Study design approaches for future active-controlled HIV prevention trials.
HIV prevention
randomized controlled trials
statistical design
Journal
Statistical communications in infectious diseases
ISSN: 2194-6310
Titre abrégé: Stat Commun Infect Dis
Pays: United States
ID NLM: 101529978
Informations de publication
Date de publication:
Jan 2024
Jan 2024
Historique:
received:
13
07
2023
accepted:
30
12
2023
medline:
22
1
2024
pubmed:
22
1
2024
entrez:
22
1
2024
Statut:
epublish
Résumé
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. 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. 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. 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.
Identifiants
pubmed: 38250627
doi: 10.1515/scid-2023-0002
pii: scid-2023-0002
pmc: PMC10798828
doi:
Types de publication
Journal Article
Langues
eng
Pagination
20230002Informations de copyright
© 2024 Walter de Gruyter GmbH, Berlin/Boston.
Déclaration de conflit d'intérêts
Competing interests: The authors state no conflict of interest.