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Li YJ, Cao MD, Wang X, Lei L, Peng J, Shi J. [Thirty-year changes in disability adjusted life years for colorectal cancer in China: a screening perspective analysis]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:1381-1387. [PMID: 36117343 DOI: 10.3760/cma.j.cn112338-20220504-00377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: From a screening-focused perspective, to analyze the 30-year changes in disability adjusted life years (DALYs) caused by colorectal cancer (CRC) in China and in some other selected populations, to inform extent of burden of CRC and future related prevention and control in populations in China. Methods: Based on the data of Global Burden of Disease 2019 (GBD 2019), the DALYs, world standardized DALY rate, and the composition of different subgroups in China were collected. Joinpoint regression model was used to analyze the trend during 1990-2019, and comparison was made with the international data and population screening situation. The trend of DALY burden caused by CRC in China was predicted. Results: In 2019, the DALYs due to CRC in China was 6.395 million person-years, accounting for 26.3% of the global burden and 9.5% of all cancers burden in China; the DALYs in men accounted for 65.2%, in those aged ≥65 years old accounted for 44.8%, in the age group recommended by local screening guidelines (40-75 years) accounted for 73.7%. The years lived with disability accounted for 4.8%. Compared with 1990, the CRC-caused DALYs in China increased by 181.5% in 2019. Factors with the largest increase in the attributable percentage were high Body Mass Index (151.1%), diet high in red meat (86.4%) and diet high in processed meat (78.8%), etc. For DALY rate, it was 245.6/100 000 in 1990 and 320.6/100 000 in 2019, an increase of 30.5%. For reference, Australia (began in 2006), the UK (2006), and Japan (1992), where CRC population-wide screening has been conducted, had decreases in DALY rate of 36.0%, 28.6%, and 17.8%, respectively. The predication of DALYs suggested that without continued expansion of population-based screening, the DALYs in China would reach 7.7 million person-year-9.1 million person-year by 2030, an increase of 19.9%-41.8% compared with 2019. Conclusions: The burden of CRC-caused DALYs in China increased over the past 30 years, and would become more serious because of population aging and the concomitant disability problem. The age range recommended by the current local screening guideline could theoretically include 70% of the population from which the DALYs burden originates, however, the real-world population screening coverage is still limited. The observed decline in CRC-related DALY rate in selected countries was substantially due to the implementation of mass screening, indicating the importance of speedily expanding the population coverage of CRC screening in China.
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Affiliation(s)
- Y J Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M D Cao
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - X Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L Lei
- Department of Cancer Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen 518020, China
| | - J Peng
- Department of Cancer Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen 518020, China
| | - Jufang Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Shi JF, Cao MD, Yan XX, Cao MM, Wang YT, Li YJ, Wang X, Li JB, Li N, Qu CF, Chen WQ. [Access to liver cancer screening and surveillance in populations in China: an exploratory analysis]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:906-914. [PMID: 35725349 DOI: 10.3760/cma.j.cn112338-20211112-00879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To systematically quantify the access to screening and surveillance service of liver cancer in populations in China, especially a series of sub-indicators of the availability. Methods: Following the specific indicators applied by the International Agency for Research on Cancer in the session of availability and use of screening practices in several cancer screening handbooks, information about the access/availability of liver cancer screening and surveillance in population in China were collected; the indicators included local policies and guidelines, procedures most commonly used or recommended, population coverage and participation rate, compliance and related factors, treatment rate, acceptability, equity and others. Systematic review approach was used, combined with searching core literatures/monograph, websites of governments and available program reports, for a systematic analysis on the access to liver cancer screening and surveillance in populations in China. Results: A total of 34 journal articles were included from the systematic review and most of which were about the participation of secondary liver screening or surveillance compliance; additional information were mainly obtained from the other sources. Overall, there were clearly recommended screening and surveillance procedures for liver cancer in the three major cancer screening programs funded by the central government of China. It was estimated that 0.09% of the population aged 35-74 years were covered by liver cancer screening in 2019 in China. The overall participation rates of secondary screening ranged from 37.5% to 62.3% in three major programs, the median compliance rate of surveillance was reported as 26.9% (Q1,Q3: 23.5%, 41.0%) in the 6 included studies. Two studies reported the factors affecting the participation and compliance. A large-scale multicenter analysis showed that the subject acceptability to alpha fetoprotein test combined with ultrasound screening was as high as 99.3% in high-risk population in urban area. The treatment rate of liver cancer founded by screening, surveillance or follow-up was estimated to be >90% in rural population. No studies of equity were obtained via the systematic review. Conclusions: The public health service programs in China all recommend specific procedures for liver cancer screening in general population and surveillance for high-risk individuals. However, the overall availability needs to be improved, particularly in the indicator of population coverage. Participation rates of screening and compliance rates of surveillance varied among the included programs and the studies, suggesting that the influencing factors need to be further identified. The relatively high subject acceptability suggests the potential demands for screening service. More efforts are needed to address the access to screening and surveillance of liver cancer in populations in China.
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Affiliation(s)
- J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M D Cao
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - X X Yan
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M M Cao
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y T Wang
- State Key Laboratory of Molecular Oncology and Department of Immunology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y J Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - X Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J B Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - C F Qu
- State Key Laboratory of Molecular Oncology and Department of Immunology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Yan XX, Li YJ, Cao MD, Wang H, Liu CC, Wang X, Ran JC, Liang L, Lei L, Peng J, Shi JF. [DALYs for breast cancer in China, 2000-2050: trend analysis and prediction based on GBD 2019]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:2156-2163. [PMID: 34954980 DOI: 10.3760/cma.j.cn112338-20210506-00373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: Based on the data of Global Burden of Disease 2019 data, to analyze the past, current, and future burden of disability-adjusted life years (DALYs) in China and compare with the international status. Methods: The total number of DALYs, age-standardized DALY rate, and the composition of different subgroups were extracted and described to analyze the time trend in 2000-2019 and the current situation in 2019 for Chinese female breast cancer. The burden of DALYs in 2050 was predicted by Joinpoint using average annual percent change (AAPC). Results: In 2000-2019, the ranking of DALYs caused by female breast cancer in China rose from the fourth to the second in all female cancers. The total DALYs increased by 48.4%, of which the years lived with disability increased from 4.8% to 8.8%. The age-standardized DALY rate only slightly decreased (AAPC=-0.3%; which increased during 2016-2019, AAPC=1.6%). In 2019, the age-standardized DALY rate for breast cancer in China was 278.0/100 000. The DALYs were 2.88 million (accounting for 14.2% of the global burden and 12.1% of all female cancers burden in China), 26.5% of which attributed known risk factors (overweight and obesity were the largest: 0.34 million DALYs, but some common breast cancer risk factors were not available on the platform, such as menstruation and fertility). In 2050, the prediction suggests that the total DALYs caused by female breast cancer in China will reach 3.80 million person-years-5.16 million person-years, increasing 32.1%-79.4% over 2019. From 2000 to 2019, the peak age of DALYs and DALY rate became older, and the DALYs among females aged 65 years and above increased faster than those younger than 65 years (AAPC were 4.8% and 1.3%, respectively). In 2019, females aged 45-74 (the starting age recommended by local guidelines for breast cancer screening) contributed 74.3% of the total DALYs. Conclusions: Over the past 20 years, the age-standardized DALY rate for breast cancer in female populations in China has not changed obviously. Without the continuous expansion of effective intervention and population aging, the burden of DALYs for female breast cancer in China will increase. DALYs for breast cancer attributed leading risk factors were still limited.
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Affiliation(s)
- X X Yan
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y J Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M D Cao
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - H Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - X Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J C Ran
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China Department of Healthcare-Associated Infection Management, Third People's Hospital of Shenzhen (Second Affiliated Hospital of Southern University of Science and Technology), Shenzhen 518114, China
| | - L Liang
- Department of Cancer Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen 518020, China
| | - L Lei
- Department of Cancer Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen 518020, China
| | - J Peng
- Department of Cancer Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen 518020, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Yao SY, Cao MD, He X, Fu BSC, Yung PSH. Biological modulations to facilitate graft healing in anterior cruciate ligament reconstruction (ACLR), when and where to apply? A systematic review. J Orthop Translat 2021; 30:51-60. [PMID: 34611514 PMCID: PMC8458724 DOI: 10.1016/j.jot.2021.07.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 07/21/2021] [Accepted: 07/27/2021] [Indexed: 12/16/2022] Open
Abstract
Background When and where to apply the biological modulations is effective to promote healing in the anterior cruciate ligament (ACL) reconstruction remains unclear. Purpose To perform a systematic review of preclinical animal studies on biological modulation in anterior cruciate ligament reconstruction (ACLR) concerning the time and site of delivery. Study design Systematic review of controlled laboratory studies. Methods PubMed, Ovid, and Scopus were searched until December 2020 using a combination of keywords and their synonym to retrieve all animal studies about biological modulation in ACLR. Studies that assessed mechanical strength after ACLR and compared with negative control were included. The methodological quality of animal studies was evaluated. Results 33 studies were included in this review and the majority reported mechanical strength improvement. 79 % of studies applied the biological modulations intra-operatively with different delivery systems used. For 21 % of post-operative delivery studies, intermittent delivery was tried. 21 of the included studies directly applied the biological modulations in the bone tunnels, 5 studies applied intra-articularly while 7 studies applied both in the bone tunnels and intra-articular part. Biological modulations applied intra-operatively and those applied in both parts showed better mechanical strength increase. A shift of the failure mode of pull-out from the bone tunnel in the early healing phase, to mid-substance rupture in the later phase was observed in most studies. Conclusion The improvement of the mechanical strength depends on how the biological modulations (delivery phase, delivery site, delivery form) are applied. The intra-operative delivery showed an overall higher mechanical strength increase and bone tunnel only delivery or intra-articular and bone tunnel both delivery are preferred than intra-articular only delivery. In addition, intra-articular and bone tunnel both delivery can have better mechanical strength increase for a long follow-up time. Thus, intra-operative application with a carrier to control release rate in both parts should be recommended. Further studies are needed to achieve a better healing outcome and more attention should be given to the intra-articular remodeling of the graft along with the tendon bone healing to increase the final mechanical strength. The Translational potential of this article Here, a systematic review of preclinical evidence of the time, site and the method the biological modulations being applied for ACLR to improve the graft healing would be performed. After reviewing the available studies, a choice of when and where to apply the biological modulations can achieve better mechanical strength after ACLR can be obtained. It provides evidence for both researchers and clinicians to decide when and where to apply the biological modulations can achieve their best effectiveness for ACLR before implementing. Promoting graft healing with targeted time and targeted site may reduce the risk of graft failure, safeguard return to sport.
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Affiliation(s)
- S Y Yao
- Department of Orthopaedics and Traumatology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - M D Cao
- Department of Orthopaedics and Traumatology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - X He
- Department of Orthopaedics and Traumatology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Bruma S C Fu
- Department of Orthopaedics and Traumatology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Patrick S H Yung
- Department of Orthopaedics and Traumatology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
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Wang H, Cao MD, Liu CC, Yan XX, Huang HY, Zhang Y, Chen HD, Ren JS, Li N, Chen WQ, Dai M, Shi JF. [Disease burden of colorectal cancer in China: any changes in recent years?]. Zhonghua Liu Xing Bing Xue Za Zhi 2020; 41:1633-1642. [PMID: 33297619 DOI: 10.3760/cma.j.cn112338-20200306-00273] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To update the disease burden of colorectal cancer (CRC) in Chinese population by integrating the latest multi-source evidences. Methods: Groups of data from GLOBOCAN, series of Chinese Cancer Registry Annual Report (annual report), Cancer Incidence in Five Continents (CI5), Global Burden of Disease Project 2017 (GBD), China Death Cause Surveillance Datasets and China Health Statistical Yearbooks (yearbook) were used to extract the information. Data on incidence, mortality, disability-adjusted life year (DALY) and percentage distribution of sub-location of CRC were used to analyze the latest disease burden in China, and age-standardized rates by world standard population were mainly used. Joinpoint Trend Analysis Software 4.7.0.0 was applied for time trend analysis. Data related to the economic burden of CRC in China were gathered by literature review. Results: (1) Current status: according to the latest annual report, the incidence and mortality rates of CRC were 17.1 per 100 000 and 7.9 per 100 000, respectively among the covered registration sites in 2015. The incidence ratios of male to female and that of urban to rural were 1.5 and 1.4, with the mortality ratios were 1.6 and 1.4, respectively. Similar to data from the annual report, the mortality rate was reported as 6.9 per 100 000 in 2017 by the surveillance data sets. Data from the GBD project showed that, the DALYs caused by CRC in China in 2017 was 4.254 million person years (doubled compared with that of 1990), accounting for 22.4% of the global burden of CRC. (2) Time trends: according to the annual reports, from 2009 to 2015, the incidence rate and mortality rate of CRC in China decreased by 10.2% and 9.5%, respectively. The same trend was also observed in urban sites, but was opposite in rural areas (increased 20.0% in incidence and 15.2% in mortality). Results from the Joinpoint analysis showed that the averaged annual percentage change (AAPC) was estimated as -1.6% (P<0.05) in the national mortality rate. Similarly, in the incidence and mortality rates of urban sites appeared as AAPC=-1.5% and -1.4% (all P<0.05), but inversely in the incidence rate from the rural sites as AAPC=3.3% (P<0.05). The yearbook data showed a 9.8% increase in urban and 20.6% increase in rural on the mortality in 2017 when compared with 2004, but the Joinpoint analysis showed no statistical significance (P<0.05). (3) Distribution of sub-location of CRC: the annual report showed that among all the new CRC cases in China in 2015, colon, rectal and anal cancer accounted for 49.6%, 49.2% and 1.2%, respectively, while the proportions were 51.3%, 47.6% and 1.1%, respectively in 2009. The proportion of colon cancer was continuously higher in the urban (>52%) than that in the rural areas (<44%). The CI5 Ⅺ data showed that ascending and sigmoid colons were more commonly seen among all the colon cancers. (4) Economic burden: the average annual growth rate of the medical expenditure per CRC patient in China ranged from 6.9% to 9.2%, and the 1-year out-of-pocket expenditure of a newly diagnosed patient accounted for about 60% of their previous-year household income. Conclusions: In China, the overall disease burden of CRC might have been decreased slightly but generally remained stable in the last several years, however, the rising burden appeared in the rural areas should not be ignored. In consistent with findings from a previous review, men and people from the urban areas are considered the target populations for CRC. The finding of higher proportion of colon cancer in urban areas suggests the impact of development of socioeconomic and medical technologies on CRC development and detection. The economic burden of CRC continued to grow.
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Affiliation(s)
- H Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M D Cao
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - X X Yan
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - H Y Huang
- Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Y Zhang
- Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing 100026, China
| | - H D Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - W Q Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Wang H, Liu CC, Bai FZ, Zhu J, Yan XX, Cao MD, Du LB, Wei DH, Wang DB, Liao XZ, Dong D, Gao Y, Dong P, Zhu C, Ma YL, Chai J, Xiao HF, Kong YX, Zhang Q, Zheng WF, Ying RB, Zhou H, Ren JS, Li N, Chen HD, Shi JF, Dai M. [Population's acceptance and attitude toward a novel fecal immunochemical test for colorectal cancer screening: a multi-center survey in China]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:760-767. [PMID: 32842299 DOI: 10.3760/cma.j.cn112150-20191218-00941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the acceptance and attitude toward a novel fecal immunochemical test (FIT) in colorectal cancer screening among populations in China. Methods: From May 2018 to May 2019, 2 474 people aged 50-74 years were recruited from five provinces of China (Zhejiang, Anhui, Jiangsu, Hunan and Yunnan). The general demographic characteristics, acceptance of the new FIT technology and operational difficulties through the whole screening process were obtained through questionnaire survey. Multivariate logistic regression model was used to analyze the factors related to difficulties encountered in sampling stool, reading and uploading results. Results: The subjects were (60.0±6.4) years old, and female, high school of above educated, unemployed/retired/other, married and with medical insurance status of "new rural cooperative medical care (NRCMC)" accounted for 61.7% (1 526), 29.0%(718), 34.3% (849), 92.7% (2 293) and 31.3%(775), respectively. The population's acceptance of the FIT technology was 94.8%. In the process of FIT screening, the percentage of occurred difficulties in sampling stool, reading and uploading results were 33.1% (819), 46.4% (1 147) and 62.9% (1 557), respectively. The main difficulties were the uncertainty about whether the sampling operation was standard (28.0%), the inability to accurately judge the result displayed (32.5%) and the need for help without using a smartphone (44.2%). The results of multivariate logistic regression model analysis showed that people aged 65-74 years old and with medical insurance status of "NRCMC" were more likely to encounter difficulties in sampling, and those who were unemployed/retired/other and living with 3 or more family members were less likely to encounter difficulties in sampling. Those aged 65-74 years old, farmers or migrant workers, and those with "NRCMC" were more likely to encounter difficulties in readingresults, and those with 3 or more family members were less likely to encounter difficulties in reading result. Those with "NRCMC" were more likely to encounter difficulties in uploading results, and those with education level of high school or above, living with more than 3 family members were less likely to encounter difficulties in uploading results. Conclusion: The acceptance of the new FIT technology is relatively high among the subjects. Age, education level, occupation, number of family members living together and medical insurance status might be related to difficulties encountered in sampling stool, reading and uploading results, and it can be further strengthened in terms of the technology and characteristics of sub-populations.
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Affiliation(s)
- H Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - C C Liu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - F Z Bai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J Zhu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - X X Yan
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M D Cao
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - L B Du
- Institute of Cancer and Basic Medicine, Chinese Academy of Sciences/ Department of Cancer Prevention,Cancer Hospital of the University of Chinese Academy of Sciences/ Department of Cancer Prevention,Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - D H Wei
- Office for Cancer Prevention and Control, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - D B Wang
- School of Health Services Management, Anhui Medical University, Hefei 230032, China
| | - X Z Liao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - D Dong
- Office of Cancer Prevention and Treatment, Xuzhou Cancer Hospital, Xuzhou 221000, Jiangsu Province, China
| | - Y Gao
- Department of Colorectal Surgery, Department of Tumor Hospital of Yunnan Province/Third Affiliated Hospital of Kunming Medical University, Kunming 650118, China
| | - P Dong
- Department of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China
| | - C Zhu
- Institute of Cancer and Basic Medicine, Chinese Academy of Sciences/ Department of Cancer Prevention,Cancer Hospital of the University of Chinese Academy of Sciences/ Department of Cancer Prevention,Zhejiang Cancer Hospital, Hangzhou 310022, China
| | - Y L Ma
- Office for Cancer Prevention and Control, Anhui Provincial Cancer Hospital, Hefei 230032, China
| | - J Chai
- School of Health Services Management, Anhui Medical University, Hefei 230032, China
| | - H F Xiao
- The Department of Cancer Prevention and Control, Hunan Provincial Cancer Hospital, Changsha 410006, China
| | - Y X Kong
- Office of Cancer Prevention and Treatment, Xuzhou Cancer Hospital, Xuzhou 221000, Jiangsu Province, China
| | - Q Zhang
- Department of Cancer Prevention, Department of Tumor Hospital of Yunnan Province/ Third Affiliated Hospital of Kunming Medical University, Kunming 650118, China
| | - W F Zheng
- Department of Proctology, Lanxi Red Cross Hospital, Lanxi 321100, Zhejiang Province, China
| | - R B Ying
- Department of Surgical Oncology, Taizhou Cancer Hospital, Taizhou 317502, Zhejiang Province, China
| | - H Zhou
- Administrative Management Office, Yunnan Cancer Hospital/ The Third Affiliated Hospital of Kunming Medical University/ Yunnan Cancer Center, Kunming 650118, China
| | - J S Ren
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - N Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - H D Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - J F Shi
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - M Dai
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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Wijnen JP, Jiang L, Greenwood TR, Cheng M, Döpkens M, Cao MD, Bhujwalla ZM, Krishnamachary B, Klomp DWJ, Glunde K. Silencing of the glycerophosphocholine phosphodiesterase GDPD5 alters the phospholipid metabolite profile in a breast cancer model in vivo as monitored by (31) P MRS. NMR Biomed 2014; 27:692-9. [PMID: 24764256 PMCID: PMC4162314 DOI: 10.1002/nbm.3106] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2013] [Revised: 03/06/2014] [Accepted: 03/09/2014] [Indexed: 05/18/2023]
Abstract
Abnormal choline phospholipid metabolism is an emerging hallmark of cancer, which is implicated in carcinogenesis and tumor progression. The malignant metabolic phenotype is characterized by high levels of phosphocholine (PC) and relatively low levels of glycerophosphocholine (GPC) in aggressive breast cancer cells. Phosphorus ((31) P) MRS is able to non-invasively detect these water-soluble metabolites of choline as well as ethanolamine phospholipid metabolism. Here we have investigated the effects of stably silencing glycerophosphoester diesterase domain containing 5 (GDPD5), which is an enzyme with glycerophosphocholine phosphodiesterase activity, in MDA-MB-231 breast cancer cells and orthotopic tumor xenografts. Tumors in which GDPD5 was stably silenced with GDPD5-specific shRNA contained increased levels of GPC and phosphoethanolamine (PE) compared with control tumors.
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Affiliation(s)
- J P Wijnen
- The Johns Hopkins University In vivo Cellular and Molecular Imaging Center, Division of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Radiology, University Medical Centre Utrecht, Utrecht, The Netherlands
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Cao MD, Balasubramanian S, Boden M. Sequencing technologies and tools for short tandem repeat variation detection. Brief Bioinform 2014; 16:193-204. [DOI: 10.1093/bib/bbu001] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
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