ArticleFrontiers in oncology2026
Development and validation of claims-based algorithms to identify interstitial lung disease among Japanese patients with cancer in routine clinical practice using real-world data sources.
Article in Frontiers in oncology, 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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Abstract
Introduction: Efforts to validate claims-based algorithms for identifying patients with interstitial lung disease (ILD), an important safety concern in Japan, are limited. Purpose: We developed and validated a claims-based algorithm for identifying ILD in Japanese patients with cancer using machine-learning modeling. Methods: This Japanese observational study used administrative claims and electronic medical record data collected in January 2013-March 2019 (Phase 1) and January 2015-March 2021 (Phase 2). Patients were classified as ILD cases based on chest computed tomography reports using natural language processing, with confirmatory reviews (ILD Results: Among 13,601 eligible patients, 415 were ILD Conclusions: Despite limited sensitivity, this validated algorithm's acceptable PPV may enable confident identification of true positive cases of ILD when suspected positive from claims data in Japanese patients with cancer, potentially making it valuable as a case-confirmation tool for retrospective studies using healthcare claims databases, particularly for those comparing relative risks between treatments.
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