The impact of 5-ARI on perioperative and functional outcomes of GreenLight PVP: an analysis of the Global GreenLight Group database.
Bibliographic record
Abstract
INTRODUCTION: In this study, we sought to investigate the impact of 5-alpha reductase inhibitors (5-ARI) on the perioperative and functional outcomes of 180-Watt XPS GreenLight photovaporization of the prostate (PVP) using a large international database. MATERIALS AND METHODS: Data were obtained from the Global GreenLight Group (GGG) database, which includes eight high-volume, experienced surgeons from seven international centers. All men with established benign prostatic hyperplasia (BPH) with known 5-ARI status who underwent GreenLight PVP using the XPS-180W system between 2011 and 2019 were eligible for the study. Patients were assigned to two groups based on the preoperative use of 5-ARI. Analyses were adjusted for patient age, prostate volume, and American Society of Anesthesia (ASA) score. RESULTS: We included 3,500 men, of which 1,246 (36%) had preoperative 5-ARI use. Patients in both groups were similar with regards to age and prostate size. On multivariable analysis, total operative time was slightly shorter (-3.26 min 95% CI: 1.20 - 5.32, p < 0.01) and required 35.6kJ less laser energy (95% CI: -48.0kJ - -23.3kJ, p < 0.01) for patients on 5ARI compared to those without 5-ARI. However, no clinically significant difference was appreciated regarding postoperative transfusion rates [OR 0.048 (95% CI -0.82-0.91; p = 0.91)], hematuria rates [OR 0.96 (95% CI 0.72-1.3; p = 0.81)], 30-day readmission rates [OR 0.98 (95% CI 0.71-1.4; p = 0.90)], or overall functional outcomes. CONCLUSION: Our findings suggest that preoperative 5-ARI is not associated with any clinically significant different perioperative or functional outcomes for GreenLight PVP using the XPS-180W system. There is no role for the initiation or discontinuation of 5-ARI prior to GreenLight PVP.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".