Evidence map›Paper›PMID 24204757›Full record

Trial reportPloS one2013

HIV lipodystrophy in participants randomised to lopinavir/ritonavir (LPV/r) +2-3 nucleoside/nucleotide reverse transcriptase inhibitors (N(t)RTI) or LPV/r + raltegravir as second-line antiretroviral therapy.

Allison Martin, Cecilia L Moore, Patrick W G Mallon, Jennifer F Hoy, Sean Emery, Waldo H Belloso, Praphan Phanuphak, Samuel Ferret, David A Cooper, Mark A Boyd and 1 more

2 registry-linked trialsOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 12% 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.

NCT00931463 phase4completednot on this map

A Randomised Open-label Study Comparing the Safety and Efficacy of Ritonavir Boosted Lopinavir and 2-3N(t)RTI Backbone Versus Ritonavir Boosted Lopinavir and Raltegravir in Participants Virologically Failing First-line NNRTI/2N(t)RTI Therapy

TypeinterventionalSponsorKirby InstituteRan2009 to 2013Enrolled558ConditionsHIV InfectionsArmsraltegravir, 2N(t)RTI, Ritonavir-boosted lopinavir
NCT01513122 phase4completednot on this map

Bone and Body Comp: A Sub Study of the SECOND-LINE Study

TypeinterventionalSponsorKirby InstituteRan2010 to 2013Enrolled210ConditionsHIVArmsLopinavir / ritonavir, 2-3N(t)RTI, raltegravir
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 17 citations in OpenAlex.

  1. 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

11 authors at 7 institutions in 5 countries.

Allison MartinThe Kirby Institute, University of New South Wales, Sydney, New South Wales, Australia.
Cecilia L Moore
Patrick W G Mallon
Jennifer F Hoy
Sean Emery
Waldo H Belloso
Praphan Phanuphak
Samuel Ferret
David A Cooper
Mark A Boyd
Second-Line Study Team
UNSW Sydney · AUEstudios Clínicos Latinoamérica · ARHôpital Saint-Louis · FRMonash University · AUNew South Wales Institute of Psychiatry · AUThai Red Cross Society · THUniversity College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare changes over 48 weeks in body fat, lipids, Metabolic Syndrome and cardiovascular disease risk between patients randomised 1:1 to lopinavir/ritonavir (r/LPV) plus raltegravir (RAL) compared to r/LPV plus 2-3 nucleoside/nucleotide reverse transcriptase inhibitors (N(t)RTIs) as second-line therapy.

methodsParticipants were HIV-1 positive (>16 years) failing first-line treatment (2 consecutive HIV RNA >500 copies/mL) of NNRTI +2N(t)RTI. Whole body dual energy x-ray absorptiometry was performed at baseline and week 48. Data were obtained to calculate the Metabolic Syndrome and Framingham cardiovascular disease (CVD) risk score. Linear regression was used to compare mean differences between arms. Logistic regression compared incidence of metabolic syndrome. Associations between percent limb fat changes at 48 weeks with baseline variables were assessed by backward stepwise multivariate linear regression. Analyses were adjusted for gender, body mass index and smoking status.

results210 participants were randomised. The mean (95% CI) increase in limb fat over 48 weeks was 15.7% (5.3, 25.9) or 0.9 kg (0.2, 1.5) in the r/LPV+N(t)RTI arm and 21.1% (11.1, 31,1) or 1.3 kg (0.7, 1.9) in the r/LPV+RAL arm, with no significant difference between treatment arms (-5.4% [-0.4 kg], p>0.1). Increases in total body fat mass (kg) and trunk fat mass (kg) were also similar between groups. Total:HDL cholesterol ratio was significantly higher in the RAL arm (mean difference -0.4 (1.4); p = 0.03), there were no other differences in lipid parameters between treatment arms. There were no statistically significant differences in CVD risk or incidence of Metabolic Syndrome between the two treatment arms. The baseline predictors of increased limb fat were high viral load, high insulin and participant's not taking lipid lowering treatment.

conclusionIn patients switching to second line therapy, r/LPV combined with RAL demonstrated similar improvements in limb fat as an N(t)RTI + r/LPV regimen, but a worse total:HDL cholesterol ratio over 48 weeks.

trial registrationThis clinical trial is registered on Clinicaltrials.gov, registry number NCT00931463 http://clinicaltrials.gov/ ct2/show/NCT00931463?term = NCT00931463&rank = 1.

Indexed as

AdultAnti-HIV AgentsBody Fat DistributionBody Mass IndexCardiovascular DiseasesCholesterolDrug Therapy, CombinationFemaleHIV-1HIV InfectionsHumansLipodystrophyLogistic ModelsLopinavirMaleMetabolic SyndromeAnti-HIV AgentsCholesterolLopinavirPyrrolidinonesRaltegravir PotassiumReverse Transcriptase InhibitorsRitonavirRNA, Viral

Identifiers

PMID24204757
PMCPMC3813715
OpenAlexW2073618168

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.