Survival after partial and radical nephrectomy for high-risk disease: A propensity-matched comparison
Bibliographic record
Abstract
INTRODUCTION: Increasingly, partial nephrectomy has been applied to high-risk disease without evidence that its survival benefits can be extrapolated to this entity. We aimed to compare overall survival after partial vs. radical nephrectomy in patients with high-risk renal cell carcinoma. METHODS: Using the National Cancer Data Base, we identified patients who underwent partial or radical nephrectomy for high-risk disease between 2003 and 2006. High-risk disease was defined as the presence of adverse pathological features within the primary tumour, namely high-grade or unfavourable histology, T3 stage, or both. After matching the partial and radical nephrectomy groups based on propensity scores, 1680, 276, and 76 patients with high-grade or unfavourable histology, T3 stage, or both adverse pathologic features, respectively, were available for analysis. Five-year overall survival was compared after partial vs. radical nephrectomy for each high-risk cohort using the Kaplan-Meier and log rank tests. RESULTS: Partial nephrectomy was associated with a statistically significant improvement in five-year overall survival compared to radical nephrectomy for small tumours (median size 3.0 cm; interquartile range 2.1-4.5 cm) with high-grade or unfavourable histology (87% vs. 81%; p<0.01) or with pT3a stage (82% vs. 71%; p<0.01). For patients concomitantly harbouring both adverse pathologic features, no difference in survival was detected (p=0.21). CONCLUSIONS: Partial nephrectomy is associated with survival benefits in patients with adverse pathologic features, suggesting that renal preservation is not only safe, but also potentially beneficial for high-risk disease. Due to inherent selection bias associated with partial nephrectomy use, prospective validation of these findings is needed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".