S, Wang L. Serum sPD-L1, Upregulated in Sepsis, May Reflect Disease Severity and Clinical Outcomes in Septic Patients. Scand J Immunol 2017; 85:66-72. [PMID: 27864994 DOI: 10.1111/sji.12509] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2016] [Accepted: 11/11/2016] [Indexed: 12/15/2022]
Abstract
We aimed to find the correlation between serum sPD-L1 (soluble programmed cell death L-1 ligand) and sepsis. Totally 91 consecutive patients with sepsis were performed in a 15-bed medical intensive care unit (ICU) of the second affiliated hospital, Xi'an Jiaotong University in Xi'an, China, between February 2015 and May 2016. Healthy controls (HC) consisted of 29 healthy volunteer. Baseline demographic data were recorded. Blood samples were collected through an indwelling central venous or by peripheral venipuncture. Serum sPD-L1 and sPD-1 levels were determined with enzyme-linked immunosorbent assay kits (Elabscience Biotechnology Co. Ltd, Wuhan, China). SPSS19.0 software (SPSS Inc., Chicago, Illinois, USA) was used for statistical analysis. Kaplan-Meier survival analysis and Cox regression analysis were also performed. Serum sPD-L1 levels and sPD-1 levels were significantly increased in septic patients compared with HC (P = 0.000). Serum sPD-L1 levels were significantly increased in non-survivors compared with survivors (P < 0.05), but there was no statistically difference on serum sPD-1 levels between non-survivors and survivors (P > 0.05). Serum sPD-L1 levels were correlated with absolute lymphocyte (ALC), platelets and SOFA scores. Serum sPD-L1/sPD-1 levels were negatively correlated with ALC and platelets, and SOFA scores. The prognostic accuracy of the sPD-L1 level to predict 28-day mortality was similar to that of the APACHE-II scores and SOFA scores. Cox regression analysis showed that sPD-L1 was an independent prognostic factor. Serum sPD-L1 is upregulated in sepsis and may reflect disease severity and clinical outcomes in patients. Serum sPD-L1 may be an independent prognostic factor for sepsis.
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Affiliation(s)
- M Liu
- Department of Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - X Zhang
- Department of Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - H Chen
- Core Research Laboratory, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - G Wang
- Department of Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - J Zhang
- Department of Gastroenterology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - P Dong
- Department of Endocrine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Y Liu
- Department of Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - S An
- Department of Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - L Wang
- Department of Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
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Yang Z, Li X, Li J, Long JD, Lan CH, Wang T, Dong P, He JL. Note: Self-biased voltage to suppress secondary electrons by a ZnO varistor in a compact pulsed neutron generator. Rev Sci Instrum 2017; 88:036106. [PMID: 28372413 DOI: 10.1063/1.4978797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
A large amount of back streaming electrons will bring about a part of current drain on power supply, cause sparking or high-voltage breakdowns, and affect the neutron yield and waveform for a compact sealed-tube pulsed neutron generator. A novel idea which uses a ZnO varistor to provide a constant self-biased voltage to suppress the secondary electrons is introduced. The I-V curve for the ZnO varistor was measured in the experiment. The effects of suppressing the secondary electrons were investigated using a ZnO varistor, linear resistors, and an independent power supply, respectively. The results show that the secondary electrons are suppressed effectively by the compact ZnO varistor, while not increasing the size and the component of the device. It is a promising design for compact sealed-tube neutron generators.
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Affiliation(s)
- Z Yang
- Institute of Fluid Physics, CAEP, P.O. Box 919-106, Mianyang 621900, China
| | - X Li
- Institute of Fluid Physics, CAEP, P.O. Box 919-106, Mianyang 621900, China
| | - J Li
- Institute of Fluid Physics, CAEP, P.O. Box 919-106, Mianyang 621900, China
| | - J D Long
- Institute of Fluid Physics, CAEP, P.O. Box 919-106, Mianyang 621900, China
| | - C H Lan
- Institute of Fluid Physics, CAEP, P.O. Box 919-106, Mianyang 621900, China
| | - T Wang
- Institute of Fluid Physics, CAEP, P.O. Box 919-106, Mianyang 621900, China
| | - P Dong
- Institute of Fluid Physics, CAEP, P.O. Box 919-106, Mianyang 621900, China
| | - J L He
- Institute of Fluid Physics, CAEP, P.O. Box 919-106, Mianyang 621900, China
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Wang P, Dong P, Yang X. ANRIL rs2383207 polymorphism and coronary artery disease (CAD) risk: a meta-analysis with observational studies. Cell Mol Biol (Noisy-le-grand) 2016; 62:6-10. [PMID: 27894414 DOI: 10.14715/cmb/2016.62.12.2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Received: 11/26/2016] [Accepted: 11/26/2016] [Indexed: 11/18/2022]
Abstract
Some studies investigated the association of antisense non-coding RNA in the INK4 locus (ANRIL) rs2383207 polymorphism with coronary artery disease (CAD) risk. However, the result was still inconsistent. The aim of this study was to investigate whether there is an association between the ANRIL rs2383207 polymorphism and CAD risk. We carried out a PubMed (Medline), EMBASE database search covering all published articles. The strength of association between ANRIL rs2383207 polymorphism and CAD risk was assessed by calculating OR with 95% CI. A total of 13 case-control studies involving 6796 cases and 9956 controls were included in this meta-analysis. ANRIL rs2383207polymorphism was associated with a significantly an increased risk of CAD (OR=1.47; 95%CI, 1.33-1.62). We also found that this polymorphism increased CAD risk in Caucasians (OR=1.51; 95%CI, 1.28-1.77) and Asians (OR=1.42; 95%CI, 1.26-1.61). In the subgroup analysis according to gender, both women and men were significantly associated with the increased risk of CAD (OR=1.36; 95%CI, 1.03-1.79 and OR=1.58; 95%CI, 1.20-2.09). In the subgroup analysis by age, ANRIL rs2383207 polymorphism showed significant results in old CAD patients and young CAD patients (OR=1.32; 95%CI, 1.20-1.44 and OR=1.53; 95%CI, 1.32-1.77). Furthermore, this polymorphism also influenced myocardial infarction risk (OR=1.75; 95%CI, 1.24-2.47). Even the studies with adjustment for age, gender, smoking were included, the significant association was also observed (OR=1.43; 95%CI, 1.26-1.62). In conclusion, this meta-analysis suggested that ANRIL rs2383207 polymorphism is associated with CAD risk.
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Affiliation(s)
- P Wang
- Department of Cardiology, The First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
| | - P Dong
- Department of Cardiology, The First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China
| | - X Yang
- Department of Cardiology, The First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China
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Liu Y, Zhang Y, Guo H, Wu W, Dong P, Liang X. Accelerated digestion of nucleic acids by pepsin from the stomach of chicken. Br Poult Sci 2016; 57:674-681. [PMID: 27535578 DOI: 10.1080/00071668.2016.1200012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Nucleic acids have become an important nutritional supplement in poultry feed; however, the digestion of nucleic acids in poultry is unclear. The objective of this study was to investigate the digestion of nucleic acids by chicken pepsin in vitro. The extracted pepsinogen from the stomach of the chicken was purified to homogeneity. Upon activation at pH 2.0, chicken pepsinogen was converted to its active form. Nucleic acids, including λ-DNA, salmon sperm DNA and single-strand DNA (ssDNA), can be used as substrates and digested into short-chain oligonucleotides by pepsin. Interestingly, the digestion of the nucleic acids was inhibited when pepsin was treated by alkaline solution (pH 8.0) or pepstatin A. Also, the digestion of the nucleic acids was not affected by the addition of haemoglobin or bovine serum albumin. The results suggested that nucleic acids could be digested by chicken pepsin. Thus pepsin may have a role in digesting nucleic acids in vivo. Nucleic acids added to poultry fed may be digested, starting from the stomach.
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Affiliation(s)
- Y Liu
- a College of Food Science and Engineering , Ocean University of China , Qingdao , China.,b Innovation and Application Institute , Zhejiang Ocean University , Zhoushan , China
| | - Y Zhang
- a College of Food Science and Engineering , Ocean University of China , Qingdao , China
| | - H Guo
- a College of Food Science and Engineering , Ocean University of China , Qingdao , China
| | - W Wu
- a College of Food Science and Engineering , Ocean University of China , Qingdao , China
| | - P Dong
- a College of Food Science and Engineering , Ocean University of China , Qingdao , China
| | - X Liang
- a College of Food Science and Engineering , Ocean University of China , Qingdao , China
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Liu H, Dong P, Xing L. An Inverse Planning Framework With Principle-Based Modeling of Interstructural Dosimetric Tradeoff. Int J Radiat Oncol Biol Phys 2016. [DOI: 10.1016/j.ijrobp.2016.06.2318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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