Location of a positive biopsy as a predictor of surgical margin status and extraprostatic disease in radical prostatectomy
Bibliographic record
Abstract
OBJECTIVE: To investigate whether the location of preoperative biopsy positive cores can identify patients at higher risk of a positive surgical margin (SM) and extraprostatic extension (EPE) at radical retropubic prostatectomy (RRP). PATIENTS AND METHODS: We retrospectively reviewed the clinical and pathological data of 371 patients who had a RRP for biopsy confirmed prostate cancer between January 2000 and October 2003. RESULTS: A positive biopsy at the apex was not predictive of a positive apical SM or EPE. However, a positive biopsy at the base was predictive of a positive basal SM and EPE. A positive SM, in turn, correlated with EPE on final pathology. Positive basal SM correlated with EPE in 75% of cases whereas positive apical SM showed EPE in only 33% (P < 0.02). CONCLUSION: A positive biopsy core at the base appears to correlate with a positive basal SM and EPE. A positive basal SM correlates with EPE at a higher rate than apical SMs.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".