Bibliographic record
Abstract
Introduction: Surgical wait times are a key quality indicator in healthcare.Recent literature has focused on reducing delays for oncologic surgeries, while non-oncologic surgeries have received little to no attention.Benign prostatic hyperplasia (BPH) affects nearly 80% of men by their eighties, often causing lower urinary tract symptoms (LUTS) and urinary retention, leading to reduced quality of life and financial burden.Treatment options for moderate-to-severe LUTS-BPH range from medical therapy to minimally invasive and invasive surgeries.This study aimed to examine surgical wait times for BPH and identify predictors of complications related to catheter dependence.Methods: A retrospective review was undertaken to identify catheter-dependent BPH patients who underwent surgical treatment in the form of transurethral resection of prostate (TURP), GreenLight laser of prostate (GLLP), robotic simple prostatectomy, and holmium laser enucleation of the prostate (HoLEP) from May 1, 2022, to May 1, 2024, in Edmonton.Collected data included patient characteristics (BMI, ASA classification, preoperative anti-coagulation use, prior BPH surgery, preoperative 5-alpha reductase inhibitor use, prostate volume), catheter-dependent period until surgery, and preoperative complications.Results: Of 255 catheter-dependent patients, 115 (45.1%) underwent TURP, 76 (29.8%)GLLP, 16 (6.3%)simple prostatectomy, and 48 (18.8%) underwent HoLEP.Excluding patients with comorbidities delaying surgery, the mean time from catheter insertion to OR was 101 days (median: 85 days).Preoperative complications occurred in 155 patients (60.8%), including ER visits for UTI (79.4%), recurrent UTIs (23.9%), hematuria (37.4%), epididymitis (3.2%), catheter-related issues (37.4%), and hospital admissions for urosepsis or hematuria (12.9%).Binary regression identified catheter duration as the only significant predictor of complications (OR 1.013, p<0.001), representing a 1.3% increase in the odds of complications per additional day with catheter.The mean time to complication was 43 days (median: 30 days).Conclusions: To our knowledge, this study is the first to depict surgical wait times in catheter-dependent BPH patients.More than half of the patients experienced complications associated with prolonged catheterization.These findings highlight the significant impact of delayed surgical intervention, emphasizing the need for targeted strategies to reduce wait times and enhance patient care.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.301 | 0.112 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".