Evidence map›Paper›PMID 36814048›Full record

ArticleJournal of general internal medicine2023

Real-World Primary Care Data Comparing ALT and FIB-4 in Predicting Future Severe Liver Disease Outcomes.

Andrew D Schreiner, Jingwen Zhang, William P Moran, David G Koch, Sherry Livingston, Chloe Bays, Justin Marsden, Patrick D Mauldin, Mulugeta Gebregziabher

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  6. Objective Measures of Cardiometabolic Risk and Advanced Fibrosis Risk Progression in Primary Care Patients With Metabolic Dysfunction-Associated Steatotic Liver Disease.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2024
    Article
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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

9 authors at 1 institution in 1 country.

Andrew D SchreinerMedical University of South Carolina, Charleston, SC, USA. schrein@musc.edu.ORCID 0000-0003-0914-3182
Jingwen ZhangMedical University of South Carolina, Charleston, SC, USA.
William P MoranMedical University of South Carolina, Charleston, SC, USA.
David G KochMedical University of South Carolina, Charleston, SC, USA.
Sherry LivingstonMedical University of South Carolina, Charleston, SC, USA.
Chloe BaysMedical University of South Carolina, Charleston, SC, USA.
Justin MarsdenMedical University of South Carolina, Charleston, SC, USA.
Patrick D MauldinMedical University of South Carolina, Charleston, SC, USA.
Mulugeta GebregziabherMedical University of South Carolina, Charleston, SC, USA.
Medical University of South Carolina · US

Funding

South Carolina Clinical & Translational Research Institute (SCTR)UL1TR001450 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T., FLUME, PATRICK A · 2015 to 2024
$41.1M
Proteomics CoreP30DK123704 · NIDDK · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI RICHARD R. DRAKE · 2020 to 2026
$8.8M
Improving the Diagnosis of Liver Disease in Primary Care Patients with Abnormal Liver FunctionK23DK118200 · NIDDK · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI SCHREINER, ANDREW DAVID · 2018 to 2022
$866k
Improving the Diagnosis and Fibrosis Risk Assessment of Nonalcoholic Fatty Liver Disease in Primary Care Patients with Abnormal Liver ChemistriesR03DK129558 · NIDDK · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI SCHREINER, ANDREW DAVID · 2022 to 2023
$226k
NCATS NIH HHS UL1 TR001450NIDDK NIH HHS K23 DK118200NIDDK NIH HHS P30 DK123704NIDDK NIH HHS R03 DK129558
6 · The paper itself

Abstract

backgroundAlanine aminotransferase (ALT) has long provided a cue for chronic liver disease (CLD) diagnostic evaluation, but the Fibrosis-4 Index (FIB-4), a serologic score used for predicting advanced fibrosis risk in CLD, may provide an alternative signal.

objectiveCompare the predictive performance of FIB-4 with ALT for severe liver disease (SLD) events while adjusting for potential confounders.

designRetrospective cohort study of primary care electronic health record data from 2012 to 2021. PATIENTS: Adult primary care patients with at least two sets of ALT and other lab values necessary for calculating two unique FIB-4 scores, excluding those patients with an SLD prior to their index FIB-4 value. MAIN MEASURES: The occurrence of an SLD event, a composite of cirrhosis, hepatocellular carcinoma, and liver transplantation, was the outcome of interest. Categories of ALT elevation and FIB-4 advanced fibrosis risk were the primary predictor variables. Multivariable logistic regression models were developed to evaluate the association of FIB-4 and ALT with SLD, and the areas under the curve (AUC) for each model were compared. KEY

resultsThe cohort of 20,828 patients included 14% with an abnormal index ALT (≥40 IU/L) and 8% with a high-risk index FIB-4 (≥2.67). During the study period, 667 (3%) patients suffered an SLD event. Adjusted multivariable logistic regression models demonstrated an association between high-risk FIB-4 (OR 19.34; 95%CI 15.50-24.13), persistently high-risk FIB-4 (OR 23.85; 95%CI 18.24-31.17), abnormal ALT (OR 7.07; 95%CI 5.81-8.59), and persistently abnormal ALT (OR 7.58; 95%CI 5.97-9.62) with SLD outcomes. The AUC of the index FIB-4 (0.847, p < 0.001) and combined FIB-4 (0.849, p < 0.001) adjusted models exceeded the index ALT adjusted model (0.815).

conclusionsHigh-risk FIB-4 scores demonstrated superior performance compared to abnormal ALT in predicting future SLD outcomes.

Indexed as

LiverLiver CirrhosisAdultAlanine TransaminaseBiomarkersBiopsyHumansPrimary Health CareRetrospective StudiesSeverity of Illness IndexAlanine TransaminaseBiomarkersalanine aminotransferasechronic liver diseasecirrhosisfibrosisfibrosis-4 index

Identifiers

PMID36814048
PMCPMC10465412
OpenAlexW4321490268

What OpenQuestion holds

Textmetadata
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.