Evidence map›Paper›PMID 38581024›Full record

ArticleCardiovascular diabetology2024

Association between triglyceride-glucose index trajectories and radiofrequency ablation outcomes in patients with stage 3D atrial fibrillation.

Sixiang Jia, Yanping Yin, Xuanting Mou, Jing Zheng, Zhe Li, Tianli Hu, Jianqiang Zhao, Jiangbo Lin, Jiaqi Song, Fanli Cheng and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% of its field
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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

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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

16 authors at 4 institutions in 1 country.

Sixiang Jia *Department of Cardiology, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
Yanping Yin *Department of Cardiology, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Dongdu Road Linhai, Linhai, Zhejiang Province, 317000, China.
Xuanting Mou *Department of Cardiology, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
Jing ZhengDepartment of Cardiology, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
Zhe LiDepartment of Cardiology, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
Tianli HuDepartment of Cardiology, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
Jianqiang ZhaoDepartment of Cardiology, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
Jiangbo LinDepartment of Cardiology, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Dongdu Road Linhai, Linhai, Zhejiang Province, 317000, China.
Jiaqi SongDepartment of Endocrinology, Yiwu Central Hospital, Yiwu, 322000, China.
Fanli ChengDepartment of Cardiology, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
Yiran WangDepartment of Cardiology, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
Kaini LiDepartment of Cardiology, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
Wenting LinDepartment of Cardiology, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
Chao FengDepartment of Cardiology, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China.
Weili GeDepartment of Cardiology, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Dongdu Road Linhai, Linhai, Zhejiang Province, 317000, China. gewl@enzemed.com.
Shudong XiaDepartment of Cardiology, International School of Medicine, the Fourth Affiliated Hospital of School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, 322000, China. shystone@zju.edu.cn.
Wenzhou Medical University · CNQuzhou City People's Hospital · CNYichang Central People's Hospital · CNZhejiang International Studies University · CN

Funding

National Natural Science Foundation of China 81971688Taizhou Science and Technology Project No.21ywa02
6 · The paper itself

Abstract

backgroundThis study investigates the relationship between triglyceride-glucose (TyG) index trajectories and the results of ablation in patients with stage 3D atrial fibrillation (AF).

methodsA retrospective cohort study was carried out on patients who underwent AF Radiofrequency Catheter Ablation (RFCA) at the Cardiology Department of the Fourth Affiliated Hospital of Zhejiang University and Taizhou Hospital of Zhejiang Province from January 2016 to December 2022. The main clinical endpoint was determined as the occurrence of atrial arrhythmia for at least 30 s following a 3-month period after ablation. Using a latent class trajectory model, different trajectory groups were identified based on TyG levels. The relationship between TyG trajectory and the outcome of AF recurrence in patients was assessed through Kaplan-Meier survival curve analysis and multivariable Cox proportional hazards regression model.

resultsThe study included 997 participants, with an average age of 63.21 ± 9.84 years, of whom 630 were males (63.19%). The mean follow-up period for the participants was 30.43 ± 17.75 months, during which 200 individuals experienced AF recurrence. Utilizing the minimum Bayesian Information Criterion (BIC) and the maximum Entropy principle, TyG levels post-AF RFCA were divided into three groups: Locus 1 low-low group (n = 791), Locus 2 low-high-low group (n = 14), and Locus 3 high-high group (n = 192). Significant differences in survival rates among the different trajectories were observed through the Kaplan-Meier curve (P < 0.001). Multivariate Cox regression analysis showed a significant association between baseline TyG level and AF recurrence outcomes (HR = 1.255, 95% CI: 1.087-1.448). Patients with TyG levels above 9.37 had a higher risk of adverse outcomes compared to those with levels below 8.67 (HR = 2.056, 95% CI: 1.335-3.166). Furthermore, individuals in Locus 3 had a higher incidence of outcomes compared to those in Locus 1 (HR = 1.580, 95% CI: 1.146-2).

conclusionThe TyG trajectories in patients with stage 3D AF are significantly linked to the outcomes of AF recurrence. Continuous monitoring of TyG levels during follow-up may help in identifying patients at high risk of AF recurrence, enabling the early application of effective interventions.

Indexed as

Atrial FibrillationCatheter AblationAgedBayes TheoremFemaleHumansMaleMiddle AgedRecurrenceRetrospective StudiesRisk FactorsTreatment OutcomeAtrial fibrillation recurrenceInsulin resistanceRadiofrequency catheter ablationTriglyceride–glucose index trajectory

Identifiers

PMID38581024
PMCPMC10998403
OpenAlexW4393994721

What Socratic holds

Textmetadata
LicenceCC BY
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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.