Evidence map›Paper›PMID 38708047›Full record

ArticleCJC open2024

Effectiveness of Cardiac Rehabilitation With mHealth Through Smartphone Functionalities: A Systematic Review Protocol.

Marília Costa Paiva, Antonio A M Castro, Polyagna Ferreira Carvalho, Weslley Barbosa Sales, Isabelly Cristina Soares Oliveira, Maryela Neves Mourão, Álvaro Campos Cavalcanti Maciel, Gérson Fonseca Souza

Abstract read
In one paragraph

Article in CJC open, 2024. 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
–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

2 citing papers in PubMed.

  1. 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

8 authors.

Marília Costa PaivaDepartment of Physiotherapy, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Antonio A M CastroDepartment of Physiotherapy, Federal University of Pampa, Uruguaiana, Rio Grande do Sul, Brazil.
Polyagna Ferreira CarvalhoDepartment of Physiotherapy, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Weslley Barbosa SalesDepartment of Physiotherapy, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Isabelly Cristina Soares OliveiraDepartment of Physiotherapy, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Maryela Neves MourãoDepartment of Physiotherapy, Federal University of Pampa, Uruguaiana, Rio Grande do Sul, Brazil.
Álvaro Campos Cavalcanti MacielDepartment of Physiotherapy, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
Gérson Fonseca SouzaDepartment of Physiotherapy, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular diseases are the leading cause of mortality worldwide, requiring support to manage symptoms and improve prognosis. Home-based cardiac rehabilitation is a realistic resource for this purpose, but it requires patients' self-management skills in order to change behaviours. Smartphones are considered mHealth technology (mobile technological resources in healthcare) and have the potential to provide modalities for delivery of cardiac rehabilitation. This systematic review aims to examine these modalities and identify those that are most effective for improving exercise capacity, quality of life, and patient compliance. Randomized controlled trials (1994 to 2022) performed with adults with coronary artery disease (post-myocardial infarction, angina, post-coronary artery bypass graft surgery) or heart failure eligible for home-based cardiac rehabilitation (mHealth) will be selected. Studies published in English, Spanish, or Portuguese that compare rehabilitation-specific mobile apps or smartphone-based features with conventional cardiac rehabilitation will be included. Searches will be conducted in MEDLINE, CENTRAL, EMBASE, LILACS, PEDro, grey literature, and ongoing or recently completed studies. Data and risk of bias will be assessed, and if appropriate, a meta-analysis will be carried out.

Identifiers

PMID38708047
PMCPMC11065672

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.