Evidence map›Paper›PMID 42908793›Full record

ArticleFrontiers in cardiovascular medicine2026

Linking liver fibrosis to cardiac structure, function, and heart disease: a community-based fibrosis-4 index study.

Rongrong Yang, Yubo Li, Xingxu Yan, Jiao Wang, Min Zhu, Sakura Sakakibara, Abigail Dove, Weili Xu

Abstract read
In one paragraph

Article in Frontiers in cardiovascular 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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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Rongrong Yang *Public Health Science and Engineering College, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Yubo Li *National Key Laboratory of Chinese Medicine Modernization, State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Xingxu YanNational Key Laboratory of Chinese Medicine Modernization, State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Jiao WangAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Min ZhuPublic Health Science and Engineering College, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Sakura SakakibaraAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Abigail DoveAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Weili XuAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Fibrosis-4 Index (FIB-4) is a non-invasive tool used to assess advanced liver fibrosis. Although liver fibrosis has been linked to heart disease, its relationship with cardiac structure and function remains unclear. Objectives: This study examined associations of FIB-4 with incident heart disease and cardiac morpho-functional phenotypes and explored whether cardiac phenotypes statistically accounted for part of the association. Methods: In this prospective cohort study using the UK Biobank, 416,001 participants without known heart or liver disease at baseline (mean age 56.15 ± 8.09 years; 55.78% female) were followed for up to 17 years. FIB-4, calculated from age, AST, ALT, and platelet count, was analyzed continuously and using a high-risk threshold of >2.67. Incident coronary heart disease, cardiac arrhythmias (CA), and heart failure (HF) were identified from linked records. A subset of 33,927 participants underwent cardiovascular magnetic resonance (CMR) imaging a median of 10.20 years after baseline. Results: Over a median follow-up of 14.61 years, 57,207 participants (13.75%) developed heart disease. Higher FIB-4 was associated with CA (HR = 1.32, 95% CI 1.24-1.41), HF (HR = 1.29, 95% CI 1.14-1.47), greater LV mass ( Conclusion: Elevated FIB-4 was associated with incident CA and HF and with adverse CMR phenotypes. Exploratory pathway results were consistent with indirect pathways through cardiac remodeling, but the observational design and single CMR assessment preclude causal or temporal interpretation. FIB-4 may help identify people at higher cardiovascular risk.

Indexed as

cardiac phenotypescommunity-based cohort studyfibrosis-4 indexheart diseasemagnetic resonance imaging

Identifiers

PMID42908793
PMCPMC13683155

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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.