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Record W4410137968 · doi:10.4293/jsls.2025.00019

Pelvic Organ Prolapse Mesh Graft Revision Surgery: Rates of Complication by Surgical Approach

2025· article· en· W4410137968 on OpenAlexaff
Mehr Jain, Jocelyn Stairs, Aisling A. Clancy

Bibliographic record

VenueJSLS Journal of the Society of Laparoscopic & Robotic Surgeons · 2025
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsUniversity of OttawaDalhousie UniversityOttawa Hospital
Fundersnot available
KeywordsMedicineSurgeryComplicationSurgical complicationSurgical meshGeneral surgeryHernia

Abstract

fetched live from OpenAlex

Objective: To determine complication rates after surgery for revision of pelvic organ prolapse mesh grafts, and to compare complication rates by surgical approaches. Methods: A retrospective, population-based cohort study was conducted using the American College of Surgeons National Quality Improvement Program database. Patients undergoing mesh revision by gynecology or urology were classified into vaginal, abdominal, or laparoscopic approaches. Patients having a revision of a midurethral sling were excluded. A multivariable logistic regression analysis was completed. The primary outcome was a composite of surgical complications excluding urinary tract infections. Severe Clavien-Dindo IV complications, rates of readmission, rates of reoperation and urinary tract infections were secondary outcomes. Results: = .052). Compared to a vaginal approach, the abdominal and laparoscopic groups had higher odds of complications (abdominal: adjusted odds ratio [OR] 2.70, 95% confidence interval [CI] 1.29-5.70; laparoscopic: adjusted OR 1.48, 95% CI 0.60-3.68). The abdominal and laparoscopic groups had higher odds of readmission compared to the vaginal group (abdominal: adjusted OR 2.36, 95% CI 0.81-6.90; laparoscopic: adjusted OR 4.12, 95% CI 1.49-11.40). Clavien-Dindo IV complications were rare and only seen after vaginal approach (0.4%, n = 6). Conclusion: Complications were least common after vaginal mesh graft revision surgery, as compared to an abdominal or laparoscopic approach. Serious complications were rare.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.175
Threshold uncertainty score0.687

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.297
Teacher spread0.276 · 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 teacher head, 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

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