Evaluation of risk factors and treatment options in patients with ureteral stricture disease at a single institution
Bibliographic record
Abstract
INTRODUCTION: Ureteral strictures are a significant cause of morbidity and mortality, resulting in potential kidney damage requiring several surgical procedures. Non-malignant causes include radiation, trauma from calculi impaction, pelvic surgery, or ureteroscopy (URS). We identified risk factors in our patients with ureteral strictures and the success of their treatment outcomes. METHODS: A retrospective chart review of 25 patients with 29 ureteral strictures was performed to determine the success of their treatment. RESULTS: Twenty-five (25) patients with 29 benign ureteral strictures were identified. Most cases (60%) were caused by impacted stones where the median stone size was 1.15 cm (0.37-1.8 cm). Intervention for stones prior to stricture development included shockwave lithotripsy, URS, and percutaneous nephrolithotomy. Five patients with strictures from impacted stones had ureteric complications during stone treatment including perforation +/- urinoma (n=3), fractured guidewire left in situ (n=1), and ureteric orifice resection (n=1). Other stricture etiologies included radiation (28%) and endometriosis (4%). Treatment modalities used included ureteroureterostomy (n=2), ureteral re-implant (n=3), urinary diversion (n=3), autotrasplant (n=1), laser endoureterotomy +/- balloon dilation (n=8), nephrectomy (n=2), balloon dilation +/- stent (n=3), ureterovesical junction (UVJ) resection + stent (n=1), chronic stent changes (n=4), or surveillance (n=3). CONCLUSIONS: Our evaluation highlights important principles. Patients with complicated ureteroscopies or severely impacted calculi warrant close followup with imaging after stone treatment due to possibility of rapid renal deterioration from stricture formation. Radiation-induced strictures are difficult to manage, possibly requiring subsequent urinary diversion. Finally, endoscopic management of benign ureteral strictures via balloon dilation and laser endoureterotomy is an excellent choice in properly selected patients, with opportunity for subsequent salvage treatments if needed.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".