Bibliographic record
Abstract
Introduction: Radical prostatectomy remains the gold standard for localized prostate cancer (ISUP grade 2-5).While robotic-assisted radical prostatectomy (RARP) has gained popularity as a minimally invasive approach, the incidence of postoperative SUI remains a concern.This study investigated the effectiveness of a novel intraoperative approach involving an early retrograde release of the urethra, implemented to minimize traction injury.This randomized controlled trial (RCT) compares this novel technique to a standard RARP approach, evaluating its impact on SUI and erectile function at six-month followup.Methods: This is a single-institution, randomized control trial taking place from December 2023 to December 2024.Fifty-six patients (34 in the experimental group, 22 in the control group) were included.Patients were randomly chosen for the control and experimental approach.Pathology data, including prostate size, TNM staging, and Gleason score were compared using a one-way ANOVA with Tukey test.ICIQ and IIEF scores were obtained from patients at the six-week and six-month followup points and statistical analysis was obtained through a one-way ANOVA and Tukey test analysis.Results: Fifty-six patients were enrolled, with 34 in the experimental group and 22 in the control group.Pathology data, including prostate size, TNM staging, and Gleason score were comparable between the control and experimental groups.ICIQ scores were significantly different between the control and experimental groups at six weeks (F=5.02362,p<0.05) and six months (F=5.33265).At six months, experimental participants saw a 48.2% improvement in ICIQ scores from baseline at six weeks, and control group participants saw a 32.2% improvement.Forty percent of the experimental participants were using no pads during the day or night, while only 25% from the control group had similar results.In terms of IIEF scores, both groups had comparable scores at six months.Conclusions: This single-institution, randomized study demonstrates an early retrograde urethral release during robotic-assisted radical prostatectomy that has a safe oncologic outcome, as well as benefits for patient incontinence status postoperatively compared to the standard retrograde approach.We hope to next have followup data available at the one-year mark.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.490 | 0.187 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".