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Record W2974249817

Sexually Transmitted Infections on the Rise in PrEP Users.

2018· article· en· W2974249817 on OpenAlexaboutno aff
Pablo Barreiro

Bibliographic record

VenuePubMed · 2018
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsPre-exposure prophylaxisMedicineRisk compensationMen who have sex with menSerostatusEmtricitabineRisk perceptionCondomFamily medicineDemographyHuman immunodeficiency virus (HIV)GynecologyPsychologyPerceptionSyphilisViral loadAntiretroviral therapy
DOInot available

Abstract

fetched live from OpenAlex

Pre-exposure prophylaxis (PrEP) with oral Truvada (tenofovir plus emtricitabine) is effective at preventing HIV infection in high-risk homosexual men. In the United States, PrEP was approved in 2012 and is reimbursed by Medicaid and the majority of private insurers. The situation is diverse and not uniform in the European Union, being PrEP more widely used in France than in the rest of countries. Concerns have been raised that PrEP use may be accompanied by the phenomena of risk compensation or behavioral disinhibition, whereby PrEP users' perception of decreased risk of HIV acquisition may lead them to engage in overall riskier sexual practices and increase their chances of acquiring sexually transmitted infections (STIs) (Blumenthal, et al. Virtual Mentor. 2014;16:909-15). Modifiable factors that may influence the acquisition of STI include condom use, number of partners, partner characteristics, and healthcare-seeking behaviors. In addition, MSM may alter HIV risk mitigation practices while on PrEP by decreasing seroadaptive practices such as serosorting that is seeking a partner of similar perceived serostatus (Khosopour, et al. AIDS Behav. 2017;21:2935-44). High rates of STI have been reported among PrEP users, as well as high rates of condomless sex, and increasing rates of STI over time (Liu, et al. JAMA Intern Med. 2016;176:75-84; Kojima, et al. AIDS, 2016;30:2251-2). In a new study conducted in Montreal, Canada, increases in the rates of STI in PrEP users were demonstrated measuring incidence rates of STI before and following the initiation of PrEP in the same cohort. The authors measured the incidence of gonorrhea, chlamydia, and/or syphilis in 109 HIV-seronegative homosexual men 12 months before and 12 months after beginning Truvada for HIV prevention (Nguyen, et al. AIDS. 2018;32:523-30). New episodes of gonorrhea, chlamydia, and/or syphilis rose in the cohort after providing Truvada, as shown in Figure 1. Moreover, the incidence of three or more STI increased from 3.7 to 9.2 cases per 100 personyears in this cohort. The Canadian study highlighted that the rate of STI with PrEP was also higher than in a group of 86 homosexual men that had undergone PEP in Montreal during 2010-2015. Other findings of the study we the high rate of STI with anorectal location, symptomless STI (e.g., chlamydia) and the frequency of sex partners contacted by internet. The increased rates of STI in PrEP users suggest a need to reinforce counseling and STI diagnosis and treatment efforts. Although PrEP may provide a public health benefit beyond the immediate prevention of HIV infection as result of bringing into care high-risk homosexual men who might not otherwise be seeking care for STI, doctors in charge must take this opportunity for informing adequately on STI and the risks inherent to multiple and occasional sexual contacts.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0120.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.308
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations19
Published2018
Admission routes1
Has abstractyes

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