The effect of docetaxel, enzalutamide, abiraterone, and radium-223 on cognitive function in older men with metastatic castrate-resistant prostate cancer (mCRPC).
Bibliographic record
Abstract
73 Background: Older adults are at greater risk of cognitive decline with various oncologic therapies. Emerging data suggest cognitive effects of various therapies for mCRPC but study populations are highly selected and published data are limited and focus mostly on self-reported cognitive function. We evaluated the effects of treatment with docetaxel chemotherapy (CHEMO), abiraterone (ABI), enzalutamide (ENZA), and radium 223 (Ra223) on cognitive function in older men with mCRPC. Methods: Men age 65+ with mCRPC starting any of the 4 treatments for mCRPC were enrolled in this multicenter prospective cohort study. Three short yet reliable and sensitive measures in older adults were administered at baseline and final visit (6 months with CHEMO and Ra223, mean 14-16 months with ENZA and ABI) using the Montreal Cognitive Assessment (MoCA), Trails A, and Trails B to assess global cognition, attention, and executive function, respectively. Absolute changes in cognitive scores over time were analyzed using multivariable linear regression, and the percentage of individuals with a decline of 1.5 SD in each domain were calculated. Higher scores on MoCA are better but worse for Trails A/B. Results: A total of 51, 26, 49, and 21 men starting CHEMO, ABI, ENZA, and Ra223 with complete data were included. Mean age, education, and baseline cognition were similar between groups (Table). Most patients demonstrated stable cognition or slight reductions. Executive function was the most sensitive of the 3 cognitive domains, and declined by at least 1.5 SD in about one-fifth of each cohort. Although ABI had numerically smaller declines than ENZA, differences were generally small and clinically unimportant. Conclusions: Most older men do not experience significant cognitive decline while on treatment for mCRPC regardless of treatment used.[Table: see text]
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".