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Record W4403723162 · doi:10.1371/journal.pone.0308926

COMET (Composite Outcomes of Mesh vs suture Techniques for prolapse repair)- Protocol for a single blind randomized controlled multicenter trial testing surgical innovation in female pelvic surgery

2024· article· en· W4403723162 on OpenAlexafffundabout
Lina Roa, Maryse Larouche, Momoe Hyakutake, Erin A. Brennand, Ola Malabarey, Nicole Koenig, Terry Lee, Joel Singer, Wei Zhang, Lori A. Brotto, Roxana Geoffrion

Bibliographic record

VenuePLoS ONE · 2024
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsMcMaster UniversityUniversity of CalgaryUniversity of AlbertaMcGill UniversityUniversity of British Columbia
FundersCanadian Institutes of Health ResearchPfizer CanadaAbbVieMichael Smith Health Research BCPfizer
KeywordsMedicineRandomized controlled trialSurgeryVaginal Vault ProlapseQuality of life (healthcare)Fibrous jointSurgical meshVaginaNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Pelvic organ prolapse (POP) increases in incidence and severity with aging. At least 1 in 4 women seek pelvic floor care and many more suffer with concurrent symptoms of bowel, bladder and sexual dysfunction, which can have a large impact on quality of life. It is estimated that 1 in 5 women will undergo surgery for POP. POP is difficult to cure with existing surgeries and therefore treatment failure and reoperations are common. Surgical innovation in this area is urgently needed and we have developed a novel technique of bilateral sacrospinous vaginal vault fixation with synthetic mesh arms (BSSVF-M). Based on preliminary studies it may be more successful, durable and cost-effective than standard sacrospinous ligament suspension with sutures (SSLS). Preliminary development and exploration studies showed safety and efficacy of BSSVF-M. Following an established framework for research in surgical innovations, we now wish to conduct a randomized comparative effectiveness trial for assessment of this novel technique. METHODS: This is a multi-center randomized controlled trial in Canada comparing the surgical techniques of BSSVF-M vs. SSLS to address apical prolapse. In total, 358 women with symptomatic POP at five centers will be randomized with 80% power to detect a 15% difference in primary composite outcome and accounting for a 15% loss to follow-up over 2 years. The primary objective is to investigate BSSVF-M vs. SSLS using an established composite of 3 objective signs and 1 subjective symptom of POP measured 2 years postoperatively. Secondary objectives: 1) To determine changes in condition-specific pelvic symptoms, quality of life, pain and condition-specific body image post BSSVF-M vs. SSLS using validated questionnaires; 2) To determine changes in sexuality post BSSVF-M vs. SSLS; 3) To determine global impression of improvement, adverse events (validated classification scheme), reoperations and health utility post BSSVF-M vs. SSLS; 4) To determine the cost-effectiveness of BSSVF-M vs SSLS. Study Registration at clinicaltrials.gov (NCT02965313). DISCUSSION: There is a need for innovation to improve the surgical approach to vaginal apical suspension. Despite controversies with mesh, it has been shown to be safe when used appropriately and to have higher durability when compared with sutures. As well, the importance of restoring anatomy and tension-free surgical approach in pelvic reconstructive surgery has led to better long-term outcomes and fewer side effects. These principles have been applied when developing the novel BSSVF-M technique. Anticipated challenges of this trial include recruitment, compliance problems and loss to follow up However, the robust methodology will provide evidence on the best surgical approach to correct POP, a common condition among aging women.

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)0.035
metaresearch head score (Gemma)0.038
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: Protocol · Consensus signal: Protocol
Teacher disagreement score0.043
Threshold uncertainty score0.188

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0350.038
Meta-epidemiology (narrow)0.0070.002
Meta-epidemiology (broad)0.0120.006
Bibliometrics0.0030.002
Science and technology studies0.0030.005
Scholarly communication0.0040.004
Open science0.0040.003
Research integrity0.0090.010
Insufficient payload (model declined to judge)0.0430.008

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 head0.102
GPT teacher head0.351
Teacher spread0.249 · 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
GenreProtocol

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

Citations5
Published2024
Admission routes3
Has abstractyes

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