Evidence map›Paper›PMID 33141341›Full record

ReviewDrug safety2021

Consensus Guidelines: Best Practices for Detection, Assessment and Management of Suspected Acute Drug-Induced Liver Injury During Clinical Trials in Adults with Chronic Viral Hepatitis and Adults with Cirrhosis Secondary to Hepatitis B, C and Nonalcoholic Steatohepatitis.

William R Treem, Melissa Palmer, Isabelle Lonjon-Domanec, Daniel Seekins, Lara Dimick-Santos, Mark I Avigan, John F Marcinak, Ajit Dash, Arie Regev, Eric Maller and 7 more

Open access · greenAbstract readReview
In one paragraph

Review in Drug safety, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. [Expert opinions on the technical guiding principles for clinical trials of drugs in the treatment of chronic hepatitis B virus infection].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Expert opinions on technical guidance for clinical trials of antiviral drugs for chronic hepatitis BZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2022
    Article
  16. Article
  17. Article
  18. Opportunities and challenges in translational science.Clinical and translational science · 2021
    Review
  19. Article
  20. 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

17 authors at 15 institutions in 4 countries.

William R TreemTakeda, Cambridge, MA, USA. William.Treem@takeda.com.ORCID 0000-0001-7507-8062
Melissa PalmerTakeda, Cambridge, MA, USA.
Isabelle Lonjon-DomanecJanssen Research & Development, Janssen Pharmaceutica NV, Beerse, Belgium.
Daniel SeekinsBristol Myers Squibb, Lawrenceville, NJ, USA.
Lara Dimick-SantosUS Food and Drug Administration, Silver Spring, MD, USA.
Mark I AviganUS Food and Drug Administration, Silver Spring, MD, USA.
John F MarcinakAbbVie, North Chicago, IL, USA.
Ajit Dash, Genentech, South San Francisco, CA, USA.
Arie RegevEli Lilly and Company, Indianapolis, IN, USA.
Eric MallerPfizer, Collegeville, PA, USA.
Meenal PatwardhanAbbVie, North Chicago, IL, USA.
James H LewisGeorgetown University Hospital, Washington, DC, USA.
Don C RockeyMedical University of South Carolina, Charleston, SC, USA.
Adrian M Di BisceglieSaint Louis University, Saint Louis, MO, USA.
James W FrestonUniversity of Connecticut Health Center, Farmington, CT, USA.
Raul J AndradeUnidad de Gestión Clínica de Aparato Digestivo, Instituto de Investigación Biomédica de Málaga-IBIMA, Hospital Universitario Virgen de la Victoria, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas CIBERehd, Universidad de Málaga, Málaga, Spain.
Naga ChalasaniIndiana University School of Medicine, Indianapolis, IN, USA. nchalasa@iu.edu.
AbbVie (United States) · USUnited States Food and Drug Administration · USBristol-Myers Squibb (United States) · USCentro de Investigación Biomédica en Red · ESEli Lilly (United States) · USGeorgetown University · USIndiana University School of MedicineJanssen (Belgium) · BEKaiser Permanente South San Francisco Medical Center · USLEK Consulting (United States) · USMedical University of South Carolina · USPfizer (United States) · USSaint Louis University · USTakeda (United States) · USUConn Health · US

Funding

The role of SMAD1 and SATB2 in colon patterningP20GM130457 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Hailong Zhang · 2020 to 2026
$18.7M
Proteomics CoreP30DK123704 · NIDDK · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DON C. ROCKEY · 2020 to 2026
$8.8M
NIDDK NIH HHS P30 DK123704NIGMS NIH HHS P20 GM130457
6 · The paper itself

Abstract

With the widespread development of new drugs to treat chronic liver diseases (CLDs), including viral hepatitis and nonalcoholic steatohepatitis (NASH), more patients are entering trials with abnormal baseline liver tests and with advanced liver injury, including cirrhosis. The current regulatory guidelines addressing the monitoring, diagnosis, and management of suspected drug-induced liver injury (DILI) during clinical trials primarily address individuals entering with normal baseline liver tests. Using the same laboratory criteria cited as signals of potential DILI in studies involving patients with no underlying liver disease and normal baseline liver tests may result in premature and unnecessary cessation of a study drug in a clinical trial population whose abnormal and fluctuating liver tests are actually due to their underlying CLD. This position paper focuses on defining best practices for the detection, monitoring, diagnosis, and management of suspected acute DILI during clinical trials in patients with CLD, including hepatitis C virus (HCV) and hepatitis B virus (HBV), both with and without cirrhosis and NASH with cirrhosis. This is one of several position papers developed by the IQ DILI Initiative, comprising members from 16 pharmaceutical companies in collaboration with DILI experts from academia and regulatory agencies. It is based on an extensive literature review and discussions between industry members and experts from outside industry to achieve consensus regarding the recommendations. Key conclusions and recommendations include (1) the importance of establishing laboratory criteria that signal potential DILI events and that fit the disease indication being studied in the clinical trial based on knowledge of the natural history of test fluctuations in that disease; (2) establishing a pretreatment value that is based on more than one screening determination, and revising that baseline during the trial if a new nadir is achieved during treatment; (3) basing rules for increased monitoring and for stopping drug for potential DILI on multiples of baseline liver test values and/or a threshold value rather than multiples of the upper limit of normal (ULN) for that test; (4) making use of more sensitive tests of liver function, including direct bilirubin (DB) or combined parameters such as aspartate transaminase:alanine transaminase (AST:ALT) ratio or model for end-stage liver disease (MELD) to signal potential DILI, especially in studies of patients with cirrhosis; and (5) being aware of potential confounders related to complications of the disease being studied that may masquerade as DILI events.

Indexed as

Chemical and Drug Induced Liver InjuryConsensusPractice Guidelines as TopicAdultClinical Trials as TopicHepatitis BHepatitis CHepatitis, ChronicHumansLiver CirrhosisNon-alcoholic Fatty Liver Disease

Identifiers

PMID33141341
PMCPMC7847464
OpenAlexW3097255730

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.