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Record W4403524497 · doi:10.1016/j.ajog.2024.10.021

Hysterectomy versus uterine preservation for pelvic organ prolapse surgery: a prospective cohort study

2024· article· en· W4403524497 on OpenAlexafffund
Erin A. Brennand, Natalie V. Scime, B Huang, Allison D Edwards, Shunaha Kim-Fine, Jena Hall, Colin Birch, Magali Robert, Alison Carter Ramirez

Bibliographic record

VenueAmerican Journal of Obstetrics and Gynecology · 2024
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsUniversity of Alberta HospitalThe Scarborough HospitalUniversity of TorontoUniversity of AlbertaUniversity of CalgaryAlberta Health Services
FundersCanadian Institutes of Health ResearchUniversity of TorontoUniversity of Toronto ScarboroughPatty Brisben Foundation for Women’s Sexual HealthSocial Sciences and Humanities Research Council of CanadaUniversity of AlbertaM.S.I. FoundationAlberta Health Services
KeywordsMedicineHysterectomyProspective cohort studyUterine prolapseCohortGynecologyCohort studySurgeryObstetricsInternal medicine

Abstract

fetched live from OpenAlex

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.

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)0.003
metaresearch head score (Gemma)0.006
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 score0.003
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.308
Teacher spread0.288 · 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

Citations11
Published2024
Admission routes2
Has abstractyes

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