Evidence map›Paper›PMID 26545264›Full record

ReviewCurrent opinion in HIV and AIDS2016

Statistical issues in trials of preexposure prophylaxis.

David T Dunn, David V Glidden

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in HIV and AIDS, 2016. 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
0.4field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
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

2 authors at 2 institutions in 2 countries.

David T DunnaMRC Clinical Trials Unit at UCL, London, UK bUniversity of California, San Francisco, California, USA.
David V Glidden
University College London · GBUniversity of California, San Francisco · US

Funding

Chemoprophylaxis for HIV Prevention: Analysis of Bone and Metabolic EffectsR03AI120819 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GLIDDEN, DAVID V. · 2015 to 2016
$158k
NIAID NIH HHS R03 AI120819
6 · The paper itself

Abstract

purpose of reviewWe discuss selected statistical issues in the design and analysis of preexposure prophylaxis (PrEP) trials. The general principles may inform thinking for other interventions in HIV prevention. RECENT

findingsTo date, four different designs have been used to determine the effectiveness of PrEP: randomized, double-blind, placebo-controlled; randomized, open-label, immediate or delayed access; nonrandomized comparison of HIV incidence according to the level of drug detected; comparison of the observed HIV incidence to the expected rate using historical control data. Open-label trials of PrEP, which assess public health effectiveness, complement the placebo-controlled trials which established the biological efficacy of TDF/FTC. Future trials of PrEP will be highly challenging to design since a no PrEP group is difficult to justify and the natural control regimen, TDF/FTC, is highly efficacious. SUMMARY: Standard statistical paradigms for noninferiority trials should be reconsidered for evaluating alternative PrEP regimens.

Indexed as

Administration, OralAnti-HIV AgentsBiostatisticsChemopreventionClinical Trials as TopicDisease Transmission, InfectiousDouble-Blind MethodHIV InfectionsHumansPlacebosPre-Exposure ProphylaxisAnti-HIV AgentsPlacebos

Identifiers

PMID26545264
PMCPMC4838412
OpenAlexW2408828409

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.