Postoperative Lower Urinary Tract Storage Symptoms: Does Prostate Enucleation Differ from Prostate Vaporization for Treatment of Symptomatic Benign Prostatic Hyperplasia?
Bibliographic record
Abstract
PURPOSE: To assess the degree of postoperative storage symptoms after GreenLight™ laser photoselective vaporization of the prostate (PVP) and Holmium laser enucleation of the prostate (HoLEP) for management of benign prostatic hyperplasia (BPH) and its predictors. METHODS: A retrospective review was performed for patients who underwent HoLEP or PVP for non catheter-dependent patients with BPH. Patients were followed up at 1, 3, 6, and 12 months and then annually by International Prostate Symptoms Score (IPSS), quality of life index, peak flow rate, residual urine volume, and prostate-specific antigen (PSA) level. Moderate or severe storage symptoms were defined as IPSS storage subscore ≥ 9. RESULTS: Of 1673 laser procedures, a total of 1100 procedures met the inclusion criteria including 809 HoLEPs and 291 PVPs. The HoLEP group had significantly larger preoperative prostates and longer operative time. In the HoLEP group, postoperative IPSS was significantly better than in the PVP group at all follow-up points (P<0.05). Storage subscore was significantly higher after PVP and did not improve until 6 months postoperatively when it became comparable with that of the HoLEP group. The number of patients with IPSS-storage score ≥ 9 were significantly higher in the PVP group at 1 and 3 months follow-up (37.3% vs 15.1%, P<0.001) and (26.4% vs 17.5%, P=0.004), respectively. XPS-180W was associated with the lowest storage symptoms among the three GreenLight generations at all follow-up visits. In multivariate analysis, baseline IPSS-storage subscore ≥ 9, prolonged operative time >100 minutes, and lower percent of postoperative PSA level reduction significantly predicted less improvement of postoperative storage symptoms regardless of the laser procedure. CONCLUSION: Storage urinary symptoms significantly improved more after HoLEP compared with PVP, irrespective of the generation of GreenLight laser used. Recovery from bothersome storage urinary symptoms after prostate vaporization is time dependent, and baseline degree of storage symptoms, prolonged operative time, and lower percent of postoperative PSA level reduction negatively predicts postoperative improvement of storage symptoms regardless of the laser procedure.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".