Evidence map›Paper›PMID 40042432›Full record

ArticleStatistics in medicine2025

Active-Controlled Trial Design for HIV Prevention Trials With a Counterfactual Placebo.

Fei Gao, Holly Janes, Susan Buchbinder, Deborah Donnell

Abstract read
In one paragraph

Article in Statistics in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Dosing forgiveness of oral PrEP for cisgender women remains uncertain.Journal of the International AIDS Society · 2025
    Article
  4. 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

4 authors.

Fei GaoBiostatistics, Bioinformatics and Epidemiology Program, Fred Hutchinson Cancer Center, Seattle, Washington, USA.ORCID 0000-0001-6797-5468
Holly JanesBiostatistics, Bioinformatics and Epidemiology Program, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Susan BuchbinderDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA.
Deborah DonnellBiostatistics, Bioinformatics and Epidemiology Program, Fred Hutchinson Cancer Center, Seattle, Washington, USA.

Funding

SDMC: HPTN 084 Pregnancy SupplementUM1AI068617 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Elizabeth Renata Brown, Deborah J Donnell · 2011 to 2026
$204.9M
STATISTICAL ISSUES IN AIDS RESEARCHR37AI029168 · NIAID · UNIVERSITY OF WASHINGTON · PI JAMES P HUGHES · 1999 to 2026
$9.8M
High-Performance Compute Cluster for Comprehensive Cancer and Infectious Diseases ResearchS10OD028685 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRADLEY, PHILIP · 2020 to 2020
$2.0M
Statistical Methods for Advancing HIV PreventionR01AI177078 · NIAID · FRED HUTCHINSON CANCER CENTER · PI Fei Gao · 2023 to 2026
$1.7M
NIAID NIH HHS R01 AI177078NIAID NIH HHS R37 AI029168NIAID NIH HHS UM1 AI068617NIH HHS R01AI177078NIH HHS R37AI029168NIH HHS S10 OD028685NIH HHS S10OD028685NIH HHS UM1AI068617
6 · The paper itself

Abstract

In the quest for enhanced HIV prevention methods, the advent of antiretroviral drugs as pre-exposure prophylaxis (PrEP) has marked a significant stride forward. However, the ethical challenges in conducting placebo-controlled trials for new PrEP agents against a backdrop of highly effective existing PrEP options necessitate innovative approaches. This manuscript delves into the design and implementation of active-controlled trials that incorporate a counterfactual placebo estimate-a theoretical estimate of what HIV incidence would have been without effective prevention. We introduce a novel statistical framework for regulatory approval of new PrEP agents, predicated on the assumption of an available and consistent counterfactual placebo estimate. Our approach aims to assess the absolute efficacy (i.e., against placebo) of the new PrEP agent relative to the absolute efficacy of the active control. We propose a two-step procedure for hypothesis testing and further develop an approach that addresses potential biases inherent in non-randomized comparisons to counterfactual placebos. By exploring different scenarios with moderately and highly effective active controls and counterfactual placebo estimates from various sources, we demonstrate how our design can significantly reduce sample sizes compared to traditional non-inferiority trials and offer a robust framework for evaluating new PrEP agents. This work contributes to the methodological repertoire for HIV prevention trials and underscores the importance of adaptability in the face of ethical and practical challenges.

Indexed as

Controlled Clinical Trials as TopicHIV InfectionsPre-Exposure ProphylaxisResearch DesignAnti-HIV AgentsComputer SimulationHumansModels, StatisticalPlacebosSample SizeAnti-HIV AgentsPlacebosactive‐controlled trialscounterfactual placeboHIV preventionpre‐exposure prophylaxisrelative absolute efficacysample size calculation

Identifiers

PMID40042432
PMCPMC12758560

What OpenQuestion holds

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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.