Evidence map›Paper›PMID 37810602›Full record

SynthesisFrontiers in psychiatry2023

Cardiovascular adverse reactions associated with escitalopram in patients with underlying cardiovascular diseases: a systematic review and meta-analysis.

Kenichi Kimura, Hisashi Narita, Hissei Imai, Hisashi Akiyama, Shuhei Ishikawa, Ryo Sawagashira, Tomoyuki Isoyama, Mariko Nohara, Michiyo Kawamura, Yukari Kono and 2 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Logic-based machine learning predicts how escitalopram attenuates cardiomyocyte hypertrophy.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. Article
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 3 institutions in 1 country.

Kenichi KimuraDepartment of Psychiatry and Neurology, Hokkaido University Hospital, Sapporo, Japan.
Hisashi NaritaDepartment of Psychiatry and Neurology, Hokkaido University Hospital, Sapporo, Japan.
Hissei ImaiDepartment of Health Promotion and Human Behavior, Graduate School of Medicine/School of Public Health, Kyoto University, Kyoto, Japan.
Hisashi AkiyamaDepartment of Psychiatry and Neurology, Hokkaido University Hospital, Sapporo, Japan.
Shuhei IshikawaDepartment of Psychiatry and Neurology, Hokkaido University Hospital, Sapporo, Japan.
Ryo SawagashiraDepartment of Physiology, Hokkaido University School of Medicine, Sapporo, Japan.
Tomoyuki IsoyamaDepartment of Psychiatry and Neurology, Hokkaido University Hospital, Sapporo, Japan.
Mariko NoharaDepartment of Psychiatry and Neurology, Hokkaido University Hospital, Sapporo, Japan.
Michiyo KawamuraMedical Sciences Group, Research Support Division, Hokkaido University Library, Sapporo, Japan.
Yukari KonoMedical Sciences Group, Research Support Division, Hokkaido University Library, Sapporo, Japan.
Takuya SaitoDepartment of Child and Adolescent Psychiatry, Hokkaido University Hospital, Sapporo, Japan.
Ichiro KusumiDepartment of Psychiatry and Neurology, Hokkaido University Hospital, Sapporo, Japan.
Hokkaido University Hospital · JPHokkaido University · JPKyoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite the anticipated efficacy of escitalopram in treating depression and anxiety in individuals with preexisting cardiovascular conditions, persistent concerns regarding its adverse effects have emerged. In this systematic review, we aimed to evaluate the cardiovascular safety profile of escitalopram compared with that of placebo in patients with underlying cardiovascular disease. Methods: We used a predefined search strategy in PubMed, Cochrane Central Register of Controlled Trials, Embase, International Clinical Trials Registry Platform, and ClinicalTrials.gov to identify studies evaluating adverse cardiovascular reactions to escitalopram in patients with underlying cardiovascular disease. Randomized controlled trials (RCTs) that provided results on cardiovascular safety outcomes were included. Two independent reviewers screened the abstracts and full texts of the individual studies. The risk of bias was assessed using version 2 of the Cochrane risk-of-bias tool for randomized trials. The certainty of evidence was assessed using the Grading of Recommendations, Assessment, Development, and Evaluation approach. Results: The primary outcomes were the frequency of major adverse cardiovascular events (MACE), QTc prolongation, and discontinuation of study medication. We identified 5 RCTs with 773 participants who met the inclusion criteria. Escitalopram was not associated with significantly increased risk of MACE (risk ratio [RR] = 1.85; 95% confidence interval [CI] 0.80 to 4.26; Conclusion: Escitalopram does not significantly increase the risk of cardiovascular adverse reactions compared with placebo in patients with underlying cardiovascular disease. However, the presence of wide CIs and the limited number of included studies highlight the need for further studies with larger sample sizes to enhance the precision and reliability of these findings.

Indexed as

cardiovascular diseaseescitaloprammajor adverse cardiovascular eventsmeta-analysissystematic review

Identifiers

PMID37810602
PMCPMC10556499
OpenAlexW4386960927

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.