ArticleMedComm2026
Optimal, Interpretable, and Personalized Immune Checkpoint Inhibitor Duration in Non-Small Cell Lung Cancer: A Multicenter Real-World Study.
Article in MedComm, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
15 authors.
Funding
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Abstract
The optimal treatment duration of immune checkpoint inhibitors (ICIs) in non-small cell lung cancer (NSCLC) remains undefined. We conducted a multicenter retrospective cohort study of 1054 patients with NSCLC treated with ICIs across six hospitals in China and one in the United States. Using a training cohort of 372 patients, we constructed a counterfactual random forest reward-estimation matrix incorporating age, tumor diameter, and derived neutrophil-to-lymphocyte ratio, and an Optimal Policy Survival Tree (OPST) was developed to characterize phenotype-specific associations between baseline clinical features, treatment duration patterns (short-, intermediate-, and long-course), and survival outcomes. Two external cohorts (
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