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Record W3081345422 · doi:10.21037/tau-20-508

Single perineal incision for artificial urinary sphincter: analysis of technique, outcomes, and experience

2020· article· en· W3081345422 on OpenAlexaff
Nahid Punjani, Ernest Chan, Garson Chan, Haider Abed, Jeffrey Campbell, Gerald Brock

Bibliographic record

VenueTranslational Andrology and Urology · 2020
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsWestern University
FundersNew York Community Trust
KeywordsMedicineUrinary incontinenceSurgeryArtificial urinary sphincterRetrospective cohort studyComplicationUrinary systemSphincterCohortMedical recordUrethral sphincterCohort studyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: To describe a large series of male patients who underwent a minimally invasive single perineal incision artificial urinary sphincter (AUS) placement in patients with stress urinary incontinence. METHODS: A retrospective cohort study was performed with data collected from men undergoing AUS placement by a single high-volume surgeon over a 12-year period (2005 to 2017). Demographic and outcomes data related to AUS placement were recorded from electronic medical records, which included subjective histories and questionnaires. Institutional ethics approval was received. RESULTS: A total of 145 AUS were placed over the study period. Of these, 84 were performed through a single perineal incision for both device and reservoir placement. Almost all (n=81, 96%) reported pre-operative incontinence of more than 3 pads per day. Postoperatively, 75% were satisfied with their continence, with 21 (25%) complaining of recurrent incontinence. A total of 5 (6%) patients developed a post-operative infection, 10 (12%) had device erosion and 11 (13%) had device malfunction, but only 3 (4%) had reservoir dysfunction. A total of 24 (29%) patients required revision of their device at median of 20 months (IQR, 6-32.5 months). CONCLUSIONS: Single perineal incision is a feasible, safe, and potentially superior approach for AUS placement and warrants consideration as an accepted approach due to its more rapid surgical times, lower morbidity related to a single incision with minimal fascial defect, and favorable complication rates.

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)0.000
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 score0.016
Threshold uncertainty score0.335

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.034
GPT teacher head0.300
Teacher spread0.265 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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