Evidence map›Paper›PMID 34386215›Full record

SynthesisJournal of global health2021

Diabetes comorbidities in low- and middle-income countries: An umbrella review.

Anastasia A Lam, Alexander Lepe, Sarah H Wild, Caroline Jackson

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06561126 (Engagement of coMmunity Through Participatory Learning and Action for cOntrol and preVEntion of Type II Diabetes and Its Risk Factors [EMPOWER-D]), which is not on this map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
6.5field-weighted citation impact, top 2% of its field
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.

NCT06561126 narecruitingnot on this mapstarted 2025, after this paper: background citation

Engagement of coMmunity Through Participatory Learning and Action for cOntrol and preVEntion of Type II Diabetes and Its Risk Factors [EMPOWER-D]: Cluster Randomized Controlled Trial

TypeinterventionalSponsorKhyber Medical University PeshawarRan2025 to 2026Enrolled12,744ConditionsType II Diabetes Mellitus, Intermediate Hyperglycemia (IHG)ArmsParticipatory, Learning and Action Based Intervention
3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 73 citations in OpenAlex.

  1. Real-World Databases in Diabetes: A Systematic Review.Diabetes/metabolism research and reviews · 2026
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  17. Visual impairment and blindness in diabetic retinopathy.Medical hypothesis, discovery & innovation ophthalmology journal · 2025
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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

4 authors at 3 institutions in 3 countries.

Anastasia A LamUsher Institute, University of Edinburgh, Edinburgh, UK.
Alexander LepeUsher Institute, University of Edinburgh, Edinburgh, UK.
Sarah H WildUsher Institute, University of Edinburgh, Edinburgh, UK.
Caroline JacksonUsher Institute, University of Edinburgh, Edinburgh, UK.
University of Edinburgh · GBUniversity Medical Center Groningen · NLUniversity of St Andrews · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes mellitus, particularly type 2 diabetes, is a major public health burden globally. Diabetes is known to be associated with several comorbidities in high-income countries. However, our understanding of these associations in low- and middle-income countries (LMICs), where the epidemiological transition is leading to a growing dual burden of non-communicable and communicable disease, is less clear. We therefore conducted an umbrella review to systematically identify, appraise and synthesise reviews reporting the association between diabetes and multiple key comorbidities in LMICs.

methodsWe searched Medline, Embase, Global Health, and Global Index Medicus from inception to 14 November 2020 for systematic reviews, with or without meta-analyses, of cohort, case-control or cross-sectional studies investigating the associations between diabetes and cardiovascular disease (CVD), chronic kidney disease (CKD), depression, dengue, pneumonia, and tuberculosis within LMICs. We sought reviews of studies focused on LMICs, but also included reviews with a mixture of high-income and at least two LMIC studies, extracting data from LMIC studies only. We conducted quality assessment of identified reviews using an adapted AMSTAR 2 checklist. Where appropriate, we re-ran meta-analyses to pool LMIC study estimates and conduct subgroup analyses.

resultsFrom 11 001 articles, we identified 14 systematic reviews on the association between diabetes and CVD, CKD, depression, or tuberculosis. We did not identify any eligible systematic reviews on diabetes and pneumonia or dengue. We included 269 studies from 29 LMICs representing over 3 943 083 participants. Diabetes was positively associated with all comorbidities, with tuberculosis having the most robust evidence (16 of 26 cohort studies identified in total) and depression being the most studied (186 of 269 studies). The majority (81%) of studies included were cross-sectional. Heterogeneity was substantial for almost all secondary meta-analyses conducted, and there were too few studies for many subgroup analyses.

conclusionsDiabetes has been shown to be associated with several comorbidities in LMICs, but the nature of the associations is uncertain because of the large proportion of cross-sectional study designs. This demonstrates the need to conduct further primary research in LMICs, to improve, and address current gaps in, our understanding of diabetes comorbidities and complications in LMICs.

Indexed as

Developing CountriesDiabetes Mellitus, Type 2Cross-Sectional StudiesHumansPovertySystematic Reviews as Topic

Identifiers

PMID34386215
PMCPMC8325931
OpenAlexW3183953690

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.