Randomized trial comparing an anterograde versus a retrograde approach to open radical prostatectomy: results in terms of positive margin rate
Bibliographic record
Abstract
OBJECTIVES: Surgical technique, patient characteristics and method of pathological review may influence surgical margin (SM) status. Positive surgical margin (SM+) rates of 14% to 46% have been reported in different radical retropubic prostatectomy (RRP) series. We evaluated the effect of an anterograde versus retrograde approach to RRP and specifically focused on the incidence of SM+. METHODS: From January 2003 to November 2007, we randomly assigned 200 patients with clinically localized prostate adenocarcinomas to undergo a retrograde (Group A) versus an anterograde (Group B) open RRP. All RRPs were performed at our institution by 2 surgeons. For all 200 patients, we evaluated a panel of clinical and pathological variables relating to their association with SM status. RESULTS: In Group A, 22% of cases after RRP showed a pT3 tumour and 39% of cases with a Gleason score >/=7 (4+3); in Group B, 20% of cases showed a pT3 tumour and 37% of cases with a Gleason score >/=7 (4+3) (p > 0.10). The incidence of SM+ was 18% in Group A and 14% in Group B (p = 0.0320). In Group A, 22.2% of cases with SM+ had multiple positive margins, whereas no cases in Group B showed multiple SM+. Regarding the localization of SM+, no difference was found between the 2 groups. In the multivariate analysis, only prostate-specific antigen (p = 0.0090 and p = 0.0020, respectively in the 2 groups) and pathological stage (p < 0.0001 in both groups) were significant and independently associated with SM+ occurrence. CONCLUSION: In our experience, the anterograde approach to open RRP is associated with lower SM+ rates and no risk of multiple SM+ when compared with the retrograde approach.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".