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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
biochemistry, genetics and molecular biology
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
Cancer, Volume 124, No. 13, Year 2018
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Description
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.
Authors & Co-Authors
Alatise, Olusegun Isaac
Nigeria, Ife
Obafemi Awolowo University Teaching Hospitals Complex
United States, New York
Surgeons Overseas
Ayandipo, Omobolaji Oladayo
Nigeria, Ibadan
University College Hospital, Ibadan
Adeyeye, Ademola A.
Nigeria, Ilorin
University of Ilorin
Seier, Ken
United States, New York
Memorial Sloan-kettering Cancer Center
Komolafe, Akinwumi Oluwole
Nigeria, Ife
Obafemi Awolowo University Teaching Hospitals Complex
Bojuwoye, Matthew Olumuyiwa
Nigeria, Ilorin
University of Ilorin
Afuwape, Oludolapo Olawumi
Nigeria, Ibadan
University College Hospital, Ibadan
Zauber, Ann Graham
United States, New York
Memorial Sloan-kettering Cancer Center
Omisore, Adeleye Dorcas
Nigeria, Ife
Obafemi Awolowo University Teaching Hospitals Complex
Olatoke, Samuel Adegboyega
Nigeria, Ilorin
University of Ilorin
Akere, Adegboyega
Nigeria, Ibadan
University College Hospital, Ibadan
Famurewa, Olusola Comfort
Nigeria, Ife
Obafemi Awolowo University Teaching Hospitals Complex
Gönen, Mithat
United States, New York
Memorial Sloan-kettering Cancer Center
Irabor, David Omoareghan
Nigeria, Ibadan
University College Hospital, Ibadan
Kingham, Thomas Peter
United States, New York
Surgeons Overseas
United States, New York
Memorial Sloan-kettering Cancer Center
Statistics
Citations: 15
Authors: 15
Affiliations: 5
Identifiers
Doi:
10.1002/cncr.31399
ISSN:
0008543X
e-ISSN:
10970142
Research Areas
Cancer
Health System And Policy
Study Design
Cross Sectional Study
Cohort Study
Case-Control Study
Study Approach
Quantitative