Evidence map›Paper›PMID 40452631›Full record

ArticleBritish journal of clinical pharmacology2025

The use of international classification of diseases codes to identify hospital admissions linked with adverse drug events: Validation study.

Zuzana Juhásová, Fatma Karapinar-Çarkit, Daniala L Weir

Abstract readValidation Study
In one paragraph

Article in British journal of clinical pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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

3 authors.

Zuzana JuhásováDepartment of Social and Clinical Pharmacy, Faculty of Pharmacy in Hradec Králové, Charles University, Hradec Králové, Czech Republic.ORCID https://orcid.org/0000-0002-0050-5418
Fatma Karapinar-ÇarkitDepartment of Clinical Pharmacy, OLVG, Amsterdam, the Netherlands.ORCID https://orcid.org/0000-0002-3077-9663
Daniala L WeirDivision of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute of Pharmaceutical Sciences, Department of Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands.ORCID https://orcid.org/0000-0001-7044-2443

Funding

Charles University Cooperatio Program Pharmaceutical Sciences
6 · The paper itself

Abstract

aimsSeveral methods exist to identify hospital admissions related to adverse drug events (ADEs). Clinical adjudication by healthcare professionals is the gold standard but is labour-intensive. Spontaneous reporting and routinely collected healthcare data using a set of International Classification of Diseases (ICD) codes often underestimate the prevalence of ADE-related admissions. Expanding the set of ICD codes could improve detection; however, validation is limited. The objective was to describe the agreement between ADE-related ICD-10 codes and clinically adjudicated ADE-related admissions in 2 settings.

methodsThis study analysed 2 datasets: 1102 readmissions from a hospital in the Netherlands (180 ADE-related) and 1228 admissions from a hospital in the Czech Republic (195 ADE-related). Clinical adjudication involved expert review including causality assessment to identify ADE-related hospital admissions. The sensitivities and specificities were calculated for a narrow code set (higher drug-likelihood codes containing words like drug-induced) and a broad code set of ICD-10 codes (including codes very likely, likely and possibly ADE-related).

resultsThe narrow ICD-10 set showed a sensitivity of 3% (95% confidence interval [CI] 2-6%) and a specificity of 99.6% (95% CI 99-100%). The broad set increased sensitivity to 27% (95% CI 23-32%), with specificity decreasing slightly to 92% (95% CI 91-94%). Preventable ADEs were identified less frequently with both ICD-10 code sets.

conclusionsOnly 3% of ADE-related admissions were detected by the narrow ICD-code set and 27% by the broad code set without a significant drop in the specificity. ADE-related ICD codes seem to serve as triggers for 1 in 4 ADE-related hospital admissions.

Indexed as

Adverse Drug Reaction Reporting SystemsDrug-Related Side Effects and Adverse ReactionsHospitalizationInternational Classification of DiseasesPatient AdmissionAdultAgedCzech RepublicFemaleHumansMaleMiddle AgedNetherlandsSensitivity and Specificityadverse drug eventselectronic health recordshospitalizationinternational classification of diseasespharmacovigilancepreventability

Identifiers

PMID40452631
PMCPMC12464641

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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.