Evidence map›Paper›PMID 40247128›Full record

SynthesisMolecular psychiatry2025

Cardiovascular diseases and depression: A meta-analysis and Mendelian randomization analysis.

Jun Zeng, Yuting Qiu, Chengying Yang, Xinrong Fan, Xiangyu Zhou, Chunxiang Zhang, Sui Zhu, Yang Long, Kenji Hashimoto, Lijia Chang and 1 more

Erratum issuedAbstract readMeta-Analysis
In one paragraph

Synthesis in Molecular psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 59 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

59 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  8. Depression, health anxiety, and five-year mortality after ST-elevation myocardial infarction: the SEMI-CI cohort.International journal of cardiology. Cardiovascular risk and prevention · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Jun Zeng *Key Laboratory of Medical Electrophysiology, Ministry of Education & Medical Electrophysiological Key Laboratory of Sichuan Province, (Collaborative Innovation Center for Prevention of Cardiovascular Diseases), Institute of Cardiovascular Research, Southwest Medical University, Luzhou, 646000, Sichuan, China.
Yuting Qiu *Key Laboratory of Medical Electrophysiology, Ministry of Education & Medical Electrophysiological Key Laboratory of Sichuan Province, (Collaborative Innovation Center for Prevention of Cardiovascular Diseases), Institute of Cardiovascular Research, Southwest Medical University, Luzhou, 646000, Sichuan, China.
Chengying YangDepartment of Cardiology, The Affiliated Hospital, Southwest Medical University, Luzhou, 646000, Sichuan, China.
Xinrong FanDepartment of Cardiology, The Affiliated Hospital, Southwest Medical University, Luzhou, 646000, Sichuan, China.
Xiangyu ZhouBasic Medicine Research Innovation Center for Cardiometabolic Diseases, Ministry of Education, Southwest Medical University, Luzhou, 646000, Sichuan, China.
Chunxiang ZhangBasic Medicine Research Innovation Center for Cardiometabolic Diseases, Ministry of Education, Southwest Medical University, Luzhou, 646000, Sichuan, China.
Sui ZhuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, Guangdong, China.
Yang LongMetabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, Sichuan, 646000, China.
Kenji HashimotoBasic Medicine Research Innovation Center for Cardiometabolic Diseases, Ministry of Education, Southwest Medical University, Luzhou, 646000, Sichuan, China. hashimoto@faculty.chiba-u.jp.ORCID 0000-0002-8892-0439
Lijia ChangBasic Medicine Research Innovation Center for Cardiometabolic Diseases, Ministry of Education, Southwest Medical University, Luzhou, 646000, Sichuan, China. changlijia1984@outlook.com.ORCID 0000-0001-6461-0834
Yan WeiKey Laboratory of Medical Electrophysiology, Ministry of Education & Medical Electrophysiological Key Laboratory of Sichuan Province, (Collaborative Innovation Center for Prevention of Cardiovascular Diseases), Institute of Cardiovascular Research, Southwest Medical University, Luzhou, 646000, Sichuan, China. weiyan.1111@swmu.edu.cn.ORCID 0000-0002-2682-3780

Funding

Department of Science and Technology of Sichuan Province (Sichuan Provincial Department of Science and Technology) 2022YFS0617-B6
6 · The paper itself

Abstract

Depression is a common psychiatric symptom among patients with cardiovascular disease (CVD), adversely affecting their health. Despite the identification of various contributing factors, the precise mechanisms linking CVD and depression remain elusive. This study conducted a meta-analysis to investigate the association between CVD and depression. Furthermore, a bidirectional Mendelian randomization (MR) analysis was undertaken to clarify the causal relationship between the two conditions. The meta-analysis included 39 studies, encompassing 63,444 patients with CVD, 12,308 of whom were diagnosed with depression. The results revealed a significant association between CVD and depression or anxiety, with an estimated overall prevalence of depression in CVD patients of 20.8%. Subgroup analyses showed that the prevalence of depression in patients with coronary artery disease and heart failure was 19.8% and 24.7%, respectively. According to a random-effects model, depressive symptoms were linked to an increase in unadjusted all-cause mortality compared with non-depressed patients. The MR analysis, employing the inverse-variance weighted method as the primary tool for causality assessment, identified significant associations between various CVD types and depression or anxiety phenotypes. These findings underscore the significant relationship between CVD and depression or anxiety, leading to an elevated risk of all-cause mortality. Moreover, the MR analysis provides the first genetically-informed evidence suggesting that depression plays a critical role in the development and progression of certain CVD subtypes. This emphasizes the need for addressing depressive symptoms in CVD patients to prevent or reduce adverse cardiovascular outcomes.

Indexed as

Cardiovascular DiseasesDepressionAnxietyGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisPrevalenceRisk Factors

Identifiers

PMID40247128
PMCPMC12339367

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.