Retzius-Sparing Robotic-Assisted Laparoscopic Radical Prostatectomy: A Safe Surgical Technique with Superior Continence Outcomes
Why this work is in the frame
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Bibliographic record
Abstract
PURPOSE: To report early operative outcomes and assess continence in 100 consecutive patients who underwent Retzius-sparing robotic-assisted laparoscopic radical prostatectomy (RALP). MATERIALS AND METHODS: This was a prospective, single-center, consecutive case series of 100 and 100 patients undergoing a Retzius-sparing and a conventional RALP, respectively, by a single surgeon between March 2015 and April 2017. RESULTS: Baseline patient characteristics were similar between the two groups. The Retzius-sparing approach required significantly less console time (120.0 minutes vs 144.0 minutes, p < 0.001). There were no differences between intra- and post-operative complication rates, and hospital length of stay was similar in the two groups. Incidence of positive surgical margins was nonsignificantly different between the two groups, with 17% and 13% of pT2 patients and 49% and 48% of pT3 patients in the Retzius-sparing and conventional groups, respectively. Patients in the Retzius-sparing group had significantly superior rates of achieving post-operative urinary continence (log-rank test: p < 0.001), with 20% of patients continent within the first month, compared with 8% of patients in the conventional group. The mean number of pads per day needed at 3, 6, 9, and 12 months post-operatively was also significantly lower in the Retzius-sparing group. CONCLUSIONS: Retzius-sparing RALP requires shorter console time, is oncologically safe, and leads to significantly superior continence outcomes compared with conventional RALP.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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 it