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Record W2078961280 · doi:10.1097/mou.0b013e3282f10a2b

The use of biological and synthetic materials in vaginal surgery for prolapse

2007· review· en· W2078961280 on OpenAlexaff
Sender Herschorn

Bibliographic record

VenueCurrent Opinion in Urology · 2007
Typereview
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsSunnybrook Health Science CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineCadaveric spasmRandomized controlled trialSurgeryFasciaUterine prolapseNative tissue

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: This article reviews the currently available biological and synthetic graft materials available for pelvic prolapse. It also focuses on recent publications examining their use in transvaginal prolapse surgery. RECENT FINDINGS: There continue to be many case series investigating the treatment of anterior prolapse, however there are still very few publications examining new techniques involving apical fixation with large anterior/posterior meshes. Of note are three randomized studies that have recently been reported--two with anterior prolapse, one showing a lack of significant benefit of cadaveric fascia, one demonstrating the benefit of porcine dermis, and one with posterior prolapse demonstrating a lack of benefit of porcine SIS. SUMMARY: Despite the paucity of randomized control trials of various graft materials used in transvaginal prolapse surgery, the many case series published to date generally show relative safety and efficacy. There is still a need for more randomized controlled trials, however, to guide therapy and for well designed case series with longer follow up, especially regarding new techniques involving large anterior/posterior meshes.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.992
Threshold uncertainty score0.636

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
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 head0.316
GPT teacher head0.434
Teacher spread0.118 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations9
Published2007
Admission routes1
Has abstractyes

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