ArticleCancer2018
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.
Article in Cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 21 citations in OpenAlex.
- Collagen disorder architecture features are associated with clinical, molecular, genetic factors and survival outcomes in colon cancer.NPJ precision oncology · 2025Article
- The African Research Group for Oncology: A decade fostering colorectal cancer research in Nigeria.Journal of surgical oncology · 2023Review
- The performance of FIT-based and other risk prediction models for colorectal neoplasia in symptomatic patients: a systematic review.EClinicalMedicine · 2023Review
- Development and Validation of Risk Prediction Models for Colorectal Cancer in Patients with Symptoms.Journal of personalized medicine · 2023Article
- Identification of urinary biomarkers of colorectal cancer: Towards the development of a colorectal screening test in limited resource settings.Cancer biomarkers : section A of Disease markers · 2023Article
- Designing a Predictive Model for Colorectal Neoplasia Diagnosis Based on Clinical and Laboratory Findings in Colonoscopy Candidate Patients.Journal of gastrointestinal cancer · 2022Article
- Colon and Rectal Cancer Management in Low-Resource Settings.Clinics in colon and rectal surgery · 2022Review
- High-burden Cancers in Middle-income Countries: A Review of Prevention and Early Detection Strategies Targeting At-risk Populations.Cancer prevention research (Philadelphia, Pa.) · 2021Review
- Article
- Feasibility and performance of the fecal immunochemical test (FIT) for average-risk colorectal cancer screening in Nigeria.PloS one · 2021Article
- Treatment of colorectal cancer in Sub-Saharan Africa: Results from a prospective Nigerian hospital registry.Journal of surgical oncology · 2020Article
- An Exploratory Analysis of Fecal Immunochemical Test Performance for Colorectal Cancer Screening in Nigeria.World journal of surgery · 2019Article
- Is Colorectal Cancer Screening Appropriate in Nigeria?Journal of global oncology · 2019Review
Corrections and comments
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Authors and funding
15 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundColorectal 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.
methodsThis 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.
resultsConsecutive 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).
conclusionsIn 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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.