ArticleCancers2021
Individual 5-Year Lung Cancer Risk Prediction Model in Korea Using a Nationwide Representative Database.
Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 4 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Risk prediction for lung cancer screening: a systematic review and meta-regression.European respiratory review : an official journal of the European Respiratory Society · 2026Pooled it
- Prediction models for early detection and diagnosis of lung cancer in people who have never smoked: a systematic review and critical appraisal.Cancer causes & control : CCC · 2026Pooled it
- Predictive performance of risk prediction models for lung cancer incidence in Western and Asian countries: a systematic review and meta-analysis.Scientific reports · 2025Pooled it
- Lung cancer occurrence after an episode of tuberculosis: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2022Pooled it
- Comparative analysis of lung cancer risk factors between never-smokers and heavy smokers: a nationwide population-based study in Korea.Translational lung cancer research · 2026Article
- Scars That Speak: Unraveling the Oncogenic Aftermath of Pulmonary Tuberculosis-A Narrative Review.Journal of clinical medicine · 2026Review
- Article
- Multiomics-Based Feature Extraction and Selection for the Prediction of Lung Cancer Survival.International journal of molecular sciences · 2024Article
- Lowering Barriers to Health Risk Assessments in Promoting Personalized Health Management.Journal of personalized medicine · 2024Article
- Increased Lung Cancer Risk and Associated Risk Factors in Tuberculosis Survivors: A Korean Population-Based Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023Article
- Risk factors for early-onset lung cancer in Korea: analysis of a nationally representative population-based cohort.Epidemiology and health · 2023Article
- Personalized 5-Year Prostate Cancer Risk Prediction Model in Korea Based on Nationwide Representative Data.Journal of personalized medicine · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Early detection of lung cancer by screening has contributed to reduce lung cancer mortality. Identifying high risk subjects for lung cancer is necessary to maximize the benefits and minimize the harms followed by lung cancer screening. In the present study, individual lung cancer risk in Korea was presented using a risk prediction model. Participants who completed health examinations in 2009 based on the Korean National Health Insurance (KNHI) database (DB) were eligible for the present study. Risk scores were assigned based on the adjusted hazard ratio (HR), and the standardized points for each risk factor were calculated to be proportional to the b coefficients. Model discrimination was assessed using the concordance statistic (c-statistic), and calibration ability assessed by plotting the mean predicted probability against the mean observed probability of lung cancer. Among candidate predictors, age, sex, smoking intensity, body mass index (BMI), presence of chronic obstructive pulmonary disease (COPD), pulmonary tuberculosis (TB), and type 2 diabetes mellitus (DM) were finally included. Our risk prediction model showed good discrimination (c-statistic, 0.810; 95% CI: 0.801-0.819). The relationship between model-predicted and actual lung cancer development correlated well in the calibration plot. When using easily accessible and modifiable risk factors, this model can help individuals make decisions regarding lung cancer screening or lifestyle modification, including smoking cessation.
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