Evidence map›Paper›PMID 29424774›Full record

SynthesisAIDS (London, England)2018

In what circumstances could nondaily preexposure prophylaxis for HIV substantially reduce program costs?

Kate M Mitchell, Dobromir Dimitrov, James P Hughes, Fan Xia, Deborah Donnell, K Rivet Amico, Kevin Bokoch, Anupong Chitwarakorn, Linda-Gail Bekker, Timothy H Holtz and 3 more

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in AIDS (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 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 10 institutions in 4 countries.

Kate M MitchellDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK.
Dobromir DimitrovVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center.
James P HughesVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center.
Fan XiaDepartment of Biostatistics, University of Washington, Seattle.
Deborah DonnellVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center.
K Rivet AmicoUniversity of Michigan, School of Public Health, Department of Health Behavioral and Health Education, Ann Arbor, Michigan.
Kevin BokochFHI 360, Durham, North Carolina, USA.
Anupong ChitwarakornDepartment of Disease Control, Thailand Ministry of Public Health, Nonthaburi, Thailand.
Linda-Gail BekkerDesmond Tutu HIV Centre, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa.
Timothy H HoltzThailand Ministry of Public Health - US Centers for Disease Control and Prevention Collaboration, Nonthaburi, Thailand.
Sharon MannheimerMailman School of Public Health, Columbia University.
Robert M GrantGladstone Institutes, University of California, San Francisco, USA.
Marie-Claude BoilyDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK.
Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa · ZAImperial College London · GBUniversity of Washington · USColumbia University · USDepartment of Disease Control · THDesmond Tutu HIV Foundation · ZAFamily Health International 360 · USGladstone Institutes · USMinistry of Public Health · THUniversity of Michigan–Ann Arbor · US

Funding

LOC: HIV Prevention Trials NetworkUM1AI068619 · NIAID · FAMILY HEALTH INTERNATIONAL · PI Sinead Delany-Moretlwe, RAPHAEL J LANDOVITZ · 2011 to 2026
$779.5M
SDMC: HPTN 084 Pregnancy SupplementUM1AI068617 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Elizabeth Renata Brown, Deborah J Donnell · 2011 to 2026
$204.9M
LC: HIV Prevention Trials Network - Laboratory Support for the SARS-CoV-2 Seroprevalence Study (CoVPN 5002)UM1AI068613 · NIAID · JOHNS HOPKINS UNIVERSITY · PI SUSAN H ESHLEMAN, Mark A Marzinke · 2011 to 2026
$100.2M
Columbia Partnership for Prevention and Control of HIV/AIDS Clinical Trials UnitUM1AI069470 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAGDALENA ELZBIETA SOBIESZCZYK · 2012 to 2026
$44.8M
Chemoprophylaxis and HIV Host InteractionsR01AI118575 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANT, ROBERT M. · 2015 to 2019
$2.9M
NIAID NIH HHS R01 AI118575NIAID NIH HHS UM1 AI068613NIAID NIH HHS UM1 AI068617NIAID NIH HHS UM1 AI068619NIAID NIH HHS UM1 AI069470
6 · The paper itself

Abstract

objectivesTo review the main factors influencing the costs of nondaily oral preexposure prophylaxis (PrEP) with tenofovir (±emtricitabine). To estimate the cost reductions possible with nondaily PrEP compared with daily PrEP for different populations (MSM and heterosexual populations).

designSystematic review and data triangulation.

methodsWe estimated the required number of tablets/person/week for dosing regimens used in the HPTN 067/ADAPT (daily/time-driven/event-driven) and IPERGAY (on-demand) trials for different patterns of sexual intercourse. Using trial data, and behavioural and cost data obtained through systematic literature reviews, we estimated cost savings resulting from tablet reductions for nondaily versus daily oral PrEP, assuming 100% adherence.

resultsAmong different populations being prioritized for PrEP, the median reported number of days of sexual activity varied between 0 and 2 days/week (0-1.5 days/week for MSM, 1-2 days/week for heterosexual populations). With 100% adherence and two or fewer sex-days/week, HPTN 067/ADAPT nondaily regimens reduced the number of tablets/week by more than 40% compared with daily PrEP. PrEP program costs were reduced the most in settings with high drug costs, for example, by 66-69% with event-driven PrEP for French/US populations reporting on average one sex-day/week.

conclusionNondaily oral PrEP could lower costs substantially (>50%) compared with daily PrEP, particularly in high-income countries. Adherence and efficacy data are needed to determine cost-effectiveness.

Indexed as

Health Care CostsAdministration, OralAdolescentAdultAgedAnti-HIV AgentsDisease Transmission, InfectiousFemaleHIV InfectionsHumansMaleMiddle AgedPre-Exposure ProphylaxisPregnancyTenofovirYoung AdultAnti-HIV AgentsTenofovir

Identifiers

PMID29424774
PMCPMC5854532
OpenAlexW2791310425

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.