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Record W2040882485 · doi:10.5489/cuaj.1983

Three-layer reconstruction of large urethrocutaneous fistulas using scrotal-septal flaps

2014· article· en· W2040882485 on OpenAlexvenueno aff
Yu Zhou, Qiang Li, Chuande Zhou, Fengyong Li, Linhai Xie, Senkai Li

Bibliographic record

VenueCanadian Urological Association Journal · 2014
Typearticle
Languageen
FieldMedicine
TopicUrological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsScrotumMedicineFistulaUrethraSurgeryStenosisRadiology

Abstract

fetched live from OpenAlex

INTRODUCTON: The repair of large urethrocutaneous fistulas (UCFs) commonly involves reconstruction of the urethra, waterproof layer and skin coverage, which deploy different tissues from different flaps. To simplify the multiple procedures, we explored to use one flap (a scrotal-septal flap) to reconstruct three layers in UCF repairing in one stage. METHODS: Between January 2011 and July 2012, 29 patients with large UCFs (ranging from 1.0 to 2.0 cm) were treated using scrotal-septal flaps for three-layer reconstruction. Every patient has an unbroken scrotum. The hair follicles in the donor site were destroyed using a radiosurgical knife 2 months before the operation. The flap was divided into three zones, which were flipped, folded, and extended respectively to form the urethra, waterproof layer and skin coverage. RESULTS: The patients were followed up between 6 to 12 months. No fistula recurrence was observed. All flaps survived, except in one case, in which the distal skin flap was lost but stenosis or fistula did not develop. Two patients underwent second operations to refine the aesthetic results. CONCLUSIONS: The scrotal-septal flap can be transferred in an overturning-folding-advancement fashion and can simultaneously involve the reconstruction of the urethra, waterproof barrier and skin coverage. This is a simple and reliable alternative for large UCFs (≤2 cm) repairing at the penoscrotal junction; however, it cannot be used in patients with a damaged scrotal septum.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.017
GPT teacher head0.243
Teacher spread0.226 · 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

Citations7
Published2014
Admission routes1
Has abstractyes

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