Factors Associated with Stent Change and Prognosis in Patients with Malignant Ureteral Obstruction
Bibliographic record
Abstract
Purpose: To identify factors associated with stent changes and prognosis in patients with malignant ureteral obstruction (MUO) undergoing de novo retrograde ureteral stenting. Materials and Methods: A retrospective cohort study was conducted at a tertiary referral center for consecutive MUO patients referred and initially managed with a ureteral stent. Multivariable regression models evaluated factors associated with the following outcomes: number of stent changes, time to first stent change, and overall survival. Results: A total of 120 patients from May 2009 to December 2019 were included; mean age was 63 years, majority (76.7%) were women, median duration of follow-up was 6.1 months. Majority (75%) of patients did not require a stent change at 3 months follow-up. Patients with a history of pelvic radiation (subdistribution hazard rate [sHR] 2.12, 95% confidence interval [CI] 1.23–3.67, p = 0.007) and with a history of bowel resection (sHR 2.06, 95% CI 1.05–4.03, p = 0.036) were independently associated with earlier stent changes. Patients with gastrointestinal (GI) malignancy (hazard rate [HR] 14.1, 95% CI 2.66–74.19, p = 0.0019) and proximal ureter obstruction (HR 2.49, 95% CI 1.21–5.14, p = 0.0136) were associated with higher rate of all-cause mortality. Conclusions: The majority of patients did not require stent change at their first stent surveillance cystoscopy at 3 months follow-up. Patients with a history of pelvic radiation or bowel resection were more likely to require stent change during their stent surveillance visits. GI malignancy and proximal ureter obstruction were associated with higher rates of mortality.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".