Evidence map›Paper›PMID 31762074›Full record

GuidelineAlimentary pharmacology & therapeutics2020

Consensus guidelines: best practices for detection, assessment and management of suspected acute drug-induced liver injury occurring during clinical trials in adults with chronic cholestatic liver disease.

Melissa Palmer, Arie Regev, Keith Lindor, Mark I Avigan, Lara Dimick-Santos, William Treem, John F Marcinak, James H Lewis, Frank A Anania, Daniel Seekins and 2 more

Open access · hybridAbstract readPractice GuidelineReview
In one paragraph

Guideline in Alimentary pharmacology & therapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% 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

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

  1. Guideline
  2. Review
  3. Drug-Induced Liver Injury in Patients With Chronic Liver Disease.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Review
  4. Liver diseases: epidemiology, causes, trends and predictions.Signal transduction and targeted therapy · 2025
    Review
  5. International journal of molecular sciences · 2023
    Article
  6. Overview on drug-induced liver injury in Brazil.World journal of gastrointestinal pharmacology and therapeutics · 2021
    Article
  7. Review
  8. Article
  9. Review
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

12 authors at 9 institutions in 2 countries.

Melissa PalmerTakeda, Cambridge, MA, USA.ORCID 0000-0002-8745-6865
Arie RegevEli Lilly and Company, Indianapolis, IN, USA.ORCID 0000-0001-6570-7769
Keith LindorMayo Clinic, Phoenix, AZ, USA.
Mark I AviganUS Food and Drug Administration, Silver Spring, MD, USA.
Lara Dimick-SantosUS Food and Drug Administration, Silver Spring, MD, USA.
William TreemTakeda, Cambridge, MA, USA.
John F MarcinakTakeda, Deerfield, IL, USA.
James H LewisGeorgetown University Hospital, Washington, DC, USA.
Frank A AnaniaUS Food and Drug Administration, Silver Spring, MD, USA.
Daniel SeekinsBristol-Myers Squibb, Lawrenceville, NJ, USA.
Benjamin L ShneiderBaylor College of Medicine, Houston, TX, USA.
Naga ChalasaniIndiana University School of Medicine, Indianapolis, IN, USA.
United States Food and Drug Administration · USTakeda (United States) · USBaylor College of Medicine · USBristol-Myers Squibb (United States) · USDeerfield (United States) · USEli Lilly (United States) · USGeorgetown University · USIndiana University School of MedicineMayo Clinic Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImproved knowledge of the molecular pathophysiology and immunopathogenesis of cholestatic liver diseases in recent years has led to an increased interest in developing novel therapies. Patients with cholestatic liver disease often require different approaches to assessment and management of suspected drug-induced liver injury (DILI) compared to those with healthy livers and those with parenchymal liver diseases. At present, there are no regulatory guidelines or society position papers, that systematically address best practices pertaining to detection of DILI in these patients.

aimsTo outline best practices for detection, assessment and management of suspected acute DILI during clinical trials in adults with the cholestatic liver diseases - Primary Biliary Cholangitis (PBC) and Primary Sclerosing Cholangitis (PSC).

methodsThis is one of the several papers developed by the IQ DILI Initiative, which is comprised of members from 16 pharmaceutical companies, in collaboration with DILI experts from academia and regulatory agencies. The contents are the result of an extensive literature review, as well as in-depth discussions among industry, regulatory and academic DILI experts, to achieve consensus recommendations on DILI-related issues occurring during clinical trials for cholestatic liver diseases.

resultsRecommended best practices are outlined pertaining to hepatic eligibility criteria, monitoring of liver tests, approach to a suspected DILI signal, and hepatic discontinuation rules.

conclusionsThis paper provides a framework for the approach to detection, assessment and management of suspected acute DILI occurring during clinical trials in adults with cholestatic liver disease.

Indexed as

Clinical Trials as TopicConsensusAdultChemical and Drug Induced Liver InjuryCholestasisChronic DiseaseDrug IndustryHumansLiverLiver Cirrhosis, BiliaryLiver Function TestsSocieties, Pharmaceutical

Identifiers

PMID31762074
PMCPMC6972572
OpenAlexW2991472941

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.