Evidence map›Paper›PMID 29751876›Full record

ReviewSurgical pathology clinics2018

Recent Advances in the Histopathology of Drug-Induced Liver Injury.

David E Kleiner

Abstract readReview
In one paragraph

Review in Surgical pathology clinics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.4field-weighted citation impact, top 6% of its field
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

15 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. The Rise of Fentanyl: Molecular Aspects and Forensic Investigations.International journal of molecular sciences · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Ameliorative effect of Mangosteen (Veterinary world · 2021
    Article
  12. Review
  13. Article
  14. Review
  15. Occupational Liver Disease: An Underestimated Entity of Liver Injury.Indian journal of occupational and environmental medicine
    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

1 author at 1 institution in 1 country.

David E KleinerLaboratory of Pathology, National Cancer Institute, 10 Center Drive, Building 10, Room 2S235, MSC1500, Bethesda, MD 20892, USA. Electronic address: kleinerd@mail.nih.gov.
National Cancer Institute · US

Funding

Postmortem PathologyZICBC010685 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI KLEINER, DAVID ERWIN · 2009 to 2025
$14.3M
Postmortem PathologyZ01BC010685 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI KLEINER, DAVID E · 2005 to 2008
$913k
Intramural NIH HHS Z01 BC010685
6 · The paper itself

Abstract

Drug-induced liver injury (DILI) is constantly changing as new drugs are approved and as new herbals and dietary supplements (HDS) reach the market. The pathologist plays a key role in the evaluation of DILI by classifying and interpreting the histologic findings considering patients' medical history and drug exposure. The liver biopsy findings may suggest alternative explanations of the injury and additional testing that should be performed to exclude non-DILI causes. Recent reports of iatrogenic liver injury are reviewed with attention to immunomodulatory and antineoplastic agents as well as reports of injury associated with HDS use.

Indexed as

Antineoplastic Agents, AlkylatingBiopsyChemical and Drug Induced Liver InjuryDacarbazineDiagnosis, DifferentialDietary SupplementsHepatitis, AutoimmuneHumansImmunosuppressive AgentsLiverPhytotherapyTemozolomideAntineoplastic Agents, AlkylatingDacarbazineImmunosuppressive AgentsTemozolomideAcute hepatitisAutoimmune hepatitisCholestasisHepatic necrosisHepatotoxicity

Identifiers

PMID29751876
PMCPMC5953206
OpenAlexW2801064741

What OpenQuestion holds

Textmetadata
LicenceTDM
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.