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Record W2193157032 · doi:10.5489/cuaj.2938

A novel approach to the repair of urethrocutaneous fistulae arising after abdominoperineal anorectal resection

2015· article· en· W2193157032 on OpenAlexaffvenue
Alaya Yassein, Shawn Dason, Stephen Kelly, Timothy O. Davies

Bibliographic record

VenueCanadian Urological Association Journal · 2015
Typearticle
Languageen
FieldMedicine
TopicAnorectal Disease Treatments and Outcomes
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineAbdominoperineal resectionSurgeryUrethroplastyFistulaUrinary FistulaColorectal surgeryColorectal cancerUrethraCancerAbdominal surgery

Abstract

fetched live from OpenAlex

This case report describes a novel approach to the repair of perineal urethrocutaneous fistulae (UCF) after abdominoperineal resection (APR). A 62-year-old patient developed a UCF after an APR for rectal cancer complicated by perineal abscess formation. The patient presented with continuous urinary drainage from the fistula that persisted despite a number of conservative and surgical measures. The patient underwent successful repair of the urethrocutaneous fistula in prone position-an approach that has not previously been described in the literature. Repair was performed by the multi-disciplinary team of a reconstructive urologist, colorectal surgeon, and plastic surgeon. Post-operative retrograde urethrogram demonstrated the absence of a persistent fistula tract and the patient has been continent for 18 months. The prone approach for UCF repair allows for excellent access to the fistula tract for posterior urethroplasty in a patient that has had prior APR.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.022
GPT teacher head0.246
Teacher spread0.224 · 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 designNot applicable
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
Published2015
Admission routes2
Has abstractyes

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