Evidence map›Paper›PMID 40624322›Full record

ArticleJournal of general internal medicine2026

Diagnosis of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) at Risk for Advanced Fibrosis in a Real-World Primary Care Setting: A Cross-Sectional Study.

Andrew D Schreiner, Jingwen Zhang, Vincent Bolus, Justin Marsden, Chloe Bays, Ahmed Mohamed, William P Moran, Patrick D Mauldin, Mulugeta Gebregziabher, Don C Rockey

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Andrew D SchreinerDepartment of Medicine, Medical University of South Carolina, Charleston, USA. schrein@musc.edu.
Jingwen ZhangDepartment of Medicine, Medical University of South Carolina, Charleston, USA.
Vincent BolusDepartment of Medicine, Medical University of South Carolina, Charleston, USA.
Justin MarsdenDepartment of Medicine, Medical University of South Carolina, Charleston, USA.
Chloe BaysDepartment of Medicine, Medical University of South Carolina, Charleston, USA.
Ahmed MohamedDepartment of Medicine, Medical University of South Carolina, Charleston, USA.
William P MoranDepartment of Medicine, Medical University of South Carolina, Charleston, USA.
Patrick D MauldinDepartment of Medicine, Medical University of South Carolina, Charleston, USA.
Mulugeta GebregziabherDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, USA.
Don C RockeyDepartment of Medicine, Medical University of South Carolina, Charleston, USA.

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 ZHI ZHONG · 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 K23DK118200NIDDK NIH HHS P30DK123704NIDDK NIH HHS R03 DK129558NIDDK NIH HHS R03DK129558
6 · The paper itself

Abstract

backgroundRecent guidelines provide recommendations for diagnosing metabolic dysfunction-associate steatotic liver disease (MASLD) when hepatic steatosis is seen radiographically, but questions remain as to when to pursue imaging for the evidence of hepatic steatosis.

objectiveWe aimed to test the performance of traditional MASLD case-finding cues for detecting MASLD at-risk for advanced fibrosis.

designWe performed a cross-sectional study of electronic health record data from a large primary care clinic between 2012 and 2021. PATIENTS: Patients with abdominal imaging and inputs for Fibrosis-4 Index (FIB-4) calculation. MAIN MEASURES: We examined the performance characteristics of type 2 diabetes mellitus (T2DM), a BMI ≥ 30 kg/m KEY

resultsThe sample included 9000 patients of whom 1683 (19%) patients had MASLD and 696 (8%) had MASLD and an indeterminate-risk or greater for advanced fibrosis. T2DM, BMI ≥ 30 kg/m

conclusionsWhile historical cues for MASLD case finding had low sensitivities individually, the union of these three, simple, broadly available signals had a high sensitivity for MASLD at-risk for advanced fibrosis.

Indexed as

Fatty LiverLiver CirrhosisAdultAgedAlanine TransaminaseBody Mass IndexCross-Sectional StudiesDiabetes Mellitus, Type 2Electronic Health RecordsFemaleHumansMaleMiddle AgedPrimary Health CareRisk FactorsAlanine TransaminaseAdvanced fibrosisFIB-4MASHMASLDSteatosis

Identifiers

PMID40624322
PMCPMC12855709

What Socratic holds

Textmetadata
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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 Socratic graph.