Randomized, controlled trial of laser vs. bipolar plasma vaporization treatment of benign prostatic hyperplasia
Bibliographic record
Abstract
INTRODUCTION: Prostate vaporization technology is becoming a standard of care for treatment of moderate, symptomatic benign prostatic hyperplasia (BPH). We compared two transurethral prostate vaporization technologies with respect to cost, efficiency, efficacy, safety, and surgical team satisfaction. METHODS: diode laser vaporization. Primary outcome of cost with secondary outcomes of clinical efficacy, resection time, surgical team satisfaction, and safety were analyzed. Followup was carried out at six and 12 weeks. Patient factors included baseline, as well as six- and 12-week International Prostate Symptom Score (IPSS) with quality of life (QoL) scores. We recorded surgical team satisfaction with a Likert-style survey investigating ease of set-up, reliability, efficiency, and ability to reach desired endpoint. All complications or side effects detected within three months and the resulting management were included in the cost analysis. RESULTS: Mean cost per patient was $3418 for the Olympus group and $4564 for Biolitec (p<0.05). Surgical vaporization time was significantly less for the Olympus group, 24.3 vs. 33.5 minutes (p<0.05). Surgical and nursing staff preferred the Olympus device (p<0.05). IPPS symptom improvement and complication rates were similar between groups. Patients in the Biolitec arm had more intraoperative bleeding episodes requiring conversion to monopolar transurethral resection of the prostate (TURP) (three vs. none). CONCLUSIONS: In a head-to-head randomized trial, Olympus Plasma Button transurethral vaporization was more cost-effective, faster, and preferred by surgical staff when compared to Biolitetec Diode Laser vaporization. Both devices showed similar safety and efficacy.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.024 | 0.002 |
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".