Evidence map›Paper›PMID 41257242›Full record

ArticleDiabetes spectrum : a publication of the American Diabetes Association2025

Screening for Metabolic Dysfunction-Associated Steatotic Liver Disease in Patients With Type 2 Diabetes: Are We Doing Enough?

Sun H Kim, Gavin Hui, C William Pike, Michael L Jackson, Marcie Levine, Paul Kwo

Abstract read
In one paragraph

Article in Diabetes spectrum : a publication of the American Diabetes Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

6 authors.

Sun H KimDivision of Endocrinology, Gerontology and Metabolism, Stanford University, Palo Alto, CA.ORCID https://orcid.org/0000-0003-0895-7491
Gavin HuiAtropos Health, New York, NY.
C William PikeAtropos Health, New York, NY.
Michael L JacksonAtropos Health, New York, NY.
Marcie LevineDivision of Internal Medicine, Stanford University, Palo Alto, CA.
Paul KwoDivision of Gastroenterology and Hepatology, Stanford University, Palo Alto, CA.

Funding

Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
NIDDK NIH HHS P30 DK116074
6 · The paper itself

Abstract

objectivePatients with type 2 diabetes are at an elevated risk for metabolic dysfunction-associated steatotic liver disease and advanced liver fibrosis. Multiple professional societies recommend initiating screening with a fibrosis-4 (FIB-4) index score calculation. This study aimed to evaluate the frequency of laboratory assessments necessary for FIB-4 score calculation in patients with type 2 diabetes. RESEARCH DESIGN AND

methodsA retrospective analysis of de-identified electronic medical records from 337,094 patients aged 40-75 years with type 2 diabetes was conducted to evaluate the completion rate of FIB-4 scoring and adherence to other recommended measurements and medications, including urinary albumin measurement and statin use.

resultsOnly 33% of patients with type 2 diabetes had all necessary components for FIB-4 score calculation, although this rate increased significantly over time (odds ratio 2.51, 95% CI 2.44-2.58) in the period from 2020 to April 2024 compared with 2010-2014. Urinary albumin measurements also increased but remained low at 13% during the period from 2020 to April 2024. Prescriptions for statin and newer antihyperglycemic medications significantly increased.

conclusionOur findings indicate that, although testing frequency for liver health in patients with type 2 diabetes is gradually increasing, substantial gaps in clinical practice persist.

Identifiers

PMID41257242
PMCPMC12620734

What OpenQuestion holds

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Registered trials

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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.