Evidence map›Paper›PMID 26861284›Full record

ReviewInternational journal of molecular sciences2016

Drug-Induced Liver Injury Network Causality Assessment: Criteria and Experience in the United States.

Paul H Hayashi

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
14.1field-weighted citation impact, top 1% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Pooled it
  2. Methods for causality assessment of idiosyncratic drug-induced liver injury.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Review
  3. Review
  4. Article
  5. Article
  6. Autoimmune liver diseases in systemic rheumatic diseases.World journal of gastroenterology · 2022
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. If DILI Is Suspected, Don't Dally.Digestive diseases and sciences · 2021
    Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Drug-induced liver injury.Yeungnam University journal of medicine · 2020
    Article
  19. Palbociclib-Induced Liver Failure.Kansas journal of medicine · 2020
    Article
  20. 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.

Paul H HayashiUniversity of North Carolina Liver Center, 8011 Burnett-Womack Building, Chapel Hill, NC 27599-8754, USA. paul_hayashi@med.unc.edu.
University of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatotoxicity due to drugs, herbal or dietary supplements remains largely a clinical diagnosis based on meticulous history taking and exclusion of other causes of liver injury. In 2004, the U.S. Drug-Induced Liver Injury Network (DILIN) was created under the auspices of the U.S. National Institute of Diabetes and Digestive and Kidney Diseases with the aims of establishing a large registry of cases for clinical, epidemiological and mechanistic study. From inception, the DILIN has used an expert opinion process that incorporates consensus amongst three different DILIN hepatologists assigned to each case. It is the most well-established, well-described and vigorous expert opinion process for DILI to date, and yet it is an imperfect standard. This review will discuss the DILIN expert opinion process, its strengths and weaknesses, psychometric performance and future.

Indexed as

Chemical and Drug Induced Liver InjuryConsensusDrug-Related Side Effects and Adverse ReactionsHumansPsychometricsUnited Statescausalitydiagnosisexpert opinionhepatotoxicity

Identifiers

PMID26861284
PMCPMC4783935
OpenAlexW2271251932

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.