Biopsies Performed at Tertiary Care Centers are Superior to Referral Biopsies in Predicting Pathologic Gleason Sum
Bibliographic record
Abstract
OBJECTIVE: Biopsy grading at tertiary care centers may or may not be superior to biopsies performed at referral institutions. METHODS: Referral biopsy and tertiary care center biopsy Gleason sums were studied in 758 men treated with radical prostatectomy (RP) at a tertiary care center between 1992 and 2004. Grade agreement was calculated using the Cohen kappa (ê). Logistic regression models predicting high-grade prostate cancer at RP were fitted using either referral or tertiary care center biopsies. Comparison of bootstrap-corrected predictive accuracy estimates were performed using the Mantel-Haenszel test. RESULTS: Grade agreement between biopsy and RP Gleason sum was higher (P = 0.003) for tertiary care center biopsies v referral biopsies (55.5% v 47.9%; P = 0.003). Upgrading occurred in 39.8% of referral biopsies v 32.6% of tertiary care center biopsies (P = 0.03). Tertiary care center biopsies were more accurate in determining RP Gleason sum than referral biopsies (71.5% v 65.6%, P = 0.04). CONCLUSION: More accurate prediction of RP Gleason grade may be achieved if biopsy is performed and graded at tertiary care centers.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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) | 0.000 | 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".