Evidence map›Paper›PMID 39979862›Full record

SynthesisBMC public health2025

Poor glycemic control and its predictors among people living with diabetes in low- and middle-income countries: a systematic review and meta-analysis.

Abere Woretaw Azagew, Chilot Kassa Mekonnen, Mark Lambie, Thomas Shepherd, Opeyemi O Babatunde

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Glycemic control among People living with HIV and diabetes in Eastern Uganda: A cross-sectional study.Nigerian medical journal : journal of the Nigeria Medical Association
    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

5 authors.

Abere Woretaw AzagewCollege of Medicine and Health Sciences, School of Nursing, Department of Medical Nursing, University of Gondar, Gondar, Ethiopia. a.w.azagew@keele.ac.uk.
Chilot Kassa MekonnenCollege of Medicine and Health Sciences, School of Nursing, Department of Medical Nursing, University of Gondar, Gondar, Ethiopia.
Mark LambieInstitute of Global Health, School of Medicine, Keele University, Newcastle-Under-Lyme, UK.
Thomas ShepherdInstitute of Global Health, School of Medicine, Keele University, Newcastle-Under-Lyme, UK.
Opeyemi O BabatundeInstitute of Global Health, School of Medicine, Keele University, Newcastle-Under-Lyme, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionVariability in blood glucose remains a challenge in diabetic management. Therefore, this review aimed to estimate the overall poor glycemic control and identify its predictors among people living with diabetes in low- and middle-income countries (LMICs).

methodsThe authors searched articles in PubMed, Embase, OVID, CINAHL Plus, Cochrane Library, PsychInfo, Google, and Google Scholar. The search results were exported to the Rayyan software to check their eligibility. The Newcastle-Ottawa scale was used to assess the study quality. Stata version 17 was used for analysis. A random effect model was computed. Heterogeneity was assessed by the Cochrane Q test and I-squared (I

resultsIn total, forty-nine articles were used. Of which forty-five articles with 15,981 participants were used for pooled prevalence estimation. The pooled prevalence of poor glycemic control among people living with diabetes in LMICs was found to be 69.06% (95% CI: 65.66-72.46), I

conclusionsThe pooled prevalence of poor glycemic control was significantly high in LMICs. Drinking alcohol, poor adherence to dietary recommendations, poor adherence to anti-diabetic medication, diabetes complications, and co-morbid conditions were found to be the determinants of poor glycemic control among people living with diabetes. Tight glycemic control strategies have been implemented to achieve optimal blood glucose. Further research on the regional and contextual factors influencing glycemic control would be recommended.

Indexed as

Developing CountriesDiabetes MellitusGlycemic ControlBlood GlucoseHumansBlood GlucoseBlood glucose controlDiabetes mellitusGlycemic controlLMICs

Identifiers

PMID39979862
PMCPMC11843772

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.