Evidence map›Paper›PMID 35014066›Full record

ArticleHepatology (Baltimore, Md.)2022

A revised electronic version of RUCAM for the diagnosis of DILI.

Paul H Hayashi, M Isabel Lucena, Robert J Fontana, Einar S Bjornsson, Guruprasad P Aithal, Huiman Barnhart, Andres Gonzalez-Jimenez, Qinghong Yang, Jiezhun Gu, Raul J Andrade and 1 more

Abstract read
In one paragraph

Article in Hepatology (Baltimore, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

70 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
  2. [Chinese guideline for diagnosis and management of drug-induced liver injury (2023 version)].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2023
    Guideline
  3. Article
  4. Vorasidenib-Induced Acute Liver Injury.Digestive diseases and sciences · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Common Causes of Drug-Induced Liver Injury in 2025.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2026
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Evaluation of Histological Criteria and Immunoserological Testing of Simplified Criteria for the Diagnosis of Autoimmune Hepatitis.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2025
    Article
  18. Navigating liver toxicity in the age of novel oncological agents.JHEP reports : innovation in hepatology · 2025
    Review
  19. Article
  20. Article

10 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Paul H HayashiFood and Drug Administration, Silver Spring, Maryland, USA.ORCID 0000-0002-5371-1020
M Isabel LucenaServicio de Aparato Digestivo y de Farmacología Clínica, Hospital Universitario Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga-IBIMA, Facultad de Medicina, Universidad de Málaga, Málaga, Spain.
Robert J FontanaUniversity of Michigan, Ann Arbor, Michigan, USA.
Einar S BjornssonLandspitali University Hospital, Reykjavik, Iceland.
Guruprasad P AithalNIHR Nottingham BRC, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, UK.
Huiman BarnhartDuke University, Durham, North Carolina, USA.
Andres Gonzalez-JimenezServicio de Aparato Digestivo y de Farmacología Clínica, Hospital Universitario Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga-IBIMA, Facultad de Medicina, Universidad de Málaga, Málaga, Spain.
Qinghong YangDuke University, Durham, North Carolina, USA.
Jiezhun GuDuke University, Durham, North Carolina, USA.
Raul J AndradeServicio de Aparato Digestivo y de Farmacología Clínica, Hospital Universitario Virgen de la Victoria, Instituto de Investigación Biomédica de Málaga-IBIMA, Facultad de Medicina, Universidad de Málaga, Málaga, Spain.
Jay H HoofnagleNational Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland, USA.

Funding

INSTITUTIONAL CLINICAL AND TRANSLATIONAL SCIENCE AWARDUL1RR024134 · NCRR · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2006 to 2011
$70.4M
MAYO CLINIC CENTER FOR TRANSLATIONAL SCIENCE ACTIVITIESUL1RR024150 · NCRR · MAYO CLINIC ROCHESTER · PI RIZZA, ROBERT A. · 2006 to 2011
$66.4M
MICHIGAN INSTITUTE FOR CLINICAL AND HEALTH RESEARCH (MICHR) (UL1): (BPCA)UL1RR024986 · NCRR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SHANLEY, THOMAS P. · 2007 to 2011
$51.2M
Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
NORTH AND CENTRAL TEXAS CTSA FOR PEDIATRIC RESEARCHUL1RR024982 · NCRR · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2007 to 2011
$27.9M
INDIANA CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTE (UL1): BPCAUL1RR025761 · NCRR · INDIANA UNIVERSITY INDIANAPOLIS · PI SHEKHAR, ANANTHA · 2008 to 2011
$21.0M
UNC Clinical and Translational Science AwardUL1TR000083 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUNGE, MARSCHALL S. · 2012 to 2013
$11.6M
Coordinating Center for the Drug Induced Liver Injury Network (DILIN)U24DK065176 · NIDDK · DUKE UNIVERSITY · PI BARNHART, HUIMAN X · 2018 to 2022
$7.6M
IU Clinical Center: Drug Induced Liver Injury NetworkU01DK065211 · NIDDK · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI NAGA P CHALASANI · 2003 to 2026
$7.5M
University of North Carolina Clinical Center for DILINU01DK065201 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PAUL B WATKINS · 2003 to 2026
$7.3M
Michigan Hepatotoxicity Clinical Research Network Renewal 2018U01DK065184 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ROBERT J FONTANA · 2003 to 2026
$7.0M
The Drug Induced Liver Injury Network (DILIN): Focus on Herbal and DietarySupplementsU01DK083027 · NIDDK · THOMAS JEFFERSON UNIVERSITY · PI Dina Halegoua-DeMarzio · 2008 to 2026
$7.0M
NCATS NIH HHS UL1 TR000083NCRR NIH HHS UL1 RR024134NCRR NIH HHS UL1 RR024150NCRR NIH HHS UL1 RR024982NCRR NIH HHS UL1 RR024986NCRR NIH HHS UL1 RR025761NIDDK NIH HHS U01 DK065184NIDDK NIH HHS U01-DK065184NIDDK NIH HHS U01 DK065193NIDDK NIH HHS U01DK065193NIDDK NIH HHS U01 DK065201NIDDK NIH HHS U01-DK065201NIDDK NIH HHS U01 DK065211NIDDK NIH HHS U01- DK065211NIDDK NIH HHS U01 DK065238NIDDK NIH HHS U01-DK065238NIDDK NIH HHS U01 DK082992NIDDK NIH HHS U01-DK082992NIDDK NIH HHS U01 DK083020NIDDK NIH HHS U01-DK083020NIDDK NIH HHS U01 DK083023NIDDK NIH HHS U01-DK083023NIDDK NIH HHS U01 DK083027NIDDK NIH HHS U01-DK083027NIDDK NIH HHS U01 DK100928NIDDK NIH HHS U01-DK100928NIDDK NIH HHS U24 DK065176NIDDK NIH HHS U24-DK065176
6 · The paper itself

Abstract

BACKGROUND AND

aimsRoussel Uclaf Causality Assessment Method (RUCAM) for DILI has been hindered by subjectivity and poor reliability. We sought to improve the RUCAM using data from the Drug-Induced Liver Injury Network (DILIN) and the Spanish DILI Registry, published literature, and iterative computer modeling. APPROACH AND

resultsRUCAM criteria were updated, clarified, and computerized. We removed criteria 3 (risk factors) for lack of added value and criteria 4 because we felt it more useful to assess each drug separately. Criteria 6 (drug-specific risk) was anchored to LiverTox likelihood scores. Iterative testing in subsets of 50-100 single-agent, nonherbal cases from both registries was done to optimize performance. We used classification tree analysis to establish diagnostic cutoffs for this revised electronic causality assessment method (RECAM) and compared RECAM with RUCAM for correlation with expert opinion diagnostic categories in 194 DILI cases (98 DILIN, 96 Spanish DILI). Area under receiver operator curves for identifying at least probable DILI were the same at 0.89 for RECAM and RUCAM. However, RECAM diagnostic categories have better observed overall agreement with expert opinion (0.62 vs. 0.56 weighted kappa, p = 0.14), and had better sensitivity to detect extreme diagnostic categories (73 vs. 54 for highly likely or high probable, p = 0.02; 65 vs. 48 for unlikely/excluded, p = 0.08) than RUCAM diagnostic categories.

conclusionsRECAM is an evidence-based update that is at least as capable as RUCAM in diagnosing DILI compared with expert opinion but is better than RUCAM at the diagnostic extremes. RECAM's increased objectivity and clarity will improve precision, reliability, and standardization of DILI diagnosis, but further refinement and validation in other cohorts are needed.

Indexed as

Chemical and Drug Induced Liver InjuryDyphyllineCausalityElectronicsHumansReproducibility of ResultsDyphylline

Identifiers

PMID35014066
PMCPMC9233102

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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.