Evidence map›Paper›PMID 39813294›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2025

A Cross-Biomeasure Study to Optimize Antiretroviral Adherence Estimation.

Aaron S Devanathan, Amanda J Poliseno, Nicole R White, Amanda P Schauer, Craig Sykes, Ann Marie K Weideman, Kayla W Kilpatrick, Michael G Hudgens, Cynthia L Gay, Elias P Rosen and 3 more

Abstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

13 authors.

Aaron S DevanathanUniversity of Pittsburgh School of Pharmacy, Pittsburgh, PA.ORCID 0000-0002-2778-3725
Amanda J PolisenoUniversity of North Carolina Eshelman School of Pharmacy, Chapel Hill, NC.ORCID 0009-0006-0150-0500
Nicole R WhiteUniversity of North Carolina Eshelman School of Pharmacy, Chapel Hill, NC.
Amanda P SchauerUniversity of North Carolina Eshelman School of Pharmacy, Chapel Hill, NC.ORCID 0000-0002-7026-7224
Craig SykesUniversity of North Carolina Eshelman School of Pharmacy, Chapel Hill, NC.
Ann Marie K WeidemanBiostatistics Core, Center for AIDS Research, University of North Carolina at Chapel Hill, Chapel Hill, NC.ORCID 0000-0002-1653-9102
Kayla W KilpatrickUniversity of North Carolina School of Medicine, Chapel Hill, NC; and.ORCID 0000-0002-8678-9000
Michael G HudgensBiostatistics Core, Center for AIDS Research, University of North Carolina at Chapel Hill, Chapel Hill, NC.ORCID 0000-0002-9106-4194
Cynthia L GayUniversity of North Carolina School of Medicine, Chapel Hill, NC; and.ORCID 0000-0002-3620-3059
Elias P RosenUniversity of North Carolina Eshelman School of Pharmacy, Chapel Hill, NC.ORCID 0000-0001-5531-7281
Julie B DumondUniversity of North Carolina Eshelman School of Pharmacy, Chapel Hill, NC.ORCID 0000-0002-3500-5819
Angela D M KashubaUniversity of North Carolina Eshelman School of Pharmacy, Chapel Hill, NC.
Mackenzie L CottrellUniversity of North Carolina Eshelman School of Pharmacy, Chapel Hill, NC.ORCID 0000-0002-0291-5111

Funding

Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
North Carolina Translational and Clinical Sciences Institute (NC TraCS)UM1TR004406 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NICHOLAS J SHAHEEN · 2023 to 2026
$37.5M
Novel Mass Spectrometry Imaging Methods to Quantify Antiretroviral AdherenceR01AI122319 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KASHUBA, ANGELA D, ROSEN, ELIAS · 2016 to 2021
$5.3M
Multiomics and Antiretroviral Drug Exposure for assessing Metabolic Effects (MADE-FOR-ME)DP1HL174180 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Aaron Sriram Devanathan · 2024 to 2026
$1.6M
National Institute of Allergy and Infectious Diseases P30AI50410National Institute of Allergy and Infectious Diseases R01AI122319NCATS NIH HHS UM1 TR004406NCATS NIH HHS UM1TR004406NHLBI NIH HHS DP1 HL174180NHLBI NIH HHS DP1HL174180NIAID NIH HHS P30 AI050410NIAID NIH HHS R01 AI122319
6 · The paper itself

Abstract

backgroundIncomplete adherence to daily tenofovir disoproxil fumarate/emtricitabine (TDF/FTC) reduces effectiveness. Adherence biomeasures (ie, drug concentrations in biological specimen) are more accurate than self-report. TDF/FTC's intracellular active metabolites (tenofovir-diphosphate; TFVdp and FTC-triphosphate; FTCtp) can be quantified in different types of blood samples to estimate adherence. To optimize adherence estimation, we investigated approaches to measure TFVdp and FTCtp in 4 blood matrices.

methodsTwelve HIV-negative, healthy volunteers were enrolled in a single-center, open-label, 3-phase, directly observed therapy study. LC-MS/MS methods quantified TFVdp/FTCtp in dried blood spots, volumetrically accurate microsampling, upper layer packed cells, and peripheral blood mononuclear cells (PBMCs). Noncompartmental analysis estimated half-lives and accumulation ratios. Correlations characterized relationships between clinical variables and exposure. Regression models were fit to determine concentrations associated with <4 and ≥4 doses/week; correct classification percentages were determined.

resultsTerminal half-life estimates of 3-4 vs 15-22 days distinguished between moderate-term (FTCtp in all samples; TFVdp in PBMCs) versus long-term (TFVdp in red blood cell-containing matrices) measures. Model-derived thresholds accurately categorized <4 and ≥4 doses/week when including both metabolites for 14- and 28-day dosing periods (81%-91% and 82%-85%, respectively). Within each classification and regression trees analyses containing both moderate- and long-term measures, dried blood spots exhibited highest accuracy to predict stable (74%-94%) and changing (42%-47%) adherence patterns.

conclusionsWe demonstrate higher accuracy of moderate-term biomeasures to classify adherence over a 14-day period compared with long-term biomeasures to classify adherence over a 28-day period. Combined moderate- and long-term biomeasures predicted stable and changing adherence patterns, with dried blood spots exhibiting highest accuracy.

Indexed as

Anti-HIV AgentsHIV InfectionsMedication AdherenceAdenineAdultChromatography, LiquidEmtricitabineFemaleHumansLeukocytes, MononuclearMaleMiddle AgedOrganophosphatesTandem Mass SpectrometryTenofovirYoung AdultAdenineAnti-HIV AgentsEmtricitabineOrganophosphatesTenofovirtenofovir diphosphate

Identifiers

PMID39813294
PMCPMC12351550

What OpenQuestion holds

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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.