Population‐based assessment of re‐treatment and healthcare utilisation after photoselective vaporisation of the prostate or electrosurgical transurethral resection of the prostate
Bibliographic record
Abstract
OBJECTIVE: To compare the healthcare utilisation and repeat surgical treatment rate amongst older men undergoing an electrosurgical-transurethral resection of the prostate (TURP) vs photoselective vaporisation of the prostate (PVP), as the real-world implementation and outcomes of laser-based treatment have not been well studied. PATIENTS AND METHODS: We used administrative data from the province of Ontario, Canada, to identify all men aged >66 years who underwent their first electrosurgical-TURP/PVP between 2003 and 2016. Our primary exposure was type of procedure (PVP or electrosurgical-TURP). Our primary outcome was need for repeat surgical treatment. The primary analysis was an adjusted marginal Cox model approach, which accounted for clustering of patients within surgeons; adjusted hazard ratios (aHRs) or odds ratios (aORs) and 95% confidence intervals (CIs) are reported. RESULTS: We identified 52 748 men: 6838 (13%) underwent PVP, and 45 910 (87%) underwent electrosurgical-TURP. The median age was similar, and PVP became more common with time. Compared to the PVP group, more patients in the electrosurgical-TURP group had prior gross haematuria or urinary retention, and fewer had used anticoagulants, α-blockers, or 5α-reductase inhibitors. The need for repeat surgical treatment was significantly higher amongst men who had PVP (aHR 1.57, 95% CI 1.38-1.78; absolute risk difference +2.3%). PVP was also associated with a slightly higher risk of return to the emergency room within 30 days (aOR 1.11, 95% CI 1.01-1.22) and a significantly lower risk of blood transfusion (aOR 0.24, CI 0.16-0.37); the majority of PVP cases were done with a <24 h stay (73%) vs electrosurgical-TURP (7%). CONCLUSIONS: While some of the expected benefits of PVP (such as reduced transfusion risk and shorter length of stay) were observed, the significantly higher rate of repeat surgical treatment compared to electrosurgical-TURP may represent an important difference in implementation of this technology outside of clinical trials.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".