Evidence map›Paper›PMID 38250627›Full record

ArticleStatistical communications in infectious diseases2024

Study design approaches for future active-controlled HIV prevention trials.

Deborah Donnell, Sheila Kansiime, David V Glidden, Alex Luedtke, Peter B Gilbert, Fei Gao, Holly Janes

Abstract read
In one paragraph

Article in Statistical communications in infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Sample size estimation for the averted events ratio.Clinical trials (London, England) · 2026
    Article
  5. Article
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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

7 authors.

Deborah DonnellFred Hutchinson Cancer Center, Seattle, WA, USA.ORCID https://orcid.org/0000-0002-0587-7480
Sheila KansiimeMedical Research Council/Uganda Virus Research Council and London School of Hygiene and Tropical Medicine, Uganda Research Unit, Entebbe, Uganda.
David V GliddenUniversity of California San Francisco, San Francisco, CA, USA.
Alex LuedtkeUniversity of Washington, Seattle, WA, USA.
Peter B GilbertFred Hutchinson Cancer Center, Seattle, WA, USA.
Fei GaoFred Hutchinson Cancer Center, Seattle, WA, USA.
Holly JanesFred Hutchinson Cancer Center, Seattle, WA, USA.

Funding

SDMC: HIV Vaccine Trials NetworkUM1AI068635 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Peter B. Gilbert, Yunda Huang · 2011 to 2026
$385.9M
SDMC: HPTN 084 Pregnancy SupplementUM1AI068617 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Elizabeth Renata Brown, Deborah J Donnell · 2011 to 2026
$204.9M
Leadership for HIV/AIDS Clinical Trials Networks; HIV Prevention Trials NetworkU01AI068617 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI DONNELL, DEBORAH J · 2006 to 2010
$28.8M
Statistical methods for clinical trials of novel PrEP agentsR01AI143357 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GLIDDEN, DAVID V. · 2018 to 2021
$483k
Medical Research Council MC_PC_20056Medical Research Council MC_UU_00004/03Medical Research Council MC_UU_00033/1NIAID NIH HHS R01 AI143357NIAID NIH HHS U01 AI068617NIAID NIH HHS UM1 AI068617NIAID NIH HHS UM1 AI068635
6 · The paper itself

Abstract

Objectives: Vigorous discussions are ongoing about future efficacy trial designs of candidate human immunodeficiency virus (HIV) prevention interventions. The study design challenges of HIV prevention interventions are considerable given rapid evolution of the prevention landscape and evidence of multiple modalities of highly effective products; future trials will likely be 'active-controlled', i.e., not include a placebo arm. Thus, novel design approaches are needed to accurately assess new interventions against these highly effective active controls. Methods: To discuss active control design challenges and identify solutions, an initial virtual workshop series was hosted and supported by the International AIDS Enterprise (October 2020-March 2021). Subsequent symposia discussions continue to advance these efforts. As the non-inferiority design is an important conceptual reference design for guiding active control trials, we adopt several of its principles in our proposed design approaches. Results: We discuss six potential study design approaches for formally evaluating absolute prevention efficacy given data from an active-controlled HIV prevention trial including using data from: 1) a registrational cohort, 2) recency assays, 3) an external trial placebo arm, 4) a biomarker of HIV incidence/exposure, 5) an anti-retroviral drug concentration as a mediator of prevention efficacy, and 6) immune biomarkers as a mediator of prevention efficacy. Conclusions: Our understanding of these proposed novel approaches to future trial designs remains incomplete and there are many future statistical research needs. Yet, each of these approaches, within the context of an active-controlled trial, have the potential to yield reliable evidence of efficacy for future biomedical interventions.

Indexed as

HIV preventionrandomized controlled trialsstatistical design

Identifiers

PMID38250627
PMCPMC10798828

What OpenQuestion holds

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Registered trials

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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.