Evidence map›Paper›PMID 38913630›Full record

ArticlePLOS global public health2024

Real-world performance of point-of-care vs. standard-of-care HIV viral load testing in western Kenya: Secondary analysis of Opt4Kids and Opt4Mamas studies.

Jessica H Giang, Garoma Basha, Katherine K Thomas, Patrick Oyaro, Bhavna H Chohan, Leonard Kingwara, Shukri A Hassan, Nashon Yongo, James Wagude, Fredrick Oluoch and 5 more

Abstract read
In one paragraph

Article in PLOS global public health, 2024. 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
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. 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

15 authors.

Jessica H GiangSchool of Medicine, University of Washington, Seattle, Washington, United States of America.ORCID https://orcid.org/0009-0006-9609-1470
Garoma BashaDepartment of Medicine, University of Washington, Seattle, Washington, United States of America.
Katherine K ThomasDepartment of Global Health, University of Washington, Seattle, Washington, United States of America.
Patrick OyaroHealth Innovations Kenya, Nairobi, Kenya.
Bhavna H ChohanDepartment of Global Health, University of Washington, Seattle, Washington, United States of America.
Leonard KingwaraNational HIV Reference Laboratory, Kenya Ministry of Health, Nairobi, Kenya.
Shukri A HassanDepartment of Medicine, University of Washington, Seattle, Washington, United States of America.
Nashon YongoUWKenya, Nairobi, Kenya.
James WagudeDepartment of Health, Siaya County, Kenya.
Fredrick OluochDepartment of Health, Kisumu County, Kenya.
Francesca OdhiamboFamily AIDS Care and Education Services, Kenya Medical Research Institute, Kisumu, Kenya.
Boaz OyaroKenya Medical Research Institute-CDC, Kisian, Kenya.ORCID https://orcid.org/0000-0003-2316-1985
Grace C John-StewartDepartment of Medicine, University of Washington, Seattle, Washington, United States of America.
Lisa L AbuogiDepartment of Pediatrics, University of Colorado, Denver, Colorado, United States of America.ORCID https://orcid.org/0000-0003-1492-5090
Rena C PatelDepartment of Medicine, University of Washington, Seattle, Washington, United States of America.ORCID https://orcid.org/0000-0001-9893-5856

Funding

Optimizing viral load suppression in Kenyan children on antiretroviral therapy (Opt4Kids)R34MH115769 · NIMH · UNIVERSITY OF WASHINGTON · PI ABUOGI, LISA LYNN, PATEL, RENA CHIMAN · 2018 to 2019
$698k
Optimizing viral suppression for pregnant and postpartum women living with HIV through HIV resistance testing (Opt4Mamasplus)R21AI145450 · NIAID · UNIVERSITY OF WASHINGTON · PI PATEL, RENA CHIMAN · 2019 to 2020
$453k
NIAID NIH HHS R21 AI145450NIMH NIH HHS R34 MH115769
6 · The paper itself

Abstract

Routine HIV viral load testing is important for evaluating HIV treatment outcomes, but conventional viral load testing has many barriers including expensive laboratory equipment and lengthy results return times to patients. A point-of-care viral load testing technology, such as GeneXpert HIV-1 quantification assay, could reduce these barriers by decreasing cost and turnaround time, however real-world performance is limited. We conducted a secondary analysis using 900 samples collected from participants in two studies to examine the performance of GeneXpert as point-of-care viral load compared to standard-of-care testing (which was conducted with two centralized laboratories using traditional HIV-1 RNA PCR quantification assays). The two studies, Opt4Kids (n = 704 participants) and Opt4Mamas (n = 820 participants), were conducted in western Kenya from 2019-2021 to evaluate the effectiveness of a combined intervention strategy, which included point-of-care viral load testing. Paired viral load results were compared using four different thresholds for virological non-suppression, namely ≥50, ≥200, ≥400, ≥1000 copies/ml. At a threshold of ≥1000 copies/mL, paired samples collected on the same day: demonstrated sensitivities of 90.0% (95% confidence interval [CI] 68.3, 98.8) and 66.7% (9.4, 99.2), specificities of 98.4% (95.5, 99.7) and 100% (96.5, 100), and percent agreements of 97.7% (94.6, 99.2) and 99.1% (95.0, 100) in Opt4Kids and Opt4Mamas studies, respectively. When lower viral load thresholds were used and the paired samples were collected an increasing number of days apart, sensitivity, specificity, and percent agreement generally decreased. While specificity and percent agreement were uniformly high, sensitivity was lower than expected. Non-specificity of the standard of care testing may have been responsible for the sensitivity values. Nonetheless, our results demonstrate that GeneXpert may be used reliably to monitor HIV treatment in low- and middle- income countries to attain UNAID's 95-95-95 HIV goals.

Identifiers

PMID38913630
PMCPMC11195974

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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.