SynthesisJournal of the American Medical Informatics Association : JAMIA
ICD-10 codes used to identify adverse drug events in administrative data: a systematic review.
Synthesis in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 76 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
76 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Criteria to Report Adverse Drug Withdrawal Events in Clinical Trials: A Systematic Review.Journal of the American Geriatrics Society · 2025Pooled it
- Hospitalizations and deaths related to adverse drug events worldwide: Systematic review of studies with national coverage.European journal of clinical pharmacology · 2022Pooled it
- Do Diagnostic and Procedure Codes Within Population-Based, Administrative Datasets Accurately Identify Patients with Rectal Cancer?Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2019Pooled it
- Effectiveness and Safety of an Emergency Department Code Sepsis Protocol: A Pragmatic Clinical Trial.Annals of the American Thoracic Society · 2024Trial
- High-throughput signal detection of hepatotoxic drug-drug interactions in hospitalized elderly patients: an NLP-driven pharmacovigilance study.Annals of medicine · 2026Article
- Increasing the reporting of adverse drug reaction-related hospitalizations using an ICD-10-based identification workflow: A multicentre study from Switzerland.British journal of clinical pharmacology · 2026Observational
- Proposed ICD-10 framework for identifying emergency department visits that may be impacted by community pharmacy care clinics.International journal of clinical pharmacy · 2026Article
- Physician Variation in Early Sepsis Management.JAMA network open · 2026Article
- Characteristics, preventability, management, and predictors of adverse drug reaction-related hospital admissions: a cross-sectional study in a Thai tertiary care hospital.Journal of pharmaceutical policy and practice · 2026Article
- Immune checkpoint inhibitor exposure and outcomes of gastrointestinal bleeding in cancer patients: a national analysis of 130,557 hospitalizations, 2018-2022.Frontiers in medicine · 2026Article
- The use of international classification of diseases codes to identify hospital admissions linked with adverse drug events: Validation study.British journal of clinical pharmacology · 2025Article
- Natural Language Processing andJMIR medical informatics · 2025Article
- Application of Claims-based Frailty Index to a Structured Electronic Health Record Data.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025Article
- Health economic evaluation of a medication safety intervention in elderly care: identifying causal effects in a multi-center quasi-experimental study design.BMC health services research · 2025Article
- Antibiotic Treatment in Patients Hospitalized for Nonsevere COVID-19.JAMA network open · 2025Article
- Adverse Drug Events in Ambulatory Care: A Cross-Sectional Study.Drug safety · 2025Article
- LEVERAGING UNSTRUCTURED DATA IN ELECTRONIC HEALTH RECORDS TO DETECT ADVERSE EVENTS FROM PEDIATRIC DRUG USE - A SCOPING REVIEW.medRxiv : the preprint server for health sciences · 2025Article
- ICD-10 Codes to Identify Adverse Drug Events Associated with Antibiotics in Administrative Data.Antibiotics (Basel, Switzerland) · 2025Article
- Impact of in-hospital medication changes on clinical outcomes in older inpatients: the journey and destination.Age and ageing · 2025Article
- Article
16 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issuedDoyle-Waters, Mimi [added]
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAdverse drug events, the unintended and harmful effects of medications, are important outcome measures in health services research. Yet no universally accepted set of International Classification of Diseases (ICD) revision 10 codes or coding algorithms exists to ensure their consistent identification in administrative data. Our objective was to synthesize a comprehensive set of ICD-10 codes used to identify adverse drug events.
methodsWe developed a systematic search strategy and applied it to five electronic reference databases. We searched relevant medical journals, conference proceedings, electronic grey literature and bibliographies of relevant studies, and contacted content experts for unpublished studies. One author reviewed the titles and abstracts for inclusion and exclusion criteria. Two authors reviewed eligible full-text articles and abstracted data in duplicate. Data were synthesized in a qualitative manner.
resultsOf 4241 titles identified, 41 were included. We found a total of 827 ICD-10 codes that have been used in the medical literature to identify adverse drug events. The median number of codes used to search for adverse drug events was 190 (IQR 156-289) with a large degree of variability between studies in the numbers and types of codes used. Authors commonly used external injury (Y40.0-59.9) and disease manifestation codes. Only two papers reported on the sensitivity of their code set.
conclusionsSubstantial variability exists in the methods used to identify adverse drug events in administrative data. Our work may serve as a point of reference for future research and consensus building in this area.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.