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• W2797478059 abstract "BACKGROUND Colorectal cancer (CRC) rates in low‐resource countries, which typically lack CRC screening programs, are rising. This study determined whether a risk model for patients with rectal bleeding could identify patients with curable CRC. METHODS This prospective, cross‐sectional study evaluated a model constructed from data from 1 hospital and validated at 2 other hospitals. The primary endpoint was the ability of the model to predict CRC, as diagnosed by colonoscopy, from clinical characteristics. The secondary endpoint was to determine the percentage of patients who had CRC. RESULTS Consecutive patients who were 45 years old or older and had self‐reported rectal bleeding for more than 1 week were evaluated. From January 2014 to July 2016, 362 patients answered a questionnaire and underwent colonoscopy. In the validation cohort, 56% of patients with rectal bleeding, weight loss, and changes in bowel habits had CRC, whereas 2% of patients with bleeding alone did. Overall, 18.2% of the patients had CRC, and 8.6% had adenomas. The proportion of CRC patients with potentially curable stage II or III disease was 74%, whereas the historical rate was 36%. The combination of rectal bleeding with both symptoms significantly predicted CRC in the validation set (odds ratio, 12.8; 95% confidence interval, 4.6‐35.4; P < .001). CONCLUSIONS In low‐resource settings, patients with rectal bleeding, weight loss, and changes in bowel habits should be classified as high risk for CRC. Patients with a high risk score should be prioritized for colonoscopy to increase the number of patients diagnosed with potentially curable CRC. Cancer 2018;124:2766‐2773 . © 2018 American Cancer Society" @default.
• W2797478059 created "2018-04-24" @default.
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• W2797478059 date "2018-04-12" @default.
• W2797478059 modified "2023-10-11" @default.
• W2797478059 title "A symptom‐based model to predict colorectal cancer in low‐resource countries: Results from a prospective study of patients at high risk for colorectal cancer" @default.
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• W2797478059 doi "https://doi.org/10.1002/cncr.31399" @default.
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