Renal Decompression for Malignant Ureteric Obstruction: A Tertiary Hospital Cohort Analysis
Bibliographic record
Abstract
Background/Objectives: Malignant ureteric obstruction is an increasingly common problem; however, its treatment remains challenging due to associated poor survival and quality of life outcomes. There is a lack of consensus on how to best manage these patients. We provide a description of the survival outcomes, renal function outcomes, complications, and prognostic factors associated with the treatment of malignant ureteric obstruction in a cohort of patients at our tertiary Urology unit. Methods: A retrospective review of prospectively identified patients treated for malignant ureteric obstruction at our tertiary Urology unit was performed. Obstruction was relieved with either retrograde insertion of a ureteric stent or percutaneous nephrostomy between the 1st of January 2018, and 31st of December 2023. Renal function, complications, and survival data were recorded. Subgroup analysis and survival analysis were performed to determine prognostic factors. Results: Eighty-four patients underwent treatment for malignant ureteric obstruction with a median survival of 197 days (3–1549 days). A total of 51% percent of patients had a stent-related complication requiring hospitalisation, resulting in a total of 966 additional days in hospital. A total of 78% of patients had improved renal function at 12 months. Factors associated with worse survival included emergency treatment of malignant ureteric obstruction, having no further oncological treatment, receiving no oncological-specific treatment for malignancy, bilateral obstruction, female gender, and poor Primary site, Laterality, serum Creatinine level, and Treatment for primary site (PLaCT) prognosis group (p =< 0.01). Conclusions: Patients with malignant ureteric obstruction have a poor prognosis despite intervention. Treatment is often futile and associated with a significant burden of complications related to ureteric stents and percutaneous nephrostomies.
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 | 0.001 |
| 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".