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Record W2807125011 · doi:10.1111/luts.12227

Short‐term evaluation of the adjustable bulbourethral male sling for post‐prostatectomy urinary incontinence

2018· article· en· W2807125011 on OpenAlexaff
Samer Shamout, Yu Qing Huang, Hani Kabbara, Jacques Corcos, Lysanne Campeau

Bibliographic record

VenueLUTS Lower Urinary Tract Symptoms · 2018
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsMcGill UniversityStatistics CanadaJewish General Hospital
Fundersnot available
KeywordsUrologyUrinary incontinenceMedicineSling (weapon)ProstatectomyTerm (time)SurgeryInternal medicineProstatePhysics

Abstract

fetched live from OpenAlex

OBJECTIVE: The Argus perineal sling is a minimally invasive surgical option to treat post-prostatectomy stress urinary incontinence (PPSUI). This study retrospectively evaluated the short-term clinical outcomes with the Argus sling for PPSUI management and determined the effects of potential preoperative parameters on intraoperative retrograde leak point pressure (RLPP). METHODS: In this retrospective review of 16 men with various degrees of stress incontinence after prostatic surgery who underwent Argus sling, PPSUI was evaluated by pad usage, urodynamics, 24-hour pad weight, and validated questionnaires. Findings before and a minimum of 6 months after sling placement were compared. "Cure" was defined as no pad usage or the use of 1 pad for security; "improvement" was defined as a reduction in daily pad use by >50%. RESULTS: O. During follow-up, 44% of men had transient perineal or scrotal pain managed conservatively. Sling explantation, reported in 3 of 16 patients, was associated with urethral erosion or previous radiation therapy. CONCLUSION: The Argus male sling can lead to satisfactory results in carefully selected patients. Increased stress urinary incontinence severity based on 24-hour pad weight required higher RLPP to achieve continence. Favorable satisfaction variables and quality of life scores are affected by appropriate intraoperative tensioning pressure.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.021
GPT teacher head0.304
Teacher spread0.283 · 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.

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

Citations2
Published2018
Admission routes1
Has abstractyes

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