Illness intrusiveness and subjective well-being in patients with glioblastoma multiforme.
Bibliographic record
Abstract
2063 Background: Glioblastoma multiforme (GBM) is the most common adult CNS malignancy. The quality-of-life (QOL) impact of its neurological sequelae and poor prognosis is poorly understood. In this study we examined relations between disease severity and mood in GBM patients. Methods: GBM patients (n=73) completed validated questionnaires examining depression (CESD), positive affect (ABS), illness intrusiveness (II), and health-related QOL (EORTC-QLQ30, BN-20). Median age was 53 years (range 26-75), median time since diagnosis was 1.1 years (range 0.1-12.4). 88% were on temozolomide. Questionnaire scores were compared to normative data from GI, GU, Breast, Head and Neck, Lymphoma, and Lung cancer groups using t-tests. Hierarchical multiple regression analyses tested the impact of disease severity indicators (ECOG; Symptoms, derived from QLQ30, BN20) and potential moderators on mood and whether II mediates those effects. Results: GBM patients reported less positive affect, more depression and greater II than other cancer patients (p<.05). Increase in symptoms correlated with greater II (β=.59; 95% CI [.31, .87], p<.0001) and depression (β=.37; 95% CI [.20, .55], p<.0001) and less positive affect (β=-.04; 95% CI [-.08, -.01], p=.02). Surprisingly, higher ECOG (i.e., poorer performance status) was associated with less II (β=-3.58; 95%CI [-7.06, -.10], p=.04) and depression (β=-2.20; 95%CI [-4.21, -.19], p=.03). II partially mediated the relations between disease severity and mood, evidenced by the change in the disease severity coefficient when II was added to the models (mean change measured by bootstrap sampling: CESD=.23, 95% CI [.06, .43]; ABS=.21, 95%CI [.02, .44]). The occurrence of other stressful life events was associated with II (β=2.73; 95% CI [.43, 5.02], p=.02), but there was no evidence of a moderating effect on this or any other relationship (p>.05). Conclusions: GBM patients are more distressed than other cancer patients. GBM-induced lifestyle disruptions partially mediate the association between disease severity and subjective well-being. Efforts to engage patients in valued activities and interests, despite the constraints, can help to preserve QOL.
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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 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".