Evidence map›Paper›PMID 42142293›Full record

ArticleJournal of thrombosis and thrombolysis2026

Validity of ICD-10 codes for identifying gastrointestinal bleeding in anticoagulated patients: an encounter-level diagnostic accuracy study.

Abdelrahman G Tawfik, Ainhoa Gomez-Lumbreras, Spencer J Gilbert, Heeseung Hong, Xiangyang Ye, Vanessa Patterson, Guilherme Del Fiol, Daniel C Malone, Daniel M Witt

Abstract readValidation Study
In one paragraph

Article in Journal of thrombosis and thrombolysis, 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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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Abdelrahman G TawfikDepartment of Pharmacotherapy, College of Pharmacy, University of Utah, 30 S 2000 E, Salt Lake City, UT, 84112, USA.ORCID http://orcid.org/0000-0002-4939-9353
Ainhoa Gomez-LumbrerasDepartment of Pharmacotherapy, College of Pharmacy, University of Utah, 30 S 2000 E, Salt Lake City, UT, 84112, USA.ORCID http://orcid.org/0000-0002-3916-0402
Spencer J GilbertDepartment of Pharmacotherapy, College of Pharmacy, University of Utah, 30 S 2000 E, Salt Lake City, UT, 84112, USA.ORCID http://orcid.org/0009-0004-5911-7163
Heeseung HongDepartment of Pharmacotherapy, College of Pharmacy, University of Utah, 30 S 2000 E, Salt Lake City, UT, 84112, USA.ORCID http://orcid.org/0009-0002-4643-1175
Xiangyang YeDepartment of Pharmacotherapy, College of Pharmacy, University of Utah, 30 S 2000 E, Salt Lake City, UT, 84112, USA.
Vanessa PattersonDepartment of Pharmacotherapy, College of Pharmacy, University of Utah, 30 S 2000 E, Salt Lake City, UT, 84112, USA.ORCID http://orcid.org/0000-0002-6573-9936
Guilherme Del FiolDepartment of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, UT, USA.ORCID http://orcid.org/0000-0001-9954-6799
Daniel C MaloneDepartment of Pharmacotherapy, College of Pharmacy, University of Utah, 30 S 2000 E, Salt Lake City, UT, 84112, USA.ORCID http://orcid.org/0000-0002-5006-9394
Daniel M WittDepartment of Pharmacotherapy, College of Pharmacy, University of Utah, 30 S 2000 E, Salt Lake City, UT, 84112, USA. dan.witt@pharm.utah.edu.ORCID http://orcid.org/0000-0002-3930-8358

Funding

AHRQ HHS R18 HS029300AHRQ HHS U18HS029300
6 · The paper itself

Abstract

International Classification of Diseases, Tenth Revision (ICD-10) encounter diagnosis codes are commonly used to identify gastrointestinal bleeding (GIB) in electronic health record (EHR)-based research and clinical decision-support (CDS) tools. However, variability in coding accuracy may introduce misclassification bias, particularly among patients receiving oral anticoagulants (OACs). Contemporary, institution-specific validation of ICD-10 GIB codes is needed in the post-ICD-10 implementation era. We conducted a diagnostic accuracy study of ICD-10 encounter diagnosis codes for GIB among adults receiving warfarin or direct oral anticoagulants (DOACs) within a large academic healthcare system. A random sample of inpatient and emergency department encounters between June and December 2024 was identified. Manual chart review served as the reference standard. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic odds ratio (DOR) were calculated overall and stratified by anatomic bleeding site, anticoagulant class, and admission status. Among 656 anticoagulated encounters, 26 (4.0%) had chart-confirmed GIB. Overall sensitivity was 81% (95% CI, 60%-93%), specificity 98% (95% CI, 96%-99%), PPV 64% (95% CI, 45%-79%), and NPV 99% (95% CI, 98%-100%). The DOR was 215.6 (95% CI, 69.6-667.6). Sensitivity was higher for upper versus lower GIB (86% vs. 50%), while specificity remained high across subgroups. Diagnostic performance was similar between DOAC- and warfarin-treated encounters, though estimates for warfarin were imprecise due to small event counts. PPV varied across individual ICD-10 codes, with symptom-specific codes demonstrating higher predictive accuracy. ICD-10 encounter diagnosis codes demonstrated high specificity and NPV for identifying GIB among patients receiving OACs, supporting their use for ruling out bleeding events in EHR-based research and CDS. However, moderate PPV and heterogeneity across codes and clinical contexts indicate that ICD-10 codes alone should be used cautiously when defining GIB outcomes. Local validation remains essential to ensure reliable bleeding identification in anticoagulated populations.

Indexed as

AnticoagulantsGastrointestinal HemorrhageInternational Classification of DiseasesAgedElectronic Health RecordsFemaleHumansMaleWarfarinAnticoagulantsWarfarinDiagnostic accuracyDOACsGastrointestinal bleedingICD-10 codesOral anticoagulantsWarfarin

Identifiers

PMID42142293
PMCPMC13496968

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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.