ArticleCancer immunology, immunotherapy : CII2021
Comparative assessment of manual chart review and ICD claims data in evaluating immunotherapy-related adverse events.
Article in Cancer immunology, immunotherapy : CII, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Heterogeneous survival impact of immune-related adverse events in US veterans.Journal for immunotherapy of cancer · 2026Article
- irAE-GPT: leveraging large language models to identify immune-related adverse events in electronic health records and clinical trial datasets.EBioMedicine · 2026Article
- Large Language Models for Drug-Related Adverse Events in Oncology Pharmacy: Detection, Grading, and Actioning.Pharmacy (Basel, Switzerland) · 2025Review
- Disparate patterns of disease time burden in patients with HCC on immunotherapy or tyrosine kinase inhibitors.JHEP reports : innovation in hepatology · 2025Article
- External validation of the American heart association's PREVENT equations in predicting atherosclerotic cardiovascular disease risk among Arab women and men: a retrospective cohort study.BMC cardiovascular disorders · 2025Article
- Large Language Models for Adverse Drug Events: A Clinical Perspective.Journal of clinical medicine · 2025Review
- Characteristics, Incidence, and Management of Immune Checkpoint Inhibitors Related Cardiovascular Adverse Events in Real-World Practice-A Retrospective Study in Chinese Han Population.Therapeutics and clinical risk management · 2025Article
- Role for Artificial Intelligence in the Detection of Immune-Related Adverse Events.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024Article
- Enhancing Precision in Detecting Severe Immune-Related Adverse Events: Comparative Analysis of Large Language Models and International Classification of Disease Codes in Patient Records.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024Article
- A retrospective analysis using comorbidity detecting algorithmic software to determine the incidence of International Classification of Diseases (ICD) code omissions and appropriateness of Diagnosis-Related Group (DRG) code modifiers.BMC medical informatics and decision making · 2024Article
- Detection of Patient-Level Immunotherapy-Related Adverse Events (irAEs) from Clinical Narratives of Electronic Health Records: A High-Sensitivity Artificial Intelligence Model.Pragmatic and observational research · 2024Article
- Using a Healthcare Process Modeling Approach to Understand Electronic Health Records-based Pressure Injury Data and to Support Development of a Standardized Pressure Injury Phenotyping Pipeline.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- Risk Factors for Immune Checkpoint Inhibitor Immunotherapy Toxicity Among Older Adults with Cancer.The oncologist · 2023Article
- Dearth of ICD Codes for Complications of Immune Checkpoint Inhibitors Impedes Clinical Care and Research.Journal of the Endocrine Society · 2023Article
- Generalizability of machine learning methods in detecting adverse drug events from clinical narratives in electronic medical records.Frontiers in pharmacology · 2023Article
- Moderate Colitis Not Requiring Intravenous Steroids Is Associated with Improved Survival in Stage IV Melanoma after Anti-CTLA4 Monotherapy, But Not Combination Therapy.The oncologist · 2022Article
- Risk factors and predictors of immune-related adverse events: implications for patients with non-small cell lung cancer.Expert review of anticancer therapy · 2022Review
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
backgroundThe aim of this retrospective study was to demonstrate that irAEs, specifically gastrointestinal and pulmonary, examined through International Classification of Disease (ICD) data leads to underrepresentation of true irAEs and overrepresentation of false irAEs, thereby concluding that ICD claims data are a poor approach to electronic health record (EHR) data mining for irAEs in immunotherapy clinical research.
methodsThis retrospective analysis was conducted in 1,063 cancer patients who received ICIs between 2011 and 2017. We identified irAEs by manual review of medical records to determine the incidence of each of our endpoints, namely colitis, hepatitis, pneumonitis, other irAE, or no irAE. We then performed a secondary analysis utilizing ICD claims data alone using a broad range of symptom and disease-specific ICD codes representative of irAEs.
results16% (n = 174/1,063) of the total study population was initially found to have either pneumonitis 3% (n = 37), colitis 7% (n = 81) or hepatitis 5% (n = 56) on manual review. Of these patients, 46% (n = 80/174) did not have ICD code evidence in the EHR reflecting their irAE. Of the total patients not found to have any irAEs during manual review, 61% (n = 459/748) of patients had ICD codes suggestive of possible irAE, yet were not identified as having an irAE during manual review. DISCUSSION: Examining gastrointestinal and pulmonary irAEs through the International Classification of Disease (ICD) data leads to underrepresentation of true irAEs and overrepresentation of false irAEs.
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