DrillCutTM vs. VersaCutTM prostate tissue morcellation devices after holmium laser enucleation: A prospective, randomized controlled trial
Bibliographic record
Abstract
Introduction: We aimed to compare efficacy, safety, and cost of disposables of the DrillCutTM morcellator with the VersaCutTM morcellator after holmium laser enucleation of the prostate (HoLEP).Methods: After obtaining ethical approval, consecutive patients undergoing HoLEP for symptomatic benign prostatic hyperplasia were randomized to have their enucleated prostates morcellated by either Karl Storz® DrillCutTM or Lumenis® VersaCutTM morcellators. All procedures were performed by two experienced urologists. Patients’ demographics and perioperative data were recorded. Both morcellators were compared for their safety, efficacy, and cost-effectiveness.Results: Eighty-two patients were included in the study (41 per each arm). Both groups were comparable in terms of age, preoperative prostate size (114 vs. 112 mL; p>0.05), enucleation time (95.3 vs. 91.7 minutes; p>0.05), and morcellation time (22.6 vs. 17.3 minutes; p>0.05). The DrillCutTM was associated with significantly lower morcellation rate when compared with the VersaCutTM(3.6 vs. 4.9 g/min; p= 0.03). In terms of safety, there was no significant difference between both morcellators in complication rates (2.4% vs. 7.3 %; p=0.1). However, there was one case of bladder perforation requiring exploration with the VersaCutTM. The DrillCutTM was associated with significantly higher cost of disposables when compared with the VersaCutTM ($247.5 vs. $160.9; p<0.01).Conclusions: Despite the small sample size, the DrillCutTM was associated with lower morcellation rate when compared with the VersaCutTM. However, this difference may not be clinically significant. Although both morcellators were comparable in their safety, the DrillCutTM was associated with higher cost of disposables when compared with the VersaCutTM.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".