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P1-S6.54 Medical male circumcision may be protective of urogenital<i>Mycoplasma genitalium</i>infection: results from a randomised trial in Kisumu, Kenya

2011· article· en· W2315596767 on OpenAlexaff
Shailender Mehta, Charlotte A. Gaydos, Ian Maclean, Elijah Odoyo‐June, Stephen Moses, Ruth Murugu, Lawrence Agunda, Edith Nyagaya, N. Quinn, Robin L. Bailey

Bibliographic record

VenueSexually Transmitted Infections · 2011
Typearticle
Languageen
FieldMedicine
TopicGenital Health and Disease
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicineMycoplasma genitaliumGenitourinary systemMale circumcisionGynecologyMycoplasmaInternal medicineHealth servicesPopulationMicrobiologyChlamydia trachomatisEnvironmental healthBiology

Abstract

fetched live from OpenAlex

Background We determined the prevalence ofMycoplasma genitalium(MG) and whether this was associated with circumcision status, among men enrolled in the randomised trial of medical male circumcision (MMC) to prevent HIV acquisition in Kisumu, Kenya. Methods MG was detected in first void urine (FVU) by APTIMA transcription mediated amplification (TMA) assay. FVU and urethral swabs were assessed forNeissseria gonorrhoeae(NG) andChlamydia trachomatis(CT) by PCR, and forTrichomonas vaginalis(TV) by culture. HSV-2 detection was by IgG ELISA. Personal interview assessed socio-demographic and behavioural risks. All men underwent standardised medical history and physical examination. Results July through September 2010, 52 (9.9%; 95% CI: 7.3 to 12.4%) MG infections were detected among 526 men. The prevalence of NG (1.4%) and TV (2.7%) did not differ by MG status. CT prevalence was 5.8% among MG-infected men, and 0.8% among MG-uninfected men (p=0.02). CT infection at enrolment was more prevalent among MG infected men (27% vs 9% uninfected, p=0.005); NG and TV at enrolment were not associated with MG. Current urethral discharge symptoms and exam findings did not vary by MG status (1.9% positive vs 1.5% negative, p=0.80), but remote history of urethral discharge (past 6 months) was 5.8% among men with MG vs 2.1% uninfected (p=0.10). The prevalence of MG was 13.4% in uncircumcised men vs 8.2% in circumcised men (p=0.06). In multivariable logistic regression, circumcision status nearly halved the odds of MG [adjusted OR=0.54; 95% CI 0.29 to 0.99], adjusted for variables significant at the p<0.05 level: HSV-2 infection [aOR=2.05; 95% CI 1.05 to 4.00], CT infection at enrolment or at follow-up [aOR=2.69; 95% CI 1.44 to 5.02], washing the penis ≤1 h after sex [aOR=0.47; 95% CI 0.24 to 0.95]. The prevalence of MG did not differ by HIV status, age, education, marital status, number of sex partners, condom use, or sex during menses. There were no interactions with circumcision status. Conclusions Prospective study is needed to verify the potential protective association between MMC and MG. The mechanism by which MMC may protect against MG is unclear. Randomised trials have not found MMC to protect against other urethral infections (NG, CT, TV), though circumcised and uncircumcised men may have different peri-urethral bacteria and penile microbiome. The role of MG in STI morbidity, syndromic management algorithms and antibiotic regimens for men and women in this region should be evaluated.

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)0.002
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.038
GPT teacher head0.298
Teacher spread0.260 · 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 designRandomized trial
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".

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Citations0
Published2011
Admission routes1
Has abstractyes

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