Evidence mapPaperPMID 41801201Full record

ArticleJAMA network open2026

Sex-Specific Cardiometabolic Profiles and Severity of Liver Fibrosis.

Somaya Albhaisi, Steve Kim, Norah Terrault, Jennifer L Dodge

Abstract read
In one paragraph

Article in JAMA network open, 2026. 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

4 authors.

Somaya AlbhaisiDivision of Gastrointestinal and Liver Diseases, Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles.
Steve KimDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.
Norah TerraultDivision of Gastrointestinal and Liver Diseases, Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles.
Jennifer L DodgeDivision of Gastrointestinal and Liver Diseases, Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles.

Funding

Translational Research Training in HepatologyT32DK127977 · UNIVERSITY OF SOUTHERN CALIFORNIA · 2025 to 2025
$411k
NIDDK NIH HHS T32 DK127977
6 · The paper itself

Abstract

Importance: Advanced liver fibrosis is increasing globally, with women experiencing faster progression despite lower prevalence. Cardiometabolic risk factors (CMRFs) may be differentially associated with fibrosis risk by sex. Objective: To examine sex differences in the association between individual CMRFs and significant liver fibrosis among US adults. Design, Setting, and Participants: This population-based, cross-sectional study was conducted using data from the US National Health and Nutrition Examination Survey, 2017 to 2020. Adults aged 20 years or older with valid transient elastography measurements were included. Data were analyzed from July 2024 through December 2025. Exposures: CMRFs, including high waist circumference (>102 cm in men or 88 cm in women), glucose intolerance, hypertension, hypertriglyceridemia, and low high-density lipoprotein cholesterol levels, were assessed, as well as obesity (body mass index ≥30 or ≥27.5 for Asian participants) and the presence of 2 or more CMRFs. Main Outcomes and Measures: Clinically significant fibrosis was defined as a liver stiffness of 8.0 kPa or greater by transient elastography. Multivariable logistic regression evaluated associations between CMRFs and significant fibrosis, adjusting for age, sex, race and ethnicity, smoking, and alcohol and testing CMRF by sex interactions. Results: The study population of 5981 participants included 2992 women (weighted percentage: 50.2% [95% CI, 48.2%-52.2%]; 14.7% Hispanic [95% CI, 12.0%-18.0%], 11.0% non-Hispanic Black [95% CI, 8.2%-14.7%], and 65.0% non-Hispanic White [95% CI, 59.4%-70.3%]; mean age, 49 years [95% CI, 48-50 years]) and 2989 men (weighted percentage: 49.8% [95% CI, 47.8%-51.8%]; 16.4% Hispanic [95% CI, 13.2%-20.2%], 9.4% non-Hispanic Black [95% CI, 7.3%-11.9%], and 64.6% non-Hispanic White [95% CI, 59.6%-69.3%]; mean age, 47 years [95% CI, 46-48 years]). Women had higher prevalence of high waist circumference (69.0% [95% CI, 66.1%-71.7%] vs 48.6% [95% CI, 44.3%-53.1%]) and lower prevalence of hypertension (41.0% [95% CI, 38.2%-43.8%] vs 44.9% [95% CI, 41.5%-48.4%]), glucose intolerance (31.1% [95% CI, 28.7%-33.5%] vs 41.7% [95% CI, 38.6%-44.9%]), and hypertriglyceridemia (36.6% [95% CI, 34.0%-39.3%] vs 48.8% [95% CI, 44.6%-52.9%]) compared with men. The prevalence of significant fibrosis was 6.9% (95% CI, 5.4%-8.8%) in women and 10.7% (95% CI, 8.8%-12.9%) in men. The point estimates in the association with significant fibrosis were significantly greater in women vs men for high waist circumference (adjusted odds ratio [aOR], 13.45 [95% CI, 5.70-31.78] vs aOR, 4.44 [95% CI, 3.00-6.57]; P for interaction = .01), glucose intolerance (aOR, 2.94 [95% CI, 1.64-5.28] vs aOR, 1.51 [95% CI, 1.08-2.13]; P for interaction = .045), and the presence of 2 or more CMRFs (aOR, 10.22 [95% CI, 4.76-21.95] vs aOR, 2.87 [95% CI, 1.91-4.31]; P for interaction = .002). Conclusions and Relevance: In this study, the presence of 2 or more CMRFs was associated with a greater increase in risk of significant fibrosis for women compared with men. Central adiposity and glucose intolerance were also associated with greater increases in risk among women.. These findings support the need for sex-specific screening approaches.

Indexed as

Cardiometabolic Risk FactorsLiver CirrhosisAdultCross-Sectional StudiesElasticity Imaging TechniquesFemaleGlucose IntoleranceHumansHypertriglyceridemiaMaleMiddle AgedNutrition SurveysPrevalenceRisk FactorsSeverity of Illness IndexSex Factors

Identifiers

PMID41801201
PMCPMC12973100

What Socratic 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 Socratic graph.