Evidence mapPaperPMID 36769487Full record

ReviewJournal of clinical medicine2023

Effectiveness of Telemedicine for Reducing Cardiovascular Risk: A Systematic Review and Meta-Analysis.

Jesús Jaén-Extremera, Diego Fernando Afanador-Restrepo, Yulieth Rivas-Campo, Alejandro Gómez-Rodas, Agustín Aibar-Almazán, Fidel Hita-Contreras, María Del Carmen Carcelén-Fraile, Yolanda Castellote-Caballero, Raúl Ortiz-Quesada

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Review
  6. Article
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  9. Article
  10. Technological Advances in the Diagnosis of Cardiovascular Disease: A Public Health Strategy.International journal of environmental research and public health · 2024
    Review
  11. Article
  12. 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

9 authors.

Jesús Jaén-ExtremeraDepartment of Health Sciences, Faculty of Health Sciences, University of Jaén, 23071 Jaén, Spain.
Diego Fernando Afanador-RestrepoFaculty of Health Sciences and Sport, University Foundation of the Área Andina, Pereira 660004, Colombia.ORCID 0000-0002-7958-0751
Yulieth Rivas-CampoFaculty of Human and Social Sciences, University of San Buenaventura, Santiago de Cali 760016, Colombia.
Alejandro Gómez-RodasFaculty of Health Sciences and Sport, University Foundation of the Área Andina, Pereira 660004, Colombia.ORCID 0000-0002-9355-8630
Agustín Aibar-AlmazánDepartment of Health Sciences, Faculty of Health Sciences, University of Jaén, 23071 Jaén, Spain.ORCID 0000-0002-9386-9199
Fidel Hita-ContrerasDepartment of Health Sciences, Faculty of Health Sciences, University of Jaén, 23071 Jaén, Spain.ORCID 0000-0001-7215-5456
María Del Carmen Carcelén-FraileDepartment of Health Sciences, Faculty of Health Sciences, University of Jaén, 23071 Jaén, Spain.
Yolanda Castellote-CaballeroDepartment of Health Sciences, Faculty of Health Sciences, University of Jaén, 23071 Jaén, Spain.ORCID 0000-0002-6233-6787
Raúl Ortiz-QuesadaDepartment of Anatomy and Embryology, Faculty of Medicine, University of Granada, 18071 Granada, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular diseases are the leading cause of death globally. There are six cardiovascular risk factors: diabetes, hypertension, hypercholesterolemia, overweight, sedentary lifestyle and smoking. Due to the low attendance of healthy people in the health system, the use of telemedicine can influence the acquisition of a heart-healthy lifestyle.

objectivethis systematic review and meta-analysis aimed to determine the effectiveness of telemedicine and e-health in reducing cardiovascular risk.

methodsA systematic review and meta-analysis were carried out using the PubMed, Scopus, Cinhal and WOS databases. Randomized controlled studies between 2017 and 2022 in which telemedicine was used to reduce any of the risk factors were included. The methodological quality was assessed using the "PEDro" scale.

resultsIn total, 763 studies were obtained; after the review, 28 target articles were selected and finally grouped as follows: 13 studies on diabetes, six on hypertension, seven on obesity and two on physical activity. For all of the risk factors, a small effect of the intervention was seen.

conclusionsalthough the current evidence is heterogeneous regarding the statistically significant effects of telemedicine on various cardiovascular risk factors, its clinical relevance is undeniable; therefore, its use is recommended as long as the necessary infrastructure exists.

Indexed as

diabetes mellitushypertensionoverweightrisk factors for heart diseasesedentarismtelemedicine

Identifiers

PMID36769487
PMCPMC9917681

What Socratic 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 Socratic graph.