Evidence map›Paper›PMID 31302142›Full record

Observational studyGastroenterology2019

Development and Validation of a Model Consisting of Comorbidity Burden to Calculate Risk of Death Within 6 Months for Patients With Suspected Drug-Induced Liver Injury.

Marwan Ghabril, Jiezhun Gu, Lindsay Yoder, Laura Corbito, Amit Ringel, Christian D Beyer, Raj Vuppalanchi, Huiman Barnhart, Paul H Hayashi, Naga Chalasani

Open access · greenAbstract readMulticenter StudyObservational StudyValidation Study
In one paragraph

Observational study in Gastroenterology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.

  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. Multicenter Evaluation of Large Language Models Versus Hepatologists for Prognostic Prediction in Drug-Induced Liver Injury.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Article
  5. Review
  6. Liver Injury From Medications Used for Treating Inflammatory Bowel Disease: The Drug-Induced Liver Injury Network Experience.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Natural History of Idiosyncratic Drug-Induced Liver Injury and Prognostic Models.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Review
  13. Article
  14. [Interpretation of the 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 · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Drug-Induced Liver Injury: A Mexican View.Clinical liver disease · 2022
    Review
  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

10 authors at 4 institutions in 1 country.

Marwan GhabrilDivision of Gastroenterology and Hepatology, Indiana University, Indianapolis, Indiana.
Jiezhun GuDuke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina.
Lindsay YoderDivision of Gastroenterology and Hepatology, Indiana University, Indianapolis, Indiana.
Laura CorbitoDivision of Gastroenterology and Hepatology, Indiana University, Indianapolis, Indiana.
Amit RingelDivision of Gastroenterology and Hepatology, University of North Carolina, Chapel Hill, North Carolina.
Christian D BeyerDivision of Gastroenterology and Hepatology, University of North Carolina, Chapel Hill, North Carolina.
Raj VuppalanchiDivision of Gastroenterology and Hepatology, Indiana University, Indianapolis, Indiana.
Huiman BarnhartDuke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina.
Paul H HayashiDuke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina.
Naga ChalasaniDivision of Gastroenterology and Hepatology, Indiana University, Indianapolis, Indiana. Electronic address: nchalasa@iu.edu.
Indiana University – Purdue University Indianapolis · USClinical Research Institute · USUniversity of North Carolina at Chapel Hill · USIndiana University Health · US

Funding

Drug Induced Liver Injury Network Data Coordinating CenterU01DK065176 · NIDDK · DUKE UNIVERSITY · PI Huiman X Barnhart · 2003 to 2026
$25.5M
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
USC-UCLA Drug-Induced Liver Injury (DILI) Clinical Center.U01DK083020 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Lily Dara · 2008 to 2026
$5.9M
Mount Sinai Regional Drug Induced Liver Injury Network SiteU01DK100928 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI AHMAD, JAWAD, ODIN, JOSEPH · 2013 to 2022
$4.0M
NIDDK NIH HHS U01 DK065176NIDDK NIH HHS U01 DK065184NIDDK NIH HHS U01 DK065201NIDDK NIH HHS U01 DK065211NIDDK NIH HHS U01 DK083020NIDDK NIH HHS U01 DK100928NIDDK NIH HHS U24 DK065176
6 · The paper itself

Abstract

BACKGROUND &

aimsPatients with drug-induced liver injury (DILI) frequently have comorbid conditions, but the effects of non-liver comorbidities on outcomes are not well understood. We investigated the association between comorbidity burden and outcomes of patients with DILI, and developed and validated a model to calculate risk of death within 6 months.

methodsA multiple logistic regression model identified variables independently associated with death within 6 months of presenting with suspected DILI (6-month mortality) for 306 patients enrolled in the Drug-Induced Liver Injury Network prospective study at Indiana University (discovery cohort). The model was validated using data from 247 patients with suspected DILI enrolled in the same study at the University of North Carolina (validation cohort). Medical comorbidity burden was calculated using the Charlson Comorbidity Index-patients with scores higher than 2 were considered to have significant comorbidities.

resultsSix-month mortality was 8.5% in the discovery cohort and 4.5% in the validation cohort. In the discovery cohort, significant comorbidities (odds ratio, 5.4; 95% confidence interval [CI], 2.1-13.8), Model for End-Stage Liver Disease score (odds ratio, 1.11; 95% CI, 1.04-1.17), and serum level of albumin at presentation (odds ratio, 0.39; 95% CI, 0.2-0.76) were independently associated with 6-month mortality. A model based on these 3 variables identified patients who died within 6 months, with c-statistic values of 0.89 (95% CI, 0.86-0.94) in the discovery cohort and 0.91 (95% CI, 0.83-0.99) in the validation cohort. We developed a web-based calculator for use in the clinic to determine risk of death within 6 months for patients with suspected DILI.

conclusionsWe developed and validated a model based on comorbidity burden, Model for End-Stage Liver Disease score, and serum level of albumin that predicts 6-month mortality in patients with suspected DILI.

Indexed as

Health Status IndicatorsAdultAgedCause of DeathChemical and Drug Induced Liver InjuryComorbidityFemaleHealth StatusHumansMaleMiddle AgedPredictive Value of TestsPrognosisProspective StudiesReproducibility of ResultsRisk AssessmentCCIDILIN Prospective StudyMELD

Identifiers

PMID31302142
PMCPMC6815697
OpenAlexW2960756630

What OpenQuestion holds

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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.