Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 12

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

The Frequency of Drug-Induced Liver Injury Due to Antibiotics Among Hospitalised Patients

Björnsson, Robert A, Sigurdsson, Sigurdur Sölvi, Arnarson, Dagur Tjörvi, Logason, Egill, Björnsson, Einar Stefan·2025·Drug Safety

Abstract

Introduction Most epidemiological studies have found antibiotics to be the most common cause of drug-induced liver injury (DILI). It is unclear what the risk of DILI is associated with different antibiotics. Objective The aim of the study was to assess the frequency of DILI due to the most commonly used antibiotics among inpatients, in a population-based setting. Methods Patients who were treated with the 14 most-used antibiotics at Landspitali University Hospital Iceland 2012-2023, with concomitant: > 5 × upper limit of normal (ULN) of alanine aminotransferase (ALT) and/or > 2 × ULN of alkaline phosphatase (ALP), were identified. If DILI was a potential cause, the Revised Electronic Causality Assessment Method (RECAM) method was used to determine likelihood of DILI. Results Overall 2292 patients fulfilled the inclusion criteria, 52 of whom were found to have DILI, median age 67 (range 21-93) years, 58% females, 17 (33%) with jaundice and three (5.8%) died of liver failure. The most commonly implicated agent was amoxicillin/clavulanate (n = 23) in 1:1327 users (0.075%), ceftriaxone (n = 8) 1:3779 (0.02%), cefazolin (n = 7) 1: 6363 (0.016%), cloxacillin 1:6024 (n = 4) (0.017%), piperacillin/tazobactam (n = 2) 1:1551 (0.097%), vancomycin (n = 2) 1:1966 (0.076%), trimethoprim-sulfamethoxazole (TMP/SMX) (n = 3) 1:1096 (0.091%) and ciprofloxacin (n = 1) 1:10,938 (0.009%). In two cases, more than one antibiotic was considered likely. Conclusions Drug-induced liver injury was found…

Overview

Integrity signals

Registry

Crossref · 10.1007/s40264-025-01541-w

Cites

27 of 27 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Research works printed but not linked: 2

  1. https://www.ncbi.nlm.nih.gov/books/NBK547852/
  2. deLemos AS, Ghabril M, Rockey DC, Gu J, Barnhart H, Fontana RJ, et al. Amoxicillin-clavulanate-induced liver injury. Dig Dis Sci. 2016;61:2406–16. · DOI

Metadata

Authors
Björnsson, R. A., Sigurdsson, S. S., Arnarson, D. T., Logason, E., & Björnsson, E. S.
Venue
Drug Safety
Published
2025-03-12
Volume
48
Issue
7
Pages
795-804
ISSN
  • 0114-5916
  • 1179-1942
Cited by
12
References
27
Language
en
Licence

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.