Evidence map›Paper›PMID 33469326›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2021

Metabolic Control and Determinants Among HIV-Infected Type 2 Diabetes Mellitus Patients Attending a Tertiary Clinic in Botswana.

Godfrey Mutashambara Rwegerera, Dorothea H P Shailemo, Yordanka Pina Rivera, Kathryn O Mokgosi, Portia Bale, Taibat Aderonke Oyewo, Bruno Diaz Luis, Dereje Habte, Brian Godman

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. 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

9 authors at 5 institutions in 5 countries.

Godfrey Mutashambara RwegereraDepartment of Internal Medicine, Faculty of Medicine, University of Botswana, Gaborone, Botswana.ORCID 0000-0002-5896-6065
Dorothea H P ShailemoDepartment of Pharmacology and Therapeutics, School of Pharmacy, University of Namibia, Windhoek, Namibia.
Yordanka Pina RiveraDepartment of Medicine, Sidilega Private Hospital, Gaborone, Botswana.ORCID 0000-0002-5880-0073
Kathryn O MokgosiDepartment of Obstetrics and Gynaecology, Nyangabgwe Referral Hospital, Francistown, Botswana.ORCID 0000-0003-0439-8434
Portia BaleOtse Outpatient Clinic, District Health Management Team, Lobatse, Botswana.
Taibat Aderonke OyewoDepartment of Medicine, Princess Marina Hospital, Gaborone, Botswana.ORCID 0000-0001-5247-8637
Bruno Diaz LuisDepartment of Medicine, Princess Marina Hospital, Gaborone, Botswana.
Dereje HabteConsultant Public Health Specialist, Addis Ababa, Ethiopia.ORCID 0000-0002-4720-4188
Brian GodmanSchool of Pharmacy, Sefako Makgatho Health Sciences University, Ga-Rankuwa, Pretoria 0208, South Africa.ORCID 0000-0001-6539-6972
University of Botswana · BWBotswana Vaccine Institute (Botswana) · BWKarolinska University Hospital · SENyangabgwe Referral Hospital · BWUniversity of Namibia · NA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe primarily aimed at determining the prevalence of metabolic syndrome and abnormal individual metabolic control variables in HIV-infected participants as compared to HIV-uninfected participants given current concerns. Our secondary objective was to determine the predictors of metabolic syndrome and individual metabolic control variables among the study participants to guide future management. PATIENTS AND

methodsA descriptive, case-matched cross-sectional study for four months from 15th June 2019 to 15th October 2019 at Block 6 Diabetes Reference Clinic in Gaborone, Botswana. We compared the proportions of metabolic syndrome and individual metabolic control variables based on gender and HIV status by means of bivariate analysis (Chi-squared test or Fisher's exact test) to determine factors associated with metabolic control. A p-value of less than 0.05 was considered statistically significant.

resultsOverall, 86% of the study participants were found to have metabolic syndrome by International Diabetes Federation (IDF) criteria with 79.8% among HIV-infected and 89.1% among HIV-negative participants (p-value = 0.018). Older age was significantly associated with metabolic syndrome (p-value = 0.008). Female gender was significantly associated with metabolic syndrome as compared to male gender (P-value < 0.001), and with a statistically significant higher proportion of low HDL-C compared to males (P-value < 0.001). Female participants were significantly more likely to be obese as compared to males (P-value < 0.001). High triglycerides were more common in HIV-infected compared to HIV-negative participants (P-value = 0.004). HIV-negative participants were more likely to be obese as compared to HIV-infected participants (P-value = 0.003).

conclusionMetabolic syndrome is an appreciable problem in this tertiary clinic in Botswana for both HIV-infected and HIV-negative participants. Future prospective studies are warranted in our setting and similar sub-Saharan settings to enhance understanding of the role played by HAART in causing the metabolic syndrome, and the implications for future patient management.

Indexed as

Botswanadiabetes mellitusHIVhuman immunodeficiency virus infectionmetabolic syndromesub-Saharan Africa

Identifiers

PMID33469326
PMCPMC7810972
OpenAlexW3109013888

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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 Socratic graph.