Evidence map›Paper›PMID 41305833›Full record

ArticleMedicine2025

Research trends in cardiac rehabilitation following COVID-19: A cross-sectional bibliometric study.

Siddig Ibrahim Abdelwahab, Manal Mohamed Elhassan Taha, Hadeel R Bakhsh, Monira I Aldhahi

Abstract read
In one paragraph

Article in Medicine, 2025. 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.

No citing paper in PubMed yet.

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

4 authors.

Siddig Ibrahim AbdelwahabHealth Research Centre, Jazan University, Jazan, Saudi Arabia.
Manal Mohamed Elhassan TahaHealth Research Centre, Jazan University, Jazan, Saudi Arabia.
Hadeel R BakhshDepartment of Rehabilitation Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Monira I AldhahiDepartment of Rehabilitation Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.ORCID 0000-0002-5255-4860

Funding

PNURSP PNURSP2025R146
6 · The paper itself

Abstract

This bibliometric analysis assesses scientific progress, spatial distribution, keyword trends, thematic evolution, and research gaps in cardiac rehabilitation research (CRR), with a focused appraisal of the post-COVID-19 era (2020-2023). Scopus-indexed publications from 1948 to 2023 and 2020 to 2023 were analyzed using VOSviewer (v1.6.19) and Biblioshiny (v2.0.2). The study was strengthening the reporting of observational studies in epidemiology-compliant. A total of 9173 CRR documents were identified, showing sustained exponential growth over time. The Journal of Cardiopulmonary Rehabilitation and Prevention emerged as the leading source. The United State, Canada, and the United Kingdom led global output and collaboration networks. Core keywords included "cardiac rehabilitation," "coronary artery disease," "myocardial infarction," "exercise," and "rehabilitation." Post-COVID-19 analyses revealed a discernible thematic shift, with emerging clusters and hot themes centered on "age," "primary care," "heart transplant," and "exercise". This first comprehensive bibliometric overview of CRR maps long-term growth, geographic leaders, evolving themes, and research gaps, and highlights a reorientation of priorities in the post-COVID-19 era to inform future research directions.

Indexed as

BibliometricsBiomedical ResearchCardiac RehabilitationCOVID-19CanadaCross-Sectional StudiesHumansSARS-CoV-2cardiac rehabilitationdynamicityscienctemtricsscopusthematically-based analysis

Identifiers

PMID41305833
PMCPMC12643646

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.