Efficacy of GreenLight laser prostatectomy in urinary retention
Bibliographic record
Abstract
INTRODUCTION: The objective of our study was to evaluate the efficacy and durability of GreenLight laser prostatectomy for the management of acute urinary retention (AUR) and chronic urinary retention (CUR) and to determine outcomes compared to patients without preoperative urinary retention (UR). METHODS: We conducted a retrospective study of prospectively collected data from individuals who underwent GreenLight laser prostatectomy at our institution from May 2018 to July 2022. Patient demographics and outcome measures were recorded, including indications for the procedure, median urinary volume drained, or median postvoid residual urine volume (PVR) before catheterization or GreenLight laser prostatectomy. CUR was defined as PVR >300 mL in males able to void and initial catheter drainage >1000 mL in males unable to void in the absence of pain. All patients had postoperative followup visits at one, three, six, and 12 months. Our evaluation included the International Prostate Symptom Score (IPSS), quality-of-life (QoL) assessment, maximum urinary flow rate (Qmax), PVR, and catheter-free status. RESULTS: One hundred sixty-eight males who underwent GreenLight laser prostatectomy were included in our study. The UR group consisted of 88 patients (50 AUR and 38 CUR), and the lower urinary tract symptoms (LUTS) group was comprised of 80 individuals. There were no statistically significant differences between the AUR and CUR subgroups regarding demographics. The UR group had a significantly higher age and a significantly higher postoperative catheterization time compared to the LUTS cohort. The CUR subgroup had a significantly higher PVR at one, three, and six months compared to the AUR subgroup, although other outcome measures were similar between the two cohorts. During three- and six-month followup visits, the UR group had a significantly higher PVR than the LUTS cohort. At 12 months postoperative, the LUTS group had a higher catheter-free rate than the UR group (p=0.001). The successful first trial of void (TOV) rate for the UR and LUTS groups were 83% and 80%, respectively. At 12-month followup, the catheter-free rate for the UR and LUTS cohorts was 87.5% and 100%, respectively. CONCLUSIONS: GreenLight laser prostatectomy is an effective and durable treatment for UR, with a high catheter-free rate and comparable outcomes when performed to manage LUTS.
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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 | 0.000 |
| 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) | 0.001 | 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".