Evidence map›Paper›PMID 39211746›Full record

ReviewCJC open2024

Impact of Long COVID-19 on Health Outcomes Among Adults With Preexisting Cardiovascular Disease and Hypertension: A Systematic Review.

Tope B Daodu, Emily J Rugel, Scott A Lear

Abstract readReview
In one paragraph

Review in CJC open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

3 authors.

Tope B DaoduFaculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada.
Emily J RugelFaculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada.
Scott A LearFaculty of Health Sciences, Simon Fraser University, Burnaby, British Columbia, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This review summarizes the impact of long COVID (LC) on the health of adults with preexisting cardiovascular disease (CVD) and hypertension. Methods: We searched Medline, Web of Science (Core Collection), and the Cumulative Index to Nursing and Allied Health Literature (CINAHL), without language restrictions, for articles published from December 1, 2019 through October 10, 2023, to ensure all relevant studies were captured. We included studies that enrolled adults (aged ≥18 years) diagnosed with CVD prior to COVID-19 infection whose infection was subsequently determined to be LC per the World Health Organization definition. We excluded studies with adults diagnosed with CVD concurrent with or subsequent to COVID-19 or with those who solely self-reported LC. We used a custom-built data extraction form to collect a range of study characteristics. Study quality was assessed using modified versions of the National Heart, Lung, and Blood Institute quality-assessment tools. Results: A total of 13,779 studies were identified; 53 were included in the final analysis. Of these, 27 were of good quality and 26 were of fair quality. Health outcomes consisted of the presence of prolonged symptoms of LC (n = 29), physiological health outcomes (n = 20), lifestyle behaviours (n = 19), psycho-social outcomes (n = 13), CVD complications (n = 5), and death and hospital readmission (n = 5). Thirty-four studies incorporated 2 or more outcomes, and 19 integrated only 1. Conclusions: Given the significant impact of LC among individuals with preexisting CVD, specially tailored clinical management is needed for members of this population. Additional studies on the impact of LC among those with CVD and other underlying conditions also would be beneficial.

Identifiers

PMID39211746
PMCPMC11357789

What OpenQuestion holds

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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.