Evidence map›Paper›PMID 24498350›Full record

SynthesisPloS one2014

Pre-exposure prophylaxis for the prevention of HIV infection in high risk populations: a meta-analysis of randomized controlled trials.

Junjun Jiang, Xiaoyi Yang, Li Ye, Bo Zhou, Chuanyi Ning, Jiegang Huang, Bingyu Liang, Xiaoni Zhong, Ailong Huang, Renchuan Tao and 3 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
5.6field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 85 citations in OpenAlex.

  1. Pooled it
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  11. The role of machine learning in HIV risk prediction.Frontiers in reproductive health · 2022
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  19. What motivates gay and bisexual men to participate in PrEP-related research?International journal of sexual health : official journal of the World Association for Sexual Health · 2019
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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

13 authors at 3 institutions in 1 country.

Junjun JiangGuangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, Guangxi, China ; School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
Xiaoyi YangGuangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, Guangxi, China ; School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
Li YeGuangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, Guangxi, China ; School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
Bo ZhouGuangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, Guangxi, China.
Chuanyi NingGuangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, Guangxi, China ; School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
Jiegang HuangGuangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, Guangxi, China ; School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
Bingyu LiangGuangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, Guangxi, China ; School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
Xiaoni ZhongSchool of Public Health, Chongqing Medical University, Chongqing, China.
Ailong HuangSchool of Public Health, Chongqing Medical University, Chongqing, China.
Renchuan TaoGuangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, Guangxi, China.
Cunwei CaoGuangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, Guangxi, China.
Hui ChenGeriatrics Digestion Department of Internal Medicine, The First Affiliated Hospital of GuangXi Medical University, Nanning, Guangxi, China.
Hao LiangGuangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, Guangxi, China ; School of Public Health, Guangxi Medical University, Nanning, Guangxi, China.
Guangxi Medical University · CNChongqing Medical University · CNFirst Affiliated Hospital of GuangXi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNearly ten randomized controlled trials (RCTs) of pre-exposure prophylaxis (PrEP) have been completed or are ongoing worldwide to evaluate the effectiveness of PrEP in HIV transmission among HIV-uninfected high risk populations. The purpose of this study was to evaluate the role of PrEP to prevent HIV transmission through a Mata-analysis.

methodsA comprehensive computerized literature search was carried out in PubMed, EMbase, Ovid, Web of Science, Science Direct, Wan Fang, CNKI and related websites to collect relevant articles (from their establishment date to August 30, 2013). The search terms were "pre-exposure prophylaxis", "high risk population", "HIV infection", "reduction", "relative risk" and "efficacy". We included any RCT assessing PrEP for the prevention of HIV infection in high risk populations. Interventions of the studies were continuously daily or intermittent doses of single or compound antiretrovirals (ARVs) before HIV exposure or during HIV exposure. A meta-analysis was conducted using Stata 10.0. A random-effects method was used to calculate the pooled relative risk (RR) and 95% confidence intervals (CI) for all studies included.

resultsSeven RCTs involving 14,804 individuals in high risk populations were eligible for this study. The number of subjects in the experimental groups was 8,195, with HIV infection rate of 2.03%. The number of subjects in the control groups was 6,609, with HIV infection rate of 4.07%. The pooled RR was 0.53 (95% CI = 0.40 ∼ 0.71, P<0.001). The re-analyzed pooled RR were 0.61 (95% CI = 0.48 ∼ 0.77, P<0.001), 0.49 (95% CI = 0.38 ∼ 0.63, P<0.001), respectively, by excluding the largest study or two studies without statistical significance. Publication bias analysis revealed a symmetry funnel plot. The fail-safe number was 1,022.

conclusionThese results show that PrEP is an effective strategy for reducing new HIV infections in high risk populations.

Indexed as

Anti-HIV AgentsHIV InfectionsHumansOutcome Assessment, Health CarePreventive MedicineRandomized Controlled Trials as TopicRisk FactorsAnti-HIV Agents

Identifiers

PMID24498350
PMCPMC3912017
OpenAlexW2061231131

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.