NCOG-30. ENVIRONMENTAL ENRICHMENT AND HEALTH OUTCOMES AFTER RADIATION
Bibliographic record
Abstract
Abstract Individuals treated with brain radiation (RT) are at a disproportionately increased risk of accelerated aging and symptom burden. The aim of this abstract is to describe the health outcomes experienced by brain tumor (BT) survivors who received Photon (XRT) and Proton-Beam (PBRT) in relation to levels of environmental enrichment (EE). The study employed a cross-sectional cohort design among persons with glioma (WHO Grade 2 and 3) treated with RT approximately 5 years following diagnosis. EE consists of social network/engagement, physical activity, and employment status/financial stability measured by the Berkman-Syme Social Network Index, International Physical Activity Questionnaire, Vocational Index Scale, and two Socioeconomic Questions, respectively. EE level is classified into low, moderate, or high tertile. Montreal Cognitive Assessment measured cognitive function. Cortical atrophy is measured using temporal brain MRI images from the time of diagnosis, 3 years after, and at the time of enrollment. Images were processed using FreeSurfer. MD Anderson Symptom Inventory – BT module was used to measure functional status. Two-Way ANOVA described the health outcomes among individuals who received XRT and PBRT. Thirty-nine participants, 18 with astrocytoma and 19 with oligodendroglioma, completed the study protocol. Eighteen individuals received XRT (5 were categorized into Low EE, 10 to Moderate EE and 3 had High levels of EE) and 21 received PBRT (8 were categorized into Low EE, 7 had Moderate EE and 6 had High EE). Individuals who received XRT and had High levels of EE had higher scores in MoCA, lower cortical atrophy rate, and lower symptom burden than individuals who had Moderate and Low EE. BT survivors are at an increased risk of accelerated aging and progressive neurological decline. Providing an enriched environment may serve to reduce symptom burden, promote healthy brain aging, and improve cognitive and functional status in BT survivors receiving radiation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".