Multicentre international experience of 532‐nm laser photoselective vaporization with GreenLight <scp>XPS</scp> in men with very large prostates
Bibliographic record
Abstract
OBJECTIVES: To describe peri-operative results, functional outcomes and complications of laser photoselective vaporization, using the GreenLight system, of prostate glands ≥200 mL in volume. METHODS: Retrospective analysis of a prospectively maintained multicentre database was performed to select a subgroup of patients with very large prostates (volume ≥200 mL) treated with the GreenLight XPS laser. A subgroup of patients with prostate volumes 100-200 mL was used for comparison. International Prostate Symptom Score, maximum urinary flow rate, postvoid residual urine volume and prostate-specific antigen levels were measured at 6, 12, 24, 36 and 48 months. Durability was evaluated using benign prostatic hyperplasia re-treatment rate at 12, 24 and 36 months. Additionally, complications were recorded using Clavien-Dindo classification. RESULTS: A total of 33 patients (38%) had prostates ≥200 mL. Baseline characteristics were similar between patients with prostates ≥200 mL and those with prostates 100-200 mL. Patients with very large prostates (≥200 mL) had longer operating times (129 vs 93 min), less energy delivered, a greater number of fibres used (3 vs 2) and a higher conversion rate to transurethral resection of the prostate (16% vs 4%). In terms of complications and functional outcomes, we did not find any differences between the groups. Retreatment rate was also comparable. CONCLUSIONS: Our results show that PVP GreenLight XPS-180W is an acceptable technique for very large prostates (≥200 mL); however, operating times, energy delivery, fibres used and conversion to TURP are a concern in this particular subgroup. This should be used for patient counselling and surgery planning.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".