Does Resectoscope Sheath Size Influence Holmium Laser Enucleation of the Prostate Outcomes? A Prospective Randomized Controlled Trial
Bibliographic record
Abstract
Introduction:Holmium laser enucleation of the prostate (HoLEP) is routinely performed with a 24F, 26F, or a 28F scope. Proponents of the larger scopes propose that a bigger sheath size allows for superior flow and visibility leading to a more efficient operation and better hemostasis. Those utilizing the smaller scopes suggest that the smaller sheath is less traumatic, resulting in lower stricture rates and temporary incontinence. We sought to compare outcomes of ambulatory HoLEP using the 24F and 28F laser scope. Materials and Methods:From May 2022 to March 2023, we randomized patients undergoing HoLEP (<200 cm3 in size) 1:1 to either a 24F or 28F scope. The primary outcome was differences in surgical duration between groups (minutes). Secondary outcomes included surgeon scope evaluation and postoperative patient results. Results:There was no difference in patient characteristics in those randomized to 28F (n = 76) vs 24F (n = 76) (p > 0.05) scopes. Procedural duration and efficiencies were not different between groups (all p > 0.05). The 28F scope was associated with improved surgeon-graded irrigation flow and visibility (p < 0.001). Patients treated with the 28F scope were more likely to achieve effective same-day trial of void (SDTOV) (28F 94.3% vs 24F 82.1%, p = 0.048) and have a shorter length of stay (LOS) (28F 7.0 vs 24F 11.9 hours, p = 0.014), however, rates of same-day discharge (SDD) were not statistically different (28F 87.8% vs 24F 78.4%, p = 0.126). There was no difference between the cohorts in rates of 90-day emergency room presentations, re-admissions, complications, or functional ouctomes (p > 0.05). Conclusions:We identified no clear advantage of scope size with regard to intraoperative or postoperative outcomes at 3-month follow-up due to scope size. However, if SDD is part of your postoperative pathway, the 28F scope may shorten LOS and increase rates of effective SDTOV.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".