Literature DB >> 24390885

Colorectal cancer predicted risk online (CRC-PRO) calculator using data from the multi-ethnic cohort study.

Brian J Wells1, Michael W Kattan, Gregory S Cooper, Leila Jackson, Siran Koroukian.   

Abstract

BACKGROUND: Better risk predictions for colorectal cancer (CRC) could improve prevention strategies by allowing clinicians to more accurately identify high-risk individuals. The National Cancer Institute's CRC risk calculator was created by Freedman et al using case control data.
METHODS: An online risk calculator was created using data from the Multi-Ethnic Cohort Study, which followed >180,000 patients for the development of CRC for up to 11.5 years through linkage with cancer registries. Forward stepwise regression tuned to the c statistic was used to select the most important variables for use in separate Cox survival models for men and women. Model accuracy was assessed using 10-fold cross-validation.
RESULTS: Patients in the cohort experienced 2762 incident cases of CRC. The final model for men contained age, ethnicity, pack-years of smoking, alcoholic drinks per day, body mass index, years of education, regular use of aspirin, family history of colon cancer, regular use of multivitamins, ounces of red meat intake per day, history of diabetes, and hours of moderate physical activity per day. The final model for women included age, ethnicity, years of education, use of estrogen, history of diabetes, pack-years of smoking, family history of colon cancer, regular use of multivitamins, body mass index, regular use of nonsteroidal anti-inflammatory drugs, and alcoholic drinks per day. The calculator demonstrated good accuracy with a cross-validated c statistic of 0.681 in men and 0.679 in women, and it seems to be well calibrated graphically. An electronic version of the calculator is available at http://rcalc.ccf.org.
CONCLUSION: This calculator seems to be accurate, is user friendly, and has been internally validated in a diverse population.

Entities:  

Keywords:  Colorectal Cancer; Medical Decision Making; Prevention and Control; Risk

Mesh:

Year:  2014        PMID: 24390885      PMCID: PMC4219857          DOI: 10.3122/jabfm.2014.01.130040

Source DB:  PubMed          Journal:  J Am Board Fam Med        ISSN: 1557-2625            Impact factor:   2.657


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4.  Aspirin as an adjunct to screening for prevention of sporadic colorectal cancer. A cost-effectiveness analysis.

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8.  A multiethnic cohort in Hawaii and Los Angeles: baseline characteristics.

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2.  External Validation of Risk Prediction Models Incorporating Common Genetic Variants for Incident Colorectal Cancer Using UK Biobank.

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5.  Lay beliefs about risk: relation to risk behaviors and to probabilistic risk perceptions.

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7.  A Risk Prediction Index for Advanced Colorectal Neoplasia at Screening Colonoscopy.

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Authors:  Boris Birmaher; John A Merranko; Tina R Goldstein; Mary Kay Gill; Benjamin I Goldstein; Heather Hower; Shirley Yen; Danella Hafeman; Michael Strober; Rasim S Diler; David Axelson; Neal D Ryan; Martin B Keller
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10.  Predicting advanced neoplasia at colonoscopy in a diverse population with the National Cancer Institute colorectal cancer risk-assessment tool.

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