Evidence map›Paper›PMID 33716343›Full record

SynthesisBulletin of the World Health Organization2021

Telemedicine to deliver diabetes care in low- and middle-income countries: a systematic review and meta-analysis.

Jorge César Correia, Hafsa Meraj, Soo Huat Teoh, Ahmed Waqas, Maaz Ahmad, Luis Velez Lapão, Zoltan Pataky, Alain Golay

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Bulletin of the World Health Organization, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 4 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

25 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  4. Pooled it
  5. Trial
  6. Review
  7. Review
  8. Article
  9. Article
  10. Digital Health Technology in Diabetes Management in the Asia-Pacific Region: A Narrative Review of the Current Scenario and Future Outlook.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Review
  11. Article
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  13. Observational
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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.

Jorge César CorreiaDepartment of Medicine, Geneva University Hospitals, Chemin Venel 7, 1206 Geneva, Switzerland.
Hafsa MerajFaculty of Life Sciences and Education, University of South Wales, Pontypridd, Wales.
Soo Huat TeohAdvanced Medical and Dental Institute, Universiti Sains Malaysia, Penang, Malaysia.
Ahmed WaqasInstitute of Population Health, University of Liverpool, Liverpool, England.
Maaz AhmadDepartment of Oral Biology, Sharif Medical and Dental College, Lahore, Pakistan.
Luis Velez LapãoInstituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, Lisbon, Portugal.
Zoltan PatakyDepartment of Medicine, Geneva University Hospitals, Chemin Venel 7, 1206 Geneva, Switzerland.
Alain GolayDepartment of Medicine, Geneva University Hospitals, Chemin Venel 7, 1206 Geneva, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the effectiveness of telemedicine in the delivery of diabetes care in low- and middle-income countries.

methodsWe searched seven databases up to July 2020 for randomized controlled trials investigating the effectiveness of telemedicine in the delivery of diabetes care in low- and middle-income countries. We extracted data on the study characteristics, primary end-points and effect sizes of outcomes. Using random effects analyses, we ran a series of meta-analyses for both biochemical outcomes and related patient properties.

findingsWe included 31 interventions in our meta-analysis. We observed significant standardized mean differences of -0.38 for glycated haemoglobin (95% confidence interval, CI: -0.52 to -0.23;

conclusionAlthough we determined that telemedicine is effective in improving several diabetes-related outcomes, the certainty of evidence was very low due to substantial heterogeneity and risk of bias.

Indexed as

Diabetes MellitusTelemedicineText MessagingDeveloping CountriesGlycated HemoglobinHumansGlycated Hemoglobin

Identifiers

PMID33716343
PMCPMC7941107

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.