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Liu M, Yan Z, Qi Z, Zhou R, Guo C, Liu A, Yang H, Li F, Duan L, Shen L, Wu Q, Liu Z, Pan Y, Liu Y, Liu F, Cai H, He Z, Ke Y. Persistence of Lugol-unstaining is Associated With an Increased Risk of Progression to Malignancy in the Esophagus. Clin Gastroenterol Hepatol 2024:S1542-3565(24)00765-1. [PMID: 39181421 DOI: 10.1016/j.cgh.2024.07.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 07/11/2024] [Accepted: 07/15/2024] [Indexed: 08/27/2024]
Abstract
BACKGROUND & AIMS The aim of this study was to investigate the persistence of Lugol-unstained lesions (LULs) in the esophagus detected by chromoendoscopy and explore their association with progression to malignancy. METHODS We enrolled 647 participants from a population-based screening trial who had biopsied LULs at the baseline chromoendoscopy and underwent a chromoendoscopy reexamination after a median of 4.39 years. Cases of persistent LUL were defined as those in whom a visible LUL was observed during reexamination at the documented location (±2 cm) where a LUL was detected at baseline chromoendoscopy. Logistic regression was applied to explore risk factors for the persistence of LULs. The primary outcome was clinical-stage esophageal squamous cell carcinoma identified over 6.78 years of follow-up, and the secondary outcome was re-examination-detected severe dysplasia and above lesions. The cumulative incidence was calculated to assess the progression risk associated with the persistence of LULs. RESULTS The proportion of participants with persistent LULs was 81.92%. Dysplasia (adjusted odds ratio [OR], 6.16; 95% confidence interval [CI], 2.70-17.80), large LULs (adjusted OR, 1.90; 95% CI, 1.18-3.15), and irregularly shaped LULs (adjusted OR, 1.63; 95% CI, 1.03-2.56) at baseline were associated with an increased risk of LUL persistence. Eleven clinical-stage esophageal squamous cell carcinoma cases and 31 severe dysplasia and above lesions detected during reexamination were identified, all of which originated from patients with persistent LULs (Pclinical-stage ESCC = .136; Preexamination-detected SDA = .015). CONCLUSION The persistence of LULs is associated with progression to malignancy in the esophagus, even in individuals without dysplastic lesions. Based on this, a more efficient post-screening surveillance strategy could be established.
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Affiliation(s)
- Mengfei Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zeyu Yan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zifan Qi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ren Zhou
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Chuanhai Guo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Anxiang Liu
- Endoscopy Center, Anyang Cancer Hospital, Anyang, Henan Province, China
| | - Haijun Yang
- Department of Pathology, Anyang Cancer Hospital, Anyang, Henan Province, China
| | - Fenglei Li
- Hua County People's Hospital, Hua County, Henan Province, China
| | - Liping Duan
- Department of Gastroenterology, Peking University Third Hospital, Beijing, China
| | - Lin Shen
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Gastrointestinal Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Qi Wu
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Endoscopy Center, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhen Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yaqi Pan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ying Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Fangfang Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Hong Cai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhonghu He
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China.
| | - Yang Ke
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China.
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2
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Chen J, Qiao L, Qi M, Zhang Y, Yan Y, Kang W, Zhou H, Yu Y, Ke Y, Jiang Y, Rao Y, Xu L, He G, Ren J, Yan X, Deng S, Yang X, Song Y, Yang Y, Wen Q, Han J, Wu Y, Liu G, Wang M, Zhang X, Xi Y, Wang S. Higher disease burden and lower utilization in Mongolian with breast cancer: a 9-year retrospective cohort study of 18.19 million adults in China. Int J Surg 2024; 110:4588-4597. [PMID: 38608032 PMCID: PMC11325962 DOI: 10.1097/js9.0000000000001478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 03/31/2024] [Indexed: 04/14/2024]
Abstract
BACKGROUND Whether health inequalities of disease burden and medical utilization exist by ethnicity in Asian breast cancer (BC) patients remains unclear. The authors aim to measure ethnic disparities in disease burden and utilization among Mongolian and Han female BC patients in China. MATERIALS AND METHODS Based on data extracted from Inner Mongolia Regional Health Information Platform, a retrospective cohort study was established during 2012-2021. Disease burden including incidence, 5-year prevalence, mortality, survival rate, and medical cost were analyzed and compared between Han and Mongolian patients. RESULTS A total of 34 878 female patients [mean (SD) age, 52.34 (10.93) years] were included among 18.19 million Chinese, and 4315 (12.03%) participants were Mongolian. Age-standardized rates of incidence are 32.68 (95% CI: 20.39-44.98) per 100 000. Higher age-specific incidence and 5-year prevalence were observed in Mongolian than in Han. The cost of BC annually per capita was significantly lower for Mongolian than Han [$1948.43 (590.11-4 776.42) vs. $2227.35 (686.65-5929.59), P <0.001]. Mongolian females showed higher all-cause mortality [30.92 (95% CI: 28.15-33.89) vs. 27.78 (95% CI: 26.77-28.83) per 1000, P =0.036] and BC-specific mortality [18.78 (95% CI: 16.64-21.13) vs. 15.22 (95% CI: 14.47-16.00) per 1000, P =0.002] than Han females. After adjusting covariates, Mongolian were associated with increased all-cause mortality [HR, 1.21, (95% CI: 1.09-1.34); P <0.001] and BC-specific mortality [HR, 1.31, (95% CI: 1.14-1.49); P <0.001]. CONCLUSION The findings of this cohort study highlight a higher level of disease burden with unmet medical demand in Mongolian patients, suggesting that more practical efforts should be made for the minority. Further research is needed to explore the concrete mechanisms of the disparities as well as eliminate health disproportion.
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Affiliation(s)
| | - Liying Qiao
- Inner Mongolia Autonomous Region Center for Disease Control and Prevention (Inner Mongolia Autonomous Region Academy of Preventive Medicine)
| | - Meng Qi
- Breast Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute
| | - Yunjing Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University
| | - Ying Yan
- Department of Breast Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute
| | - Weiwei Kang
- Inner Mongolia Autonomous Region Center for Disease Control and Prevention (Inner Mongolia Autonomous Region Academy of Preventive Medicine)
| | - Huziwei Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University
| | - Yuelin Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University
| | - Yalei Ke
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University
| | - Yuling Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University
| | - Yingting Rao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University
| | - Lu Xu
- Research Center of Clinical Epidemiology, Peking University Third Hospital
| | - Guohua He
- The First Affiliated Hospital, Sun Yat-sen University, Guangzhou
| | - Jing Ren
- Inner Mongolia Autonomous Region Center for Disease Control and Prevention (Inner Mongolia Autonomous Region Academy of Preventive Medicine)
| | - Xue Yan
- Inner Mongolia Autonomous Region Center for Disease Control and Prevention (Inner Mongolia Autonomous Region Academy of Preventive Medicine)
| | - Siwei Deng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University
| | - Xinyu Yang
- School of Public Health, Peking University
| | | | - Yingzi Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University
| | - Qiaorui Wen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University
| | - Jing Han
- Inner Mongolia Autonomous Region Center for Disease Control and Prevention (Inner Mongolia Autonomous Region Academy of Preventive Medicine)
| | - Yiwei Wu
- Inner Mongolia Autonomous Region Center for Disease Control and Prevention (Inner Mongolia Autonomous Region Academy of Preventive Medicine)
| | - Guozhen Liu
- Peking University Health Information Technology, Beijing
| | - Mingyuan Wang
- Peking University Health Information Technology, Beijing
| | | | - Yunfeng Xi
- Inner Mongolia Autonomous Region Center for Disease Control and Prevention (Inner Mongolia Autonomous Region Academy of Preventive Medicine)
| | - Shengfeng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University
- Key Laboratory of Epidemiology of Major Diseases (Ministry of Education/Beijing), Peking University, People's Republic of China
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Chen L, Wang H, Qi Z, Liang L, Guo C, He Y, Liu M, Liu Z, Pan Y, Liu F, Liu Y, Hu Z, Chen H, He Z, Ke Y. Dynamics of Long-Term Quality of Life After Treatment for Esophageal Cancer: A Community-Based Patient Study. JCO Glob Oncol 2024; 10:e2400044. [PMID: 38995686 DOI: 10.1200/go.24.00044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 04/26/2024] [Accepted: 05/10/2024] [Indexed: 07/14/2024] Open
Abstract
PURPOSE To characterize the pattern of post-treatment quality of life (QoL) for esophageal cancer (EC) survivors and construct models predicting their long-term QoL. METHODS On the basis of a randomized trial in an EC high-risk region in China, we interviewed 363 EC survivors and 25,245 permanent residents matched with the survivors on age, sex, and township as the baseline. QoL was measured using three-level version of European Quality of Life 5-Dimensions instrument. We constructed piecewise mixed models estimating the QoL of EC survivors that varied by age, sex, patient type, hospital level, and therapy to ascertain QoL determinants. RESULTS The post-treatment QoL of EC survivors dropped by 15.7% within the first year and recovered by 9.3% between 1 and 9 years compared with the baseline. Therapy was found to be a determinant of QoL, and a series of therapy-specific models were fitted accordingly, which all showed the pattern of decreasing rapidly and recovering gradually. Endoscopic treatment had the least impact on post-treatment QoL (7.5% drop within 5 years) compared with esophagectomy (12.2% drop within 1 year) and chemoradiotherapy (37.8% drop within 2 years). The usual activities dimension showed the greatest impairment among those patients (34.4% drop within 1 year). CONCLUSION This community-based study described the long-term QoL trajectory for EC survivors after different therapeutic modalities and constructed models to predict therapy-specific QoL at different time points after treatment. It provided new insights into decision making in treatment for EC from the perspective of QoL protection, offering a convenient tool for estimating quality-adjusted life-years.
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Affiliation(s)
- Lei Chen
- Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education/Beijing, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Hui Wang
- Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education/Beijing, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
- Cancer Diagnosis and Treatment Quality Control Office, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zifan Qi
- Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education/Beijing, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Linlin Liang
- Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education/Beijing, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
- Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Chuanhai Guo
- Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education/Beijing, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yu He
- Chinese Preventive Medicine Association, Beijing, China
| | - Mengfei Liu
- Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education/Beijing, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhen Liu
- Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education/Beijing, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yaqi Pan
- Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education/Beijing, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Fangfang Liu
- Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education/Beijing, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ying Liu
- Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education/Beijing, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhe Hu
- Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education/Beijing, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Huanyu Chen
- Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education/Beijing, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhonghu He
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yang Ke
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
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4
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Liu M, Yang W, Guo C, Liu Z, Li F, Liu A, Yang H, Shen L, Wu Q, Duan L, Wang H, Tian H, Shi C, Pan Y, Liu Y, Liu F, Weiss NS, Cai H, He Z, Ke Y. Effectiveness of Endoscopic Screening on Esophageal Cancer Incidence and Mortality: A 9-Year Report of the Endoscopic Screening for Esophageal Cancer in China (ESECC) Randomized Trial. J Clin Oncol 2024; 42:1655-1664. [PMID: 38457759 DOI: 10.1200/jco.23.01284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 01/12/2024] [Accepted: 01/19/2024] [Indexed: 03/10/2024] Open
Abstract
PURPOSE To evaluate the effectiveness of endoscopic screening against incidence of and mortality from esophageal squamous cell carcinoma (ESCC). METHODS From January 2012 to September 2016, we conducted a community-based cluster randomized controlled trial involving permanent residents age 45-69 years in a high-risk region for ESCC in northern China. A total of 668 targeted villages were randomly assigned in a 1:1 ratio to the screening group (offered Lugol's chromoendoscopy) or control group (no screening). Intention-to-treat and per-protocol analyses were performed to compare esophageal cancer (EC) incidence and mortality between the two groups. The per-protocol analysis adjusted for nonadherence to the screening procedure. RESULTS A total of 33,847 participants were included in the analysis: 17,104 in the screening group, 15,165 (88.7%) of whom underwent screening, and 16,743 in the control group. During a maximum follow-up of 9 years, EC incidence in the screening and control groups were 60.9 and 72.5 per 100,000 person-years, respectively; mortality in the screening and control groups were 29.7 and 32.4 per 100,000 person-years, respectively. Compared with the control group, the incidence and mortality of the screening group reduced by 19% (adjusted hazard ratio [aHR], 0.81 [95% CI, 0.60 to 1.09]) and 18% (aHR, 0.82 [95% CI, 0.53 to 1.26]), respectively, in the intention-to-treat analysis; and by 22% (aHR, 0.78 [95% CI, 0.56 to 1.10]) and 21% (aHR, 0.79 [95% CI, 0.49 to 1.30]), respectively, in the per-protocol analysis. CONCLUSION With a 9-year follow-up, our trial suggests that chromoendoscopic screening induces modest reductions in EC incidence and mortality. A more efficient strategy for EC screening and subsequent patient management should be established to guarantee the effectiveness of endoscopic screening.
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Affiliation(s)
- Mengfei Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Wenlei Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Chuanhai Guo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhen Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Fenglei Li
- Hua County People's Hospital, Hua County, China
| | - Anxiang Liu
- Endoscopy Center, Anyang Cancer Hospital, Anyang, China
| | - Haijun Yang
- Department of Pathology, Anyang Cancer Hospital, Anyang, China
| | - Lin Shen
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Gastrointestinal Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Qi Wu
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Endoscopy Center, Peking University Cancer Hospital & Institute, Beijing, China
| | - Liping Duan
- Department of Gastroenterology, Peking University Third Hospital, Beijing, China
| | - Hui Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
- Cancer Diagnosis and Treatment Quality Control Office, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hongrui Tian
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Chao Shi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
- People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
| | - Yaqi Pan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ying Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Fangfang Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Noel S Weiss
- Department of Epidemiology, University of Washington, Seattle, WA
| | - Hong Cai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhonghu He
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yang Ke
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
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5
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Zheng H, Liu Z, Chen Y, Ji P, Fang Z, He Y, Guo C, Xiao P, Wang C, Yin W, Li F, Chen X, Liu M, Pan Y, Liu F, Liu Y, He Z, Ke Y. Development and external validation of a quantitative diagnostic model for malignant gastric lesions in clinical opportunistic screening: A multicenter real-world study. Chin Med J (Engl) 2024; 137:00029330-990000000-00966. [PMID: 38403900 PMCID: PMC11441920 DOI: 10.1097/cm9.0000000000002903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Indexed: 02/27/2024] Open
Abstract
BACKGROUND Clinical opportunistic screening is a cost-effective cancer screening modality. This study aimed to establish an easy-to-use diagnostic model serving as a risk stratification tool for identification of individuals with malignant gastric lesions for opportunistic screening. METHODS We developed a questionnaire-based diagnostic model using a joint dataset including two clinical cohorts from northern and southern China. The cohorts consisted of 17,360 outpatients who had undergone upper gastrointestinal endoscopic examination in endoscopic clinics. The final model was derived based on unconditional logistic regression, and predictors were selected according to the Akaike information criterion. External validation was carried out with 32,614 participants from a community-based randomized controlled trial. RESULTS This questionnaire-based diagnostic model for malignant gastric lesions had eight predictors, including advanced age, male gender, family history of gastric cancer, low body mass index, unexplained weight loss, consumption of leftover food, consumption of preserved food, and epigastric pain. This model showed high discriminative power in the development set with an area under the receiver operating characteristic curve (AUC) of 0.791 (95% confidence interval [CI]: 0.750-0.831). External validation of the model in the general population generated an AUC of 0.696 (95% CI: 0.570-0.822). This model showed an ideal ability for enriching prevalent malignant gastric lesions when applied to various scenarios. CONCLUSION This easy-to-use questionnaire-based model for diagnosis of prevalent malignant gastric lesions may serve as an effective prescreening tool in clinical opportunistic screening for gastric cancer.
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Affiliation(s)
- Hongchen Zheng
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Zhen Liu
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Yun Chen
- Department of Ultrasound, Peking University Shenzhen Hospital, Shenzhen, Guangdong 516473, China
- Shenzhen Key Laboratory for Drug Addiction and Medication Safety, Shenzhen Peking University-Hong Kong University of Science and Technology Medical Center, Shenzhen, Guangdong 516473, China
| | - Ping Ji
- Clinical Research Institute, Shenzhen Peking University-Hong Kong University of Science and Technology Medical Center, Shenzhen, Guangdong 516473, China
| | - Zhengyu Fang
- Clinical Research Institute, Shenzhen Peking University-Hong Kong University of Science and Technology Medical Center, Shenzhen, Guangdong 516473, China
| | - Yujie He
- Endoscopy Center, Hua County People's Hospital, Anyang, Henan 456483, China
| | - Chuanhai Guo
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Ping Xiao
- Clinical Research Institute, Shenzhen Peking University-Hong Kong University of Science and Technology Medical Center, Shenzhen, Guangdong 516473, China
| | - Chengwen Wang
- Endoscope Group, Department of Gastroenterology, Peking University Shenzhen Hospital, Shenzhen, Guangdong 516473, China
| | - Weihua Yin
- Department of Pathology, Peking University Shenzhen Hospital, Shenzhen, Guangdong 516473, China
| | - Fenglei Li
- Hua County People's Hospital, Anyang, Henan 456483, China
| | - Xiujian Chen
- Department of Pathology, Hua County People's Hospital, Anyang, Henan 456483, China
| | - Mengfei Liu
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Yaqi Pan
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Fangfang Liu
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Ying Liu
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Zhonghu He
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Yang Ke
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
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6
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Liu M, Qi Z, Zhou R, Guo C, Liu A, Yang H, Li F, Duan L, Shen L, Wu Q, Liu Z, Pan Y, Liu F, Liu Y, Cai H, He Z, Ke Y. How should extra-large Lugol-unstained lesions of the esophagus be treated? Results from a population-based cohort study. Cancer Med 2023; 12:20129-20139. [PMID: 37732496 PMCID: PMC10587922 DOI: 10.1002/cam4.6592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 09/11/2023] [Accepted: 09/12/2023] [Indexed: 09/22/2023] Open
Abstract
BACKGROUND Current guidelines recommend only severe dysplasia and above (SDA) lesions of the esophageal squamous epithelium for clinical intervention. However, the histopathologic diagnosis derived from tissue biopsies may be subject to underestimation of severity. METHODS 1073 participants from whom biopsies were taken at baseline chromoendoscopic examination in a population-based screening trial were enrolled in this study. The size of the Lugol-unstained lesions (LULs) was mainly analyzed. The outcome was defined as SDA lesions either identified at baseline screening, or during follow-up, collectively referred to as the cumulative risk of SDA. Multivariable logistic regression models were used to evaluate the cumulative risk of SDA. RESULTS One hundred and forty-six SDA cases were identified in the study period. Participants with large LULs had a high cumulative incidence of SDA (cumulative incidence16-20mm : 55.88%; cumulative incidence>20mm : 76.92%) in the median of 7-year duration. LULs of large size were significantly associated with a higher cumulative risk of SDA, regardless of the pathologic diagnosis (adjusted OR16-20mmvs.≤5mm = 21.02, 95% CI: 7.56-58.47; adjusted OR>20mmvs.≤5mm = 33.62, 95% CI: 11.79-95.87). CONCLUSIONS Results from this study suggest physician-patient shared decision-making regarding clinical treatment or intensive surveillance should be carried out for LULs >20 mm in the esophagus, regardless of the histologic diagnosis. For those with LULs of 16-20 mm, intensive surveillance would also best be considered.
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Affiliation(s)
- Mengfei Liu
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of GeneticsPeking University Cancer Hospital & InstituteBeijingChina
| | - Zifan Qi
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of GeneticsPeking University Cancer Hospital & InstituteBeijingChina
| | - Ren Zhou
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of GeneticsPeking University Cancer Hospital & InstituteBeijingChina
| | - Chuanhai Guo
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of GeneticsPeking University Cancer Hospital & InstituteBeijingChina
| | - Anxiang Liu
- Endoscopy CenterAnyang Cancer HospitalHenan ProvinceAnyangChina
| | - Haijun Yang
- Department of PathologyAnyang Cancer HospitalHenan ProvinceAnyangChina
| | - Fenglei Li
- Hua County People's HospitalHenan ProvinceChina
| | - Liping Duan
- Department of GastroenterologyPeking University Third HospitalBeijingChina
| | - Lin Shen
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Gastrointestinal OncologyPeking University Cancer Hospital & InstituteBeijingChina
| | - Qi Wu
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Endoscopy CenterPeking University Cancer Hospital & InstituteBeijingChina
| | - Zhen Liu
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of GeneticsPeking University Cancer Hospital & InstituteBeijingChina
| | - Yaqi Pan
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of GeneticsPeking University Cancer Hospital & InstituteBeijingChina
| | - Fangfang Liu
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of GeneticsPeking University Cancer Hospital & InstituteBeijingChina
| | - Ying Liu
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of GeneticsPeking University Cancer Hospital & InstituteBeijingChina
| | - Hong Cai
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of GeneticsPeking University Cancer Hospital & InstituteBeijingChina
| | - Zhonghu He
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of GeneticsPeking University Cancer Hospital & InstituteBeijingChina
| | - Yang Ke
- State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of GeneticsPeking University Cancer Hospital & InstituteBeijingChina
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Shi C, Shi H, Chen C, Liu Y, Lv Y, Zhang H, Liang P. Trends of hospitalisation for patients with liver cirrhosis in Ningxia, China: a cross-sectional study. BMJ Open 2023; 13:e068655. [PMID: 37607786 PMCID: PMC10445391 DOI: 10.1136/bmjopen-2022-068655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 06/08/2023] [Indexed: 08/24/2023] Open
Abstract
OBJECTIVE To evaluate the changing trends of hospitalisation for patients with liver cirrhosis between 2015 and 2019 by using hospitalisation summary records in Ningxia Hui Autonomous Region (NHAR), China. DESIGN A cross-sectional study. SETTING Hospitalisation summary records between 1 January 2015 and 31 December 2019 from 28 top-ranking hospitals in NHAR were extracted and rigorously analysed. PARTICIPANTS During the study period, hospitalisation records referring to liver cirrhosis were included. Records with missing data were excluded. A total of 16 566 patients with liver cirrhosis were included in this study. OUTCOME MEASURES International Classification of Diseases codes, tenth version (ICD-10) and text-diagnoses were used to identify hospitalisation records referring to liver cirrhosis. RESULTS Between 2015 and 2019, hospitalisation rates for liver cirrhosis declined from 8.38% to 5.57%. Chronic viral hepatitis accounted for almost 70% of all liver cirrhosis admissions; the remaining 30% of patients were admitted due to non-viral hepatitis cirrhosis (28.06%) and alcoholic cirrhosis (2.05%). The male-to-female hospitalisation rate ratio for liver cirrhosis was 2.57. The hospitalisation rate for workers with hepatitis cirrhosis was significantly higher than farmers (hospitalisation rate ratio (RR)=1.06, 95% CI 1.01 to 1.15, p<0.001); this was also the case for alcoholic cirrhosis (RR=5.23, 95% CI 3.34 to 8.20). However, the hospitalisation rate for workers with non-viral hepatitis cirrhosis was significantly lower than for farmers (RR=5.23, 95% CI 3.34 to 8.20, p<0.001). The hospitalisation rate increased in patients over the age of 30 years and reached a peak at the age of 45-50 years. CONCLUSIONS The hospitalisation rate for liver cirrhosis has declined over recent years and chronic viral hepatitis remains the major cause of liver cirrhosis in NHAR. Hospitalisation summary records can efficiently reflect the local changing trends of hospitalisation for liver cirrhosis and represent an efficient strategy for the surveillance of chronic disease.
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Affiliation(s)
- Chao Shi
- Central Laboratory, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
- Central Laboratory, Ningxia Medical University Affiliated People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
| | - Hongjuan Shi
- School of Public Health, Ningxia Medical University, Yinchuan, China
| | - Chen Chen
- Central Laboratory, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
- Central Laboratory, Ningxia Medical University Affiliated People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
| | - Yining Liu
- Central Laboratory, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
- Central Laboratory, Ningxia Medical University Affiliated People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
| | - Yongtao Lv
- Central Laboratory, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
- Central Laboratory, Ningxia Medical University Affiliated People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
| | - Hua Zhang
- Central Laboratory, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
- Central Laboratory, Ningxia Medical University Affiliated People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
| | - Peifeng Liang
- Central Laboratory, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
- Central Laboratory, Ningxia Medical University Affiliated People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
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8
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Qi Z, Liu M, Zhou R, Guo C, Liu A, Yang H, Li F, Duan L, Shen L, Wu Q, Wu N, Liu Z, Pan Y, Liu F, Liu Y, Cai H, He Z, Ke Y. Multiple Lugol-unstained lesions predict higher cumulative risk of malignance in the esophagus. J Gastroenterol Hepatol 2023; 38:416-423. [PMID: 36418206 DOI: 10.1111/jgh.16075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 11/02/2022] [Accepted: 11/21/2022] [Indexed: 11/25/2022]
Abstract
BACKGROUND AND AIM The impact of the presence of multiple Lugol-unstained lesions (LULs) in the esophagus on the risk of having severe dysplasia and above (SDA) lesions among asymptomatic individuals is unknown. METHODS We collected demographic factors, behavioral variables, and features of LULs from 1073 participants who were biopsied at baseline endoscopic screening in a population-based screening trial, and these individuals were followed over a median time of 7 years. Outcome events were defined as SDA identified at screening, at reexamination, or during follow-up. "Multiple LULs" were defined as ≥ 2 LULs found in the entirety of the esophagus. Multivariable logistic regression models were fitted to assess the effect of "multiple LULs" on the cumulative risk of SDA. RESULTS There were 147 SDA cases in the current study. After adjustment for potential risk factors and endoscopic features of LULs, the presence of "multiple LULs" slightly increased the cumulative risk of having SDA with no statistical significance (adjusted odds ratio [OR] = 1.26; 95% confidence interval [CI] [0.85, 1.88]). Further stratified analysis showed that this association was strong among subjects with small LULs (≤ 5 mm) (adjusted OR = 3.29; 95% CI [1.39, 7.79]). However, no such association was observed in subjects with larger LULs (adjusted OR = 0.99; 95% CI [0.63, 1.55], P interaction = 0.022). CONCLUSIONS The presence of "multiple small LULs (≤ 5 mm)" in chromoendoscopy indicates a higher cumulative risk of having SDA in the esophagus. We recommend biopsies be taken and surveillance be maintained at a more active level in individuals with relatively small but multiple LULs.
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Affiliation(s)
- Zifan Qi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, Beijing, China
| | - Mengfei Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, Beijing, China
| | - Ren Zhou
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, Beijing, China
| | - Chuanhai Guo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, Beijing, China
| | - Anxiang Liu
- Endoscopy Center, Anyang Cancer Hospital, Anyang, China, Henan Province, China
| | - Haijun Yang
- Department of Pathology, Anyang Cancer Hospital, Anyang, Henan Province, China
| | - Fenglei Li
- Hua County People's Hospital, China, Henan Province, China
| | - Liping Duan
- Department of Gastroenterology, Peking University Third Hospital, Beijing, China
| | - Lin Shen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Qi Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Endoscopy Center, Peking University Cancer Hospital and Institute, Beijing, China
| | - Nan Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing, China
| | - Zhen Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, Beijing, China
| | - Yaqi Pan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, Beijing, China
| | - Fangfang Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, Beijing, China
| | - Ying Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, Beijing, China
| | - Hong Cai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, Beijing, China
| | - Zhonghu He
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, Beijing, China
| | - Yang Ke
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, Beijing, China
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Ogawa T, Takahashi H, Saito H, Sagawa M, Aoki D, Matsuda K, Nakayama T, Kasahara Y, Kato K, Saitoh E, Morisada T, Saika K, Sawada N, Matsumura Y, Sobue T. Novel Algorithm for the Estimation of Cancer Incidence Using Claims Data in Japan: A Feasibility Study. JCO Glob Oncol 2023; 9:e2200222. [PMID: 36749909 PMCID: PMC10166397 DOI: 10.1200/go.22.00222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023] Open
Abstract
PURPOSE We developed algorithms to identify patients with newly diagnosed cancer from a Japanese claims database to identify the patients with newly diagnosed cancer of the sample population, which were compared with the nationwide cancer incidence in Japan to assess the validity of the novel algorithms. METHODS We developed two algorithms to identify patients with stomach, lung, colorectal, breast, and cervical cancers: diagnosis only (algorithm 1), and combining diagnosis, treatments, and medicines (algorithm 2). Patients with newly diagnosed cancer were identified from an anonymized commercial claims database (JMDC Claims Database) in 2017 with two inclusions/exclusion criteria: selecting all patients with cancer (extract 1) and excluding patients who had received cancer treatments in 2015 or 2016 (extract 2). We estimated the cancer incidence of the five cancer sites and compared it with the Japan National Cancer Registry incidence (calculated standardized incidence ratio with 95% CIs). RESULTS The number of patients with newly diagnosed cancer ranged from 219 to 17,840 by the sites, algorithms, and exclusion criteria. Standardized incidence ratios were significantly higher in the JMDC Claims Database than in the national registry data for extract 1 and algorithm 1, extract 1 and algorithm 2, and extract 2 and algorithm 1. In extract 2 and algorithm 2, colorectal cancer in male and stomach, lung, and cervical cancers in females showed similar cancer incidence in the JMDC and national registry data. CONCLUSION The novel algorithms are effective for extracting information about patients with cancer from claims data by using the combined information on diagnosis, procedures, and medicines (algorithm 2), with 2-year cancer-treatment history as an exclusion criterion (extract 2).
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Affiliation(s)
- Toshio Ogawa
- Division of Public Health, Faculty of Agriculture, Setsunan University, Osaka, Japan
| | | | | | - Motoyasu Sagawa
- Division of Endoscopy, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Miyagi, Japan
| | - Daisuke Aoki
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan
| | - Kazuo Matsuda
- Fukui Health Promotion Center, Fukui Health Care Society, Fukui, Japan
| | - Tomio Nakayama
- National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Yoshio Kasahara
- Department of Breast Surgery, Fukui Prefecture-Saiseikai Hospital, Fukui, Japan
| | - Katsuaki Kato
- Cancer Detection Center, Miyagi Cancer Society, Miyagi, Japan
| | - Eiko Saitoh
- Department of Preventive Medicine Center, International University of Health and Welfare, Tokyo, Japan
| | - Tohru Morisada
- Department of Obstetrics and Gynecology, Faculty of Medicine, Kyorin University, Tokyo, Japan
| | - Kumiko Saika
- National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Norie Sawada
- National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Yasushi Matsumura
- National Hospital Organization Osaka National Hospital, Osaka, Japan
| | - Tomotaka Sobue
- Graduate School of Medicine, Osaka University School of Medicine, Osaka, Japan
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10
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Li F, Liu M, Guo C, Xu R, Li F, Liu Z, Pan Y, Liu F, Liu Y, Cai H, He Z, Ke Y. Cost-effectiveness of precision screening for esophageal cancer based on individualized risk stratification in China: Real-world evidence from the ESECC trial. Front Oncol 2022; 12:1002693. [PMID: 36531057 PMCID: PMC9748682 DOI: 10.3389/fonc.2022.1002693] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 11/14/2022] [Indexed: 03/12/2024] Open
Abstract
BACKGROUND Conventional universal endoscopic screening with pathology-based endoscopic re-examination for esophageal squamous cell carcinoma is in need of reform in China. We established a "two-step" precision screening strategy using two risk prediction models and have evaluated the cost-effectiveness of this precision strategy compared with the traditional strategy based on a large population-level randomized controlled trial from a healthcare provider's perspective. METHODS Four precision screening strategies with different risk cutoffs at baseline screening and endoscopic surveillance were constructed, and then compared with traditional strategy through modeling using subjects from the screening cohort of the ESECC (Endoscopic Screening for Esophageal Cancer in China) trial. Total screening costs and the number of SDA (severe dysplasia and above in lesions of the esophagus) cases were obtained to calculate the average screening cost per SDA detected, the incremental cost-effectiveness ratio (ICER) and protection rates. Sensitivity analysis was conducted to evaluate uncertainties. RESULTS Compared to traditional strategy, all precision screening strategies have much lower average costs for detection of one SDA case ($7,148~$11,537 vs. $14,944). In addition, precision strategies 1&2 (strategies 1,2,3,4 described below) achieved higher effectiveness (143~150 vs. 136) and higher protection rates (87.7%~92.0% vs. 83.4%) at lower cost ($1,649,727~$1,672,221 vs. $2,032,386), generating negative ICERs (-$54,666/SDA~-$25,726/SDA) when compared to the traditional strategy. The optimal strategies within different willingness-to-pay (WTP) ranges were all precision screening strategies, and higher model sensitivities were adopted as WTP increased. CONCLUSIONS Precision screening strategy for esophageal cancer based on risk stratification is more cost-effective than use of traditional screening strategy and has practical implications for esophageal cancer screening programs in China.
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Affiliation(s)
- Fuxiao Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - Mengfei Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Chuanhai Guo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ruiping Xu
- Anyang Cancer Hospital, Anyang, Henan, China
| | - Fenglei Li
- Hua County People’s Hospital, Anyang, Henan, China
| | - Zhen Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yaqi Pan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Fangfang Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ying Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Hong Cai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhonghu He
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yang Ke
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
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11
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Liu Z, Zheng H, Liu M, He Y, Chen Y, Ji P, Fang Z, Xiao P, Li F, Guo C, Yin W, Pan Y, He Z, Ke Y. Development and External Validation of an Improved Version of the Diagnostic Model for Opportunistic Screening of Malignant Esophageal Lesions. Cancers (Basel) 2022; 14:5945. [PMID: 36497427 PMCID: PMC9737355 DOI: 10.3390/cancers14235945] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 11/29/2022] [Accepted: 11/30/2022] [Indexed: 12/03/2022] Open
Abstract
We aimed to develop an improved version of the diagnostic model predicting the risk of malignant esophageal lesions in opportunistic screening and validate it in external populations. The development set involved 10,595 outpatients receiving endoscopy from a hospital in Hua County, a high-risk region for esophageal squamous cell carcinoma in northern China. Validation set A enrolled 9453 outpatients receiving endoscopy in a non-high-risk region in southern China. Validation set B involved 17,511 residents in Hua County. The improved diagnostic model consisted of seven predictors including age, gender, family history of esophageal squamous cell carcinoma, smoking, body mass index, dysphagia, and retrosternal pain, with an area under the receiver operating characteristic curve (AUC) of 0.860 (95% confidence interval: 0.835-0.886) in the development set. Ideal discrimination ability was achieved in external validations (AUC validation set A: 0.892, 95% confidence interval: 0.858-0.926; AUC validation set B: 0.799, 95% confidence interval: 0.705-0.894). This improved model also markedly increased the detection rate of malignant esophageal lesions compared with universal screening, demonstrating great potential for use in opportunistic screening of malignant esophageal lesions in heterogeneous populations.
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Affiliation(s)
- Zhen Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Hongchen Zheng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Mengfei Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Yujie He
- Endoscopy Center, Hua County People’s Hospital, Hua County 456483, China
| | - Yun Chen
- Department of Ultrasound, Peking University Shenzhen Hospital, Shenzhen 518034, China
- Shenzhen Key Laboratory for Drug Addiction and Medication Safety, Shenzhen Peking University-Hong Kong University of Science and Technology Medical Center, Shenzhen 518034, China
| | - Ping Ji
- Clinical Research Institute, Shenzhen Peking University-Hong Kong University of Science and Technology Medical Center, Shenzhen 518034, China
| | - Zhengyu Fang
- Clinical Research Institute, Shenzhen Peking University-Hong Kong University of Science and Technology Medical Center, Shenzhen 518034, China
| | - Ping Xiao
- Clinical Research Institute, Shenzhen Peking University-Hong Kong University of Science and Technology Medical Center, Shenzhen 518034, China
| | - Fenglei Li
- Hua County People’s Hospital, Hua County 456483, China
| | - Chuanhai Guo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Weihua Yin
- Department of Pathology, Peking University Shenzhen Hospital, Shenzhen 518034, China
| | - Yaqi Pan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Zhonghu He
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Yang Ke
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
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12
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Zhou HZW, Qiao LY, Zhang YJ, Kang WW, Yan X, Jiang YL, Ke YL, Rao YT, Liu GZ, Wang MY, Wang H, Xi YF, Wang SF. Association of Ethnicity, Sex, and Age With Cancer Diagnoses and Health Care Utilization Among Children in Inner Mongolia, China. JAMA Netw Open 2022; 5:e2231182. [PMID: 36094504 PMCID: PMC9468889 DOI: 10.1001/jamanetworkopen.2022.31182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE China is experiencing a sustained increase in childhood cancer. However, whether differences exist in disease burden by ethnicity remains unclear. OBJECTIVE To compare differences in cancer diagnoses and health care utilization in Inner Mongolia among children subgrouped by ethnicity (Han vs Mongolian), sex, and age. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study in Inner Mongolia, China, used data on children aged 0 to 14 years with cancer from the Inner Mongolia Regional Health Information Platform, which comprises the National Basic Medical Insurance database and the Inner Mongolia cause-of-death reporting system, from January 1, 2013, to December 31, 2019. Ethnicities analyzed included Han and Mongolian; patients of other ethnicities were not included in the analysis because of the small sample size. Cancer was broadly defined as a primary malignant tumor or hematologic cancer; benign central nervous system tumors were also included. A 2-year washout period was used to exclude prevalent cases. After diagnosis, the patients were followed up until the date of death or the end of the insured status, whichever came first. EXPOSURES Ethnicity (Han vs Mongolian), sex (male vs female), and age (0-4, 5-9, and 10-14 years). MAIN OUTCOMES AND MEASURES Crude incidence, 5-year prevalence, and survival rates at 1 year and 3 years after diagnosis; health care utilization, represented by medical costs during the first year and first 3 years after diagnosis; and hospital attendance with level (tertiary vs secondary and lower-level hospitals) and location of each unique visit. RESULTS From 2013 to 2019, 1 106 684 (2013), 1 330 242 (2014), 1 763 746 (2015), 2 400 343 (2016), 2 245 963 (2017), 2 901 088 (2018), and 2 996 580 (2019) children aged 0 to 14 years were registered in the NBMI database. Among the 2 996 580 children enrolled in 2019, the mean (SD) age was 6.8 (4.3) years, of whom 1 572 096 (52.5%) were male, 2 572 091 (85.8%) were Han, and 369 400 (12.3%) were Mongolian. A total of 1910 patients with cancer were identified (1048 were male [54.9%]; 1559 were Han [81.6%], and 300 were Mongolian [15.7%]). There were 764 hematologic cancers (40.0%) and 1146 solid tumors (60.0%). The overall crude incidence of cancer from 2015 to 2019 was 129.85 per million children (95% CI, 123.63-136.06), with a higher incidence among Mongolian than among Han children (155.12 [95% CI, 136.81-173.43] vs 134.39 [95% CI, 127.46-141.32]). The 5-year prevalence was 428.97 per million (95% CI, 405.52-452.42) in 2020, with a higher prevalence among Mongolian than among Han children (568.49 [95% CI, 91.62-645.36] vs 404.34 [95% CI, 379.77-428.91]). The combined 1-year (2015-2019) and 3-year (2015-2017) survival rates were 72.5% (95% CI, 67.5%-77.5%) and 66.8% (95% CI, 61.6%-71.9%), respectively. The 1-year (median [IQR], $1991 [$912-$10 181] vs $3991 [$1171-$15 425]) and 3-year (median [IQR], $2704 [$954-$13 909] vs $5375 [$1283-$22 466]) postdiagnosis costs were lower among Mongolian than among Han children. A higher proportion of Mongolian patients attended low-level hospitals (45.9% vs 17.4%). CONCLUSIONS AND RELEVANCE In this cohort study, Mongolian children had a higher incidence and prevalence of cancer but a lower demand for medical care, suggesting that further investigations are needed to identify mechanisms underlying ethnic disparities and ensure that care is equitable.
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Affiliation(s)
- Hu-Zi-Wei Zhou
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Li-Ying Qiao
- Department of Chronic Noncommunicable Diseases Prevention and Control, The Inner Mongolia Autonomous Region Comprehensive Center for Disease Control and Prevention, Inner Mongolia, China
| | - Yun-Jing Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Wei-Wei Kang
- Department of Chronic Noncommunicable Diseases Prevention and Control, The Inner Mongolia Autonomous Region Comprehensive Center for Disease Control and Prevention, Inner Mongolia, China
| | - Xue Yan
- School of Public Health, Baotou Medical College, Baotou, China
| | - Yu-Ling Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Ya-Lei Ke
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Ying-Ting Rao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Guo-Zhen Liu
- Bigdata Division, Innovation Center, Peking University Health Information Technology, Beijing, China
| | - Ming-Yuan Wang
- Bigdata Division, Innovation Center, Peking University Health Information Technology, Beijing, China
| | - Hui Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing China
| | - Yun-Feng Xi
- Department of Chronic Noncommunicable Diseases Prevention and Control, The Inner Mongolia Autonomous Region Comprehensive Center for Disease Control and Prevention, Inner Mongolia, China
| | - Sheng-Feng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
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Liu M, Zhou R, Liu Z, Guo C, Xu R, Zhou F, Liu A, Yang H, Li F, Duan L, Shen L, Wu Q, Zheng H, Tian H, Liu F, Liu Y, Pan Y, Chen H, Hu Z, Cai H, He Z, Ke Y. Update and validation of a diagnostic model to identify prevalent malignant lesions in esophagus in general population. EClinicalMedicine 2022; 47:101394. [PMID: 35480078 PMCID: PMC9035729 DOI: 10.1016/j.eclinm.2022.101394] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 03/01/2022] [Accepted: 03/28/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Previous risk prediction models taking esophageal malignant lesions detected during endoscopy as the primary outcome are not always sufficient to identify prevalent cases which are "overlooked" at screening. We aimed to update and externally validate our previous risk prediction model for malignant esophageal lesions by redefining the predicted outcome. METHODS 15,192 individuals from the Endoscopic Screening for Esophageal Cancer in China randomized controlled trial (ESECC trial, NCT01688908) were included as the training set, and 4576 participants from another population-based esophageal squamous cell carcinoma (ESCC) screening cohort (Anyang Esophageal Cancer Cohort Study, AECCS) served as the external validation set. Lesions with severe dysplasia or worse diagnosed at chromoendoscopy or identified via follow-up within 1 year after screening were defined as main outcome. Logistic regressions were applied to reconstruct the questionnaire-based prediction model using information collected before screening, with Akaike Information Criterion to determine the model structure. FINDINGS The final prediction model included age and its quadratic term, family history of ESCC, low body mass index (≤22 kg/m2), use of coal or wood as main fuel for cooking, eating rapidly, and ingestion of leftover food. The area under the curve was 0·77 (95% CI: 0·73-0·80) and 0·71 (95% CI: 0·65-0·78) in the training and validation set. When screening the top 50% or 10% of high-risk individuals within population, the detection rates can be increased in both cohorts, as compared to universal screening. INTERPRETATION The described tool may promote the efficiency of current national screening programs for ESCC and contribute to a precision screening strategy in high-risk regions in China. FUNDING This work was supported by the National Natural Science Foundation of China (82073626, 81773501), the National Science & Technology Fundamental Resources Investigation Program of China (2019FY101102), the National Key R&D Program of China (2021YFC2500405), the Beijing-Tianjin-Hebei Basic Research Cooperation Project (J200016), the Digestive Medical Coordinated Development Center of Beijing Hospitals Authority (XXZ0204) and the Beijing Nova Program (Z201100006820093). Sponsors had no role in the study design, data collection, analysis, and interpretation of data.
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Affiliation(s)
- Mengfei Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
| | - Ren Zhou
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
| | - Zhen Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
| | - Chuanhai Guo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
| | - Ruiping Xu
- Anyang Cancer Hospital, Anyang, Henan Province, China
| | - Fuyou Zhou
- Anyang Cancer Hospital, Anyang, Henan Province, China
| | - Anxiang Liu
- Endoscopy Center, Anyang Cancer Hospital, Anyang, Henan Province, China
| | - Haijun Yang
- Department of Pathology, Anyang Cancer Hospital, Anyang, Henan Province, China
| | - Fenglei Li
- Hua County People's Hospital, Henan Province, China
| | - Liping Duan
- Department of Gastroenterology, Peking University Third Hospital, Beijing, China
| | - Lin Shen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Qi Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Endoscopy Center, Peking University Cancer Hospital and Institute, Beijing, China
| | - Hongchen Zheng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
| | - Hongrui Tian
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
| | - Fangfang Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
| | - Ying Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
| | - Yaqi Pan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
| | - Huanyu Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
| | - Zhe Hu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
| | - Hong Cai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
| | - Zhonghu He
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
- Corresponding authors.
| | - Yang Ke
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
- Corresponding authors.
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14
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Li F, Hu Y, Guo C, Lei L, Li F, Liu M, Liu Z, Pan Y, Liu F, Liu Y, Hu Z, Chen H, He Z, Ke Y. Economic Burden Conferred by Population-Level Cancer Screening on Resource-Limited Communities: Lessons From the ESECC Trial. Front Oncol 2022; 12:849368. [PMID: 35387122 PMCID: PMC8977508 DOI: 10.3389/fonc.2022.849368] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 02/24/2022] [Indexed: 12/24/2022] Open
Abstract
Objectives Upper gastrointestinal (G.I.) cancer screening has been conducted in China for decades. However, the economic burden for treatment “intensively” occurred in advance due to screening in resource-limited communities remain unclear. Methods We compared the treatment costs for upper G.I. cancers from the screening and control arms of a population-based randomized trial in a high-risk area for esophageal cancer (EC) in China based on claims data from the health insurance system in the local area which included whole population coverage. Results The average out-of-pocket cost per treatment of EC in the screening arm was lower than that in the control arm ($5,972 vs. $7,557). This difference was a consequence of down-staging from screening which resulted in lower cost therapy for earlier stage cancers. Moreover, this result is similar for cardial and non-cardial gastric cancer in the two study arms ($7,933 vs. $10,605). However, three times as many (103 vs. 36) families in the screening arm suffered catastrophic health expenditure for all cancer types. The overall treatment cost for all EC patients in the screening arm ($1,045,119) was 2.44 times that in the control arm ($428,292), and the ratio for cardial and non-cardial gastric cancer was 1.12 ($393,261 vs. $351,557). Conclusion Cancer treatment secondary to screening may triple the likelihood of catastrophic patient medical expenditure, and sharply increase the economic pressure on the local community, particularly for cancer types which are of high prevalence. Financial support for patients and the health insurance system should be taken into consideration when planning budgets for cancer screening programs in communities which are resource-limited.
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Affiliation(s)
- Fuxiao Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China.,Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Yanjun Hu
- Healthcare Security Administration of Hua County, Anyang, China
| | - Chuanhai Guo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Liang Lei
- Healthcare Security Administration of Hua County, Anyang, China
| | - Fenglei Li
- Hua County People's Hospital, Anyang, China
| | - Mengfei Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhen Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yaqi Pan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Fangfang Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ying Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhe Hu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Huanyu Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhonghu He
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yang Ke
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
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15
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Zhou R, Zheng H, Liu M, Liu Z, Guo C, Tian H, Liu F, Liu Y, Pan Y, Chen H, Hu Z, Cai H, He Z, Ke Y. Development and validation of a questionnaire-based risk scoring system to identify individuals at high risk for gastric cancer in Chinese populations. Chin J Cancer Res 2021; 33:649-658. [PMID: 35125809 PMCID: PMC8742173 DOI: 10.21147/j.issn.1000-9604.2021.06.02] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 11/23/2021] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE This study aimed to develop and validate a risk scoring system to identify high-risk individuals carrying malignant lesions in stomach for tailored gastric cancer screening. METHODS A gastric cancer risk scoring system (GC-RSS) was developed based on questionnaire-based predictors for gastric cancer derived from systematic literature review. To assess the capability of this system for discrimination, risk scores for 8,214 and 7,235 outpatient subjects accepting endoscopic examination in two endoscopy centers, and 32,630 participants in a community-based cohort in China were calculated to plot receiver operating characteristic curves and generate area under the curve (AUC). To evaluate the performance of GC-RSS, the screening proportion, sensitivity and detection rate ratio compared to universal screening were used under different risk score cutoff values. RESULTS GC-RSS comprised nine predictors including advanced age, male gender, low body mass index (<18.5 kg/m2), family history of gastric cancer, cigarette smoking, consumption of alcohol, preference for salty food, irregularity of meals and consumption of preserved food. This tool performed well in determining the risk of malignant gastric lesions with AUCs of 0.763, 0.706 and 0.696 in three validation sets. When subjects with risk scores ≥5 were evaluated with endoscopy, nearly 50% of these endoscopies could be saved with a detection rate of over 1.5 times achieved. When the cutoff was set at 8, only about 10% of subjects with the highest risk would be offered endoscopy, and detection rates for gastric cancer could be increased 2-4 fold compared to universal screening. CONCLUSIONS An effective questionnaire-based GC-RSS was developed and validated. This tool may play an important role in establishing a tailored screening strategy for gastric cancer in China.
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Affiliation(s)
- Ren Zhou
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Hongchen Zheng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Mengfei Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Zhen Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Chuanhai Guo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Hongrui Tian
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Fangfang Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Ying Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Yaqi Pan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Huanyu Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Zhe Hu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Hong Cai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Zhonghu He
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Yang Ke
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
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16
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Wang M, Liu F, Pan Y, Xu R, Li F, Liu A, Yang H, Duan L, Shen L, Wu Q, Liu Y, Liu M, Liu Z, Hu Z, Chen H, Cai H, He Z, Ke Y. Tumor-associated autoantibodies in ESCC screening: Detecting prevalent early-stage malignancy or predicting future cancer risk? EBioMedicine 2021; 73:103674. [PMID: 34753106 PMCID: PMC8586741 DOI: 10.1016/j.ebiom.2021.103674] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 10/19/2021] [Accepted: 10/19/2021] [Indexed: 01/30/2023] Open
Abstract
BACKGROUND To assess potential roles for tumor-associated autoantibodies (TAAs) in esophageal squamous cell carcinoma (ESCC) screening: detecting early-stage malignancy, and predicting future cancer risk. METHOD Thirteen candidate autoantibodies identified in previous literatures were measured using multiplex serological assays in sera from cases and matched controls nested in two population-level screening cohorts in China. To evaluate the role of TAAs in detecting prevalent esophageal malignant lesions, an identification set (150 cases vs. 560 controls) and an external validation set (34 cases vs. 121 controls) were established with pre-screening sera collected ≤ 12 months prior to screening-related diagnosis. To explore the role of TAAs in predicting future ESCC risk, an exploration set (105 cases vs. 416 controls) with pre-diagnostic sera collected > 12 months before clinical diagnosis was established. Two models, the questionnaire-based model and full model additionally incorporating TAA markers, were constructed. Area under the receiver operating characteristic curve (AUC) and net reclassification improvement (NRI) were calculated to compare the performance of the two models. FINDINGS In the identification set, NY-ESO-1 (OR=2·12, 95% CI=1·02-4·40) and STIP1 (OR=1·83, 95% CI=1·10-3·05) were positively associated with higher risk of esophageal malignancy. Elevated MMP-7 was associated with higher risk of malignancy in females (ORfemale=5·07, 95% CI=1·30-19·71). The estimates in validation set were consistent with these results, but were close to null in exploration set. Integration of selected TAAs improved the performance of questionnaire-based models in detecting prevalent esophageal malignancy (female: AUCfull model=0·745, 95% CI=0·675-0·814, AUCquestionnaire-based model=0·658, 95% CI=0·585-0·732, NRI=0·604, P<0·0001; male: AUCfull model=0·662, 95% CI=0·596-0·728, AUCquestionnaire-based model=0·619, 95% CI=0·548-0·690, NRI=0·357, P=0·0028). This improvement was also seen in validation set, but was not similarly effective in distinguishing long-term incident cases from healthy controls. INTERPRETATION Serological autoantibodies against NY-ESO-1, STIP1, and MMP-7 perform well in detecting early-stage esophageal malignancy, but are less effective in predicting future ESCC risks. FUNDING This work was supported by the National Science & Technology Fundamental Resources Investigation Program of China (2019FY101102), the National Natural Science Foundation of China (82073626), the National Key R&D Program of China (2016YFC0901404), the Beijing-Tianjin-Hebei Basic Research Cooperation Project (J200016), the Digestive Medical Coordinated Development Center of Beijing Hospitals Authority (XXZ0204), and the Natural Science Foundation of Beijing Municipality (7182033).
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Affiliation(s)
- Minmin Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, P.R. China
| | - Fangfang Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, P.R. China
| | - Yaqi Pan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, P.R. China
| | - Ruiping Xu
- Anyang Cancer Hospital, Anyang, Henan Province, P.R. China
| | - Fenglei Li
- Hua County People's Hospital, Anyang, Henan Province, P.R. China
| | - Anxiang Liu
- Endoscopy center, Anyang Cancer Hospital, Anyang, Henan Province, P.R. China
| | - Haijun Yang
- Department of pathology, Anyang Cancer Hospital, Anyang, Henan Province, P.R. China
| | - Liping Duan
- Department of Gastroenterology, Peking University Third Hospital, Beijing, P.R. China
| | - Lin Shen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Oncology, Peking University Cancer Hospital & Institute, Beijing, P.R. China
| | - Qi Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Endoscopy Center, Peking University Cancer Hospital & Institute, Beijing, P.R. China
| | - Ying Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, P.R. China
| | - Mengfei Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, P.R. China
| | - Zhen Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, P.R. China
| | - Zhe Hu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, P.R. China
| | - Huanyu Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, P.R. China
| | - Hong Cai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, P.R. China
| | - Zhonghu He
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, P.R. China.
| | - Yang Ke
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, P.R. China.
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Wang H, Liu Z, Guo C, Liu M, He Y, Tian H, Pan Y, Liu F, Liu Y, Hu Z, Chen H, He Z, Ke Y. Health-seeking behavior and barriers to treatment of patients with upper gastrointestinal cancer detected by screening in rural China: real-world evidence from the ESECC trial. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2021; 12:100181. [PMID: 34527972 PMCID: PMC8356128 DOI: 10.1016/j.lanwpc.2021.100181] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 04/13/2021] [Accepted: 05/19/2021] [Indexed: 11/21/2022]
Abstract
BACKGROUND To fully realize efficacy in cancer screening, timely and appropriate treatment for participants with malignant lesions is critical. However, the health-seeking behavior of patients with upper gastrointestinal (G.I.) cancer identified in population-level screening programs in China is unknown. METHODS A community-based real-world investigation was conducted with 136 upper G.I. cancer patients detected in a large screening cohort in an area of high-risk for upper G.I. cancer in China. Using local medical claims data and semi-structured face-to-face interview, we collected information regarding the clinical treatment regimen and factors which result in the lack of timely and appropriate treatment. FINDINGS The treatment records for 133 upper G.I. cancer patients were acquired. Among these, 48 (36•09%) patients did not receive treatment within three months of initial diagnosis, and treatment of early-stage cancer was more likely to be delayed. Sixteen patients did not seek further diagnostic testing due to their low health-awareness and socio-economic status. Another 20 participants proactively sought further diagnostic evaluation in health care facilities but were prevented from receiving further treatment due to low sensitivity of given diagnostic test(s), failure to recognize the significance of screening results, and/or lack of basic knowledge of diagnosis and treatment for early cancer on the part of clinicians. The treatment regimen offered to patients depended largely on the level of health care facilities they visited, and non-medical factors were the main reasons for choice of health care facilities. INTERPRETATION A coordinated, system-based management strategy is urgently needed to support the design of upper G.I. cancer screening programs in rural populations in China. FUNDING The Charity Project of the National Ministry of Health (201202014), the National Key R & D Program of China (2016YFC0901404), the National Science & Technology Fundamental Resources Investigation Program of China (2019FY101102), and the National Natural Science Foundation of China (82073626).
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Affiliation(s)
- Hui Wang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
| | - Zhen Liu
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
| | - Chuanhai Guo
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
| | - Mengfei Liu
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
| | - Yu He
- Department of Non-communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Hongrui Tian
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
| | - Yaqi Pan
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
| | - Fangfang Liu
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
| | - Ying Liu
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
| | - Zhe Hu
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
| | - Huanyu Chen
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
| | - Zhonghu He
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
| | - Yang Ke
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China
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Size of Lugol-unstained lesions as a predictor for risk of progression in premalignant lesions of the esophagus. Gastrointest Endosc 2021; 93:1065-1073.e3. [PMID: 32950597 DOI: 10.1016/j.gie.2020.09.020] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 09/12/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND AND AIMS At present, the surveillance strategy for premalignant esophageal lesions in China is based solely on the pathologic diagnosis in Lugol's chromoendoscopy (LCE). In this study, we sought to determine the degree to which various unstained features under LCE may lead to improved ability to predict the risk of progression in esophageal lesions. METHODS We re-examined and followed up on 1058 subjects who had Lugol-unstained lesions (LULs) together with a pathologic diagnosis that was lower than severe dysplasia at baseline screening based on a population-based randomized controlled trial over a median time of 5.8 years. We established a logistic regression model and calculated the adjusted cumulative incidence of severe dysplasia or malignancy. RESULTS LUL size was predictive of progression to malignant lesions in individuals with a nondysplastic diagnosis (adjusted odd ratio6-10 mm vs ≤5 mm, 6.7; 95% confidence interval, 1.7-25.7; adjusted odds ratio>10 mm vs ≤5 mm, 27.9; 95% confidence interval, 7.3-105.7), and the corresponding adjusted cumulative incidence of malignant lesions was 3.6 and 13.2 per 100 persons. This is higher than that of small (≤5 mm) lesions, which showed mild dysplasia (2.7 per 100 persons), a condition for which surveillance every 3 years is recommended. Under the current approach, 65.3% of interval cancers missed at surveillance would be detected if individuals with medium (6-10 mm) and large (>10 mm) nondysplastic LULs were additionally monitored. CONCLUSIONS We propose a modified surveillance strategy that combines findings under LCE examination and the pathologic analysis, where follow-up endoscopy is recommended for individuals with relatively large nondysplastic lesions.
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Family history of esophageal cancer modifies the association of serum lipids and malignant esophageal lesions: a nested case-control study from the "Endoscopic Screening for Esophageal Cancer in China" trial. Chin Med J (Engl) 2021; 134:1079-1086. [PMID: 33840743 PMCID: PMC8116024 DOI: 10.1097/cm9.0000000000001432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Background: The association of lipids and cancer has varied greatly among different cancer types, lipid components and study populations. This study is aimed to investigate the association of serum lipids and the risk of malignant lesions in esophageal squamous epithelium. Methods: In the “Endoscopic Screening for Esophageal Cancer in China” (ESECC) trial, serum samples were collected and tested for total cholesterol (TC), triglycerides, low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol at the time of subject enrollment. Cases were defined as malignant esophageal lesions identified by baseline endoscopic examination or by follow-up to May 31, 2018. Controls were randomly selected using incidence density sampling in the same cohort. Conditional logistic models were applied to identify the association of serum lipids and the risk of malignant esophageal lesions. Effect modification was evaluated by testing interaction terms of the factor under assessment and these serum lipid indicators. Results: No consistent association between serum lipid levels and esophageal malignant lesions were found in a pooled analysis of 211 cases and 2101 controls. For individuals with a family history of esophageal cancer (EC), high TC, and LDL-C were associated with a significantly increased risk of having malignant lesions (odds ratio [OR]High vs. Low TC = 2.22, 95% confidence interval [CI]: 1.14–4.35; ORHigh vs. Low LDL-C = 1.93, 95% CI: 1.01–3.65). However, a negative association was observed in participants without an EC family history (ORHigh vs. Low TC = 0.69, 95% CI: 0.48–0.98, Pinteraction = 0.002; ORHigh vs. Low LDL-C = 0.50, 95% CI: 0.34–0.76, Pinteraction < 0.001). Conclusions: In this study, we found that the association of serum lipids and malignant esophageal lesions might be modified by EC family history. The stratified analysis would be crucial for population-based studies investigating the association of serum lipids and cancer. The mechanism by which a family history of EC modifies this association warrants further investigation.
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Tian H, Liu W, Song Y, Mi L, Liu Z, Liu M, Guo C, Liu F, Liu Y, Pan Y, Zhu J, He Z, Ke Y. The Incidence of Lymphoma in Beijing: Comparing Results from MIS-CASS (2019) and Beijing Cancer Registry (2017). China CDC Wkly 2021; 3:1118-1125. [PMID: 35186368 PMCID: PMC8855075 DOI: 10.46234/ccdcw2021.269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 12/12/2021] [Indexed: 11/23/2022] Open
Abstract
Introduction This study aimed to evaluate the performance of the Medical-Insurance-System-based Cancer Surveillance System (MIS-CASS) in estimating cancer incidence by comparing the results with the Beijing Cancer Registry (BCR), which is one of the highest-quality population-based cancer registries in China. Methods Using lymphoma as an example, we extracted relevant claims data from the administrative systems of medical insurance in Beijing (2012–2020) and estimated the most current lymphoma incidence in Beijing (2019) using a standard data processing procedure. The absolute number of new cases, crude incidence rate, and age-standardized incidence rate of lymphoma were compared with the latest data reported by the BCR (2017). Results Both lymphoma incidence rates and age distribution of new cases estimated based on MIS-CASS were similar to the BCR data (crude incidence rate: 9.8/100,000 vs. 10.6/100,000). However, because MIS-CASS included more designated hospitals and covered a larger local stationary population irrespective of household registration (hukou), the absolute number of incident lymphoma cases identified by MIS-CASS was 39.1% higher than that reported by the BCR (2,002 vs. 1,439).
Conclusions The MIS-CASS approach reflected the actual cancer burden in a more complete and timely manner as compared with the current BCR, providing new insights for improving cancer surveillance strategies in China.
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Affiliation(s)
- Hongrui Tian
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Weiping Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yuqin Song
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - Lan Mi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, China
| | - Zhen Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Mengfei Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Chuanhai Guo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Fangfang Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ying Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yaqi Pan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jun Zhu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Lymphoma, Peking University Cancer Hospital & Institute, Beijing, China
- Zhonghu He,
| | - Zhonghu He
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
- Jun Zhu,
| | - Yang Ke
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
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Tian H, Yang W, Hu Y, Liu Z, Chen L, Lei L, Zhang F, Cai F, Xu H, Liu M, Guo C, Chen Y, Xiao P, Chen J, Ji P, Fang Z, Liu F, Liu Y, Pan Y, dos-Santos-Silva I, He Z, Ke Y. Estimating cancer incidence based on claims data from medical insurance systems in two areas lacking cancer registries in China. EClinicalMedicine 2020; 20:100312. [PMID: 32215367 PMCID: PMC7090368 DOI: 10.1016/j.eclinm.2020.100312] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 02/19/2020] [Accepted: 02/24/2020] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND We aimed to establish a Medical-Insurance-System-based Cancer Surveillance System (MIS-CASS) in China and evaluate the completeness and timeliness of this system through reporting cancer incidence rates using claims data in two regions in northern and southern China. METHODS We extracted claims data from medical insurance systems in Hua County of Henan Province, and Shantou City in Guangdong Province in China from Jan 1, 2012 to Jun 30, 2019. These two regions have been considered to be high risk regions for oesophageal cancer. We developed a rigorous procedure to establish the MIS-CASS, which includes data extraction, cleaning, processing, case ascertainment, privacy protection, etc. Text-based diagnosis in conjunction with ICD-10 codes were used to determine cancer diagnosis. FINDINGS In 2018, the overall age-standardised (Segi population) incidence rates (ASR World) of cancer in Hua County and Shantou City were 167·39/100,000 and 159·78/100,000 respectively. In both of these areas, lung cancer and breast cancer were the most common cancers in males and females respectively. Hua County is a high-risk region for oesophageal cancer (ASR World: 25·95/100,000), whereas Shantou City is not a high-risk region for oesophageal cancer (ASR World: 11·43/100,000). However, Nanao island had the highest incidence of oesophageal cancer among all districts and counties in Shantou (ASR World: 36·39/100,000). The age-standardised male-to-female ratio for oesophageal cancer was lower in Hua County than in Shantou (1·69 vs. 4·02). A six-month lag time was needed to report these cancer incidences for the MIS-CASS. INTERPRETATION MIS-CASS efficiently reflects cancer burden in real-time, and has the potential to provide insight for improvement of cancer surveillance in China. FUNDING The National Key R&D Program of China (2016YFC0901404), the Digestive Medical Coordinated Development Center of Beijing Municipal Administration of Hospitals (XXZ0204), the Sanming Project of Shenzhen (SZSM201612061), and the Shantou Science and Technology Bureau (190829105556145, 180918114960704).
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Affiliation(s)
- Hongrui Tian
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Wei Yang
- Cancer Hospital of Shantou University Medical College, Guangdong Province, China
| | - Yanjun Hu
- Healthcare Security Administration of Hua County, Henan Province, China
| | - Zhen Liu
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Lei Chen
- Cancer Hospital of Shantou University Medical College, Guangdong Province, China
| | - Liang Lei
- Healthcare Security Administration of Hua County, Henan Province, China
| | - Fan Zhang
- Cancer Hospital of Shantou University Medical College, Guangdong Province, China
| | - Fen Cai
- Cancer Hospital of Shantou University Medical College, Guangdong Province, China
| | - Huawen Xu
- Cancer Hospital of Shantou University Medical College, Guangdong Province, China
| | - Mengfei Liu
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Chuanhai Guo
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yun Chen
- Peking University Shenzhen Hospital, Guangdong Province, China
| | - Ping Xiao
- Peking University Shenzhen Hospital, Guangdong Province, China
| | - Junhui Chen
- Peking University Shenzhen Hospital, Guangdong Province, China
| | - Ping Ji
- Peking University Shenzhen Hospital, Guangdong Province, China
| | - Zhengyu Fang
- Peking University Shenzhen Hospital, Guangdong Province, China
| | - Fangfang Liu
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ying Liu
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yaqi Pan
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Isabel dos-Santos-Silva
- Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Zhonghu He
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yang Ke
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China
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Tian H, Xu R, Li F, Guo C, Zhang L, Liu Z, Liu M, Pan Y, He Z, Ke Y. Identification of cancer patients using claims data from health insurance systems: A real-world comparative study. Chin J Cancer Res 2019; 31:699-706. [PMID: 31564812 PMCID: PMC6736657 DOI: 10.21147/j.issn.1000-9604.2019.04.13] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Objective To evaluate the accuracy of identifying cancer patients by use of medical claims data in a health insurance system in China, and provide the basis for establishing the claims-based cancer surveillance system in China. Methods We chose Hua County, Henan Province as the study site, and randomly selected 300 and 1,200 qualified inpatient electronic medical records (EMRs) as well as the New Rural Cooperative Medical Scheme (NCMS) claims records for cancer patients in Hua County People’s Hospital (HCPH) and Anyang Cancer Hospital (ACH) in 2017. Diagnostic information for NCMS claims was evaluated on an individual level, and sensitivity and positive predictive value (PPV) were calculated taking the EMRs as the gold standard. Results The sensitivity of NCMS was 95.2% (93.8%−96.3%) and 92.0% (88.3%−94.8%) in ACH and HCPH, respectively. The PPV of the NCMS was 97.8% (96.7%−98.5%) in ACH and 89.0% (84.9%−92.3%) in HCPH. Overall, the weighted and combined sensitivity and PPV of NCMS in Hua County was 93.1% and 92.1%, respectively. Significantly higher sensitivity and PPV in identifying patients with common cancers than non-common cancers were detected in HCPH and ACH separately (P<0.01). Conclusions Identification of cancer patients by use of the NCMS is accurate on individual level, and it is therefore feasible to conduct claims-based cancer surveillance in areas not covered by cancer registries in China.
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Affiliation(s)
- Hongrui Tian
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Ruiping Xu
- Anyang Cancer Hospital, Anyang 455000, China
| | - Fenglei Li
- Hua County People's Hospital, Anyang 456400, China
| | - Chuanhai Guo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Lixin Zhang
- Anyang Cancer Hospital, Anyang 455000, China
| | - Zhen Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Mengfei Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Yaqi Pan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Zhonghu He
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Yang Ke
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China
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