Evidence map›Paper›PMID 21150555›Full record

ArticleAIDS (London, England)2011

Impact of NRTIs on lipid levels among a large HIV-infected cohort initiating antiretroviral therapy in clinical care.

Heidi M Crane, Carl Grunfeld, James H Willig, Michael J Mugavero, Stephen Van Rompaey, Richard Moore, Benigno Rodriguez, Betsy J Feldman, Michael M Lederman, Michael S Saag and 1 more

Open access · greenAbstract read
In one paragraph

Article in AIDS (London, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 91 citations in OpenAlex.

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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 5 institutions in 1 country.

Heidi M CraneUniversity of Washington, Seattle, Washington, USA. hcrane@u.washington.edu
Carl Grunfeld
James H Willig
Michael J Mugavero
Stephen Van Rompaey
Richard Moore
Benigno Rodriguez
Betsy J Feldman
Michael M Lederman
Michael S Saag
Mari M Kitahata
University of Alabama at Birmingham · USUniversity of Washington · USJohns Hopkins University · USUniversity of California, San Francisco · USUniversity of Washington Applied Physics Laboratory · US

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI Judith Tsui · 1988 to 2026
$104.9M
Unsolicited R24 for the CFAR-Network of Integrated Clinical Sciences, CNICSR24AI067039 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Michael S. Saag · 2006 to 2026
$99.4M
Genomic approaches to cardiometabolic risk and treatment in HIVR01HL125027 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CRANE, HEIDI M., PETER, INGA · 2014 to 2017
$2.9M
Lipodystrophy among HIV-infected patientsK23AI060464 · NIAID · UNIVERSITY OF WASHINGTON · PI CRANE, HEIDI M. · 2004 to 2008
$632k
Comparative effectiveness of lipid-lowering and antihypertensive medications amonR21HS019516 · AHRQ · UNIVERSITY OF WASHINGTON · PI CRANE, HEIDI M. · 2010 to 2010
$416k
AHRQ HHS R21 HS019516AHRQ HHS R21HS019516NHLBI NIH HHS R01 HL125027NIAID NIH HHS AI-27757NIAID NIH HHS AI-60464NIAID NIH HHS K23 AI060464NIAID NIH HHS L30 AI066958NIAID NIH HHS P30 AI027757NIAID NIH HHS R24 AI067039
6 · The paper itself

Abstract

objectiveto assess the associations between nucleoside reverse transcriptase inhibitors (NRTIs) and change in lipid levels among a large cohort of HIV-infected patients in routine clinical care initiating their first potent antiretroviral regimen.

designlongitudinal observational cohort study from the Centers for AIDS Research Network of Integrated Clinical Systems (CNICS) cohort.

methodswe used generalized estimating equations to examine the association between NRTIs and lipids accounting for within-patient correlations between repeated measures and key clinical and demographic characteristics including other antiretroviral medications.

resultsamong 2267 individuals who started their first antiretroviral regimen, tenofovir with emtricitabine or lamivudine was associated with lower levels for total cholesterol, low-density lipoprotein (LDL), triglycerides, non-high-density lipoprotein (HDL), and HDL, compared with other NRTI pairs in adjusted analyses. LDL levels were highest among patients receiving didanosine/lamivudine. Triglyceride levels were highest in stavudine/lamivudine users. HDL levels were highest among patients receiving didanosine/stavudine. Hepatitis C infection and younger age were also associated with lower lipid levels.

conclusionwe found clinically important heterogeneity within the NRTI class of antiretroviral medications regarding their effect on lipid levels over time. Although the lipid profile of tenofovir with emtricitabine or lamivudine appeared to be less pro-atherogenic in this large longitudinal study of HIV-infected patients in routine clinical care, there was no association with beneficial HDL levels. In general, the change in lipid levels associated with most antiretroviral agents, particularly those NRTI combinations currently in common use, are relatively modest. Additional studies are needed to understand the long-term implications of these findings on cardiovascular disease risk.

Indexed as

AdultAntiretroviral Therapy, Highly ActiveCohort StudiesDidanosineDyslipidemiasFemaleHIV-1HIV InfectionsHumansLamivudineLongitudinal StudiesMaleMiddle AgedReverse Transcriptase InhibitorsRisk AssessmentRisk FactorsDidanosineLamivudineReverse Transcriptase InhibitorsStavudine

Identifiers

PMID21150555
PMCPMC6027746
OpenAlexW2041929630

What OpenQuestion holds

Textmetadata
LicenceTDM
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.