Evidence map›Paper›PMID 30507962›Full record

SynthesisPloS one2018

Incidence of sexually transmitted infections in men who have sex with men and who are at substantial risk of HIV infection - A meta-analysis of data from trials and observational studies of HIV pre-exposure prophylaxis.

Ricardo Niklas Werner, Matthew Gaskins, Alexander Nast, Corinna Dressler

Erratum issuedOpen access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 55 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 5 pooled it
7.5field-weighted citation impact, top 2% 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

55 citing papers in PubMed, 5 syntheses or guidelines pooled it, 69 citations in OpenAlex.

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  14. Testing paradox may explain increased observed prevalence of bacterial STIs among MSM on HIV PrEP: A modeling study.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  15. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Ricardo Niklas WernerCharité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health; Department of Dermatology, Venerology and Allergy; Division of Evidence-Based Medicine (dEBM), Berlin, Germany.ORCID 0000-0003-3209-1392
Matthew GaskinsCharité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health; Department of Dermatology, Venerology and Allergy; Division of Evidence-Based Medicine (dEBM), Berlin, Germany.ORCID 0000-0001-6436-2703
Alexander NastCharité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health; Department of Dermatology, Venerology and Allergy; Division of Evidence-Based Medicine (dEBM), Berlin, Germany.
Corinna DresslerCharité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health; Department of Dermatology, Venerology and Allergy; Division of Evidence-Based Medicine (dEBM), Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMen who have sex with men (MSM) and who engage in condomless anal intercourse with casual partners are at high risk of acquiring sexually transmitted infections (STIs), but reliable epidemiological data are scarce. Studies on HIV pre-exposure prophylaxis (PrEP) enrol MSM who indicate that they engage in behaviour that puts them at high risk of acquiring HIV. Because they also screen for STIs at regular intervals, these studies may serve as a valuable source to estimate incidence rates of STIs in this subpopulation of MSM.

methodsWe systematically searched for trials and observational studies of PrEP in MSM that reported data on the incidence of STIs during the study period. Incidence rates were calculated as events per 100 person-years (py) with 95% confidence intervals (CI). Data from individual studies were pooled building subgroups along study types and geography. We performed sensitivity analyses, including data only from studies that met pre-defined quality criteria.

resultsTwenty-four publications on 20 studies were included. The majority of studies reported that sexual behaviour and/or STI incidence remained stable or decreased during the study period. For syphilis, incidence rates ranged from 1.8/100py to 14.9/100py, the pooled estimate was 9.1/100py (95%-CI: 7.7-10.9). Incidence rates for gonorrhoea and chlamydia of any site ranged from 13.3/100py to 43.0/100py and 15.1/100py to 48.5/100py, respectively. Considering only studies that met the criteria for sensitivity analysis yielded pooled estimates of 39.6/100py (95%-CI: 32.9-47.6) and 41.8/100py (95%-CI: 33.9-51.5), respectively. The overall estimate for hepatitis C incidence was 1.3/100py (95%-CI: 1.0-1.8).

conclusionsDespite partly heterogeneous results, the data depict high incidence rates of STIs among MSM who engage in higher-risk sexual behaviours such as condomless sex with casual partners. This subpopulation of MSM requires access to STI screening at close intervals. By offering access to structures that provide regular STI monitoring and prompt treatment, PrEP may not only decrease HIV incidence but also have beneficial effects in decreasing the burden of STIs.

Indexed as

Chlamydia InfectionsCondomsGonorrheaHepatitis CHIV InfectionsHumansIncidenceMaleMass ScreeningObservational Studies as TopicPre-Exposure ProphylaxisRandomized Controlled Trials as TopicSexual and Gender MinoritiesSyphilisUnsafe Sex

Identifiers

PMID30507962
PMCPMC6277101
OpenAlexW2902890377

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.