Surgical management of benign prostatic obstruction: 20-year population-level trends
Bibliographic record
Abstract
INTRODUCTION: Benign prostatic obstruction (BPO) due to histological benign prostatic hyperplasia is highly prevalent among older men. Despite widespread use of medical therapy, surgical treatment remains a mainstay in the management of BPO. We sought to characterize trends in the surgical management of BPO in Ontario, Canada. METHODS: We performed an interrupted time-series analysis using segmented regression among men aged 18 years and older undergoing surgical treatment for BPO between January 1, 1994 and December 31, 2014 in Ontario, Canada. The passage of time was considered the primary exposure. The primary outcome was the proportion of all BPO surgeries performed using each of the following modalities: transurethral resection of the prostate (TURP), endoscopic laser prostatectomy, open/laparoscopic prostatectomy, and others. RESULTS: We identified 136 459 men who underwent BPO surgery between 1994 and 2014. The annual age-adjusted rate of BPO surgery declined significantly over time (24 to 10 per 10 000 population in 1994 and 2014, respectively). From 1994-2001, there were no significant changes in the distribution of BPO surgical modalities, with TURP the most common throughout (97.2% and 97% in 1994 and 2001, respectively). From 2002-2014, there was a significant decline in the use of TURP (92.1% to 76.9%; p=0.027) with a corresponding increase in the use of endoscopic laser prostatectomy (3.5% to 21.9%; p=0.0008). CONCLUSIONS: This study demonstrates a shift in the management of BPO, with increasing use of endoscopic laser prostatectomy, beginning in 2002. However, TURP remains the most common treatment modality.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".