Surgical Approach Does Not Impact Margin Status After Partial Nephrectomy for Large Renal Masses
Bibliographic record
Abstract
Purpose: While surgical approach has recently been associated with positive surgical margin (PSM) after partial nephrectomy (PN) for small (<4 cm) renal masses, its impact on margin status for large (>4 cm) masses is unclear. We sought to evaluate the relationship between margin and surgical approach in patients undergoing PN for large renal masses. Materials and Methods: Using the National Cancer Database (NCDB), we identified patients undergoing PN for pathological T 1b and T 2a renal-cell carcinoma diagnosed from 2010 to 2013. Conversions to open surgery were also included in our analysis. The primary outcome was surgical margin status. Multivariable regression modeling was performed to identify factors associated with PSM. A propensity score matching analysis was then performed to evaluate the impact of margin status on overall survival (OS). Results: Of the 7495 patients undergoing PN for pT 1b and pT 2a renal masses over the study period, 504 (6.7%) had PSM. On multivariable analysis, surgical approach (laparoscopic or robot assisted vs open) was not significantly associated with surgical margin ( p = 0.12 and p = 0.44, respectively). Tumor stage (T 2a vs T 1b ) also showed no significant association ( p = 0.18). A subsequent multivariable analysis using clinical staging showed that surgical approach ( p = 0.28 and p = 0.54, respectively), tumor stage ( p = 0.78), and conversion-to-open surgery ( p = 0.98) had no significant association with PSM. Propensity score matched analysis showed that PSM was not significantly associated with OS (hazard ratio 0.95 [95% confidence interval 0.47–1.92] p = 0.88). Conclusion: In a contemporary nation-wide cohort, surgical approach was not associated with an increased risk of PSM for large, noninvasive renal masses. Furthermore, increased size from T 1b to T 2a was not associated with an increased risk of PSM. These data suggest that surgical approach should be selected by surgeon comfort level with an individual tumor, rather than the size of the tumor itself.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".