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Imperiale TF. Editorial: Understanding the Trade-Offs When Considering Positivity Threshold of Faecal Immunochemical Tests. Aliment Pharmacol Ther 2025; 61:202-203. [PMID: 39462872 DOI: 10.1111/apt.18355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2024] [Revised: 10/11/2024] [Accepted: 10/11/2024] [Indexed: 10/29/2024]
Affiliation(s)
- Thomas F Imperiale
- Division of Gastroenterology and Hepatology, Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA
- The Center for Health Information and Communication, Health Services Research and Development, Richard L. Roudebush VA Medical Center, Indianapolis, Indiana, USA
- The Regenstrief Institute, Inc, Indianapolis, Indiana, USA
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Yuan Z, Wang S, Wang Y, Li H, Gao W, Liu X, Han Y, Liu Z, Zhang Q, Ma H, Wang J, Wei X, Zhang X, Cui W, Zhang C. Age- and sex-stratified detection rates and associated factors of colorectal neoplasia in the Tianjin colorectal cancer screening program from 2012 to 2020. BMC Gastroenterol 2023; 23:435. [PMID: 38087194 PMCID: PMC10714643 DOI: 10.1186/s12876-023-03060-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/25/2022] [Accepted: 11/23/2023] [Indexed: 12/18/2023] Open
Abstract
PURPOSE Colorectal cancer (CRC) screening has been implemented in Tianjin, China since 2012. The objective was to estimate the neoplasia detection rate in a high-risk population by age and sex and to investigate the potential factors associated with colorectal neoplasia. PATIENTS AND METHODS This study is based on data of the Tianjin CRC screening program from 2012 to 2020. Residents with a positive high-risk factors questionnaire (HRFQ) or a positive faecal immunochemical test (FIT) were identified as high-risk participants and were subsequently recommended for a free colonoscopy. RESULTS A total of 4,117,897 eligible participants aged 40-74 years completed both a HRFQ and FIT, and 217,164 (5.3%) of them were identified as high-risk participants. Positive rates of preliminary screening increased with age and were higher in females than in males. For 57,971 participants undertaking colonoscopy, the detection rates of nonadvanced adenoma, advanced adenoma and CRC were 37.8%, 5.7% and 1.6%, respectively. Detection rates of advanced neoplasia increased from the age of 50 and were higher in males. For nonadvanced neoplasia, a strong increase was observed in males from the age of 40 and in females from the age of 50. Male sex had a greater impact on individuals aged 40-49 than on older individuals. Several factors including current smoking, drinking, and higher body mass index (BMI) were significantly associated with the presence of neoplasia, whereas, these associations were mainly restricted to individuals aged above 50 but not those aged 40-49 years. CONCLUSIONS These findings support that age-specific risk stratification and sex-specific initiating ages for CRC screening should be recommended to improve the accuracy and effectiveness of current screening strategy.
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Affiliation(s)
- Zhen Yuan
- School of Medicine, Nankai University, Tianjin, China
| | - Shuyuan Wang
- School of Medicine, Nankai University, Tianjin, China
| | - Yuqi Wang
- School of Medicine, Nankai University, Tianjin, China
| | - Hongzhou Li
- Department of Endoscopy, Tianjin Union Medical Center, Tianjin, China
| | - Weifeng Gao
- Department of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, China
| | - Xinyu Liu
- Tianjin Medical University, Tianjin, China
| | - Youkui Han
- Department of General Surgery, Tianjin Union Medical Center, Tianjin, China
| | - Zhaoce Liu
- School of Medicine, Nankai University, Tianjin, China
- Department of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, China
| | - Qinghuai Zhang
- Department of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, China
- The Institute of Translational Medicine, Tianjin Union Medical Center of Nankai University, Tianjin, China
- Tianjin Institute of Coloproctology, Tianjin, China
| | - Hong Ma
- Department of Nursing, Tianjin Union Medical Center, Tianjin, China
| | - Junying Wang
- Department of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, China
| | - Xiaomeng Wei
- Hospital Infection Management Division, Tianjin Union Medical Center, Tianjin, China
| | - Xipeng Zhang
- Department of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, China.
- The Institute of Translational Medicine, Tianjin Union Medical Center of Nankai University, Tianjin, China.
- Tianjin Institute of Coloproctology, Tianjin, China.
| | - Wei Cui
- School of Mathematical Sciences and LPMC, Nankai University, Tianjin, China.
| | - Chunze Zhang
- Department of Colorectal Surgery, Tianjin Union Medical Center, Tianjin, China.
- The Institute of Translational Medicine, Tianjin Union Medical Center of Nankai University, Tianjin, China.
- Tianjin Institute of Coloproctology, Tianjin, China.
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Xu W, Mesa-Eguiagaray I, Kirkpatrick T, Devlin J, Brogan S, Turner P, Macdonald C, Thornton M, Zhang X, He Y, Li X, Timofeeva M, Farrington S, Din F, Dunlop M, Theodoratou E. Development and Validation of Risk Prediction Models for Colorectal Cancer in Patients with Symptoms. J Pers Med 2023; 13:1065. [PMID: 37511678 PMCID: PMC10381199 DOI: 10.3390/jpm13071065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 06/27/2023] [Accepted: 06/28/2023] [Indexed: 07/30/2023] Open
Abstract
We aimed to develop and validate prediction models incorporating demographics, clinical features, and a weighted genetic risk score (wGRS) for individual prediction of colorectal cancer (CRC) risk in patients with gastroenterological symptoms. Prediction models were developed with internal validation [CRC Cases: n = 1686/Controls: n = 963]. Candidate predictors included age, sex, BMI, wGRS, family history, and symptoms (changes in bowel habits, rectal bleeding, weight loss, anaemia, abdominal pain). The baseline model included all the non-genetic predictors. Models A (baseline model + wGRS) and B (baseline model) were developed based on LASSO regression to select predictors. Models C (baseline model + wGRS) and D (baseline model) were built using all variables. Models' calibration and discrimination were evaluated through the Hosmer-Lemeshow test (calibration curves were plotted) and C-statistics (corrected based on 1000 bootstrapping). The models' prediction performance was: model A (corrected C-statistic = 0.765); model B (corrected C-statistic = 0.753); model C (corrected C-statistic = 0.764); and model D (corrected C-statistic = 0.752). Models A and C, that integrated wGRS with demographic and clinical predictors, had a statistically significant improved prediction performance. Our findings suggest that future application of genetic predictors holds significant promise, which could enhance CRC risk prediction. Therefore, further investigation through model external validation and clinical impact is merited.
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Affiliation(s)
- Wei Xu
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Ines Mesa-Eguiagaray
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Theresa Kirkpatrick
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Jennifer Devlin
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Medical Research Council, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
- Edinburgh Cancer Research Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Stephanie Brogan
- Clinical Research Team, Oncology Department, Forth Valley Royal Hospital, Stirling Road, Larbert FK5 4WR, UK
| | - Patricia Turner
- Clinical Research Team, Oncology Department, Forth Valley Royal Hospital, Stirling Road, Larbert FK5 4WR, UK
| | - Chloe Macdonald
- University Hospital Wishaw & University Hospital Monklands, NHS Lanarkshire, Airdrie ML6 0JS, UK
| | | | - Xiaomeng Zhang
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Yazhou He
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Xue Li
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Maria Timofeeva
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Medical Research Council, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
- Edinburgh Cancer Research Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
- Danish Institute for Advanced Study, Research Unit of Epidemiology, Biostatistics and Biodemography, Institute of Public Health, University of Southern Denmark, 5230 Odense M, Denmark
| | - Susan Farrington
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Medical Research Council, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
- Edinburgh Cancer Research Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Farhat Din
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Medical Research Council, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
- Edinburgh Cancer Research Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Malcolm Dunlop
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Medical Research Council, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
- Edinburgh Cancer Research Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Evropi Theodoratou
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, UK
- Edinburgh Cancer Research Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
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Soto-Salgado M, Suárez E, Viera-Rojas TD, Pericchi LR, Ramos-Cartagena JM, Deshmukh AA, Tirado-Gómez M, Ortiz AP. Development of a multivariable prediction model for anal high-grade squamous intraepithelial lesions in persons living with HIV in Puerto Rico: a cross-sectional study. LANCET REGIONAL HEALTH. AMERICAS 2023; 17:100382. [PMID: 36742079 PMCID: PMC9894264 DOI: 10.1016/j.lana.2022.100382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Background Persons living with HIV (PLWH) are at high risk of developing anal high-grade squamous intraepithelial lesions (HSIL). We aimed to develop a prediction model for anal HSIL based on individual characteristics of PLWH. Methods Cross-sectional study of PLWH aged ≥21 years who attended the Anal Neoplasia Clinic of the University of Puerto Rico Comprehensive Cancer Center from 2016 to 2022. The primary outcome was biopsy-confirmed anal HSIL. For each sex, relations between potential predictors and HSIL were examined using univariate (ULRM) and multivariable (MLRM) logistic regression models. Risk modelling was performed with MLRM and validated with bootstrapping techniques. The area under the ROC Curves (AUC) was estimated with 95% CI. Findings HSIL was detected among 45.11% of patients, 68.48% were males, and 59.42% were ≥45 aged. Multivariable analysis showed that, in women, the only significant predictor for HSIL was having a previous abnormal anal cytology (p = 0.01). In men, significant predictors for HSIL were having a previous abnormal anal cytology (p < 0.001) and a history of infection with any gonorrhoea (p = 0.002). Other suggestive predictors for HSIL among women were obesity and smoking. No association between smoking and HSIL among men was observed (p < 0.05). The AUC estimated among women (0.732, 95% CI: 0.651-0.811) was higher than in men (0.689, 95% CI: 0.629-0.748). Interpretation Our results support that the inclusion of individual characteristics into the prediction model will adequately predict the presence of HSIL in PLWH. Funding This work was supported by the NCI (Grants #U54CA096297, #R25CA240120), the NIGMS (Grant #U54GM133807), and the NIMHD (Grant #U54MD007587).
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Affiliation(s)
- Marievelisse Soto-Salgado
- Division of Cancer Control and Population Sciences, University of Puerto Rico (UPR) Comprehensive Cancer Center, San Juan, PR, USA,Department of Health Services Administration, Graduate School of Public Health, UPR Medical Sciences Campus, San Juan, PR, USA,Corresponding author. University of Puerto Rico Comprehensive Cancer Center, PMB 371, PO Box 70344, San Juan, 00936, Puerto Rico. , (M. Soto-Salgado)
| | - Erick Suárez
- Department of Biostatistics and Epidemiology, Graduate School of Public Health, UPR Medical Sciences Campus, San Juan, PR, USA
| | - Tariz D. Viera-Rojas
- Cancer Prevention and Control Research (CAPAC) Training Program, Division of Cancer Control and Population Sciences, UPR Comprehensive Cancer Center, San Juan, PR, USA
| | - Luis R. Pericchi
- Department of Mathematics, Faculty of Natural Sciences, UPR Rio Piedras Campus, PR, USA
| | - Jeslie M. Ramos-Cartagena
- UPR/MDACC Partnership for Excellence in Cancer Research Program, UPR Medical Sciences Campus, San Juan, PR, USA
| | - Ashish A. Deshmukh
- Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA,Hollings Cancer Center, Medical University of South Carolina, Charleston, SC, USA
| | - Maribel Tirado-Gómez
- Division of Cancer Medicine, UPR Comprehensive Cancer Center, San Juan, PR, USA,Hematology/Oncology Program, Department of Medicine, School of Medicine, UPR Medical Sciences Campus, San Juan, PR, USA
| | - Ana Patricia Ortiz
- Division of Cancer Control and Population Sciences, University of Puerto Rico (UPR) Comprehensive Cancer Center, San Juan, PR, USA,Department of Biostatistics and Epidemiology, Graduate School of Public Health, UPR Medical Sciences Campus, San Juan, PR, USA
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Cairns JM, Greenley S, Bamidele O, Weller D. A scoping review of risk-stratified bowel screening: current evidence, future directions. Cancer Causes Control 2022; 33:653-685. [PMID: 35306592 PMCID: PMC8934381 DOI: 10.1007/s10552-022-01568-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 03/02/2022] [Indexed: 12/21/2022]
Abstract
PURPOSE In this scoping review, we examined the international literature on risk-stratified bowel screening to develop recommendations for future research, practice and policy. METHODS Six electronic databases were searched from inception to 18 October 2021: Medline, Embase, PsycINFO, CINAHL, Cochrane Database of Systematic Reviews and Cochrane Central Register of Controlled Trials. Forward and backwards citation searches were also undertaken. All relevant literature were included. RESULTS After de-deduplication, 3,629 records remained. 3,416 were excluded at the title/abstract screening stage. A further 111 were excluded at full-text screening stage. In total, 102 unique studies were included. Results showed that risk-stratified bowel screening programmes can potentially improve diagnostic performance, but there is a lack of information on longer-term outcomes. Risk models do appear to show promise in refining existing risk stratification guidelines but most were not externally validated and less than half achieved good discriminatory power. Risk assessment tools in primary care have the potential for high levels of acceptability and uptake, and therefore, could form an important component of future risk-stratified bowel screening programmes, but sometimes the screening recommendations were not adhered to by the patient or healthcare provider. The review identified important knowledge gaps, most notably in the area of organisation of screening services due to few pilots, and what risk stratification might mean for inequalities. CONCLUSION We recommend that future research focuses on what organisational challenges risk-stratified bowel screening may face and a consideration of inequalities in any changes to organised bowel screening programmes.
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Affiliation(s)
- J M Cairns
- Hull York Medical School, University of Hull, Cottingham Road, Hull, HU6 7HR, UK.
| | - S Greenley
- Hull York Medical School, University of Hull, Cottingham Road, Hull, HU6 7HR, UK
| | - O Bamidele
- Hull York Medical School, University of Hull, Cottingham Road, Hull, HU6 7HR, UK
| | - D Weller
- Centre for Population Health Sciences, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, UK
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6
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Zhang JG, Wang H, Gu XF, Wang XY, Wang WJ, Du LB, Cao HL, Zhang X, Shi JH, Zhao YQ, Ma L, Liu YY, Huang JX, Cao J, Fan YP, Li L, Feng CY, Zhu Q, Du JC, Wang XH, Han BB, Qiao YL. Status and associated factors of cross-regional healthcare-seeking among patients with advanced colorectal cancer in China: a multicenter cross-sectional study. ANNALS OF TRANSLATIONAL MEDICINE 2022; 10:342. [PMID: 35433943 PMCID: PMC9011287 DOI: 10.21037/atm-22-1003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 03/21/2022] [Indexed: 11/06/2022]
Abstract
Background The imbalanced allocation of medical resources leads to the occurrence of cross-regional healthcare-seeking in China. Due to the low cure rate, advanced colorectal cancer (CRC) patients may seek cross-regional healthcare for high-level medical facilities. Investigating status of cross-regional healthcare-seeking and its associated factors among advanced CRC patients is important for policymakers to understand access to health services and improve the quality of oncology services. Methods From March 2020 to March 2021, a cross‑sectional, nation-wide, hospital-based, multi-center survey was conducted. Nineteen hospitals in seven regions were selected by multi-stage stratified sampling. All eligible CRC patients in the selected hospitals were invited to participate in the current study. The outcome variable, cross-regional healthcare-seeking, was defined as seeking health facilities outside the local administration policy of medical insurance. The demographics, clinical information, and medical treatment history of each eligible CRC patient in stage III or IV, were collected through the patients' self-reporting or medical records by trained interviewers. Univariate and multivariate logistic analyses were used to explore the associated factors of cross-regional healthcare-seeking. All statistical analyses were conducted using SAS 9.4. Results A total of 4,589 individuals with advanced CRC were included. The average age of the patients was 60.1±11.6 years, and 59.5% were males. About 37.5% of the patients suffered from metastatic CRC at first diagnosis. Approximately 36.5% of the patients had sought cross-regional health care previously, and among them, 31.9% had encountered problems. The most common problems included complicated procedures (95.3%), unreimbursed expenses of outpatient service (71.0%), and reimbursement delay (59.4%). Logistic regression analysis showed that patients who completed undergraduate or above [odds ratio (OR) =1.40, 95% confidence interval (CI): 1.13-1.73], had an annual household income of more than 100,000 Chinse Yuan (CNY) (OR =1.46, 95% CI: 1.21-1.78), and had metastasis at diagnosis (OR =1.33, 95% CI: 1.18-1.51) were more likely to seek cross-regional health care. Conclusions About one third of advanced CRC patients seek cross-regional health care, and 31.9% had encountered problems. There is a need to simplify procedures of reimbursement, optimize direct settlement system and referral mechanisms in order to improve the equality of health services.
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Affiliation(s)
- Jian-Gong Zhang
- Department of Cancer Epidemiology, Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Hong Wang
- Department of Cancer Epidemiology, Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Xiao-Fen Gu
- Department of Student Affairs, Affiliated Tumor Hospital, Xinjiang Medical University, Ürümqi, China
| | - Xiao-Yang Wang
- Department of Cancer Epidemiology, Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Wen-Jun Wang
- School of Nursing, Jining Medical University, Jining, China
| | - Ling-Bin Du
- Department of Cancer Prevention, The Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China
| | - He-Lu Cao
- Department of Preventive Health, Xinxiang Central Hospital, Xinxiang, China
| | - Xi Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ji-Hai Shi
- The Clinical Epidemiology of Research Center, Department of Dermatological, The First Affiliated Hospital of Baotou Medical College, Baotou, China
| | - Yu-Qian Zhao
- Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Li Ma
- Public Health School, Dalian Medical University, Dalian, China
| | - Yun-Yong Liu
- Liaoning Office for Cancer Control and Research, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, China
| | - Juan-Xiu Huang
- Department of Gastroenterology, Wuzhou Red Cross Hospital, Wuzhou, China
| | - Ji Cao
- Department of Cancer Prevention and Control Office, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yan-Ping Fan
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Li Li
- Department of Clinical Research, The First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Chang-Yan Feng
- Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, China
| | - Qian Zhu
- School of Public Health and Management, Chongqing Medical University, Chongqing, China
| | - Jing-Chang Du
- School of Public Health, Chengdu Medical College, Chengdu, China
| | - Xiao-Hui Wang
- Department of Public Health, Gansu Provincial Cancer Hospital, Lanzhou, China
| | - Bin-Bin Han
- Department of Cancer Epidemiology, Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - You-Lin Qiao
- Department of Cancer Epidemiology, Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China.,Center for Global Health, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Wang H, Ma L, Gu XF, Li L, Wang WJ, Du LB, Xu HF, Cao HL, Zhang X, Shi JH, Zhao YQ, Liu YY, Huang JX, Cao J, Fan YP, Feng CY, Zhu Q, Du JC, Wang XH, Zhang SK, Qiao YL. Out-of-pocket medical expenditure and associated factors of advanced colorectal cancer in China: a multi-center cross-sectional study. ANNALS OF TRANSLATIONAL MEDICINE 2022; 10:356. [PMID: 35433986 PMCID: PMC9011322 DOI: 10.21037/atm-22-1001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 03/18/2022] [Indexed: 11/16/2022]
Abstract
Background Colorectal cancer (CRC) causes a substantial disease burden in China. Information on the medical expenditure of CRC patients is critical for decision-makers to allocate medical resources reasonably, however, relevant data is limited in China, especially advanced CRC. The aim of this survey was to quantify the out-of-pocket medical expenditure of advanced CRC and explore associated factors. Methods A nation-wide, multi-center, cross-sectional survey was conducted from March 2020 to March 2021. Nineteen hospitals in seven geographical regions were selected by multi-stage stratified sampling. For each eligible CRC patient with stage III or IV disease in the selected hospitals, the socio-demographics, clinical information, and range of out-of-pocket medical expenditure data were collected based on patients’ self-reporting or medical records. Multivariable logistic analysis was used to explore associated factors of medical expenditure. All statistical analyses were conducted using SAS 9.4. Results The mean age of the 4,428 advanced CRC patients included was 59.5±11.6 years, 59.6% were male, and 80.1% of patients were in stage III or IV at the time of diagnosis. Besides, 57.2% of patients had an annual household income of less than 50,000 Chinese Yuan (CNY), 40.9% of patients had an out-of-pocket medical expenditure of 50,000–99,999 CNY. As for the affordability of medical expenditure, 33.2% could afford 50,000–99,999 CNY. Multivariate analysis showed that patients who were in the southern [odds ratio (OR): 1.63, 95% confidence interval (CI): 1.31–2.03] and southwestern (OR: 1.55, 95% CI: 1.25–1.93), were in stage III at the time of diagnosis (OR: 1.33, 95% CI: 1.13–1.57), visited three or more hospitals (OR: 1.26, 95% CI: 1.04–1.52), had sought cross-regional health care (OR: 1.60, 95% CI: 1.40–1.83), used genetic testing (OR: 1.26, 95% CI: 1.10–1.45) and targeted drugs (OR: 2.12, 95% CI: 1.79–2.51) had higher out-of-pocket medical expenditure. Conclusions Patients with advanced CRC had a high out-of-pocket medical expenditure. It is necessary to strengthen the prevention and control of CRC to reduce the disease burden; also, it is critical to deepen the reform of the medical system, increase proportion of medical insurance reimbursement, and remove barriers to cross-regional health care.
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Affiliation(s)
- Hong Wang
- Department of Cancer Epidemiology, Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - Li Ma
- Public Health School, Dalian Medical University, Dalian, China
| | - Xiao-Fen Gu
- Department of Student Affairs, Affiliated Tumor Hospital, Xinjiang Medical University, Ürümqi, China
| | - Li Li
- Department of Clinical Research, The First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Wen-Jun Wang
- School of Nursing, Jining Medical University, Jining, China
| | - Ling-Bin Du
- Department of Cancer Prevention, The Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China
| | - Hui-Fang Xu
- Department of Cancer Epidemiology, Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - He-Lu Cao
- Department of Preventive Health, Xinxiang Central Hospital, Xinxiang, China
| | - Xi Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ji-Hai Shi
- The Clinical Epidemiology of Research Center, Department of Dermatological, The First Affiliated Hospital of Baotou Medical College, Baotou, China
| | - Yu-Qian Zhao
- Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Yun-Yong Liu
- Liaoning Office for Cancer Control and Research, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, China
| | - Juan-Xiu Huang
- Department of Gastroenterology, Wuzhou Red Cross Hospital, Wuzhou, China
| | - Ji Cao
- Department of Cancer Prevention and Control Office, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yan-Ping Fan
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Chang-Yan Feng
- Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, China
| | - Qian Zhu
- School of Public Health and Management, Chongqing Medical University, Chongqing, China
| | - Jing-Chang Du
- School of Public Health, Chengdu Medical College, Chengdu, China
| | - Xiao-Hui Wang
- Department of Public Health, Gansu Provincial Cancer Hospital, Lanzhou, China
| | - Shao-Kai Zhang
- Department of Cancer Epidemiology, Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China
| | - You-Lin Qiao
- Department of Cancer Epidemiology, Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, Henan Engineering Research Center of Cancer Prevention and Control, Henan International Joint Laboratory of Cancer Prevention, Zhengzhou, China.,Center for Global Health, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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A user-friendly objective prediction model in predicting colorectal cancer based on 234 044 Asian adults in a prospective cohort. ESMO Open 2021; 6:100288. [PMID: 34808523 PMCID: PMC8609147 DOI: 10.1016/j.esmoop.2021.100288] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 09/08/2021] [Accepted: 09/27/2021] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Prediction models of colorectal cancer (CRC) had limited application for not being user-friendly. Whether fecal immunochemical tests (FITs) can help predict CRC has been overlooked. PATIENTS AND METHODS With 1972 CRCs identified, 234 044 adults aged ≥40 years were successively enrolled between 1994 and 2008. Prediction models were developed by questionnaire/medical screening and quantitative FIT. NNS (number needed to scope to find one cancer) is time dependent, spanning entire study period. Significant 'risk factors' were family history, body mass index, smoking, drinking, inactivity, hypertension, diabetes, carcinoembryonic antigen, and C-reactive protein. RESULTS Positive FIT (≥20 μg/g hemoglobin/feces) had cancer risk 10-fold larger than negative FIT, and within each age group, another 10-fold difference. The C statistic of FIT (0.81) with age and sex alone was superior to the 'common risk-factors' model (0.73). NNS, stratified by age and by FIT values, demonstrated a scorecard of cancer risks, like 1/15 or 1/25, in 5 years. When FIT was negative, cancer risk was small (1/750-1/3000 annually). The larger the FIT, the sooner the appearance of CRC. For every 80-μg/g increase of FIT, there were 1.5-year earlier development of CRC incidence and 1-year earlier development of CRC mortality, respectively. Given the same FIT value, CRC events appeared in the proximal colon sooner than the distal colon. CONCLUSIONS A simple user-friendly model based on a single FIT value to predict CRC risk was developed. When positive, NNS offered a simple quantitative value, with a better precision than most risk factors, even combined. When FIT is negative, risk is very small, but requiring a repeat every other year to rule out false negative. FIT values correlated well with CRC prognosis, with worst for proximal CRC.
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9
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Shen J, Wu Y, Feng X, Liang F, Mo M, Cai B, Zhou C, Wang Z, Zhu M, Cai G, Zheng Y. Assessing Individual Risk for High-Risk Early Colorectal Neoplasm for Pre-Selection of Screening in Shanghai, China: A Population-Based Nested Case-Control Study. Cancer Manag Res 2021; 13:3867-3878. [PMID: 34012295 PMCID: PMC8126801 DOI: 10.2147/cmar.s301185] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Accepted: 04/02/2021] [Indexed: 01/08/2023] Open
Abstract
Objective To identify people with high-risk early colorectal neoplasm is highly desirable for pre-selection in colorectal cancer (CRC) screening in low-resource countries. We aim to build and validate a risk-based model so as to improve compliance and increase the benefits of screening. Patients and Methods Using data from the Shanghai CRC screening cohort, we conducted a population-based nested case–control study to build a risk-based model. Cases of early colorectal neoplasm were extracted as colorectal adenomas and stage 0-I CRC. Each case was matched with five individuals without neoplasm (controls) by the screening site and year of enrollment. Cases and controls were then randomly divided into two groups, with two thirds for building the risk prediction model and the other one third for model validation. Known risk factors were included for risk prediction models using logistic regressions. The area under the receiver operating characteristic curve (AUC) and Hosmer–Lemeshow chi-square statistics were used to evaluate model discrimination and calibration. The predicted individual risk probability was calculated under the risk regression equation. Results The model incorporating age, sex, family history and lifestyle factors including body mass index (BMI), smoking status, alcohol, regular moderate-to-intensity physical activity showed good calibration and discrimination. When the risk cutoff threshold was defined as 17%, the sensitivity and specificity of the model were 63.99% and 53.82%, respectively. The validation data analysis also showed well discrimination. Conclusion A risk prediction model combining personal and lifestyle factors was developed and validated for high-risk early colorectal neoplasm among the Chinese population. This risk-based model could improve the pre-selection for screening and contribute a lot to efficient population-based screening in low-resource countries.
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Affiliation(s)
- Jie Shen
- Department of Cancer Prevention, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Yiling Wu
- Department of Noninfectious Chronic Disease Control and Prevention, Songjiang District Center for Disease Control and Prevention, Shanghai, People's Republic of China
| | - Xiaoshuang Feng
- Department of Cancer Prevention, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Fei Liang
- Department of Biostatistics, Zhongshan Hospital Fudan University, Shanghai, People's Republic of China
| | - Miao Mo
- Department of Cancer Prevention, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Binxin Cai
- Department of Noninfectious Chronic Disease Control and Prevention, Songjiang District Center for Disease Control and Prevention, Shanghai, People's Republic of China
| | - Changming Zhou
- Department of Cancer Prevention, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Zezhou Wang
- Department of Cancer Prevention, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Meiying Zhu
- Department of Noninfectious Chronic Disease Control and Prevention, Songjiang District Center for Disease Control and Prevention, Shanghai, People's Republic of China
| | - Guoxiang Cai
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China.,Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China
| | - Ying Zheng
- Department of Cancer Prevention, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
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10
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Bertels L, Lucassen P, van Asselt K, Dekker E, van Weert H, Knottnerus B. Motives for non-adherence to colonoscopy advice after a positive colorectal cancer screening test result: a qualitative study. Scand J Prim Health Care 2020; 38:487-498. [PMID: 33185121 PMCID: PMC7781896 DOI: 10.1080/02813432.2020.1844391] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
SETTING Participants with a positive faecal immunochemical test (FIT) in screening programs for colorectal cancer (CRC) have a high risk for colorectal cancer and advanced adenomas. They are therefore recommended follow-up by colonoscopy. However, more than ten percent of positively screened persons do not adhere to this advice. OBJECTIVE To investigate FIT-positive individuals' motives for non-adherence to colonoscopy advice in the Dutch CRC screening program. SUBJECTS Non-adherent FIT-positive participants of the Dutch CRC screening program. DESIGN We conducted semi structured in-depth interviews with 17 persons who did not undergo colonoscopy within 6 months after a positive FIT. Interviews were undertaken face-to-face and data were analysed thematically with open coding and constant comparison. RESULTS All participants had multifactorial motives for non-adherence. A preference for more personalised care was described with the following themes: aversion against the design of the screening program, expectations of personalised care, emotions associated with experiences of impersonal care and a desire for counselling where options other than colonoscopy could be discussed. Furthermore, intrinsic motives were: having a perception of low risk for CRC (described by all participants), aversion and fear of colonoscopy, distrust, reluctant attitude to the treatment of cancer and cancer fatalism. Extrinsic motives were: having other health issues or priorities, practical barriers, advice from a general practitioner (GP) and financial reasons. CONCLUSION Personalised screening counselling might have helped to improve the interviewees' experiences with the screening program as well as their knowledge on CRC and CRC screening. Future studies should explore whether personalised screening counselling also has potential to increase adherence rates. Key points Participants with a positive FIT in two-step colorectal cancer (CRC) screening programs are at high risk for colorectal cancer and advanced adenomas. Non-adherence after an unfavourable screening result happens in all CRC programs worldwide with the consequence that many of the participants do not undergo colonoscopy for the definitive assessment of the presence of colorectal cancer. Little qualitative research has been done to study the reasons why individuals participate in the first step of the screening but not in the second step. We found a preference for more personalised care, which was not reported in previous literature on this subject. Furthermore, intrinsic factors, such as a low risk perception and distrust, and extrinsic factors, such as the presence of other health issues and GP advice, may also play a role in non-adherence. A person-centred approach in the form of a screening counselling session may be beneficial for this group of CRC screening participants.
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Affiliation(s)
- Lucinda Bertels
- Department of General Practice, Cancer Center Amsterdam, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Department of Socio-Medical Sciences, Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands
- CONTACT Lucinda Bertels , .Department of General Practice, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; Erasmus School of Health Policy & Management, Rotterdam
| | - Peter Lucassen
- Department of Primary and Community Care, Radboud University Medical Centre, Radboud Institute for Health Sciences, Nijmegen, The Netherlands
| | - Kristel van Asselt
- Department of General Practice, Cancer Center Amsterdam, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Evelien Dekker
- Department of Gastroenterology and Hepatology, Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Henk van Weert
- Department of General Practice, Cancer Center Amsterdam, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Bart Knottnerus
- Department of General Practice, Cancer Center Amsterdam, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Netherlands Institute for Health Services Research (Nivel), Utrecht, The Netherlands
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11
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Cooper JA, Ryan R, Parsons N, Stinton C, Marshall T, Taylor-Phillips S. The use of electronic healthcare records for colorectal cancer screening referral decisions and risk prediction model development. BMC Gastroenterol 2020; 20:78. [PMID: 32213167 PMCID: PMC7093989 DOI: 10.1186/s12876-020-01206-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Accepted: 02/24/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The database used for the NHS Bowel Cancer Screening Programme (BCSP) derives participant information from primary care records. Combining predictors with FOBTs has shown to improve referral decisions and accuracy. The richer data available from GP databases could be used to complement screening referral decisions by identifying those at greatest risk of colorectal cancer. We determined the availability of data for key predictors and whether this information could be used to inform more accurate screening referral decisions. METHODS An English BCSP cohort was derived using the electronic notifications received from the BCSP database to GP records. The cohort covered a period between 13th May 2009 to 17th January 2017. Completeness of variables and univariable associations were assessed. Risk prediction models were developed using Cox regression and multivariable fractional polynomials with backwards elimination. Optimism adjusted performance metrics were reported. The sensitivity and specificity of a combined approach using the negative FOBT model plus FOBT positive patients was determined using a probability equivalent to a 3% PPV NICE guidelines level. RESULTS 292,059 participants aged 60-74 were derived for the BCSP screening cohort. A model including the screening test result had a C-statistic of 0.860, c-slope of 0.997, and R2 of 0.597. A model developed for negative screening results only had a C-statistic of 0.597, c-slope of 0.940, and R2 of 0.062. Risk predictors included in the models included; age, sex, alcohol consumption, IBS diagnosis, family history of gastrointestinal cancer, smoking status, previous negatives and whether a GP had ordered a blood test. For the combined screening approach, sensitivity increased slightly from 53.90% (FOBT only) to 58.82% but at the expense of an increased referral rate. CONCLUSIONS This research has identified several potential predictors for CRC in a BCSP population. A risk prediction model developed for BCSP FOBT negative patients was not clinically useful due to a low sensitivity and increased referral rate. The predictors identified in this study should be investigated in a refined algorithm combining the quantitative FIT result. Combining data from multiple sources enables fuller patient profiles using the primary care and screening database interface.
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Affiliation(s)
- Jennifer Anne Cooper
- Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK.
| | - Ronan Ryan
- Institute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK
| | - Nick Parsons
- Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK
| | - Chris Stinton
- Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK
| | - Tom Marshall
- Institute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK
| | - Sian Taylor-Phillips
- Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, CV4 7AL, UK
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12
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Fang Y, Xiao B, Peng J, Tian H, Wang F, Kong L, Lin S, Li J, Su Q, Luo K, Ye M, Ou Q, Fan W, Li C, Lin J, Zhang R, Zhou W, Li L, Chen G, Lu Z, Wu X, Ding P, Zheng M, Yang X, Pan Z, Wan D. An early report of a screening program for colorectal cancer in Guangzhou, China. ANNALS OF TRANSLATIONAL MEDICINE 2019; 7:604. [PMID: 32047765 DOI: 10.21037/atm.2019.09.75] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background We launched a screening program for colorectal cancer (CRC) in Yuexiu District, Guangzhou, China, in 2014. Here we aimed to report the early results of the program and evaluate the benefits of a screening questionnaire. Methods Residents aged between 50 and 74 were eligible for the screening. A questionnaire and two consecutive fecal immunological tests (FITs) were used as primary screening methods. Subjects who were positive for any of the two tests were referred for further examination with colonoscopy. Neoplasms were removed either colonoscopically or by colectomy. Atypical adenoma and CRC were defined as advanced neoplasms. Results A total of 6,971 residents in Dadong Street, Yuexiu District were screened with a questionnaire, and among them, 5,343 underwent at least one FIT. Four thousand and two hundred eleven (60.4%) were female, and 2,760 (39.6%) were male, with a median age of 62.0 years. Questionnaire and FITs identified 1,219 candidates for further examination with colonoscopy, among whom only 647 (53.1%) comply. As of this writing, 623 colonoscopy results were obtained, among which 270 (43.3%) had positive findings. The adenoma detection rate (ADR) was 43.3% (270/623). The ADR was 43.3% (270/623). Of the 270 patients, 10 (3.07%) had CRC, 81 (30.0%) had advanced adenoma, 178 had low-grade adenoma or other benign polyps, one had carcinoid. Except for three advanced CRC, all neoplasms detected were benign or in an early stage. Conclusions Our screening program help identified patients with colonic neoplasms at an early stage, precluding them from developing into the malignant disease. The addition of the questionnaire significantly increased the sensitivity of primary screening, while also decreasing the specificity. Long-term results should evaluate the social and economic benefits of this program.
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Affiliation(s)
- Yujing Fang
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China
| | - Binyi Xiao
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China
| | - Jianhong Peng
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China
| | - Huan Tian
- Dadong Street Community Health Service Center, Guangzhou 510000, China
| | - Fulong Wang
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China
| | - Lingheng Kong
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China
| | - Shiyong Lin
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China
| | - Jibin Li
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China
| | - Qiying Su
- Dadong Street Community Health Service Center, Guangzhou 510000, China
| | - Kunwu Luo
- Dadong Street Community Health Service Center, Guangzhou 510000, China
| | - Meixian Ye
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China
| | - Qingjian Ou
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China
| | - Wenhua Fan
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China
| | - Cong Li
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China
| | - Junzhong Lin
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China
| | - Rongxin Zhang
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China
| | - Wenhao Zhou
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China
| | - Liren Li
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China
| | - Gong Chen
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China
| | - Zhenhai Lu
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China
| | - Xiaojun Wu
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China
| | - Peirong Ding
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China
| | - Meichun Zheng
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China
| | - Xia Yang
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China
| | - Zhizhong Pan
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China
| | - Desen Wan
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou 510060, China
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13
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Wu JY, Chen DF, Liu TY, Dong WX, Liu X, Wang SN, Xie RX, Liu WT, Wang BM, Cao HL. Reevaluation of a rightward shift in colorectal cancer: A single-center retrospective study in Tianjin. J Dig Dis 2019; 20:532-538. [PMID: 31390161 DOI: 10.1111/1751-2980.12812] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Revised: 07/25/2019] [Accepted: 08/04/2019] [Indexed: 12/24/2022]
Abstract
OBJECTIVES Some Western reports have shown a proximal shift in colorectal cancer (CRC), but there are few studies in China. This study aimed to provide more information for the management and screening of CRC by investigating trends in the anatomic distribution of CRC among the Chinese population in recent years. METHODS A retrospective study was conducted on patients with CRC admitted to the Digestive Endoscopy Center of Tianjin Medical University General Hospital between January 2000 and December 2017. Patients were divided into a left-sided colorectal cancer (LSCRC) group and a right-sided colon cancer (RSCC) group. The detection rates of LSCRC and RSCC based on patients' age and sex, and on the time periods were analyzed. RESULTS A total of 2319 cases were diagnosed with CRC among 75 183 consecutive patients. The prevalence of CRC showed a significant reduction from 2000-2008 to 2009-2017 (3.8% vs 2.7%, P < .001). The proportion of RSCC presented a downtrend from 2000-2008 to 2009-2017 (40.6% vs 37.7%, P > .05). There were slightly more RSCCs in female patients than in male patients, with no significant difference (40.9% vs 36.5%, P > .05). The proportion of RSCC in patients aged ≥50 years was similar to that in younger patients. The alarming symptoms between LSCRC and RSCC showed a significant difference (P < .05). CONCLUSIONS In the present study, the prevalence of CRC declined significantly with time. However, there did not appear to be a rightward shift in CRC among the patients in Tianjin over the past 18 years.
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Affiliation(s)
- Jing Yi Wu
- Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin Institute of Digestive Disease, Tianjin, China
| | - Dan Feng Chen
- Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin Institute of Digestive Disease, Tianjin, China
| | - Tian Yu Liu
- Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin Institute of Digestive Disease, Tianjin, China
| | - Wen Xiao Dong
- Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin Institute of Digestive Disease, Tianjin, China
| | - Xiang Liu
- Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin Institute of Digestive Disease, Tianjin, China
| | - Si Nan Wang
- Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin Institute of Digestive Disease, Tianjin, China
| | - Run Xiang Xie
- Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin Institute of Digestive Disease, Tianjin, China
| | - Wen Tian Liu
- Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin Institute of Digestive Disease, Tianjin, China
| | - Bang Mao Wang
- Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin Institute of Digestive Disease, Tianjin, China
| | - Hai Long Cao
- Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin Institute of Digestive Disease, Tianjin, China
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14
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Park CH, Jung YS, Kim NH, Park JH, Park DI, Sohn CI. Usefulness of risk stratification models for colorectal cancer based on fecal hemoglobin concentration and clinical risk factors. Gastrointest Endosc 2019; 89:1204-1211.e1. [PMID: 30817918 DOI: 10.1016/j.gie.2019.02.023] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 02/09/2019] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND AIMS We aimed to develop risk stratification models for advanced colorectal neoplasia (ACRN) and colorectal cancer (CRC) based on fecal hemoglobin (f-Hb) concentration and clinical risk factors. METHODS We reviewed screenees aged ≥50 years who underwent fecal immunochemical test (FIT) and colonoscopy and developed risk-scoring models for ACRN and CRC using logistic regression analysis. Participants were classified into low- (risk lower than that in FIT-negative individuals), intermediate- (risk higher than that in FIT-negative but lower than that in FIT-positive individuals), high- (risk similar to that in FIT-positive individuals), and very-high- (risk higher than that in FIT-positive individuals) risk groups. RESULTS Of 3733 participants, 367 (9.8%) and 70 (1.9%) had ACRN and CRC, respectively. On multivariable analysis, age (ß = .043/y), former smoker (ß = .401), current smoker (ß = .841), diabetes (ß = .097), and square root of f-Hb concentration (ß = .071) were significantly associated with ACRN. In terms of CRC, age (ß = .035/y) and square root of f-Hb concentration (ß = .004) were associated factors. After point assignments based on the regression coefficient, we could classify screenees as low-, intermediate-, high-, and very-high-risk groups. ACRN was identified in 2.9%, 5.3%, 16.2%, and 35.7% of screenees in the low-, intermediate-, high-, and very-high-risk groups, respectively. CRC was identified in .1%, .5%, 3.9%, and 11.1% of screenees in the low-, intermediate-, high-, and very-high-risk groups, respectively. CONCLUSIONS The proposed models can effectively stratify the risk for ACRN and CRC and provide accurate information on this risk in individuals who undergo FIT.
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Affiliation(s)
- Chan Hyuk Park
- Department of Internal Medicine, Hanyang University Guri Hospital, Hanyang University College of Medicine, Seoul, Korea
| | - Yoon Suk Jung
- Division of Gastroenterology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Nam Hee Kim
- Preventive Health Care, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jung Ho Park
- Division of Gastroenterology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Dong Il Park
- Division of Gastroenterology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Chong Il Sohn
- Division of Gastroenterology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
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