Epidemiology of sexually transmitted human papillomavirus infection in young females and their sequential male partners
Notice bibliographique
Résumé
Background: The etiologic role of human papillomavirus (HPV) infections in cervical cancer is well established.Secondary cervical cancer prevention requires a detailed understanding of vaginal HPV infection natural history.Characterizing HPV transmission from previous sexual relationships to subsequent sex partners may have implications for primary HPV-related cancer prevention.Objectives: Manuscript 1 examines detection and clearance rates for vaginal HPV infections among females in new heterosexual relationships.Manuscript 2 characterizes type-specific HPV positivity between sequential male partners of the same female.Methods: Genital HPV genotyping and sexual behaviour data were collected on recently-paired Montréal couples in the HPV Infection and Transmission among Couples through Heterosexual activity (HITCH) prospective cohort study.Females provided vaginal samples at 0-, 4-, 8-, 12-, 18-and 24-months, while males provided scrotal and penile samples at 0-and 4-months.Data from 501 women (aged 18-24) were analyzed in Manuscript 1; time-to-event statistics for detection and clearance of HPV infections were calculated at the woman-and HPV-levels using Kaplan-Meier analysis and rates.Data from 42 female-linked sequential partnerships (42 male 1-42 female-42 male 2) were used in Manuscript 2; 1,512 detectable HPV infections were analyzed.Observed/expected ratios for infection concordance between males 1 and 2 were calculated.Using mixed-effects regression, odds ratios (ORs) for male 2 testing positive for the same HPV type as male 1 were estimated.95% confidence intervals are provided in parentheses.Analyses were performed for any HPV type and by subgenera of the Alphapapillomavirus genus.Subgenus 1 includes low oncogenic risk HPV types, subgenus 2 high oncogenic risk types, and subgenus 3 commensal types. II Results:In Manuscript 1, by 24 months, one or more incident HPV infections were detected in 40.4% (33.4-48.4) of women.Incident subgenera 1, 2 and 3 infections cleared at comparable rates per 1000 infection-months: 43.4 (33.6-56.4),47.1 (39.9-55.5)and 46.6 (37.7-57.7),respectively.In Manuscript 2, detection of the same HPV type in males 1 and 2 occurred 2.6 (1.9-3.5)times more often than chance.The OR for male 2 positivity was 4.2 (2.5-7.0).Adjusting for the number of times the linking female partner tested positive for the same HPV type attenuated the relationship between male 1 and 2 positivity.Discussion: In Manuscript 1, HPV-level analyses did not clearly indicate that oncogenic subgenus 2 infections take longer to clear than low oncogenic-risk subgenera 1 and 3 infections.In Manuscript 2, type-specific HPV positivity in males 1 and 2 was not independent.OR estimates suggested mediation by the number of times the female tested positive; infections were likely transmitted to male 2 via the female.Conclusions: Type-specific estimates of HPV infection natural history can provide biologically informed parameters for cervical screening.HPV positivity in male 1-female partnerships predicted positivity in male 2 when the linking female partner was persistently positive.Vaccinating males may therefore prevent HPV infection in unvaccinated ordinal sexual connections.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».