Evidence map›Paper›PMID 31095005›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2019

Brief Report: Short-Term Adherence Marker to PrEP Predicts Future Nonretention in a Large PrEP Demo Project: Implications for Point-of-Care Adherence Testing.

Matthew A Spinelli, David V Glidden, Peter L Anderson, Monica Gandhi, Stephanie Cohen, Eric Vittinghoff, Megan E Coleman, Hyman Scott, Oliver Bacon, Richard Elion and 3 more

Open access · greenAbstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 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

13 authors at 5 institutions in 1 country.

Matthew A SpinelliDivision of HIV, ID, and Global Medicine, University of California, San Francisco, CA.
David V GliddenDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA.
Peter L AndersonDepartment of Pharmaceutical Sciences, University of Colorado, Aurora, CO.
Monica GandhiDivision of HIV, ID, and Global Medicine, University of California, San Francisco, CA.
Stephanie CohenSan Francisco Department of Public Health, San Francisco, CA.
Eric VittinghoffDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA.
Megan E ColemanDepartment of Clinical Investigations, Whitman-Walker Health, Washington, DC.
Hyman ScottSan Francisco Department of Public Health, San Francisco, CA.
Oliver BaconSan Francisco Department of Public Health, San Francisco, CA.
Richard ElionDepartment of Clinical Investigations, Whitman-Walker Health, Washington, DC.
Michael A KolberDepartment of Medicine, University of Miami Miller School of Medicine, Miami, FA.
Susan P BuchbinderSan Francisco Department of Public Health, San Francisco, CA.
Albert Y LiuSan Francisco Department of Public Health, San Francisco, CA.
San Francisco Department of Public Health · USUniversity of California, San Francisco · USWhitman-Walker Health · USUniversity of California System · USUniversity of Colorado Anschutz Medical Campus · US

Funding

Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MALLORY O JOHNSON · 1988 to 2026
$93.6M
San Francisco Vaccine and Prevention UnitUM1AI069496 · NIAID · PUBLIC HEALTH FOUNDATION ENTERPRISES · PI Susan Buchbinder, Diane V Havlir · 2012 to 2026
$30.5M
Training in HIV Translational ResearchT32AI060530 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Diane V Havlir · 2005 to 2026
$6.4M
Plugging Hair ARV Levels as Adherence Biomarkers into HIV Prevention TrialsR01AI098472 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GANDHI, MONICA · 2012 to 2021
$5.6M
Randomized Trial to Optimize Virologic Suppression Rates Using a Point-of-Care Urine Monitoring Assay (ROVING-PUMA)R01AI143340 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Monica Gandhi · 2018 to 2026
$5.6M
University of Miami Pediatric Perinatal HIV/AIDS Clinical Trails UnitU01AI069451 · NIAID · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI SCOTT, GWENDOLYN BARBARA · 2007 to 2011
$5.5M
Cellular pharmacology of tenofovir and emtricitabine for HIV prophylaxisU01AI084735 · NIAID · UNIVERSITY OF COLORADO DENVER · PI ANDERSON, PETER L. · 2009 to 2012
$4.2M
“Hair Lengthening”: Using Hair Levels to Interpret Long-Acting PrEP Studies.R37AI098472 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Monica Gandhi · 2023 to 2026
$3.2M
PrEP and ART adherence monitoring using dried blood spotsU01AI106499 · NIAID · UNIVERSITY OF COLORADO DENVER · PI ANDERSON, PETER L. · 2013 to 2016
$2.9M
Comparison of Pharmacologic Markers of Exposure to HIV Pre-Exposure ProphylaxisR03AI122908 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GLIDDEN, DAVID V. · 2016 to 2017
$159k
Chemoprophylaxis for HIV Prevention: Analysis of Bone and Metabolic EffectsR03AI120819 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GLIDDEN, DAVID V. · 2015 to 2016
$158k
NIAID NIH HHS P30 AI027763NIAID NIH HHS R01 AI098472NIAID NIH HHS R01 AI143340NIAID NIH HHS R03 AI120819NIAID NIH HHS R03 AI122908NIAID NIH HHS R37 AI098472NIAID NIH HHS T32 AI060530NIAID NIH HHS U01 AI069451NIAID NIH HHS U01 AI084735NIAID NIH HHS U01 AI106499NIAID NIH HHS UM1 AI069496
6 · The paper itself

Abstract

backgroundObjective adherence metrics for tenofovir (TFV) disoproxil fumarate/emtricitabine (FTC)-based pre-exposure prophylaxis (PrEP) were critical for interpretation of efficacy in PrEP clinical trials, and there is increasing interest in using drug levels to tailor interventions for reengagement and adherence. Point-of-care immunoassays for TFV, which examine short-term adherence, are in development. However, the ability of poor short-term and long-term adherence to predict future PrEP nonretention is unknown.

settingSecondary data analysis of a large, prospective multi-site U.S. PrEP demonstration project.

methodsAn adjusted Cox-proportional hazards model examined the relationship of dried blood spot (DBS) levels of FTC-triphosphate (FTC-TP) or TFV-diphosphate (TFV-DP), measures of short-term and long-term PrEP adherence, respectively, with future study nonretention.

resultsOverall, 294 individuals (median age 33 years) contributed drug levels within the U.S. PrEP demonstration project. By the end of study, 27% were lost to follow-up, 25% had at least one undetectable FTC-TP level indicating poor short-term adherence, and 29% had a drug level indicating suboptimal long-term adherence (TFV-DP <700 fmol/punch). The strongest factor associated with future study nonretention using a binary drug-level cut-off was an undetectable DBS FTC-TP level (adjusted hazard ratio 6.3; 95% confidence interval 3.8 to 10.2). The suboptimal long-term adherence based on low DBS TFV-DP levels was also associated with nonretention (adjusted hazard ratio 4.3; 95% confidence interval: 2.4 to 7.6).

conclusionsBoth short- and long-term metrics of PrEP adherence are strongly associated with future loss to follow-up in a U.S. demonstration project study. Short-term metrics of adherence, once available at the point-of-care, could be used to direct real-time tailored retention and adherence interventions.

Indexed as

Medication AdherencePoint-of-Care TestingPre-Exposure ProphylaxisAdenineAdultAnti-HIV AgentsDried Blood Spot TestingEmtricitabineFemaleHIV InfectionsHomosexuality, MaleHumansMaleOrganophosphatesProportional Hazards ModelsProspective StudiesAdenineAnti-HIV AgentsEmtricitabineOrganophosphatesTenofovirtenofovir diphosphate

Identifiers

PMID31095005
PMCPMC6530484
OpenAlexW2921020926

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.