Evidence map›Paper›PMID 37105688›Full record

ArticleBMJ open2023

Diabetes care cascade and associated factors in 10 700 middle-aged adults in four sub-Saharan African countries: a cross-sectional study.

Alisha N Wade, Innocent Maposa, Godfred Agongo, Gershim Asiki, Palwende Boua, Solomon S R Choma, F Xavier Gómez-Olivé, Eric Maimela, Lisa K Micklesfield, Shukri F Mohamed and 6 more

Abstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
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  16. Psychological distress, coping methods and self-care among people with diabetes mellitus in Ibadan.Nigerian medical journal : journal of the Nigeria Medical Association
    Review
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

16 authors.

Alisha N WadeMRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, University of the Witwatersrand Johannesburg Faculty of Health Sciences, Johannesburg, South Africa Alisha.wade@wits.ac.za.ORCID 0000-0002-1158-2523
Innocent MaposaDivision of Epidemiology and Biostatistics, University of the Witwatersrand Johannesburg Faculty of Health Sciences, Johannesburg, South Africa.
Godfred AgongoNavrongo Health Research Centre, Navrongo, Ghana.
Gershim AsikiHealth and Systems for Health Unit, African Population and Health Research Center, Nairobi, Kenya.
Palwende BouaClinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Sante, Ouagadougou, Burkina Faso.ORCID 0000-0001-8325-2665
Solomon S R ChomaDepartment of Pathology and Medical Sciences, DIMAMO Population Health Research Centre, University of Limpopo, Sovenga, South Africa.ORCID 0000-0003-1338-6523
F Xavier Gómez-OlivéMRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, University of the Witwatersrand Johannesburg Faculty of Health Sciences, Johannesburg, South Africa.
Eric MaimelaDepartment of Public Health, University of Limpopo, Sovenga, South Africa.
Lisa K MicklesfieldSouth African Medical Research Council/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0002-4994-0779
Shukri F MohamedHealth and Systems for Health Unit, African Population and Health Research Center, Nairobi, Kenya.ORCID 0000-0002-8693-1943
Engelbert A NonterahNavrongo Health Research Centre, Navrongo, Ghana.
Shane A NorrisSouth African Medical Research Council/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0001-7124-3788
Hermann SorghoClinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Sante, Ouagadougou, Burkina Faso.
Michele RamsaySydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand Johannesburg Faculty of Health Sciences, Johannesburg, South Africa.
Nigel J CrowtherDepartment of Chemical Pathology, National Health Laboratory Service, University of the Witwatersrand Johannesburg Faculty of Health Sciences, Johannesburg, South Africa.
AWIGen and the H3Africa Consortium

Funding

Shared Core: Biobanking, Bioinformatics and Data ManagementU54HG006938 · NHGRI · WITS HEALTH CONSORTIUM (PTY), LTD · PI RAMSAY, MICHELE MICHELE · 2012 to 2022
$12.2M
Endocrine and metabolic diseases in rural South Africa-establishing burden and improving detectionK43TW010698 · FIC · WITS HEALTH CONSORTIUM (PTY), LTD · PI WADE, ALISHA NICOLE · 2017 to 2021
$581k
FIC NIH HHS K43 TW010698NHGRI NIH HHS U54 HG006938
6 · The paper itself

Abstract

objectivesWe investigated progression through the care cascade and associated factors for people with diabetes in sub-Saharan Africa to identify attrition stages that may be most appropriate for targeted intervention.

designCross-sectional study.

settingCommunity-based study in four sub-Saharan African countries.

participants10 700 individuals, aged 40-60 years. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome measure was the diabetes cascade of care defined as the age-adjusted diabetes prevalence (self-report of diabetes, fasting plasma glucose (FPG) ≥7 mmol/L or random plasma glucose ≥11.1 mmol/L) and proportions of those who reported awareness of having diabetes, ever having received treatment for diabetes and those who achieved glycaemic control (FPG <7.2 mmol/L). Secondary outcome measures were factors associated with having diabetes and being aware of the diagnosis.

resultsDiabetes prevalence was 5.5% (95% CI 4.4% to 6.5%). Approximately half of those with diabetes were aware (54%; 95% CI 50% to 58%); 73% (95% CI 67% to 79%) of aware individuals reported ever having received treatment. However, only 38% (95% CI 30% to 46%) of those ever having received treatment were adequately controlled. Increasing age (OR 1.1; 95% CI 1.0 to 1.1), urban residence (OR 2.3; 95% CI 1.6 to 3.5), hypertension (OR 1.9; 95% CI 1.5 to 2.4), family history of diabetes (OR 3.9; 95% CI 3.0 to 5.1) and measures of central adiposity were associated with higher odds of having diabetes. Increasing age (OR 1.1; 95% CI 1.0 to 1.1), semi-rural residence (OR 2.5; 95% CI 1.1 to 5.7), secondary education (OR 2.4; 95% CI 1.2 to 4.9), hypertension (OR 1.6; 95% CI 1.0 to 2.4) and known HIV positivity (OR 2.3; 95% CI 1.2 to 4.4) were associated with greater likelihood of awareness of having diabetes.

conclusionsThere is attrition at each stage of the diabetes care cascade in sub-Saharan Africa. Public health strategies should target improving diagnosis in high-risk individuals and intensifying therapy in individuals treated for diabetes.

Indexed as

Diabetes MellitusHypertensionAdultAfrica South of the SaharaBlood GlucoseCross-Sectional StudiesHumansMiddle AgedPrevalenceBlood GlucoseGeneral diabetesInternational health servicesPUBLIC HEALTH

Identifiers

PMID37105688
PMCPMC10151877

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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.