ArticlePloS one2014
Risk prediction model for colorectal cancer: National Health Insurance Corporation study, Korea.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 6 of them syntheses that pooled it.
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Who cites it
27 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- The association between serum lipid levels and colorectal cancer risk: A dose-response meta-analysis of 23 studies.PloS one · 2025Pooled it
- Relationship between serum lipid level and colorectal cancer: a systemic review and meta-analysis.BMJ open · 2022Pooled it
- Adult-Attained Height and Colorectal Cancer Risk: A Cohort Study, Systematic Review, and Meta-Analysis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022Pooled it
- Pooled it
- Height and body fatness and colorectal cancer risk: an update of the WCRF-AICR systematic review of published prospective studies.European journal of nutrition · 2018Pooled it
- Risk Prediction Models for Colorectal Cancer: A Systematic Review.Cancer prevention research (Philadelphia, Pa.) · 2016Pooled it
- Lifestyle predictors of colorectal cancer in European populations: a systematic review.BMJ nutrition, prevention & health · 2024Article
- Five-year absolute risk estimates of colorectal cancer based on CCRAT model and polygenic risk scores: A validation study using the Quebec population-based cohort CARTaGENE.Preventive medicine reports · 2022Article
- Patient-Level Cancer Prediction Models From a Nationwide Patient Cohort: Model Development and Validation.JMIR medical informatics · 2021Article
- Development and validation of a lifestyle-based model for colorectal cancer risk prediction: the LiFeCRC score.BMC medicine · 2021Article
- Prediction of Lifetime and 10-Year Risk of Cancer in Individual Patients With Established Cardiovascular Disease.JACC. CardioOncology · 2020Article
- A New Comprehensive Colorectal Cancer Risk Prediction Model Incorporating Family History, Personal Characteristics, and Environmental Factors.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020Article
- A Preoperative Risk Prediction Model for Lymph Node Examination of Stage I-III Colon Cancer Patients: A Population-Based Study.Journal of Cancer · 2020Article
- Protective Effect of Green Tea Consumption on Colorectal Cancer Varies by Lifestyle Factors.Nutrients · 2019Article
- Development of a colorectal cancer diagnostic model and dietary risk assessment through gut microbiome analysis.Experimental & molecular medicine · 2019Article
- Chemoprevention of Colorectal Cancer by Dietary Compounds.International journal of molecular sciences · 2018Review
- Spatially varying effects of predictors for the survival prediction of nonmetastatic colorectal Cancer.BMC cancer · 2018Article
- Lifestyle Risk Prediction Model for Prostate Cancer in a Korean Population.Cancer research and treatment · 2018Article
- [Multiple risk factors prediction models for high risk population of colorectal cancer].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2018Article
- A prediction model for advanced colorectal neoplasia in an asymptomatic screening population.PloS one · 2017Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeIncidence and mortality rates of colorectal cancer have been rapidly increasing in Korea during last few decades. Development of risk prediction models for colorectal cancer in Korean men and women is urgently needed to enhance its prevention and early detection.
methodsGender specific five-year risk prediction models were developed for overall colorectal cancer, proximal colon cancer, distal colon cancer, colon cancer and rectal cancer. The model was developed using data from a population of 846,559 men and 479,449 women who participated in health examinations by the National Health Insurance Corporation. Examinees were 30-80 years old and free of cancer in the baseline years of 1996 and 1997. An independent population of 547,874 men and 415,875 women who participated in 1998 and 1999 examinations was used to validate the model. Model validation was done by evaluating its performance in terms of discrimination and calibration ability using the C-statistic and Hosmer-Lemeshow-type chi-square statistics.
resultsAge, body mass index, serum cholesterol, family history of cancer, and alcohol consumption were included in all models for men, whereas age, height, and meat intake frequency were included in all models for women. Models showed moderately good discrimination ability with C-statistics between 0.69 and 0.78. The C-statistics were generally higher in the models for men, whereas the calibration abilities were generally better in the models for women.
conclusionsColorectal cancer risk prediction models were developed from large-scale, population-based data. Those models can be used for identifying high risk groups and developing preventive intervention strategies for colorectal cancer.
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