Evidence map›Paper›PMID 28489730›Full record

SynthesisJournal of acquired immune deficiency syndromes (1999)2017

Improved HIV-1 Viral Load Monitoring Capacity Using Pooled Testing With Marker-Assisted Deconvolution.

Tao Liu, Joseph W Hogan, Michael J Daniels, Mia Coetzer, Yizhen Xu, Gerald Bove, Allison K DeLong, Lauren Ledingham, Millicent Orido, Lameck Diero and 1 more

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of acquired immune deficiency syndromes (1999), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 43% 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

7 citing papers in PubMed, 10 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 4 institutions in 2 countries.

Tao Liu*Department of Biostatistics and Center for Statistical Sciences, Brown University School of Public Health, Providence, RI; †Academic Model Providing Access to Healthcare (AMPATH), Eldoret, Kenya; Departments of ‡Statistics and Data Sciences; §Integrative Biology, University of Texas at Austin, Austin, TX; ‖Division of Infectious Diseases, the Alpert Medical School of Brown University, Providence, RI; and ¶Department of Medicine, School of Medicine, College of Health Sciences, Moi University, Eldoret, Kenya.
Joseph W Hogan
Michael J Daniels
Mia Coetzer
Yizhen Xu
Gerald Bove
Allison K DeLong
Lauren Ledingham
Millicent Orido
Lameck Diero
Rami Kantor
Brown University · USAMPATH · KEMoi University · KEThe University of Texas at Austin · US

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
Science/Technical CoreP2CHD041020 · NICHD · BROWN UNIVERSITY · PI ZHENCHAO QIAN · 2016 to 2026
$7.6M
Optimizing HIV Treatment Monitoring under Resource ConstraintsR01AI108441 · NIAID · BROWN UNIVERSITY · PI HOGAN, JOSEPH W, KANTOR, RAMI · 2015 to 2019
$3.5M
NIAID NIH HHS P30 AI042853NIAID NIH HHS R01 AI108441NICHD NIH HHS P2C HD041020
6 · The paper itself

Abstract

objectiveImprove pooled viral load (VL) testing to increase HIV treatment monitoring capacity, particularly relevant for resource-limited settings.

designWe developed marker-assisted mini-pooling with algorithm (mMPA), a new VL pooling deconvolution strategy that uses information from low-cost, routinely collected clinical markers to determine an efficient order of sequential individual VL testing and dictates when the sequential testing can be stopped.

methodsWe simulated the use of pooled testing to ascertain virological failure status on 918 participants from 3 studies conducted at the Academic Model Providing Access to Healthcare in Eldoret, Kenya, and estimated the number of assays needed when using mMPA and other pooling methods. We also evaluated the impact of practical factors, such as specific markers used, prevalence of virological failure, pool size, VL measurement error, and assay detection cutoffs on mMPA, other pooling methods, and single testing.

resultsUsing CD4 count as a marker to assist deconvolution, mMPA significantly reduces the number of VL assays by 52% [confidence interval (CI): 48% to 57%], 40% (CI: 38% to 42%), and 19% (CI: 15% to 22%) compared with individual testing, simple mini-pooling, and mini-pooling with algorithm, respectively. mMPA has higher sensitivity and negative/positive predictive values than mini-pooling with algorithm, and comparable high specificity. Further improvement is achieved with additional clinical markers, such as age and time on therapy, with or without CD4 values. mMPA performance depends on prevalence of virological failure and pool size but is insensitive to VL measurement error and VL assay detection cutoffs.

conclusionsmMPA can substantially increase the capacity of VL monitoring.

Indexed as

Viral LoadAlgorithmsAnti-HIV AgentsCD4 Lymphocyte CountDrug Resistance, ViralHealth ResourcesHIV-1HIV InfectionsHumansKenyaModels, TheoreticalReproducibility of ResultsAnti-HIV Agents

Identifiers

PMID28489730
PMCPMC5503773
OpenAlexW2612247085

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.