Evidence map›Paper›PMID 25656082›Full record

ArticleBMC medical research methodology2015

Impact of variability in adherence to HIV antiretroviral therapy on the immunovirological response and mortality.

Olayidé Boussari, Fabien Subtil, Christophe Genolini, Mathieu Bastard, Jean Iwaz, Noël Fonton, Jean-François Etard, René Ecochard, ANRS 1215 study group

Abstract read
In one paragraph

Article in BMC medical research methodology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

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  19. Health-related quality of life assessment among people living with HIV in Rio de Janeiro, Brazil: a cross-sectional study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019
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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

9 authors.

Olayidé BoussariMathematical Physics and Applications, Laboratoire d'Etude et de Recherche en Statistique Appliquée et Modélisation, Université d'Abomey-Calavi, Abomey-Calavi, Bénin. olayideb@yahoo.fr.
Fabien SubtilHospices Civils de Lyon, Service de Biostatistique, F-69003, Lyon, France. fabien.subtil@chu-lyon.fr.
Christophe GenoliniINSERM, UMR 1027, Research Unit on Perinatal Epidemiology and Childhood Disabilities, Adolescent Health, F-31062, Toulouse, France. christophe.genolini@u-paris10.fr.
Mathieu BastardEpicentre, F-75012, Paris, France. mathieu.bastard@geneva.msf.org.
Jean IwazHospices Civils de Lyon, Service de Biostatistique, F-69003, Lyon, France. jean.iwaz@chu-lyon.fr.
Noël FontonMathematical Physics and Applications, Laboratoire d'Etude et de Recherche en Statistique Appliquée et Modélisation, Université d'Abomey-Calavi, Abomey-Calavi, Bénin. hnfonton@gmail.com.
Jean-François EtardUMI 233 TransVIHMI, Institut de Recherche pour le Développement, Université Montpellier 1, F-34394, Montpellier, France. jean-francois.etard@ird.fr.
René EcochardHospices Civils de Lyon, Service de Biostatistique, F-69003, Lyon, France. rene.ecochard@chu-lyon.fr.
ANRS 1215 study group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral previous studies have shown relationships between adherence to HIV antiretroviral therapy (ART) and the viral load, the CD4 cell count, or mortality. However, the impact of variability in adherence to ART on the immunovirological response does not seem to have been investigated yet.

methodsMonthly adherence data (November 1999 to April 2009) from 317 HIV-1 infected patients enrolled in the Senegalese ART initiative were analyzed. Latent-class trajectory models were used to build typical trajectories for the average adherence and the standardized variance of adherence. The relationship between the standardized variance of adherence and each of the change in CD4 cell count, the change in viral load, and mortality were investigated using, respectively, a mixed linear regression, a mixed logistic regression, and a Cox model with time-dependent covariates. All the models were adjusted on the average adherence.

resultsThree latent trajectories for the average adherence and three for the standardized variance of adherence were identified. The increase in CD4 cell count and the increase in the percentage of undetectable viral loads were negatively associated with the standardized variance of adherence but positively associated with the average adherence. The risk of death decreased significantly with the increase in the average adherence but increased significantly with the increase of the standardized variance of adherence.

conclusionsThe impacts of the level and the variability of adherence on the immunovirological response and survival justify the inclusion of these aspects into the process of patient education: adherence should be both high and constant.

Indexed as

Antiretroviral Therapy, Highly ActiveDrug MonitoringAdultAnti-HIV AgentsCD4 Lymphocyte CountFemaleGovernment ProgramsHIV InfectionsHumansLinear ModelsLogistic ModelsMaleOutcome Assessment, Health CareProportional Hazards ModelsSenegalSurvival AnalysisAnti-HIV Agents

Identifiers

PMID25656082
PMCPMC4429708

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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.