Holmium: Yttrium-Aluminum-Garnet Laser Endoureterotomy for Benign Ureteral Strictures: a Single-Centre Experience
Bibliographic record
Abstract
PURPOSE: This study aimed to report the results of endoureterotomy for benign ureteral strictures using the holmium: yttrium-aluminum-garnet laser. MATERIAL AND METHODS: Nineteen patients (8 men and 11 women, mean age 51.47 years) underwent holmium: yttrium-aluminum-garnet laser endoureterotomy for benign ureteral strictures (8 proximal, 3 middle, and 8 distal) using semi-rigid ureteroscopy and 360-microm fibre at 1.2 J/pulse and 10 Hz. After completion of the incision, a 7-Fr double-J ureteral stent was left for 6 weeks. Thereafter, the patients were followed-up by ultrasound and/or intravenous urography at 3-6 monthly intervals. RESULTS: Success was defined as the absence of symptoms plus radiographic resolution of obstructions as assessed by diuretic renography and/or intravenous urography. With a mean follow-up of 40.2 months, success was achieved in 10 (52.6%) of the 19 patients. Nine patients developed recurrent strictures and were considered treatment failures. The stricture length and severity of hydronephrosis correlated with successful outcome, but gender, aetiology, side and location of strictures did not predict outcome. CONCLUSIONS: Although endoureterotomy using a holmium : yttrium-aluminum-garnet laser has an equivocal outcome, the procedure is recommended as a safe, less invasive therapeutic option for the initial management of benign ureteral strictures.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".