Evidence map›Paper›PMID 42846596›Full record

ArticleFrontiers in nutrition2026

Association between the triglyceride-high-density lipoprotein-glucose-body index and atrial fibrillation: a retrospective case-control study.

Yunling Geng, Xuebo Li, Yang Yang, Chaoqun Huang, Shangzhi Shu, Shuyan Li

Abstract read
In one paragraph

Article in Frontiers in nutrition, 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

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yunling GengDepartment of Cardiovascular Disease, The First Hospital of Jilin University, Changchun, China.
Xuebo LiDepartment of Cardiovascular Disease, The First Hospital of Jilin University, Changchun, China.
Yang YangDepartment of Cardiovascular Disease, The First Hospital of Jilin University, Changchun, China.
Chaoqun HuangDepartment of Cardiovascular Disease, The First Hospital of Jilin University, Changchun, China.
Shangzhi ShuDepartment of Cardiovascular Disease, The First Hospital of Jilin University, Changchun, China.
Shuyan LiDepartment of Cardiovascular Disease, The First Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The triglyceride-glucose (TyG) index is a surrogate marker of insulin resistance and has been associated with atrial fibrillation (AF) risk, but it does not capture adiposity. The triglyceride-high-density lipoprotein-glucose-body (TyHGB) index, which integrates lipid profile, glucose metabolism, and body mass index, may provide a more comprehensive metabolic assessment. However, evidence regarding its association with AF remains limited. Methods: This retrospective case-control study included 1,137 participants (314 non-AF controls, 414 paroxysmal AF, and 409 persistent AF). Multivariable logistic regression was performed using three hierarchical models. Restricted cubic splines were used to examine non-linear relationships. Receiver operating characteristic curves were generated to compare the predictive performance of TyHGB, TyG, and their combination. Results: Both TyHGB and TyG were independently associated with AF risk across all models (all Conclusions: TyHGB is a novel, simple, and low-cost metabolic index independently associated with AF risk, with predictive performance comparable to TyG. It may serve as a convenient complementary marker for metabolic risk assessment in clinical practice.

Indexed as

atrial fibrillationinsulin resistanceobesityTyGTyHGB

Identifiers

PMID42846596
PMCPMC13644583

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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.