Evidence map›Paper›PMID 36763453›Full record

ArticleJMIR cardio2023

Remotely Delivered Cardiac Rehabilitation Exercise for Coronary Heart Disease: Nonrandomized Feasibility Study.

Oonagh M Giggins, Julie Doyle, Suzanne Smith, Grainne Vavasour, Orla Moran, Shane Gavin, Nisanth Sojan, Gordon Boyle

Abstract read
In one paragraph

Article in JMIR cardio, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Review
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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.

Oonagh M GigginsNetwellCASALA, Dundalk Institute of Technology, Dundalk, Ireland.ORCID https://orcid.org/0000-0001-7748-5446
Julie DoyleNetwellCASALA, Dundalk Institute of Technology, Dundalk, Ireland.ORCID https://orcid.org/0000-0003-4017-6329
Suzanne SmithNetwellCASALA, Dundalk Institute of Technology, Dundalk, Ireland.ORCID https://orcid.org/0000-0002-8486-7087
Grainne VavasourNetwellCASALA, Dundalk Institute of Technology, Dundalk, Ireland.ORCID https://orcid.org/0000-0002-1929-4235
Orla MoranNetwellCASALA, Dundalk Institute of Technology, Dundalk, Ireland.ORCID https://orcid.org/0000-0001-5831-2021
Shane GavinNetwellCASALA, Dundalk Institute of Technology, Dundalk, Ireland.ORCID https://orcid.org/0000-0002-4604-9067
Nisanth SojanNetwellCASALA, Dundalk Institute of Technology, Dundalk, Ireland.ORCID https://orcid.org/0000-0002-0581-0673
Gordon BoyleNetwellCASALA, Dundalk Institute of Technology, Dundalk, Ireland.ORCID https://orcid.org/0000-0002-4501-7469

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExercise-based cardiac rehabilitation (CR) is recommended for coronary heart disease (CHD). However, poor uptake of and poor adherence to CR exercise programs have been reported globally. Delivering CR exercise classes remotely may remove some of the barriers associated with traditional hospital- or center-based CR.

objectiveWe have developed a bespoke platform, Eastern Corridor Medical Engineering Centre-Cardiac Rehabilitation (ECME-CR), to support remotely delivered CR exercise. This pilot trial sought to test the ECME-CR platform and examine the efficacy and feasibility of a remote CR exercise program compared to a traditional center-based program.

methodsIn all, 21 participants with CHD were recruited and assigned to either the intervention or control group. Both groups performed the same 8-week exercise program. Participants in the intervention group took part in web-based exercise classes and used the ECME-CR platform during the intervention period, whereas participants in the control group attended in-person classes. Outcomes were assessed at baseline and following the 8-week intervention period. The primary outcome measure was exercise capacity, assessed using a 6-minute walk test (6MWT). Secondary outcomes included measurement of grip strength, self-reported quality of life, heart rate, blood pressure, and body composition. A series of mixed between-within subjects ANOVA were conducted to examine the mean differences in study outcomes between and within groups. Participant adherence to the exercise program was also analyzed.

resultsIn all, 8 participants (male: n=5; age: mean 69.7, SD 7.2 years; height: mean 163.9, SD 5.4 cm; weight: mean 81.6, SD 14.1 kg) in the intervention group and 9 participants (male: n=9; age: mean 69.8, SD 8.2 years; height: mean 173.8, SD 5.2 cm; weight: mean 94.4, SD 18.0 kg) in the control group completed the exercise program. Although improvements in 6MWT distance were observed from baseline to follow-up in both the intervention (mean 490.1, SD 80.2 m to mean 504.5, SD 93.7 m) and control (mean 510.2, SD 48.3 m to mean 520.6, SD 49.4 m) group, no significant interaction effect (F

conclusionsThis pilot trial did not show evidence of significant positive effect for either the remotely delivered or center-based program. The 6MWT may not have been sufficiently sensitive to identify a change in this cohort of participants with stable CHD. This trial does provide evidence that remote CR exercise, supported with digital self-monitoring, is feasible and may be considered for individuals less likely to participate in traditional center-based programs. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/31855.

Indexed as

cardiaccardiac rehabilitationcardiovascularCHDcoronarycoronary heart diseasedigitaldigital healthdigital platformexercisefitnessheartinterventionphysical activityprogramrehabilitationremote rehabilitationvirtual rehabilitation

Identifiers

PMID36763453
PMCPMC9960022

What OpenQuestion holds

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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.