Effect of autologous blood transfusion on the rate of biochemical recurrence after radical prostatectomy
Bibliographic record
Abstract
OBJECTIVE: To test the association between autologous blood transfusion (ABT) and biochemical recurrence (BCR) after radical prostatectomy (RP) in a large group of contemporary patients. PATIENTS AND METHODS: We analysed 1291 patients treated with RP; Kaplan-Meier analysis was used to graphically explore the association between ABT and BCR. Cox regression models addressed the association between ABT and BCR in univariate and multivariate analyses, after adjusting for preoperative prostate specific antigen level, pathological Gleason sum, extracapsular extension, seminal vesicle invasion and lymph node invasion. RESULTS: Of all patients, 205 (15.4%) received perioperative ABT. The mean (median, range) follow-up was 43.2 (40.9, 0.3-145) months. BCR was recorded in 347 (26.9%) patients and the time to BCR was 25.2 (20.5, 0.3-107) months. Neither in univariate (P = 0.053) nor in multivariate (P = 0.2) Cox regression analyses was ABT a statistically significant or independent predictor of BCR. CONCLUSION: Perioperative ABT does not predispose to a higher rate of BCR in patients after RP.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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 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".