CALGB 90203 (Alliance): Radical prostatectomy (RP) with or without neoadjuvant chemohormonal therapy (CHT) in men with clinically localized, high-risk prostate cancer (CLHRPC).
Bibliographic record
Abstract
5079 Background: Neoadjuvant CHT followed by RP did not increase 3-year biochemical progression free-survival (bPFS) compared to RP alone in men with CLHRPC. However, there is evidence that bPFS and overall survival over time was improved. In the current analysis we assessed whether CHT followed by RP improved pathological specimen features compared to RP alone. Methods: CALGB 90203 (Alliance) is a Phase III study which randomly assigned, in a 1:1 fashion, men with CLHRPC [biopsy Gleason Grade Group (GGG) 4 or 5 or Kattan pre-op nomogram bPFS < 60%] to RP alone or RP plus neoadjuvant CHT [androgen deprivation plus docetaxel (75 mg/m2 every 3 weeks for 6 cycles)]. We conducted an exploratory analysis comparing histologic findings, determined at the treating center, in the RP specimens of men receiving CHT plus RP and men treated with RP alone. We used the Chi-square test, with P-values adjusted by the Holm method for multiple comparisons. Results: A total of 788 men (median age, 62; range: 32-83 years) were randomized, with 738 ultimately undergoing RP. There was no difference in pathologic GGG (Table). Men treated with neoadjuvant CHT had a lower pathologic T-stage and lower likelihood of having seminal vesicle invasion (SVI), positive pelvic lymph nodes, or positive surgical margins (SM) (Table). Conclusions: Most pathologic features in the RP specimen were improved in men receiving neoadjuvant CHT compared to RP alone. The relationship between pathologic changes and the development of metastasis and survival require further analysis. RP pathologic outcomes. Summary statistics are calculated for the number of patients with non-missing data for each characteristic. Clinical trial information: NCT00430183. [Table: see text]
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".