Evidence map›Paper›PMID 29575115›Full record

ArticleClinical cardiology2018

Lipid profile and incidence of atrial fibrillation: A prospective cohort study in China.

Xintao Li, Lianjun Gao, Zhao Wang, Bo Guan, Xumin Guan, Binhao Wang, Xu Han, Xianjie Xiao, Khalid Bin Waleed, Clarance Chandran and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cardiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 2 pooled it
4.4field-weighted citation impact, top 4% 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

50 citing papers in PubMed, 2 syntheses or guidelines pooled it, 84 citations in OpenAlex.

  1. Pooled it
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  4. Article
  5. Thrombaxane-B2 as a predictor marker of atrial fibrillation.International journal of cardiology. Cardiovascular risk and prevention · 2026
    Article
  6. A risk model to predict atrial fibrillation in diabetes using machine learning: The ACCORD study.American heart journal plus : cardiology research and practice · 2026
    Article
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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

12 authors at 2 institutions in 1 country.

Xintao LiDepartment of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, China.
Lianjun GaoDepartment of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, China.
Zhao WangDepartment of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, China.
Bo GuanDepartment of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, China.
Xumin GuanDepartment of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, China.
Binhao WangDepartment of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, China.ORCID http://orcid.org/0000-0001-5341-3878
Xu HanDepartment of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, China.
Xianjie XiaoDepartment of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, China.
Khalid Bin WaleedDepartment of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, China.
Clarance ChandranDepartment of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, China.
Shouling WuDepartment of Cardiology, Kailuan General Hospital, Tangshan, China.
Yunlong XiaDepartment of Cardiology, First Affiliated Hospital of Dalian Medical University, Dalian, China.ORCID http://orcid.org/0000-0003-4791-9666
Dalian Medical University · CNKailuan General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association between dyslipidemia, a major risk factor for cardiovascular diseases, and atrial fibrillation (AF) is not clear because of limited evidence. HYPOTHESIS: Dyslipidemia may be associated with increased risk of AF in a Chinese population.

methodsA total of 88 785 participants free from AF at baseline (2006-2007) were identified from the Kailuan Study. Fasting levels of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG) were measured at baseline using standard procedures. The study population was stratified based on quartiles of lipid profile. Incident AF was ascertained from electrocardiograms at biennial follow-up visits (2008-2015). The associations between incident AF and the different lipid parameters (TC, LDL-C, HDL-C, and TG) were assessed by Cox proportional hazards regression analysis.

resultsOver a mean follow-up period of 7.12 years, 328 subjects developed AF. Higher TC (hazard ratio [HR]: 0.60, 95% confidence interval [CI]: 0.43-0.84) and LDL-C (HR: 0.60, 95% CI: 0.43-0.83) levels were inversely associated with incident AF after multivariable adjustment. HDL-C and TG levels showed no association with newly developed AF. The results remained consistent after exclusion of individuals with myocardial infarction or cerebral infarction, or those on lipid-lowering therapy. Both TC/HDL-C and LDL-C/HDL-C ratios were inversely associated with risk of AF (per unit increment, HR: 0.88, 95% CI: 0.79-0.98 and HR: 0.77, 95% CI: 0.66-0.91, respectively).

conclusionsTC and LDL-C levels were inversely associated with incident AF, whereas no significant association of AF with HDL-C or TG levels was observed.

Indexed as

AdolescentAdultAgedAged, 80 and overAtrial FibrillationBiomarkersChinaCholesterol, HDLCholesterol, LDLDyslipidemiasElectrocardiographyFemaleFollow-Up StudiesHumansIncidenceLipidsBiomarkersCholesterol, HDLCholesterol, LDLLipidsAtrial FibrillationBlood LipidsEpidemiologyRisk Factors

Identifiers

PMID29575115
PMCPMC6490045
OpenAlexW2791973489

What OpenQuestion holds

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Registered trials

None linked

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.