Evidence map›Paper›PMID 39547959›Full record

ArticleJournal of the American Heart Association2024

Associations of Metabolic Dysfunction-Associated Fatty Liver Disease With Peripheral Artery Disease: Prospective Analysis in the UK Biobank and ARIC Study.

YueRuiJing Liu, JinQi Wang, Rui Jin, ZongKai Xu, XiaoYu Zhao, YunFei Li, YanChen Zhao, ZhiYuan Wu, XiuHua Guo, LiXin Tao

Abstract readMulticenter Study
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
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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.

YueRuiJing LiuBeijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health Capital Medical University Beijing China.
JinQi WangBeijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health Capital Medical University Beijing China.
Rui JinBeijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health Capital Medical University Beijing China.
ZongKai XuBeijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health Capital Medical University Beijing China.ORCID 0000-0002-8774-7486
XiaoYu ZhaoBeijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health Capital Medical University Beijing China.
YunFei LiBeijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health Capital Medical University Beijing China.
YanChen ZhaoBeijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health Capital Medical University Beijing China.
ZhiYuan WuHarvard T. H. Chan School of Public Health Boston MA USA.ORCID 0000-0001-5694-2441
XiuHua GuoBeijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health Capital Medical University Beijing China.ORCID 0000-0001-6657-6940
LiXin TaoBeijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health Capital Medical University Beijing China.ORCID 0000-0002-2135-046X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is currently limited evidence comparing the association between metabolic dysfunction-associated fatty liver disease (MAFLD), nonalcoholic fatty liver disease (NAFLD), and the risk of peripheral artery disease (PAD). This study aims to analyze the associations of MAFLD and NAFLD with incident PAD. METHODS AND

resultsTwo longitudinal studies, the UKB (UK Biobank) study (n=372 216) and the ARIC (Atherosclerosis Risk in Communities) study (n=4681), categorized participants into MAFLD/non-MAFLD groups and NAFLD/non-NAFLD groups. Subsequently, participants were classified into 4 groups: non-fatty liver disease, MAFLD-only, NAFLD-only, and both MAFLD and NAFLD groups. Cox proportional hazard model estimated associations of MAFLD/NAFLD status, subtypes, and liver fibrosis severity with PAD risk. The MAFLD group had a higher risk of incident PAD compared with the non-MAFLD group, and similarly, the NAFLD group had a higher risk compared with the non-NAFLD group. Among these 4 groups, the MAFLD-only group had the strongest association with the risk of incident PAD, while the NAFLD-only group was not independently associated. Diabetic MAFLD subtype was significantly associated with increased PAD risk, and higher level of liver fibrosis scores correlated with elevated PAD risk.

conclusionsBoth MAFLD and NAFLD are significantly associated with an increased incidence of PAD, with stronger associations in MAFLD and diabetic MAFLD population. These findings emphasize that the need for screening and prevention strategies for PAD in this high-risk population is warranted. The assessment of MAFLD and its subtypes should be considered as an integral component of cardiovascular risk assessment.

Indexed as

Non-alcoholic Fatty Liver DiseasePeripheral Arterial DiseaseAgedBiological Specimen BanksFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedProspective StudiesRisk AssessmentRisk FactorsUK BiobankUnited KingdomUnited StatesARICmetabolic dysfunction–associated fatty liver diseasenonalcoholic fatty liver diseaseperipheral artery diseaseUK Biobank

Identifiers

PMID39547959
PMCPMC11681420

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.