The Risks and Benefits of Cavernous Neurovascular Bundle Sparing during Radical Prostatectomy: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
PURPOSE: We summarize published data on associations between cavernous neurovascular bundle preservation (nerve sparing) during prostatectomy and positive surgical margins, erectile function, urinary function and other patient reported outcomes. MATERIALS AND METHODS: A systematic literature search of MEDLINE®, Embase® and Cochrane Reviews databases was performed for interventional or observational studies published between 2000 and 2014. English language articles that compared clinical outcomes of patients undergoing nerve sparing and nonnerve sparing radical prostatectomy were included. Meta-analyses were performed to calculate pooled relative risk estimates for positive surgical margins, erectile dysfunction and urinary incontinence in nerve sparing and nonnerve sparing groups. Sensitivity analyses compared outcomes among unilateral and bilateral nerve sparing vs nonnerve sparing groups. RESULTS: Of the 1,883 articles identified, 124 studies (73,448 patients) were included in the analysis. Nerve sparing did not increase the risk of positive surgical margins in patients with pT2 (RR 0.92, 95% CI 0.75-1.13) or pT3 disease (RR 0.83, 95% CI 0.71-0.96), potentially due to appropriate patient selection. The risk of incontinence was lower in nerve sparing cases (RR 0.75, 95% CI 0.65-0.85 and RR 0.61, 95% CI 0.44-0.84) at 3 and 12 months, respectively. The relative risk of erectile dysfunction with nerve sparing was 0.77 (95% CI 0.70-0.85) at 3 months and 0.53 (95% CI 0.39-0.71) at 12 months. Subgroup analyses of unilateral and bilateral nerve sparing approaches demonstrated similar results. CONCLUSIONS: Among cohort studies nerve sparing was not associated with worse cancer outcomes. Nerve sparing is associated with better urinary and erectile function. These results should be interpreted with caution given the potential for selection bias and unadjusted confounding factors.
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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 | 0.010 | 0.027 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.015 | 0.038 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".