Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: Tissue interposition is an important part of vesicovaginal fistula (VVF) repair that has been shown to improve success rates. The most common interpositional flap used during a transabdominal VVF repair is the omental flap; however, in some cases, it cannot be used. The urachus is a well-vascularized tissue that is easily mobilized for interposition. We describe our experience using a urachal flap in VVF repair. METHODS: Patients undergoing VVF repair at our center were identified, and a retrospective chart review was performed. Patients who underwent a transabdominal repair with interposition of a urachal flap were included. RESULTS: Thirteen patients were identified between 2005 and 2009. All were evaluated with a history, physical, upper and lower tract imaging, and cystoscopy. Median patient age was 49 years (range, 31-88 years). Fistula etiology was hysterectomy in 11 and prolapse repair in 2. Five patients presented with recurrent fistulas having failed previous repair. Of 13 patients, 12 had successful repairs with our described technique, including 4 patients who failed previous repairs. There was no recurrence of fistula after median follow-up of 6 months (range, 2 weeks to 4 years). Two patients had preoperative and postoperative complaints of stress urinary incontinence that was mild and did not require surgery. CONCLUSIONS: Vesicovaginal fistulas can be a difficult challenge for the reconstructive surgeon. The urachal flap is a well-vascularized tissue flap that can be easily mobilized and interposed for VVF repair. Of 13 patients in this series, 12 were successfully repaired using this technique. We feel that further evaluation and usage of this tissue flap are indicated.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it