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Latent class analysis-derived classification improves the cancer-specific death Risk Stratification of Lung Cancer

2026-06-19

Abstract excerpt

<title>Abstract</title> <p>Lung cancer patients show substantial heterogeneity in prognosis and treatment response. Competing risks can be an issue. This study aimed to use latent class analysis (LCA) based on clinical characteristics to improve LC-specific mortality prediction and optimize treatment recommendations. A total of 74,107 lung cancer patients (development set) and 112,976 patients (validation set) we...

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Literature Corpus work
b08d2213-8a4f-5edb-8a65-01d907e5ff40
DOI
10.21203/rs.3.rs-9758989/v1
Open publication

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Latent class analysis-derived classification improves the cancer-specific death Risk Stratification of Lung CancerDOI 10.21203/rs.3.rs-9758989/v1
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