Evidence map›Paper›PMID 35045105›Full record

ArticlePloS one2022

Prevalence and predictors of glucose metabolism disorders among People Living with HIV on combination antiretroviral therapy.

Wondmagegn Tamiru Tadesse, Birhanemeskel T Adankie, Workineh Shibeshi, Wondwossen Amogne, Eleni Aklillu, Ephrem Engidawork

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. [Triglyceride-glucose index changes after one year of antiretroviral therapy].Revista medica del Instituto Mexicano del Seguro Social · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. [Associated factors for prediabetes in patients with human immunodeficiency virus].Revista medica del Instituto Mexicano del Seguro Social · 2023
    Observational
  10. Journal of personalized medicine · 2022
    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

6 authors at 3 institutions in 2 countries.

Wondmagegn Tamiru TadesseDepartment of Pharmacology and Clinical Pharmacology, School of Pharmacy, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.ORCID 0000-0001-6143-0387
Birhanemeskel T AdankieDepartment of Medical Microbiology, School of Medicine, St. Paul Specialized Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Workineh ShibeshiDepartment of Pharmacology and Clinical Pharmacology, School of Pharmacy, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Wondwossen AmogneDepartment of Internal Medicine, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Eleni AklilluDepartment of Laboratory Medicine, Division of Clinical Pharmacology, Karolinska Institute, Stockholm, Sweden.ORCID 0000-0002-9788-0790
Ephrem EngidaworkDepartment of Pharmacology and Clinical Pharmacology, School of Pharmacy, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.ORCID 0000-0002-9931-6421
Addis Ababa University · ETKarolinska Institutet · SESt. Paul's Hospital Millennium Medical College · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe investigated prevalence and predictors of glucose metabolism disorders (GMDs) among People Living with HIV (PLWH) on efavirenz- and atazanavir/ritonavir-based combination antiretroviral therapy (cART).

methodsThis cross-sectional study involved adult PLWH on efavirenz- (n = 240) and atazanavir/ritonavir-based (n = 111) cART. The prevalence of GMDs was determined by fasting serum glucose, insulin, and homeostasis model assessment. A logistic regression model was used to determine predictors.

resultsThe overall prevalence of GMDs for all regimens was 27.6% (97/351) [95% CI 23.0-32.6%] s, with 31.1% (75/240) [95% CI 25.4-37.5%] for efavirenz-based and 19.8% (22/111) [95% CI 12.9-28.5%)] for atazanavir/ritonavir-based cART group. The prevalence of impaired fasting glycemia was significantly higher (p = 0.026) in the efavirenz- [(15.4%) (37/240); 95%CI (11.1-20.6%)] than atazanavir/ritonavir-based [(7.2%) (8/111), (95%CI (3.2-13.7%)] cART. However, no significant difference was observed in the prevalence of diabetes mellitus and insulin resistance between the two regimens. Age ≥46 years old and specific type of ARV contained in cART, such as TDF, were independent predictors of GMD in both groups. Whereas the male gender and BMI category were predictors of GMDs among EFV-based cART group, AZT- and ABC- containing regimens and triglyceride levels were predictors in the ATV/r-based group.

conclusionsGMDs were highly prevalent among adults on EFV- than ATV/r-based cARTs. Age ≥46 years and TDF-containing cARTs are common predictors in both regimens. Close monitoring for impaired fasting glucose during long-term EFV-based cART is recommended for early diagnosis of type-2 diabetes and management.

Indexed as

AdultAlkynesAnti-HIV AgentsAntiretroviral Therapy, Highly ActiveAtazanavir SulfateBenzoxazinesBlood GlucoseCross-Sectional StudiesCyclopropanesDrug CombinationsDrug Therapy, CombinationEthiopiaFemaleGlucoseGlucose Metabolism DisordersHIVAlkynesAnti-HIV Agentsatazanavir, ritonavir drug combinationAtazanavir SulfateBenzoxazinesBlood GlucoseCyclopropanesDrug CombinationsefavirenzGlucoseInsulinRitonavir

Identifiers

PMID35045105
PMCPMC8769333
OpenAlexW4205842863

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.