Evidence map›Paper›PMID 35647056›Full record

SynthesisFrontiers in cardiovascular medicine2022

Association of Depression, Antidepressants With Atrial Fibrillation Risk: A Systemic Review and Meta-Analysis.

Yonghui Fu, Shenghui Feng, Yingxiang Xu, Yuanjian Yang, Haibo Chen, Wenfeng He, Wengen Zhu, Kang Yin, Zhengbiao Xue, Bo Wei

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 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

10 authors at 4 institutions in 1 country.

Yonghui FuDepartment of Psychiatry, Jiangxi Mental Hospital, Affiliated Mental Hospital of Nanchang University, Nanchang, China.
Shenghui FengDepartment of Medical, Queen Mary School, Nanchang University, Nanchang, China.
Yingxiang XuDepartment of Psychiatry, Jiangxi Mental Hospital, Affiliated Mental Hospital of Nanchang University, Nanchang, China.
Yuanjian YangDepartment of Psychiatry, Jiangxi Mental Hospital, Affiliated Mental Hospital of Nanchang University, Nanchang, China.
Haibo ChenDepartment of Psychiatry, Jiangxi Mental Hospital, Affiliated Mental Hospital of Nanchang University, Nanchang, China.
Wenfeng HeJiangxi Key Laboratory of Molecular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Wengen ZhuDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Kang YinDepartment of Critial Care Medicine, The First Affiliated Hosptial of Gannan Medical University, Ganzhou, China.
Zhengbiao XueDepartment of Critial Care Medicine, The First Affiliated Hosptial of Gannan Medical University, Ganzhou, China.
Bo WeiDepartment of Psychiatry, Jiangxi Mental Hospital, Affiliated Mental Hospital of Nanchang University, Nanchang, China.
Nanchang University · CNGannan Medical University · CNJiangxi Mental Health Center · CNThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Depression is a possible influence factor for the increased risk of incident atrial fibrillation (AF). Although several investigations have assessed their association, the results are still controversial. Therefore, we conducted a meta-analysis to evaluate the association between depression or using antidepressants and AF. Methods: We systemically performed the literature retrieval from two electronic databases PubMed and EMBASE until March 2022 to extract relevant data. The hazard ratios (HRs) and odds ratios (OR) from included studies with 95% confidence intervals (CIs) were adjusted into the risk ratio (RR) and pooled by using the random-effects model. Results: Totally 9 studies about the associations between depression or antidepressants and incident AF risk were included in this meta-analysis. Among them, 5 studies specifically analyzed the impact of antidepressants on the risk of AF. The outcomes of our analysis indicated that depression or depressive symptoms could increase AF risk (RR = 1.15, 95% CI, 1.03-1.27, Conclusions: Based on existing investigations, both depression and the use of antidepressants are closely related to the increase of incident AF risk.

Indexed as

antidepressantsatrial fibrillationdepressionmeta-analysisrisk factor

Identifiers

PMID35647056
PMCPMC9130653
OpenAlexW4280627328

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.