The Burden on a Urologist of Percutaneous Nephrostomies and Antegrade Ureteric Stents: Should Trainee Urologists Learn to Perform these Procedures?
Bibliographic record
Abstract
Background and Objective Renal obstruction is a common urological emergency potentially requiring urgent decompression by percutaneous nephrostomy (PCN) or antegrade ureteric stent (AUrS), procedures performed by interventional radiologists, or retrograde stenting in theatre by a urologist. The study aimed to assess the burden of PCN / AUrS on the overall workload of a urology department and evaluate impact of procedural delays in terms of bed-occupancy and cost. The findings serve to explore whether formal PCN / AUrS training would be desirable for UK trainees in urology. Material and Methods Prospective study of all patients admitted under urology at Queen Elizabeth Hospital Birmingham (QEHB) between 20 th October - 18 th November 2018. Electronic records to retrieve data pertaining to admission, treatment provided, length of in-patient stay and delay awaiting PCN / AUrS. Results n=148 patients identified. n=22 (14.8% of total) primary admission reason and/or main treatment provided related to PCN / AUrS. 601 urology in-patient days occupied for all causes, 166 (27.6%) related to PCN / AUrS and 66 (10.9%) awaiting PCN / AUrS (delays cost �11,361 / month). Conclusion PCN / AUrS constituted a noteworthy proportion of all admissions and in-patient bed days in QEHB urology. Clinically non-urgent patients experienced notable cumulative delays whilst awaiting PCN / AUrS which adversely impacted bed occupancy. A suitably trained urologist competent at PCN / AUrS may positively address these issues. The findings merit consideration of a call for UK urology trainees to be trained in PCN / AUrS as part of CCT requirements.
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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 | 0.001 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".