Evidence map›Paper›PMID 42475234›Full record

ReviewHepatology communications2026

The contemporary epidemiology, causes, and management of drug-induced liver injury.

Linea Swanson, Robert J Fontana

Abstract readReview
In one paragraph

Review in Hepatology communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

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

2 authors.

Linea SwansonDivision of Gastroenterology and Hepatology, University of Michigan Medical School, Ann Arbor, Michigan, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug-induced liver injury is an important cause of clinically significant liver disease. In Western countries, antibiotics are the leading cause of DILI, with amoxicillin-clavulanate and trimethoprim-sulfamethoxazole most frequently implicated. Herbal and dietary supplements (HDS) are increasingly implicated as a cause of DILI worldwide, including ashwagandha, turmeric, and green tea extract in the United States. Advances in DILI diagnosis include the development of the Revised Electronic Causality Assessment Method (RECAM) instrument and the creation of the LiverTox website with drug and HDS likelihood scores. Newer causes of DILI include kinase inhibitors for cancer and autoimmune conditions, various immunomodulatory agents, and medications to treat liver disease. Immune-mediated liver injury from checkpoint inhibitors (ILICI) typically presents within the first 6 months of treatment with asymptomatic laboratory abnormalities. Treatment of DILI remains primarily supportive by withholding the offending agent and close monitoring, with corticosteroids only showing benefit in highly selected patients. Over 80% of DILI patients will fully recover within 6 months of drug discontinuation with supportive care, but recent outcomes for DILI-related ALF due to HDS have been worsening. Prognostic models can help identify hospitalized DILI patients in need of transplant and others who are at increased risk for 6-month mortality. Whole-exome sequencing to identify new genetic risk factors, development of in vitro diagnostic assays, and further studies of the host adaptive immune response in DILI pathogenesis will hopefully lead to further improvements in DILI diagnosis and treatment.

Indexed as

Chemical and Drug Induced Liver InjuryAnti-Bacterial AgentsHumansRisk FactorsAnti-Bacterial Agentsacute liver failurecausality assessmentdrug hepatotoxicitygenetic polymorphismsliver transplantationRECAM

Identifiers

PMID42475234
PMCPMC13671609

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.