Evidence map›Paper›PMID 36275867›Full record

ArticleOpen forum infectious diseases2022

Routine Antiretroviral Pharmacy Refill Information Can Predict Failure Postpartum in Previously Suppressed South African Women With HIV.

Nicola Gawler, Steven J Reynolds, Nei-Yuan Hsiao, William Clarke, Gary Maartens, Elaine J Abrams, Landon Myer, Andrew D Redd, Tamsin K Phillips

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2022. 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 86% 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

9 authors at 5 institutions in 3 countries.

Nicola GawlerDivision of Epidemiology & Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa.
Steven J ReynoldsDepartment of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Nei-Yuan HsiaoDivision of Medical Virology, University of Cape Town and National Health Laboratory Service, Cape Town, South Africa.
William ClarkeDepartment of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Gary MaartensDivision of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0003-3080-6606
Elaine J AbramsICAP at Columbia University, Mailman School of Public Health, and Department of Paediatrics, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA.
Landon MyerDivision of Epidemiology & Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa.
Andrew D ReddDepartment of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Tamsin K PhillipsDivision of Epidemiology & Biostatistics, School of Public Health, University of Cape Town, Cape Town, South Africa.
University of Cape Town · ZANational Institute on Drug Abuse · USColumbia University · USJohns Hopkins University · USNational Health Laboratory Service · ZA

Funding

Vanderbilt-Emory-Cornell-Duke Global Health Fellowship Consortium-Expanding Diversity for Global Equity (EDGE)D43TW009337 · FIC · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ALIYU, MUKTAR HASSAN, HEIMBURGER, DOUGLAS CORBETT · 2017 to 2021
$6.3M
Zikhethele - choose for you: evaluating choice-based antiretroviral therapy support for patients returning to HIV care after treatment interruption in South AfricaK43TW011943 · FIC · UNIVERSITY OF CAPE TOWN · PI PHILLIPS, TAMSIN KATE · 2021 to 2025
$598k
FIC NIH HHS D43 TW009337FIC NIH HHS K43 TW011943
6 · The paper itself

Abstract

Background: Detection of antiretrovirals (ARVs) in biological specimens is a reliable, objective way to measure adherence. However, routine ARV testing is not feasible in many high-burden settings. This study explored if pharmacy data could accurately predict HIV viremia postpartum in previously virally suppressed women. Methods: South African women with HIV who initiated antiretroviral therapy (ART) during pregnancy and achieved viral suppression (VS; viral load [VL]≤50 copies/mL) were followed postpartum; during follow-up, plasma VL was measured and ARV adherence self-reported. A portion of samples were tested for the presence of ARV using mass spectrometry. Patient-level routine pharmacy data were used to classify if women should have the drug in hand for the past 7 days before the visit date. Logistic regressions were used to calculate associations between adherence and viral nonsuppression (VNS; VL > 50) or failure (VF; VL > 1000) at the first study visit of women who had ARV measured. Data for all women were examined for associations of self-reported adherence and drug in hand with VS and VF at 2, 6, and 12 months postpartum. Results: Women with no ARV detected were significantly more likely to have VNS (odds ratio [OR], 26.4). Having no drug in hand for 7 days was also predictive of VNS in these same women (OR, 7.0) and the full cohort (n = 572) at 3 (OR, 2.9), 6 (OR, 8.7), and 12 months (OR, 14.5). Similar results were seen for VF. Conclusions: These data show that routine pharmacy data can act as a highly predictive mechanism for identifying patients at risk of VNS and VF due to nonadherence.

Indexed as

adherenceARVHIVpharmacySouth Africa

Identifiers

PMID36275867
PMCPMC9578152
OpenAlexW4296780087

What OpenQuestion holds

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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.