Evidence map›Paper›PMID 33128906›Full record

ReviewThe lancet. HIV2020

A Bayesian averted infection framework for PrEP trials with low numbers of HIV infections: application to the results of the DISCOVER trial.

David V Glidden, Oliver T Stirrup, David T Dunn

Abstract readReview
In one paragraph

Review in The lancet. HIV, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Sample size estimation for the averted events ratio.Clinical trials (London, England) · 2026
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Study design approaches for future active-controlled HIV prevention trials.Statistical communications in infectious diseases · 2024
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. 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

3 authors.

David V GliddenDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA. Electronic address: david.glidden@ucsf.edu.
Oliver T StirrupInstitute for Global Health, University College London, London, UK.
David T DunnMRC Clinical Trials Unit, University College London, London, UK.

Funding

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 MR_UU_12023/23NIAID NIH HHS R01 AI143357
6 · The paper itself

Abstract

Trials of candidate agents for HIV pre-exposure prophylaxis (PrEP) might randomly assign participants to be given a new PrEP agent or oral coformulated tenofovir disoproxil fumarate plus emtricitabine. This design presents unique challenges in interpretation. First, with two active arms, HIV incidence might be low. Second, the effectiveness of tenofovir disoproxil fumarate plus emtricitabine varies across populations; thus, similar HIV incidence between groups could be consistent with a wide range of effectiveness for the new PrEP. We propose a two-part approach to trial results. First, we use Bayesian methods to incorporate assumptions about the background incidence of HIV in the trial in the absence of PrEP, possibly augmented by external data. On the basis of the estimated background incidence, we estimate and compare the number of averted (or prevented) HIV infections in each of the two trial groups, calculating the averted infections ratio. We apply these methods to a completed trial of tenofovir alafenamide plus emtricitabine for PrEP. Our framework shows that leveraging external information to estimate averted infections and the averted infections ratio enhances the efficiency and interpretation of active-controlled PrEP trials.

Indexed as

Equivalence Trials as TopicAdenineAnti-HIV AgentsBayes TheoremEmtricitabineHIV InfectionsHumansOutcome Assessment, Health CarePre-Exposure ProphylaxisSample SizeTenofovirAdenineAnti-HIV AgentsEmtricitabineemtricitabine tenofovir alafenamideTenofovir

Identifiers

PMID33128906
PMCPMC7664988

What OpenQuestion holds

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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.