Analysis of the top-down HoLEP learning curve: A single-center experience of two clinical fellows
Bibliographic record
Abstract
INTRODUCTION: Holmium laser enucleation of the prostate (HoLEP) is known to have a steep learning curve. The top-down technique was introduced to lessen the number of procedures required to master HoLEP. We aimed to present the experiences of two successive clinical fellows with the top-down HoLEP learning curve and compare their performance with the supervisor. METHODS: We conducted a prospective study of 40 patients who underwent top-down HoLEP performed by two successive fellows at our institution from September 2020 to November 2022. Before data collection, each learner observed three top-down HoLEP procedures and assisted with seven additional cases before independently performing top-down HoLEP under supervision. We collected data from each fellow's first 20 consecutive top-down HoLEP procedures. The learners' cases were grouped according to chronological order (Cases 1-10 and 11-20). The primary outcome was defined as the number of cases before the fellow could independently complete all steps of top-down HoLEP without any major intraoperative complications. The secondary outcomes included the intraoperative and postoperative outcomes of both groups. The fellows' 40 cumulative cases were then compared against retrospective data from 148 procedures conducted by their supervisor. RESULTS: There were no significant differences in patient demographics for both clinical fellows. Each learner performed the first 20 cases independently without needing the supervisor to intervene. No major intraoperative complications were recorded, and there were no statistically significant differences in intraoperative and postoperative outcomes between fellows' cases. There was a statistically significant difference between the fellows and their supervisor in terms of operative efficiency and enucleation efficiency (p < 0.001). We did not find a significant difference between the fellows and the supervisor regarding intraoperative complications, major postoperative complications, or postoperative subjective and objective parameters. CONCLUSIONS: Top-down HoLEP shows promising and reproducible results in shortening HoLEP's learning curve. Larger comparative and multi-institutional studies are warranted.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".