Evidence map›Paper›PMID 35265414›Full record

ArticleCureus2022

COVID-19 Infection and Incidence of Myocarditis: A Multi-Site Population-Based Propensity Score-Matched Analysis.

Shivani Priyadarshni, Jordan Westra, Yong-Fang Kuo, Jacques G Baillargeon, Wissam Khalife, Mukaila Raji

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Deep learning-driven 3-D histopathology method: a pipeline for cellular-resolution myocarditis analysis.American journal of physiology. Heart and circulatory physiology · 2026
    Article
  4. Zinc: a metallic shield against cardiac inflammation.Metallomics : integrated biometal science · 2026
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Myocarditis in COVID-19: a focus on the pediatric population.American journal of cardiovascular disease · 2023
    Review
  11. Article
  12. Long COVID-19 Myocarditis and Various Heart Failure Presentations: A Case Series.Journal of cardiovascular development and disease · 2022
    Article
  13. Review
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

6 authors at 1 institution in 1 country.

Shivani PriyadarshniInternal Medicine, University of Texas Medical Branch, Galveston, USA.
Jordan WestraEpidemiology and Public Health, University of Texas Medical Branch, Galveston, USA.
Yong-Fang KuoEpidemiology and Public Health, University of Texas Medical Branch, Galveston, USA.
Jacques G BaillargeonPreventive Medicine, University of Texas Medical Branch, Galveston, USA.
Wissam KhalifeInternal Medicine, University of Texas Medical Branch, Galveston, USA.
Mukaila RajiInternal Medicine - Geriatrics, University of Texas Medical Branch, Galveston, USA.
The University of Texas Medical Branch at Galveston · US

Funding

UTMB Clinical and Translational Science AwardUL1TR001439 · NCATS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI URBAN, RANDALL J · 2015 to 2024
$40.0M
UTMB OAIC Research Education Component (REC)P30AG024832 · NIA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI JAMES S. GOODWIN, MD, MELISSA M. MORROW · 2005 to 2026
$26.7M
Pattern, Variation and Outcomes of Opioid Prescription in Older AdultsR01DA039192 · NIDA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI KUO, YONG-FANG, RAJI, MUKAILA A · 2016 to 2023
$3.1M
NCATS NIH HHS UL1 TR001439NIA NIH HHS P30 AG024832NIDA NIH HHS R01 DA039192
6 · The paper itself

Abstract

Background Cardiovascular complications from COVID-19 include myocarditis, acute myocardial infarction, heart failure, and others. Population-level data is lacking about the relationship between COVID-19 and cardiovascular complications; therefore, we conducted a study to examine the incidence of myocarditis, acute myocardial infarction (AMI), heart failure (HF) after COVID-19 infection. Methods Retrospective cohort study using de-identified data from 50 health systems across the United States. Cohort groups were created using patients ≥18 who were admitted to hospitals for respiratory illness with COVID-19 in 2020 and respiratory illness without COVID-19 for 2020 and 2019. There were 107,699 patients with COVID-19, 77,499 patients with respiratory illness in 2020, and 112,898 patients in 2019. The COVID-19 group was matched to each respiratory illness group by propensity score. Patients with prior specific cardiovascular events such as myocarditis, AMI, HF were excluded. The primary outcome was myocarditis, and secondary outcomes were AMI and HF. Results In the COVID-19 group, 79 (0.12%) patients had new-onset myocarditis compared to 29 (0.04%) patients in the non-COVID-19 control (Pneumonia/flu) group Odd's Ratio (OR), (OR 2.73, CI 95%, 1.78-4.18). In the COVID-19 group, 1512 patients developed HF compared to 2,659 patients in the non-COVID-19 group (OR 0.49, CI 95%, 0.46-0.52). 1125 patients in COVID-19 group had AMI compared to 1243 patients in non-COVID-19 group (OR 0.87, CI 95%, 0.80-0.94). Conclusion COVID-19 was associated with a 2-3-fold higher risk of myocarditis. Unexpectedly, lower rates of HF diagnosis reflect challenges faced due to the severity of lung disease leading to obscuring physical exam findings required for HF diagnosis and early mortality before a diagnosis of HF was made.

Indexed as

cardiac magnetic resonance (cmr)covid-19 incidencemyocarditisodd ratiosevere acute respiratory syndrome coronavirus 2 (sars-cov-2)

Identifiers

PMID35265414
PMCPMC8898072
OpenAlexW4210761239

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.