Evidence map›Paper›PMID 27085756›Full record

ArticleClinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association2016

Development of a Model to Predict Transplant-free Survival of Patients With Acute Liver Failure.

David G Koch, Holly Tillman, Valerie Durkalski, William M Lee, Adrian Reuben

Registry-linked trialAbstract read
In one paragraph

Article in Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00518440 (A Multi-Center Trial to Study Acute Liver Failure in Adults), which is not on this map. Cited by 58 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing 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.

NCT00518440 completednot on this map

A Multi-Center Trial to Study Acute Liver Failure in Adults

TypeobservationalSponsorWilliam LeeRan1998 to 2019Enrolled3,488ConditionsAcute Liver Failure, Fulminant Hepatic Failure, Acute Liver Injury
3 · Its place in the literature

Who cites it

58 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. Review
  5. Article
  6. Clinical and pathological spectrum of disease severity among patients with acute liver failure (ALF) undergoing deceased donor liver transplantation.Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society · 2025
    Article
  7. Article
  8. Review
  9. Hepatitis B Virus Variants and Cytokine Patterns in Acute Liver Failure and Transplant-Free Survival.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Observational
  10. Article
  11. Observational
  12. Article
  13. Article
  14. Ammonia and urea metabolism in acute liver failure: A multicentre cohort study.Liver international : official journal of the International Association for the Study of the Liver · 2024
    Observational
  15. Article
  16. Acute liver failure: A practical update.JHEP reports : innovation in hepatology · 2024
    Review
  17. Article
  18. Review
  19. Article
  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

5 authors.

David G KochDivision of Gastroenterology and Hepatology, Medical University of South Carolina, Charleston, South Carolina. Electronic address: kochd@musc.edu.
Holly TillmanDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina.
Valerie DurkalskiDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina.
William M LeeDivision of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center at Dallas, Dallas, Texas.
Adrian ReubenDivision of Gastroenterology and Hepatology, Medical University of South Carolina, Charleston, South Carolina.

Funding

A Multi-Center Study of Acute Liver Failure in AdultsU01DK058369 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI DURKALSKI, VALERIE L, FONTANA, ROBERT J · 2005 to 2019
$27.4M
A MULTI-CENTER THERAPY TRIAL FOR ACUTE LIVER FAILURER01DK058369 · NIDDK · UNIVERSITY OF TEXAS SW MED CTR/DALLAS · PI LEE, WILLIAM M · 2000 to 2004
$4.2M
NIDDK NIH HHS R01 DK058369NIDDK NIH HHS U01 DK058369
6 · The paper itself

Abstract

BACKGROUND &

aimsPatients with acute liver failure (ALF) have a high risk of death that can be substantially reduced with liver transplantation. It is a challenge to predict which patients with ALF will survive without liver transplant because available prognostic scoring systems are inadequate. We devised a mathematical model, using a large dataset collected by the Acute Liver Failure Study Group, which can predict transplant-free survival in patients with ALF.

methodsWe performed a retrospective analysis of data from 1974 subjects who met criteria for ALF (coagulopathy and hepatic encephalopathy within 26 weeks of the first symptoms, without pre-existing liver disease) enrolled in the Acute Liver Failure Study Group database from January 1, 1998 through June 11, 2013. We randomly assigned the subjects to development and validation cohorts. Data from the development cohort were analyzed to identify factors associated with transplant-free survival (alive without transplantation by 21 days after admission to the study). Statistically significant variables were used to create a multivariable logistic regression model.

resultsMost subjects were women (70%) and white (78%); acetaminophen overdose was the most common cause (48% of subjects). The rate of transplant-free survival was 50%. Admission values of hepatic encephalopathy grade, ALF etiology, vasopressor use, and log transformations of bilirubin and international normalized ratio were significantly associated with transplant-free survival, based on logistic regression analysis. In the validation cohort, the resulting model predicted transplant-free survival with a C statistic value of 0.84, 66.3% accuracy (95% confidence interval, 63.1%-69.4%), 37.1% sensitivity (95% confidence interval, 32.5%-41.8%), and 95.3% specificity (95% confidence interval, 92.9%-97.1%).

conclusionsUsing data from the Acute Liver Failure Study Group, we developed a model that predicts transplant-free survival of patients with ALF based on easily identifiable hospital admission data. External validation studies are required.

Indexed as

Decision Support TechniquesModels, TheoreticalAdultFemaleHumansLiver Failure, AcuteMaleMiddle AgedPrognosisRetrospective StudiesSurvival AnalysisAcute Liver FailureMortalityPredictive ModelPrognosis

Identifiers

PMID27085756
PMCPMC6055510

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.