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Record W2416766694 · doi:10.1111/jog.13035

Long‐term patient satisfaction after retropubic and transobturator mid‐urethral slings for female stress urinary incontinence

2016· article· en· W2416766694 on OpenAlexaff
Ali A. Al‐Zahrani, Jerzy B. Gajewski

Bibliographic record

VenueJournal of obstetrics and gynaecology research · 2016
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineUrinary incontinenceUrologySling (weapon)Patient satisfactionStress incontinenceSurgery

Abstract

fetched live from OpenAlex

AIM: The aim of this study was to report long-term patient outcomes after retropubic and transobturator mid-urethral slings for female stress urinary incontinence. METHODS: Women who underwent mid-urethral sling for stress urinary incontinence between 2000 and 2010 were invited to participate in a survey regarding their overall improvement. Patients' outcomes were assessed using the International Consultation on Incontinence Questionnaire - Short Form and the Global Response Assessment Scale. RESULTS: The questionnaires were completed by 330 patients. Their median age at the time of surgery was 54.8 years (±12.9) and the median follow-up period was 11.9 years (±6.4). Retropubic and transobturator approaches were performed in 128 (38.8%) and 202 (61.2%) patients, respectively. The International Consultation on Incontinence Questionnaire - Short Form score dropped from an average of 14 (±4.1) to 6.4 (±6) with no significant difference between the two groups. The Global Response Assessment Scale showed an 9% greater improvement in the retropubic (66.4%) over the transobturator (57.4%) approach. De novo overactive bladder was the commonest long-term reported adverse event, affecting 18/330 patients (5.5%). Voiding dysfunction that required surgical correction following the retropubic approach occurred in three patients (2.3%). CONCLUSION: Mid-urethral slings for the management of female stress urinary incontinence had good and durable long-term effects. Although the retropubic approach gave better results, they were not significantly different than those of the transobturator approach.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.033
GPT teacher head0.329
Teacher spread0.296 · 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

Citations13
Published2016
Admission routes1
Has abstractyes

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