Evidence map›Paper›PMID 33725335›Full record

ReviewDrug safety2021

Overview of Causality Assessment for Drug-Induced Liver Injury (DILI) in Clinical Trials.

Juliana Hey-Hadavi, Daniel Seekins, Melissa Palmer, Denise Coffey, John Caminis, Sandzhar Abdullaev, Meenal Patwardhan, Haifa Tyler, Ritu Raheja, Ann Marie Stanley and 7 more

Open access · hybridAbstract 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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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
  9. Role of liver biopsy in the management of idiosyncratic DILI.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Review
  10. Review
  11. Observational
  12. Article
  13. 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

17 authors at 12 institutions in 2 countries.

Juliana Hey-HadaviPfizer, 235 E 42nd Street, New York City, NY, 10017, USA. Judith.Hey-Hadavi@pfizer.com.
Daniel SeekinsBristol-Myers Squibb, Lawrenceville, NJ, USA.
Melissa PalmerTakeda, Cambridge, MA, USA.
Denise CoffeyBristol-Myers Squibb, Lawrenceville, NJ, USA.
John CaminisSanofi, Bridgewater, NJ, USA.
Sandzhar AbdullaevBristol-Myers Squibb, Lawrenceville, NJ, USA.
Meenal PatwardhanAbbVie, North Chicago, IL, USA.
Haifa TylerOtsuka Pharmaceutical Development and Commercialization, Inc., 508 Carnegie Center Dr, Princeton, NJ, 08540, USA.
Ritu RahejaAbbVie, North Chicago, IL, USA.
Ann Marie StanleyIQ DILI Consortium, Washington, DC, USA.
Liliam Pineda-SalgadoOtsuka Pharmaceutical Development and Commercialization, Inc., 508 Carnegie Center Dr, Princeton, NJ, 08540, USA.
David L BourdetTheravance Biopharma, South San Francisco, CA, USA.
Raul J AndradeUnidad de Gestión Clínica de Aparato Digestivo, Instituto de Investigación Biomédica de Málaga-IBIMA, Hospital Universitario Virgen de la Victoria, Universidad de Málaga, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas CIBERehd, Málaga, Spain.
Paul H HayashiUniversity of North Carolina, Chapel Hill, NC, USA.
Lara Dimick-SantosUS Food and Drug Administration, Silver Spring, MD, USA.
Don C RockeyMedical University of South Carolina, Charleston, SC, USA.
Alvin EstiloOtsuka Pharmaceutical Development and Commercialization, Inc., 508 Carnegie Center Dr, Princeton, NJ, 08540, USA. Alvin.Estilo@otsuka-us.com.
Bristol-Myers Squibb (United States) · USOtsuka (United States) · USAbbVie (United States) · USIn-Q-Tel · USInstituto de Investigación Biomédica de Málaga · ESMedical University of South Carolina · USPfizer (United States) · USSanofi (United States) · USTakeda (United States) · USTheravance Biopharma (United States) · USUnited States Food and Drug Administration · USUniversity of North Carolina at Chapel Hill · US

Funding

The role of SMAD1 and SATB2 in colon patterningP20GM130457 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI STEPHEN A DUNCAN · 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

Causality assessment for suspected drug-induced liver injury (DILI) during drug development and following approval is challenging. The IQ DILI Causality Working Group (CWG), in collaboration with academic and regulatory subject matter experts (SMEs), developed this manuscript with the following objectives: (1) understand and describe current practices; (2) evaluate the utility of new tools/methods/practice guidelines; (3) propose a minimal data set needed to assess causality; (4) define best practices; and (5) promote a more structured and universal approach to DILI causality assessment for clinical development. To better understand current practices, the CWG performed a literature review, took a survey of member companies, and collaborated with SMEs. Areas of focus included best practices for causality assessment during clinical development, utility of adjudication committees, and proposals for potential new avenues to improve causality assessment. The survey and literature review provided renewed understanding of the complexity and challenges of DILI causality assessment as well as the use of non-standardized approaches. Potential areas identified for consistency and standardization included role and membership of adjudication committees, standardized minimum dataset, updated assessment tools, and best practices for liver biopsy and rechallenge in the setting of DILI. Adjudication committees comprised of SMEs (i.e., utilizing expert opinion) remain the standard for DILI causality assessment. A variety of working groups continue to make progress in pursuing new tools to assist with DILI causality assessment. The minimum dataset deemed adequate for causality assessment provides a path forward for standardization of data collection in the setting of DILI. Continued progress is necessary to optimize and advance innovative tools necessary for the scientific, pharmaceutical, and regulatory community.

Indexed as

Chemical and Drug Induced Liver InjuryClinical Trials as TopicCausalityData CollectionHumans

Identifiers

PMID33725335
PMCPMC8184702
OpenAlexW3137936215

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.