ArticleCancer medicine2020
Risk prediction model for lung cancer incorporating metabolic markers: Development and internal validation in a Chinese population.
Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Cost-effectiveness of risk model-based lung cancer screening in smokers and nonsmokers in China.BMC medicine · 2025Article
- Differentiating Pulmonary Nodule Malignancy Using Exhaled Volatile Organic Compounds: A Prospective Observational Study.Cancer medicine · 2025Observational
- [Research Progress on Tumor Metabolic Biomarkers in Liquid Biopsy of Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2024Review
- Prognostic significance of globulin/low-density lipoprotein ratio in patients with hepatocellular carcinoma after local ablative therapy: a retrospective cohort study.Translational cancer research · 2023Article
- Lung cancer risk score for ever and never smokers in China.Cancer communications (London, England) · 2023Article
- Development and validation of a nomogram model for lung cancer based on radiomics artificial intelligence score and clinical blood test data.Frontiers in oncology · 2023Article
- Development and Validation of the Random Forest Model via Combining CT-PET Image Features and Demographic Data for Distant Metastases among Lung Cancer Patients.Journal of healthcare engineering · 2022Article
- Risk-based prediction model for selecting eligible population for lung cancer screening among ever smokers in Korea.Translational lung cancer research · 2021Article
- The roles of risk model based on the 3-XRCC genes in lung adenocarcinoma progression.Translational cancer research · 2021Article
- Construction and Validation of a Lung Cancer Risk Prediction Model for Non-Smokers in China.Frontiers in oncology · 2021Article
- Risk prediction model for lung cancer incorporating metabolic markers: Development and internal validation in a Chinese population.Cancer medicine · 2020Article
- Construction and Validation of Early Warning Model of Lung Cancer Based on Machine Learning: A Retrospective Study.Technology in cancer research & treatmentArticle
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Authors and funding
18 authors.
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Abstract
backgroundLow-dose computed tomography screening has been proved to reduce lung cancer mortality, however, the issues of high false-positive rate and overdiagnosis remain unsolved. Risk prediction models for lung cancer that could accurately identify high-risk populations may help to increase efficiency. We thus sought to develop a risk prediction model for lung cancer incorporating epidemiological and metabolic markers in a Chinese population.
methodsDuring 2006 and 2015, a total of 122 497 people were observed prospectively for lung cancer incidence with the total person-years of 976 663. Stepwise multivariable-adjusted logistic regressions with P
resultsA total of 984 lung cancer cases were identified during the follow-up. The epidemiological model including age, gender, smoking status, alcohol intake status, coal dust exposure status, and body mass index generated a C-statistic of 0.731. The full model additionally included hsCRP and LDL-C showed significantly better discrimination (C-statistic = 0.735, P = .033). In stratified analysis, the full model showed better predictive power in terms of C-statistic in younger participants (<50 years, 0.709), females (0.726), and former or current smokers (0.742). The model calibrated well across the deciles of predicted risk in both the overall population (P
conclusionsWe developed and internally validated an easy-to-use risk prediction model for lung cancer among the Chinese population that could provide guidance for screening and surveillance.
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