ArticleEpidemiology and health2022
Prediction of cancer survivors' mortality risk in Korea: a 25-year nationwide prospective cohort study.
Article in Epidemiology and health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Sex Disparity in Cancer and Non-cancer Mortality among Korean Cancer Survivors.Journal of cancer prevention · 2025Article
- A comparative study of health behaviors in adult male cancer survivors and the general male population in Korea: from the Korea national health and nutrition examination survey VII-VIII (2016-2021).Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- COVID-19 Mortality and Severity in Cancer Patients and Cancer Survivors.Journal of Korean medical science · 2024Article
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Authors and funding
6 authors.
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Abstract
objectivesThis study aimed to investigate the factors affecting cancer survival and develop a mortality prediction model for Korean cancer survivors. Our study identified lifestyle and mortality risk factors and attempted to determine whether health-promoting lifestyles affect mortality.
methodsAmong the 1,637,287 participants in the Korean Cancer Prevention Study (KCPS) cohort, 200,834 cancer survivors who were alive after cancer diagnosis were analyzed. Discrimination and calibration for predicting the 10-year mortality risk were evaluated. A prediction model was derived using the Cox model coefficients, mean risk factor values, and mean mortality from the cancer survivors in the KCPS cohort.
resultsDuring the 21.6-year follow-up, the all-cause mortality rates of cancer survivors were 57.2% and 39.4% in men and women, respectively. Men, older age, current smoking, and a history of diabetes were high-risk factors for mortality, while exercise habits and a family history of cancer were associated with reduced risk. The prediction model discrimination in the validation dataset for both KCPS all-cause mortality and KCPS cancer mortality was shown by C-statistics of 0.69 and 0.68, respectively. Based on the constructed prediction models, when we modified exercise status and smoking status, as modifiable factors, the cancer survivors' risk of mortality decreased linearly.
conclusionsA mortality prediction model for cancer survivors was developed that may be helpful in supporting a healthy life. Lifestyle modifications in cancer survivors may affect their risk of mortality in the future.
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