Top-down vs. Traditional Anatomical Endoscopic Enucleation of the Prostate (AEEP): Does the direction of enucleation matter?
Bibliographic record
Abstract
BACKGROUND: The top-down holmium laser enucleation of the prostate (HoLEP) technique recently emerged as a safe and effective modification of traditional HoLEP. In our randomized controlled trial, we compared intraoperative and postoperative outcomes of traditional and top-down HoLEP for the treatment of benign prostatic hyperplasia (BPH) in patients with a prostate size ≥80 g. METHODS: One-hundred patients with BPH and a prostate volume ≥80 cc participated in this prospective randomized controlled trial. Outcome measures were collected and compared, including IPSS, QoL, flow rate, PVR, IIEF-15, PSA, and TRUS prostate volume changes. Perioperative complications were also recorded. All patients were followed up at 1, 3, 6, and 12 months. RESULTS: There were no significant differences in preoperative baseline characteristics between the two surgical groups. The median prostate volume for the traditional and top-down HoLEP groups was 107 and 102 cc, respectively. The operative parameters and postoperative outcomes were comparable for both cohorts. The median enucleation time for traditional HoLEP was 60min, which was not significantly longer than that of top-down HoLEP (52min) (p=0.07). At 3 months follow-up, there was no statistically significant difference in transient stress urinary incontinence (SUI) in the traditional HoLEP (4.1%) versus the top-down HoLEP group (2.2%), (p =0.61). There were no significant differences in functional and sexual outcomes between the two groups at 12 months. CONCLUSIONS: The HoLEP procedure significantly improves patients’ urinary functional outcomes and has comparable postoperative outcomes regardless of the technique utilized.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".