ArticleAntiviral therapy2010
Glycated haemoglobin in diabetic women with and without HIV infection: data from the Women's Interagency HIV Study.
Article in Antiviral therapy, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.
- Noncommunicable diseases among HIV-infected persons in low-income and middle-income countries: a systematic review and meta-analysis.AIDS (London, England) · 2018Pooled it
- The effect of HIV infection on glycaemia and renal function in type 2 diabetic patients.PloS one · 2018Trial
- Deciphering the Association: Critical HDL-C Levels and Their Impact on the Glycation Gap in People Living with HIV.International journal of molecular sciences · 2025Article
- A large portion of diabetes cases in sub-Saharan African populations with HIV represent drug-induced diabetes.Diabetologia · 2023Article
- Article
- Clinic-based diabetes screening at the time of HIV testing and associations with poor clinical outcomes in South Africa: a cohort study.BMC infectious diseases · 2021Article
- Prevalence and Clinical Profiling of Dysglycemia and HIV Infection in Persons With Pulmonary Tuberculosis in Brazil.Frontiers in medicine · 2021Article
- Tuberculosis, Human Immunodeficiency Virus, and the Association With Transient Hyperglycemia in Periurban South Africa.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020Article
- Glycemic Control Among People Living with Diabetes and Human Immunodeficiency Virus in Ethiopia: Leveraging Clinical Care for the Looming Co-Epidemics.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020Article
- Validity of hemoglobin A1c for diagnosing diabetes among people with and without HIV in Uganda.International journal of STD & AIDS · 2019Article
- Endocrinological aspects of HIV infection.Journal of endocrinological investigation · 2018Review
- Diabetes mellitus in HIV-infected patients: fasting glucose, A1c, or oral glucose tolerance test - which method to choose for the diagnosis?BMC infectious diseases · 2018Article
- Observational
- Glycated haemoglobin ABMJ open · 2018Article
- Trilateral overlap of tuberculosis, diabetes and HIV-1 in a high-burden African setting: implications for TB control.The European respiratory journal · 2017Article
- Article
- Oral Glucose Tolerance Testing identifies HIV+ infected women with Diabetes Mellitus (DM) not captured by standard DM definition.Journal of AIDS & clinical research · 2016Article
- Inaccuracy of haemoglobin A1c among HIV-infected men: effects of CD4 cell count, antiretroviral therapies and haematological parameters.The Journal of antimicrobial chemotherapy · 2014Article
- Contributors to diffusion impairment in HIV-infected persons.The European respiratory journal · 2014Article
- Relationship of ethnicity and CD4 Count with glucose metabolism among HIV patients on Highly-Active Antiretroviral Therapy (HAART).BMC endocrine disorders · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 12 institutions in 1 country.
Funding
Abstract
backgroundLimited data suggest that glycated haemoglobin (haemoglobin A1c; A1C) values might not reflect glycaemic control accurately in HIV-infected individuals with diabetes.
methodsWe evaluated repeated measures of paired fasting glucose and A1C values in 315 HIV-infected and 109 HIV-uninfected diabetic participants in the Women's Interagency HIV Study. Generalized estimating equations used log A1C as the outcome variable, with adjustment for log fasting glucose concentration in all models.
resultsAn HIV-infected woman on average had 0.9868 times as much A1C (that is, 1.32% lower; 95% confidence interval 0.9734-0.9904) as an HIV-uninfected woman with the same log fasting glucose concentration. In multivariate analyses, HIV serostatus was not associated, but White, other non-Black race, and higher red blood cell mean corpuscular volume (MCV) were statistically associated with lower A1C values. Use of diabetic medication was associated with higher A1C values. In multivariate analyses restricted to HIV-infected women, White and other race, higher MCV, and HCV viraemia were associated with lower A1C values, whereas older age, use of diabetic medications and higher CD4(+) T-cell count were associated with higher A1C values. Use of combination antiretroviral therapy, protease inhibitors, zidovudine, stavudine or abacavir was not associated with A1C values.
conclusionsA1C values were modestly lower in HIV-infected diabetic women relative to HIV-uninfected diabetic women after adjustment for fasting glucose concentration. The difference was abrogated by adjustment for MCV, race and diabetic medication use. Our data suggest that in clinical practice A1C gives a reasonably accurate refection of glycaemic control in HIV-infected diabetic women.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.