Evidence map›Paper›PMID 39117341›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2025

Integrase Strand Transfer Inhibitor-Related Changes in Body Mass Index and Risk of Diabetes: A Prospective Study From the RESPOND Cohort Consortium.

Dhanushi Rupasinghe, Loveleen Bansi-Matharu, Matthew Law, Robert Zangerle, Andri Rauch, Philip E Tarr, Lauren Greenberg, Bastian Neesgaard, Nadine Jaschinski, Stéphane De Wit and 17 more

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Observational
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  10. HIV Treatment Paradigm Shifts over the Past 40 Years.Jugan geon-gang gwa jilbyeong · 2025
    Review
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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

27 authors.

Dhanushi RupasingheThe Australian HIV Observational Database, The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia.ORCID 0000-0002-4014-3570
Loveleen Bansi-MatharuCentre for Clinical Research, Epidemiology, Modelling and Evaluation, Institute for Global Health, University College London, London, United Kingdom.
Matthew LawThe Australian HIV Observational Database, The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia.
Robert ZangerleAustrian HIV Cohort Study, Medizinische Universität Innsbruck, Innsbruch, Austria.
Andri RauchDepartment of Infectious Diseases, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Philip E TarrSwiss HIV Cohort Study, University Department of Medicine, Kantonsspital Baselland, University of Basel, Bruderholz, Switzerland.
Lauren GreenbergCentre for Clinical Research, Epidemiology, Modelling and Evaluation, Institute for Global Health, University College London, London, United Kingdom.
Bastian NeesgaardCHIP, Section 2100, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Nadine JaschinskiCHIP, Section 2100, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Stéphane De WitCHU Saint-Pierre, Centre de Recherche en Maladies Infectieuses a.s.b.l., Brussels, Belgium.
Ferdinand WitAIDS Therapy Evaluation in the Netherlands Cohort, HIV Monitoring Foundation, Amsterdam, The Netherlands.
Antonella d'Arminio MonforteItalian Cohort Naive Antiretrovirals, ASST Santi Paolo e Carlo, Milano, Italy.
Eric FontasNice HIV Cohort, Université Côte d'Azur et Centre Hospitalier Universitaire, Nice, France.
Antonella CastagnaSan Raffaele Scientific Institute, Università Vita-Salute San Raffaele, Milano, Italy.
Melanie StecherDepartment I for Internal Medicine, University Hospital Cologne, Cologne, Germany.
Eric FlorenceInstitute of Tropical Medicine, Antwerp, Belgium.
Josip BegovacDepartment of Infectious Diseases, University Hospital for Infectious Diseases, Zagreb, Croatia.
Cristina MussiniModena HIV Cohort, Università degli Studi di Modena, Modena, Italy.
Anders SönnerborgSwedish InfCare HIV Cohort, Karolinska University Hospital, Stockholm, Sweden.
Akaki AbutidzeGeorgian National AIDS Health Information System, Infectious Diseases, AIDS and Clinical Immunology Research Center, Tbilisi, Georgia.
Ana GrohFrankfurt HIV Cohort Study, Johann Wolfgang Goethe-University Hospital, Frankfurt, Germany.
Vani VannappagariViiV Healthcare, Durham, North Carolina, USA.
Cal CohenGilead Sciences, Foster City, California, USA.
Lital YoungMerck & Co., Whitehouse Station, New Jersey, USA.
Sean HoseinEuropean AIDS Treatment Group, Brussels, Brussels Region.
Lene RyomCHIP, Section 2100, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Kathy PetoumenosThe Australian HIV Observational Database, The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia.

Funding

The Asia-Pacific HIV Research CollaborationU01AI069907 · NIAID · FOUNDATION FOR AIDS RESEARCH · PI ANNETTE H SOHN · 2006 to 2026
$44.8M
CHU St Pierre Brussels HIV Cohort U01-AI069907International Cohort Consortium of Infectious DiseaseNational Health and Medical Research CouncilNIAID NIH HHS U01 AI069907US National Institutes of Health GNT2023845
6 · The paper itself

Abstract

backgroundWith integrase strand transfer inhibitor (INSTI) use associated with increased body mass index (BMI) and BMI increases associated with higher diabetes mellitus (DM) risk, we explored the relationships between INSTI/non-INSTI regimens, BMI changes, and DM risk.

methodsRESPOND participants were included if they had CD4, human immunodeficiency virus (HIV) RNA, and ≥2 BMI measurements during follow-up. Those with prior DM were excluded. DM was defined as a random blood glucose ≥11.1 mmol/L, hemoglobin A1c ≥6.5%/48 mmol/mol, use of antidiabetic medication, or site-reported clinical diagnosis. Poisson regression was used to assess the association between natural log (ln) of time-updated BMI and current INSTI/non-INSTI and their interactions on DM risk.

resultsAmong 20 865 people with HIV included, most were male (74%) and White (73%). Baseline median age was 45 years (interquartile range [IQR], 37-52), with a median BMI of 24 kg/m2 (IQR, 22-26). There were 785 DM diagnoses with a crude rate of 0.73 (95% confidence interval [CI], .68-.78)/100 person-years of follow-up. ln(BMI) was strongly associated with DM (adjusted incidence rate ratio [aIRR], 16.54 per log increase; 95% CI, 11.33-24.13; P < .001). Current INSTI use was associated with increased DM risk (IRR, 1.58; 95% CI, 1.37-1.82; P < .001) in univariate analyses and only partially attenuated when adjusted for variables including ln(BMI) (aIRR, 1.48; 95% CI, 1.29-1.71; P < .001). There were no interactions between ln(BMI), INSTI, and non-INSTI use and DM (P = .130).

conclusionsIn RESPOND, compared with non-INSTIs, current use of INSTIs was associated with an increased DM risk, which partially attenuated when adjusted for BMI changes and other variables.

Indexed as

Body Mass IndexDiabetes MellitusHIV InfectionsHIV Integrase InhibitorsAdultFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsHIV Integrase InhibitorsBMIdiabetesINSTI usepeople with HIVweight gain

Identifiers

PMID39117341
PMCPMC11848263

What Socratic holds

Textmetadata
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 Socratic graph.