Hysterectomy versus uterine preservation for pelvic organ prolapse surgery: a prospective cohort study
Notice bibliographique
Résumé
BACKGROUND: One in 5 females will have surgery to treat pelvic organ prolapse in their lifetime. Uterine-preserving surgery involving suspension of the uterus is an increasingly popular alternative to the traditional use of hysterectomy with vaginal vault suspension to treat pelvic organ prolapse; however, comparative evidence with native tissue repairs remains limited in scope and quality. OBJECTIVE: To compare 1-year outcomes between hysterectomy-based and uterine-preserving native tissue prolapse surgeries performed through minimally invasive approaches. STUDY DESIGN: We used a nonrandomized design with patients self-selecting their surgical group to integrate a pragmatic, patient-centered, and autonomy-focused approach. Participants chose between uterine-preserving surgery or hysterectomy-based surgery, guided by neutral evidence-based discussions and individualized decision-making, with support from fellowship-trained urogynecologists. Inverse probability of treatment weighting based on high-dimensional propensity scores was used to balance baseline differences across surgical groups in an effort to resemble a randomized clinical trial. A prospective cohort study of 321 participants with stage ≥2 prolapse involving the uterus who desired surgical treatment were recruited between 2020 and 2022 and followed to 1 year (retention >90%). Patients chose to receive uterine-preserving pelvic organ prolapse surgery through hysteropexy (n=151) or hysterectomy with vaginal vault suspension (n=170; reference group), with repair of anterior and/or posterior prolapse if indicated. The primary outcome was anatomic prolapse recurrence within 1 year, defined as apical descent ≥50% of the total vaginal length. Secondary outcomes were perioperative, functional, clinical, and healthcare outcomes measured at 6 weeks and 1 year. Inverse probability of treatment weighted linear regression and modified Poisson regression were used to estimate adjusted mean differences and relative risks, respectively. RESULTS: Apical anatomic recurrence rates at 1 year were 17.2% following hysterectomy and 7.5% following uterine-preservation, resulting in an adjusted relative risk of 0.35 (95% CI 0.15, 0.83). Uterine-preserving surgery was associated with shorter length of surgery (adjusted mean difference -0.68 hours [-0.80, -0.55]) and hospitalization (adjusted mean difference -4.34 hours [-7.91, -0.77]), less use of any opioids within 24 hours (adjusted relative risk 0.79 [0.65, 0.97]), and fewer procedural complications (adjusted relative risk 0.19 [0.04, 0.83]) than hysterectomy. Up to 1 year, uterine-preserving surgery was associated with lower risk of composite recurrence (stage ≥2 prolapse in any compartment or retreatment; adjusted relative risk 0.47 [0.32, 0.69]) than hysterectomy, driven by anatomic outcomes. There were no clinically meaningful differences in functional or healthcare outcomes between surgical groups. CONCLUSION: This study adds real-world evidence to the growing body of research supportive of uterine-preserving surgery as a safe, efficient, and effective alternative to hysterectomy during native tissue prolapse repair. Given mounting evidence on safety, efficiency, and effectiveness of uterine-preserving surgery and its alignment with the preferences of approximately half of patients to keep their uterus, the standard of care should include routine offering and patient choice between uterine-preserving and hysterectomy-based surgery for pelvic organ prolapse.
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 | 0,003 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».