Evidence map›Paper›PMID 25472544›Full record

Observational studyBMC infectious diseases2014

Short term adherence tool predicts failure on second line protease inhibitor-based antiretroviral therapy: an observational cohort study.

Richard Court, Rory Leisegang, Annemie Stewart, Henry Sunpath, Richard Murphy, Philip Winternheimer, Mashuda Ally, Gary Maartens

Abstract readObservational Study
In one paragraph

Observational study in BMC infectious diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

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  8. Factors associated with adherence to antiretroviral therapy in HIV-infected subjects and the use of indicators to characterize the treatment adhesion profile.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2023
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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

8 authors.

Richard CourtDepartment of Medicine, University of Cape Town, Cape Town, South Africa. richardcourt@mweb.co.za.
Rory LeisegangDivision of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa. rory.leisegang@gmail.com.
Annemie StewartDivision of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa. a.stewart@uct.ac.za.
Henry SunpathInfectious diseases unit, Nelson Mandela School of Medicine, University of Kwazulu-Natal, Durban, South Africa. henrysunpath@yebo.co.za.
Richard MurphyDepartment of Medicine, Albert Einstein College of Medicine, Bronx, New York, USA. ramurphy@gmail.com.
Philip WinternheimerSt. Vincent Hospital, University of Evansville, Indianapolis, Indiana, USA. plwinternheimer@gmail.com.
Mashuda AllyNelson Mandela School of Medicine, University of Kwazulu-Natal, Durban, South Africa. docma18@gmail.com.
Gary MaartensDivision of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa. gary.maartens@uct.ac.za.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost patients who experience virologic failure (VF) on second line antiretroviral therapy (ART) in low-middle income countries fail due to poor adherence rather than antiretroviral resistance. A simple adherence tool designed to detect VF would conserve resources by rationally limiting need for viral load (VL) testing and, in those countries with access to third line ART, the need for resistance testing.

methodsWe conducted an observational cohort study of patients who initiated second line ART at a clinic in Kwazulu-Natal, South Africa. Using clinical and pharmacy refill data extracted from the clinic's electronic database, we determined risk factors for VF. Three different methods of calculating short term pharmacy refill adherence were evaluated and compared with long term adherence since second line initiation. We also explored the ability of differing durations of short term pharmacy refill to predict VF on second line ART.

resultsWe included 274 patients with a median follow up of 27 months on second line ART. VF ranged between 3% and 16% within each six month interval after initiating second line ART. 243 patients with at least one VL after 4 months on second line were analysed in the statistical analysis. Pharmacy refill adherence assessed over shorter periods (4 to 6 months) predicted virologic suppression as well as pharmacy refill assessed over longer periods. The risk of VF fell 73% with each 10% increase in adherence measured from pharmacy refills over a 4 month period. Low CD4 count at second line ART initiation was a significant independent risk factor for VF.

conclusionPatients identified as poorly adherent by short term pharmacy refill are at risk for VF on second line ART. This pragmatic adherence tool could assist in identifying patients who require adherence interventions, and help rationalize use of VL monitoring and resistance testing among patients on second line ART.

Indexed as

Medication AdherenceAdultAmbulatory Care FacilitiesAnti-HIV AgentsCohort StudiesDrug Resistance, ViralFemaleHIV InfectionsHIV Protease InhibitorsHumansMaleRisk FactorsSouth AfricaTreatment FailureViral LoadAnti-HIV AgentsHIV Protease Inhibitors

Identifiers

PMID25472544
PMCPMC4266950

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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.