Evidence map›Paper›PMID 29529066›Full record

Trial reportPloS one2018

Type 2 diabetes prevalence and its risk factors in HIV: A cross-sectional study.

Alastair D Duncan, Louise M Goff, Barry S Peters

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 2 pooled it
12.7field-weighted citation impact, top 1% 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

58 citing papers in PubMed, 2 syntheses or guidelines pooled it, 125 citations in OpenAlex.

  1. Pooled it
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  15. Interventions for Type 2 Diabetes reduction among older people living with HIV in Harare.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2024
    Review
  16. Article
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  20. Risks of Type 2 diabetes among older people living with HIV: A scoping review.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2023
    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

3 authors at 2 institutions in 1 country.

Alastair D DuncanHIV Medicine, Guy's and St. Thomas' Hospital NHS Trust, London, United Kingdom.ORCID 0000-0002-6284-8192
Louise M GoffDiabetes and Nutritional Sciences, King's College, London, United Kingdom.
Barry S PetersHIV Medicine, Guy's and St. Thomas' Hospital NHS Trust, London, United Kingdom.
St Thomas' Hospital · GBKing's College London · GB

Funding

Department of Health CDRF-2012-03-021
6 · The paper itself

Abstract

backgroundType 2 diabetes (T2D) has a reported greater prevalence and poorer treatment outcomes in people living with HIV (PLWH) than comparable HIV-uninfected cohorts. We conducted a cross-sectional study to delineate the factors driving T2D in PLWH in an ethnically diverse cohort, and additionally observed how these have changed over time.

settingWe studied a diverse HIV cohort in London to determine the prevalence and risk factors for T2D, and compared them to a cohort studied 10 years previously.

methodsPatients were classified as normoglycaemic (fasting glucose <6.0 mmol/l) or dysglycaemic (≥6.0 mmol/l). The relative contribution to dysglycaemia of modifiable and fixed factors, including demographics, anthropometrics, comorbidities, immune status, and HIV therapy, were analysed using univariate and logistic regression analyses.

resultsT2D prevalence was 15.1% in 2015 with a relative risk of 2.4 compared to the general population. The prevalence compared to 6.8% ten years earlier. The 2015 versus the 2005 cohort was significantly older (median age 49 (42-57) years versus 41 (IQR 35-47), p<0.001), had a higher BMI (27.4 (23.3-29.9) versus 24.9 (22.4-28.0) kg/m2 respectively, p = 0.019) and hypertensive (37.9% versus 19.6 respectively, p<0.001). The strongest predictors of dysglycaemia in the 2015 cohort were hepatic steatosis and hypertension, odds ratios (OR) and 95% confidence intervals (CI) 6.74 (3.48-13.03) and 2.92 (1.66-5.16) respectively, and also HIV-related factors of weight gain following antiretroviral initiation and longer known duration of HIV infection (OR 1.07 (1.04-1.11) and 1.06 (1.02-1.10) respectively).

conclusionsThe alarmingly high prevalence of T2D in HIV requires improved screening, targeted to older patients and those with a longer duration of exposure to antiretrovirals. Effective diabetes prevention and management strategies are needed urgently to reduce this risk; such interventions should target both conventional risk factors, such as abdominal obesity, and HIV-specific risk factors such as weight gain following initiation of antiretrovirals.

Indexed as

AdultAge FactorsDiabetes Mellitus, Type 2FemaleHIV-1HIV InfectionsHumansMaleMiddle AgedPrevalenceRisk Factors

Identifiers

PMID29529066
PMCPMC5847234
OpenAlexW2789346431

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.