A prognostic score for patients with metastatic castration-resistant prostate cancer treated with abiraterone acetate post chemotherapy.
Bibliographic record
Abstract
70 Background: We aimed to establish a simple prognostic score for men with mCRPC treated with abiraterone following docetaxel and explored incorporation of the neutrophil/lymphocyte ratio (NLR), a marker of host inflammation with prognostic value in many solid tumors. Methods: To develop the model, clinical and laboratory factors for 185 men treated at Royal Marsden were included in a univariable Cox regression analysis. Statistically significant variables were dichotomized using an optimal cut-off chosen by selecting the highest c-index among three potential cut-offs with high Hazard Ratios (HR). All significant variables in univariable analysis were analyzed using multivariable Cox analysis. One risk point was assigned for each variable with a P value of <0.05 in multivariable analysis and the risk points were used to establish three prognostic groups of similar prevalence. The validity of the model is being examined using the large data-set from the abiraterone registration trial (COU-AA-301). Results: Median age was 69 years, 41% had both bone and lymph node metastases (BLN), 15% had visceral disease. Involvement of BLN or visceral disease (HR 1.6, P=0.013), ALP >2.0 x ULN (HR 1.7, P=0.005), LDH >1.5 x ULN (HR 3.4, P<0.001), Hgb <12 g/dL (HR 2.1, P<0.001), and NLR >5 (HR 1.5, P=0.033) were associated with worse OS in the multivariable analysis. Outcomes for three risk groups using these 5 factors are presented in the table. The c-index was 0.73 (95% CI 0.65 - 0.80) for the prognostic score. Patients with NLR >5 at baseline and whose NLR was ≤5 within four weeks of treatment also had longer median survival (15.1 months) than those with NLR >5 at baseline that remained high (median OS 7.6 months, HR 0.48, 95% CI 0.25-0.93, P=0.029). Conclusions: This initial simple risk score provides good prognostic and discriminatory accuracy for men with mCRPC. Data from the validation cohort will be presented. [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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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".