Cancer-related cognitive dysfunction (CRCD) and psychosocial development in young adult cancer survivors.
Bibliographic record
Abstract
TPS9636 Background: Chemotherapy is associated with long-lasting neurocognitive sequelae and structural and functional brain imaging changes in about 25% of older adults who do not receive central nervous system (CNS) directed treatment. This suggests that cancer or its treatment affects the brain regardless of primary tumor site. Because the brain continues to develop into the 3rd decade of life, younger adults (YA; age 18-39 yrs) may be vulnerable to CRCD. Cancer also disrupts acquisition of developmental milestones in YA. CRCD may exacerbate those disruptions, but this has never been studied. Study aims are to characterize CRCD in YA, explore its relation to psychosocial development, and identify subgroups at risk of adverse outcomes. Methods: In this prospective, inception-cohort study, we are recruiting YA who do not require CNS-directed therapy from ambulatory clinics at the Princess Margaret Cancer Centre (leukemia, lymphoma, breast, gynecology, gastrointestinal, genitourinary, sarcoma) and the YA Oncology clinic at the Jewish General Hospital: 200 YA with cancer who require chemotherapy, 100 YA with cancer who do not require it, and 100 healthy YA with no cancer history. As of Jan 30 2015, 113 participants were enrolled. Chemotherapy patients are assessed prior to treatment, and then 6 and 12 months later. The other groups are assessed at similar time intervals. The 2-hr test battery consists of standardized neurocognitive tests sensitive to CRCD and validated self-report psychosocial measures. Repeated measures mixed effects models will be used to examine longitudinal changes in each of the neurocognitive domains and each of the psychosocial development scores, using the predicted residual sum of squares method to avoid interpretation problems associated with repeated testing. Relationships between CRCD, psychosocial development, treatment, cancer type, and individual characteristics will be examined using regression. Exploratory analyses will investigate whether demographic, disease, or treatment factors contribute to longitudinal changes. Results will provide the basis for interventions that alleviate the psychosocial and cognitive sequelae in this underserved population.
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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 | 0.000 | 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 | 0.001 | 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".