Evidence map›Paper›PMID 35982436›Full record

ArticleBMC medicine2022

A retrospective database study of the demographic features and glycemic control of patients with type 2 diabetes in Kinshasa, Democratic Republic of the Congo.

Diana Sagastume, Elly Mertens, Deogratias Katsuva Sibongwere, Jean-Claude Dimbelolo, Jean Clovis Kalobu Kabundi, Jeroen de Man, Josefien Van Olmen, José L Peñalvo

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 25% 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.

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

3 citing papers in PubMed, 6 citations in OpenAlex.

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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 at 4 institutions in 2 countries.

Diana SagastumeUnit of Non-Communicable Diseases, Department of Public Health, Institute of Tropical Medicine, Nationalestraat 155, 2000, Antwerp, Belgium. dsagastume@itg.be.ORCID 0000-0002-9130-854X
Elly MertensUnit of Non-Communicable Diseases, Department of Public Health, Institute of Tropical Medicine, Nationalestraat 155, 2000, Antwerp, Belgium.ORCID 0000-0003-4957-4235
Deogratias Katsuva SibongwereUnit of Non-Communicable Diseases, Department of Public Health, Institute of Tropical Medicine, Nationalestraat 155, 2000, Antwerp, Belgium.
Jean-Claude DimbeloloCentre d'Éducation Diabète & Santé Boulevard Lumumba n° 1 Musoso district, Municipality of Limete, Kinshasa, Democratic Republic of the Congo.
Jean Clovis Kalobu KabundiMemisa, 19 Square de Meeûs, 1050 Brussels, Belgium and Memisa representation in Kinshasa, 47 Kisangani, commune de la Gombe, Kinshasa, Democratic Republic of the Congo.
Jeroen de ManDepartment of Family Medicine and Population Health, University of Antwerp, Doornstraat 331, 2610, Wilrijk, Belgium.ORCID 0000-0002-3196-8757
Josefien Van OlmenDepartment of Family Medicine and Population Health, University of Antwerp, Doornstraat 331, 2610, Wilrijk, Belgium.ORCID 0000-0001-9724-1887
José L PeñalvoUnit of Non-Communicable Diseases, Department of Public Health, Institute of Tropical Medicine, Nationalestraat 155, 2000, Antwerp, Belgium.ORCID 0000-0003-0096-6238
Instituut voor Tropische Geneeskunde · BEUniversity of Antwerp · BEMinistry of Public Health · CDUniversité de Kisangani · CD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Kin-Antwerp project aimed at improving the quality of care provided to patients with diabetes in Kinshasa, the Democratic Republic of the Congo in Central Africa, including the digitalisation of routine clinical data to improve patients' follow-up. We aim to analyse the data of a study population of Kin-Antwerp to characterise their demographic features, assess their achievement of glycemic target over time, and identify groups requiring prioritised attention.

methodsWe performed a secondary database analysis of routinely collected information from primary care patients with type 2 diabetes followed from 1991 to 2019. Data included demographics (age, sex), anthropometrics (weight, height), clinical parameters (blood pressure, plasma glucose), and anti-diabetic treatments. Achievement of glycemic target, defined as fasting plasma glucose < 126 mg/dL, over time was assessed using a multilevel mixed-effects logistic regression model.

resultsOur study population of patients with type 2 diabetes (N = 8976) comprised a higher proportion of women (67%) and patients between 40 and 65 years old (70.4%). At the first follow-up, most patients were on treatment with insulin (56.5%) and had glycemic levels under the target (79.9%). Women presented more often with obesity (27.4%) and high systolic blood pressure (41.8%) than men (8.6% and 37.0%, respectively). Patients had a median follow-up of 1.8 (interquartile range: 0.5-3.4) years. Overall, the odds of achieving glycemic target increased by 18.4% (odds ratio: 1.184, 95% CI: 1.130 to 1.239; p < 0.001) per year of follow-up. Stratified analyses suggested that the odds of achieving glycemic control over time increased among older patients (> 40 years), but not among younger patients (< 40 years).

conclusionIn our study population, an overall poor glycemic control was observed albeit with a modest improvement in the achievement of glycemic target throughout patients' follow-up. Younger patients may benefit from prioritised attention to achieve glycemic targets. Based on the information provided by the database, continue monitoring and improvement of the project Kin-Antwerp is recommended. Introducing further efforts to improve type 2 diabetes management should include robust glycemia-monitoring tools and haemoglobin A1c, as well as further outlining self-management strategies.

Indexed as

Diabetes Mellitus, Type 2AdultAgedBlood GlucoseDemocratic Republic of the CongoDemographyFemaleGlycated HemoglobinGlycemic ControlHumansMaleMiddle AgedRetrospective StudiesBlood GlucoseGlycated HemoglobinGlycemic targetLongitudinal analysisMetabolic risk factorsPrimary care databaseType 2 diabetes

Identifiers

PMID35982436
PMCPMC9389797
OpenAlexW4292508714

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.