Retrospective analysis of fatigue in men with metastatic castration-resistant prostate cancer treated with enzalutamide.
Bibliographic record
Abstract
374 Background: Enzalutamide (E) improves survival in men with metastatic castration-resistant prostate cancer (mCRPC). Fatigue (F) while taking E is poorly understood and may limit the use of this life-prolonging drug. Methods: All men treated with E for mCRPC at Princess Margaret Cancer Centre from August 2010 and July 2016 were included. Relevant factors collected, include age, ECOG, Charleston Comorbidity Index, disease characteristics, prior therapies, concomitant medications, and details regarding E treatment and response. Univariate (UVA) and multivariate (MVA) analysis were performed using logistic regression. Results: 415 men started E for mCRPC during this period. Median age at diagnosis was 66 years (range 42-94) and median time to castration-resistance (TTCR) was 113 days. Prior therapies included docetaxel (21%) and abiraterone (26%). Bone was the most common site of metastasis (76%) followed by lymph nodes (45%) and visceral (20%). Concurrent corticosteroid use was 18% and PSA response (≥50%) rate was 55%. Median duration on E was 224 days. F on E occurred in 178 patients (43%) and 56 (13%) men required a dose-reduction due to F. 26 men (6%) stopped E due to F (Table). Conclusions: F is an important and common side effect of E in men with mCRPC. Duration of exposure to androgen deprivation, markers of systemic inflammation (such as increased NLR and platelets) and advanced age appear to be associated with E-related F and difficulty administering drug. There was no association between corticosteroid use and E-related F and difficulty administering drug. [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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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".