Evidence map›Paper›PMID 21919542›Full record

ArticleClinical drug investigation2011

Morphological and metabolic components of lipodystrophy in various nevirapine-based highly active antiretroviral therapy (HAART) regimens: a cross-sectional, observational study.

Giovanni Guaraldi, Stefano Zona, Gabriella Orlando, Federica Carli, Chiara Stentarelli, Kety Luzi, Elisa Garlassi, Marianna Menozzi, Pietro Bagni, Fulvio Adorni

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Clinical drug investigation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 79% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

10 authors at 2 institutions in 1 country.

Giovanni GuaraldiClinica delle Malattie Infettive, Università degli Studi di Modena e Reggio Emilia, Modena, Italy. giovanni.guaraldi@unimore.it
Stefano Zona
Gabriella Orlando
Federica Carli
Chiara Stentarelli
Kety Luzi
Elisa Garlassi
Marianna Menozzi
Pietro Bagni
Fulvio Adorni
University of Modena and Reggio Emilia · ITInstitute of Biomedical Technologies · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMorphological abnormalities (lipoatrophy and central fat accumulation) and metabolic changes (dyslipidaemia and glucose regulation impairment) have emerged as components of lipodystrophy and as major tolerability issues with long-term use of highly active antiretroviral therapy (HAART) in HIV-positive patients. Protease inhibitors (PIs) are recognized as having the greatest impact in terms of metabolic complications, followed by nucleoside reverse transcriptase inhibitors, while the non-nucleoside reverse transcriptase inhibitors (NNRTIs) have the least impact. In particular, regimens based on the NNRTI nevirapine have been shown to achieve significant metabolic benefits and may help to improve dyslipidaemia. Improvements in body shape changes associated with lipodystrophy have also been reported when nevirapine replaced a PI in long-term triple therapy.

objectiveThe objective of this cross-sectional observational ('real-world') study was to investigate the effect of three HAART regimens plus stable nevirapine therapy on morphological and metabolic components of lipodystrophy in HIV-infected patients.

methodsConsecutive patients (aged >18 years) with serologically documented HIV infection, who had received HAART for at least 2 years and who had been diagnosed with lipodystrophy, were followed up as outpatients at the metabolic clinic of the University of Modena and Reggio Emilia, Modena, Italy. Patients received stable nevirapine therapy plus fixed-dose combinations of tenofovir disoproxil fumarate plus emtricitabine (Truvada(®); TVD), zidovudine plus lamivudine (3TC) [Combivir(®); CBV], or abacavir plus lamivudine (Kivexa(®); KVX). Multivariate regression analyses were performed to analyse predictors of four components of lipodystrophy: lipoatrophy using leg fat mass measured by dual-emission x-ray absorptiometry (DXA), fat accumulation using waist circumference, dyslipidaemia using apolipoprotein (Apo)B/ApoA1 ratio, and glucose intolerance using the Homeostasis Model Assessment for Insulin Resistance (HOMA-IR).

resultsOverall, 101 patients were enrolled (TVD group = 61, CBV group = 20, KVX group = 20); 191 observations were analysed. Male sex was associated with reduced leg fat mass, while age and body mass index (BMI) were associated with increased leg fat mass (all p < 0.05). Leg fat mass and male sex were associated with increased waist circumference (p < 0.001 for both). Leg fat mass predicted reduced ApoB/ApoA1 ratio, while age and BMI predicted increased ApoB/ApoA1 ratio (all p < 0.05). BMI predicted HOMA-IR increase (p = 0.0017). No differences in lipoatrophy, central fat accumulation, dyslipidaemia or glucose metabolism were observed among any of the three different nevirapine plus nucleoside backbone groups (TVD, CBV or KVX).

conclusionHAART including nevirapine has a limited impact on components of lipodystrophy in patients with HIV infection. Further studies are needed to verify if nevirapine overcomes the expected distinct lipodystrophy risk profile associated with different nucleoside backbone therapies.

Indexed as

AdultAgedAnti-HIV AgentsAntiretroviral Therapy, Highly ActiveBody CompositionBody Fat DistributionCross-Sectional StudiesDrug CombinationsDyslipidemiasFemaleHIV-1HIV InfectionsHumansInsulin ResistanceItalyLipodystrophyAnti-HIV AgentsDrug CombinationsNevirapineProtease InhibitorsReverse Transcriptase Inhibitors

Identifiers

PMID21919542
OpenAlexW2173533024

What OpenQuestion 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 OpenQuestion graph.