Evidence map›Paper›PMID 41714971›Full record

ArticleBMC cardiovascular disorders2026

Higher fatty liver index is associated with increased risk of incident atrial fibrillation in adults with diabetes: a prospective UK biobank study.

Xi Peng, Le Li, Lingmin Wu, Zhicheng Hu, Mengtong Xu, Sheng Su, Zhenhao Zhang, Minghao Zhao, Yulong Xiong, Jing Luo and 5 more

Abstract read
In one paragraph

Article in BMC cardiovascular 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.

0numbers the graph read from it
0cells of the map it votes in
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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Xi Peng *Arrhythmia Center, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Fuwai Hospital, Peking Union Medical College, Beijing, 100730, China.
Le Li *Arrhythmia Center, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Fuwai Hospital, Peking Union Medical College, Beijing, 100730, China.
Lingmin WuArrhythmia Center, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Fuwai Hospital, Peking Union Medical College, Beijing, 100730, China.
Zhicheng HuArrhythmia Center, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Fuwai Hospital, Peking Union Medical College, Beijing, 100730, China.
Mengtong XuArrhythmia Center, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Fuwai Hospital, Peking Union Medical College, Beijing, 100730, China.
Sheng SuArrhythmia Center, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Fuwai Hospital, Peking Union Medical College, Beijing, 100730, China.
Zhenhao ZhangArrhythmia Center, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Fuwai Hospital, Peking Union Medical College, Beijing, 100730, China.
Minghao ZhaoArrhythmia Center, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Fuwai Hospital, Peking Union Medical College, Beijing, 100730, China.
Yulong XiongArrhythmia Center, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Fuwai Hospital, Peking Union Medical College, Beijing, 100730, China.
Jing LuoArrhythmia Center, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Fuwai Hospital, Peking Union Medical College, Beijing, 100730, China.
Tao ZhangArrhythmia Center, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Fuwai Hospital, Peking Union Medical College, Beijing, 100730, China.
Likun ZhouArrhythmia Center, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Fuwai Hospital, Peking Union Medical College, Beijing, 100730, China.
Lihui ZhengArrhythmia Center, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Fuwai Hospital, Peking Union Medical College, Beijing, 100730, China. zhenglihui@263.net.
Ligang DingArrhythmia Center, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Fuwai Hospital, Peking Union Medical College, Beijing, 100730, China. dlgang101@163.com.
Yan YaoArrhythmia Center, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences, Fuwai Hospital, Peking Union Medical College, Beijing, 100730, China. ianyao@263.net.cn.

Funding

Clinical and Translational Medicine Research Project of Chinese Academy of Medical Sciences 2022-LC04Noncommunicable Chronic Diseases-National Science and Technology Major Project 2024ZD0521900
6 · The paper itself

Abstract

backgroundWhether hepatic steatosis, as indexed by the fatty liver index (FLI), is associated with incident atrial fibrillation (AF) among adults with diabetes beyond shared cardiometabolic risk factors remains uncertain.

objectiveTo investigate the association between fatty liver index and incident atrial fibrillation in adults with diabetes.

methodsWe analyzed 29,341 UK Biobank participants with baseline diabetes and no history of atrial fibrillation or atrial flutter, and no prior cardiovascular disease. FLI was evaluated both categorically (< 30, 30–59, 60–89, ≥ 90) and continuously using restricted cubic splines. Incident AF was identified through linked health records, with death treated as a competing risk. Cox models were sequentially adjusted for demographics, lifestyle, socioeconomic status, and metabolic factors; Fine–Gray models were also applied. Sensitivity analyses included 1:10 propensity score matching (FLI ≥ 60 vs. < 60). Among participants with FLI ≥ 30, AF risk was further stratified by the number of metabolic abnormalities (hypertension, obesity, dyslipidemia), grouped as 0, 1, 2, or ≥ 3.

resultsOver a median follow-up of 14.1 years (13.4–14.7), 2,890 incident AF events occurred. AF incidence rose across FLI categories, from 4.88 (95% CI: 4.21–5.63) to 9.92 (95% CI: 9.38–10.48) per 1,000 person-years comparing FLI < 30 with FLI ≥ 90, an absolute difference of 5.04 (95% CI: 4.15–5.92). In fully adjusted Cox models, FLI ≥ 90 was associated with a higher AF risk (HR 1.64, 95% CI: 1.40–1.92; p < 0.001), with attenuated estimates for intermediate FLI groups and a significant trend across categories (p < 0.001). Among individuals with FLI ≥ 30, AF risk increased stepwise with the number of metabolic abnormalities. Spline analyses showed a nonlinear association (p < 0.001), with AF risk increasing more noticeably at higher FLI values, particularly in the very high range.

conclusionsAmong adults with diabetes, higher FLI was associated with a greater risk of incident AF after adjustment for measured demographic, lifestyle, and cardiometabolic factors, with the strongest association observed at very high FLI levels. These findings suggest that FLI may serve as an accessible marker for risk stratification in this high-risk population; however, residual confounding cannot be excluded and clinical utility for decision-making requires further validation.

Indexed as

Atrial FibrillationDiabetes MellitusFatty LiverAdultAgedBiological Specimen BanksFemaleHumansIncidenceMaleMiddle AgedProspective StudiesRisk AssessmentRisk FactorsTime FactorsUK BiobankAtrial fibrillationDiabetes mellitusFatty liver indexHepatic steatosisMetabolic dysfunction associated steatotic liver disease

Identifiers

PMID41714971
PMCPMC13020300

What Socratic holds

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LicenceCC BY-NC-ND
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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.