Evidence map›Paper›PMID 23302152›Full record

ArticleAmerican journal of epidemiology2013

Estimating the efficacy of preexposure prophylaxis for HIV prevention among participants with a threshold level of drug concentration.

James Y Dai, Peter B Gilbert, James P Hughes, Elizabeth R Brown

Abstract read
In one paragraph

Article in American journal of epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Modeling HIV vaccine trials of the future.Current opinion in HIV and AIDS · 2016
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Editorial: Global action to reduce HIV stigma and discrimination.Journal of the International AIDS Society · 2013
    Article
  15. Article
  16. 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

4 authors.

James Y DaiVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. jdai@fhcrc.org
Peter B Gilbert
James P Hughes
Elizabeth R Brown

Funding

SDMC: HIV Vaccine Trials NetworkUM1AI068635 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Peter B. Gilbert, Yunda Huang · 2011 to 2026
$385.9M
Statistical and Data Management Center (SDMC): Microbicide Trials NetworkUM1AI068615 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BROWN, ELIZABETH RENATA · 2011 to 2021
$66.5M
Leadership for HIV/AIDS Clinical Trials Networks; HIV Vaccine Trials NetworkU01AI068635 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI SELF, STEVEN G. · 2006 to 2010
$53.8M
Leadership for HIV/AIDS Clinical Trials Networks; Microbicide Trials NetworkU01AI068615 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI RICHARDSON, BARBRA A · 2006 to 2010
$20.4M
STATISTICAL ISSUES IN AIDS RESEARCHR37AI029168 · NIAID · UNIVERSITY OF WASHINGTON · PI JAMES P HUGHES · 1999 to 2026
$9.8M
Statistical Methods in HIV Vaccine Efficacy TrialsR37AI054165 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Peter B. Gilbert · 2010 to 2026
$6.7M
STATISTICAL ISSUES IN AIDS RESEARCHR01AI029168 · NIAID · UNIVERSITY OF WASHINGTON · PI HUGHES, JAMES P · 1989 to 2018
$5.3M
Statistical Methods in HIV/AIDS ResearchR01AI089341 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI CHEN, YING QING · 2010 to 2012
$1.3M
NIAID NIH HHS 2 R37 AI054165-12NIAID NIH HHS R01 AI029168NIAID NIH HHS R01 AI089341NIAID NIH HHS R37 AI029168NIAID NIH HHS R37 AI054165NIAID NIH HHS U01 AI068615NIAID NIH HHS UM1 AI068615NIAID NIH HHS UM1 AI068635
6 · The paper itself

Abstract

Assays for detecting levels of antiretroviral drugs in study participants are increasingly popular in preexposure prophylaxis (PrEP) trials, since they provide an objective measure of adherence. Current correlation analyses of drug concentration data are prone to bias. In this article, we formulate the causal estimand of prevention efficacy among drug compliers, those who would have had a threshold level of drug concentration had they been assigned to the drug arm of the trial. The identifiability of the causal estimand is facilitated by exploiting the exclusion restriction; that is, drug noncompliers do not acquire any prevention benefit. In addition, we develop an approach to sensitivity analysis that relaxes the exclusion restriction. Applications to published data from 2 PrEP trials, namely the Preexposure Prophylaxis Initiative (iPrEx) trial and the Centre for the AIDS Programme of Research in South Africa (CAPRISA) 004 trial, suggest high efficacy estimates among drug compliers (in the iPrEx trial, odds ratio = 0.097 (95% confidence interval: 0.027, 0.352); in the CAPRISA 004 trial, odds ratio = 0.104 (95% confidence interval: 0.024, 0.447)). In summary, the proposed inferential method provides an unbiased assessment of PrEP efficacy among drug compliers, thus adding to the primary intention-to-treat analysis and correlation analyses of drug concentration data.

Indexed as

Medication AdherenceAnti-Retroviral AgentsHIV InfectionsHumansModels, TheoreticalPreventive Health ServicesRandomized Controlled Trials as TopicReproducibility of ResultsSouth AfricaAnti-Retroviral Agents

Identifiers

PMID23302152
PMCPMC3577049

What OpenQuestion holds

Textmetadata
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.