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A Latent Class Analysis Based on Nutritional and Inflammatory Profiles Predicts Efficacy in Advanced NSCLC Treated with Immune Checkpoint Inhibitors

2026-05-09

Abstract excerpt

<title>Abstract</title> <p>Purpose To identify biologically and clinically meaningful subgroups of patients with advanced non-small cell lung cancer (NSCLC) receiving immune checkpoint inhibitors, using latent class analysis (LCA) based on baseline clinical and laboratory data, and to evaluate their associations with treatment response and progression-free survival. Methods We retrospectively analyzed 296 patie...

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Literature Corpus work
5b1f6766-3fb5-5e53-a4ca-9e590329d555
DOI
10.21203/rs.3.rs-8947954/v1
Open publication

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A Latent Class Analysis Based on Nutritional and Inflammatory Profiles Predicts Efficacy in Advanced NSCLC Treated with Immune Checkpoint InhibitorsDOI 10.21203/rs.3.rs-8947954/v1
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