Evidence map›Paper›PMID 42428029›Full record

ArticleJournal of diabetes and metabolic disorders2026

Discordance between adiposity and FIB-4 risk classification in US adults.

Luyu Xie, Diego Anazco, Azucena Herrera Chancay, Sarah E Messiah, Jaime P Almandoz

Abstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 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

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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

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5 · Who and what money

Authors and funding

5 authors.

Luyu Xie *Quantitative Biomedical Research Center, Department of Health Data Science and Biostatistics, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX USA.ORCID 0000-0003-4499-0555
Diego Anazco *Department of Internal Medicine, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, 75390 TX USA.ORCID 0000-0003-1829-7001
Azucena Herrera ChancayDivision of Endocrinology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX USA.
Sarah E MessiahDepartment of Epidemiology, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX USA.ORCID 0000-0001-6685-2175
Jaime P AlmandozDivision of Endocrinology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX USA.ORCID 0000-0002-0462-0843

Funding

UT Southwestern NORCP30DK127984 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI Jeffrey M Zigman · 2022 to 2026
$7.4M
NIDDK NIH HHS P30 DK127984
6 · The paper itself

Abstract

Purpose: The fibrosis-4 index (FIB-4) is a widely used noninvasive tool for fibrosis risk stratification, however, the relationship between adiposity and FIB-4-based risk classification remains unclear. We evaluated the associations between multiple measurements of adiposity and FIB-4 risk classification in a nationally representative sample of U.S. adults. Methods: We analyzed data from 10,711 adults aged 35-65 years from the 2011-2018 NHANES. Examined anthropometric measures included body mass index (BMI), total body fat percentage (TBFP), waist circumference (WC), and waist-to-hip ratio (WH). We conducted logistic regression models to evaluate the association between anthropometric measurements and high-risk FIB-4 classification and to assess whether these associations differed by age group. Results: Most participants had low-risk FIB-4 scores (72.9%), followed by intermediate-risk (25.1%) and high-risk (2%). Individuals with low FIB-4 risk classification had higher BMI, TBFP and WC ( Conclusion: Higher adiposity was associated with lower likelihood of high-risk FIB-4 classification. Age-stratified analyses suggested a potential discordance in the association between adiposity and FIB-4 risk classification across age groups. These findings suggest a potential discordance between adiposity-related metabolic risk and FIB-4-based risk classification, suggesting the need for age- and adiposity-informed risk assessment strategies for individuals at risk for hepatic fibrosis.

Indexed as

adipositybody compositionfibrosismetabolic dysfunctio-associated steatotic liver diseaseobesity

Identifiers

PMID42428029
PMCPMC13346389

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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.