Evidence map›Paper›PMID 36711624›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Long-term cardiac symptoms following COVID-19: a systematic review and meta-analysis.

Boya Guo, Chenya Zhao, Mike Z He, Camilla Senter, Zhenwei Zhou, Jin Peng, Song Li, Annette L Fitzpatrick, Sara Lindström, Rebecca C Stebbins and 2 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 9 institutions in 2 countries.

Boya GuoDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA.
Chenya ZhaoDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Mike Z HeDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY.
Camilla SenterDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA.
Zhenwei ZhouDepartment of Biostatistics, School of Public Health, Boston University, Boston, MA.
Jin PengDepartment of Biostatistics, School of Global Public Health, New York University, New York, NY.
Song LiDivision of Cardiology, University of Washington Medical Center, Seattle, WA.
Annette L FitzpatrickDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA.
Sara LindströmDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA.
Rebecca C StebbinsSocial, Genetic, & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom.
Grace A NoppertInstitute for Social Research, University of Michigan, Ann Arbor, MI.
Chihua LiInstitute for Social Research, University of Michigan, Ann Arbor, MI.
University of Washington · USBoston University · USIcahn School of Medicine at Mount Sinai · USJohns Hopkins University · USKing's College London · GBNew York University · USUniversity of Michigan · USUniversity of Southern California · USUniversity of Washington Medical Center · US

Funding

Socioeconomic, Cardiovascular, and Psychosocial Sources of Cross-National Variation in Cognitive Health Among Older AdultsR01AG070953 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alden L. Gross, Lindsay C Kobayashi · 2021 to 2026
$4.6M
Immunosenescence, socioeconomic disadvantage and dementia in the US aging populationR01AG075719 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Allison E Aiello, Grace A Noppert · 2022 to 2026
$3.6M
Social Disadvantage and Its Impact on Pathogen Burden and Immune Dysfunction Across the Life CourseR00AG062749 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NOPPERT, GRACE A · 2021 to 2023
$747k
NIA NIH HHS R00 AG062749NIA NIH HHS R01 AG070953NIA NIH HHS R01 AG075719
6 · The paper itself

Abstract

Background: There is growing body of literature on the long-term cardiac symptoms following COVID-19. We conducted a systematic review and meta-analysis to synthesize and evaluate related evidence to inform clinical management and future studies. Methods: We searched two preprint and seven peer-reviewed article databases from January 1, 2020 to January 8, 2022 for studies investigating cardiac symptoms that persisted for at least 4 weeks among individuals who survived COVID-19. A customized Newcastle-Ottawa scale was used to evaluate the quality of included studies. Random-effects meta-analyses were performed to estimate the proportion of symptoms with 95% confidence intervals (CI), and stratified analyses were conducted to quantify the proportion of symptoms by study characteristics and quality. Results: A total of 101 studies describing 49 unique long-term cardiac symptoms met the inclusion criteria. Based on quality assessment, only 15.8% of the studies (n=16) were of high quality, and most studies scored poorly on sampling representativeness. The two most examined symptoms were chest pain and arrhythmia. Meta-analysis showed that the proportion of chest pain was 10.1% (95% CI: 6.4-15.5) and arrhythmia was 9.8% (95% CI: 5.4-17.2). Stratified analyses showed that studies with low-quality score, small sample size, unsystematic sampling method, and cross-sectional design were most likely to report high proportions of symptoms. For example, the proportion of chest pain was 21.3% (95% CI: 10.5-38.5), 9.3% (95% CI: 6.0-14.0), and 4.0% (95% CI: 1.3-12.0) in studies with low, medium, and high-quality scores, respectively. Similar patterns were observed for other cardiac symptoms including hypertension, cardiac abnormalities, myocardial injury, thromboembolism, stroke, heart failure, coronary disease, and myocarditis. Discussion: There is a wide spectrum of long-term cardiac symptoms following COVID-19. Findings of existing studies are strongly related to study quality, size and design, underscoring the need for high-quality epidemiologic studies to characterize these symptoms and understand their etiology.

Indexed as

cardiac symptomsCOVID-19 sequelaelong-COVIDmeta-analysissystematic review

Identifiers

PMID36711624
PMCPMC9882562
OpenAlexW4317207572

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.