Deterioration in the health-related quality of life of persons with multiple sclerosis: the possible warning signs
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Baseline data from a population-based study examining the health-related quality of life (HRQL) of MS patients about to begin disease modifying therapy was used to determine the factors associated with the HRQL of Saskatchewan adults with relapsing-remitting MS. Participants completed a self-report questionnaire regarding demographic and socioeconomic status, fatigue, comorbid medical conditions, disability level (EDSS), number of attacks in past 6 months, illness intrusiveness (Illness Intrusiveness Ratings Scale), depression (Beck Depression Inventory), and HRQL (SF-36 Health Status Survey). Multiple linear regression models were used to identify the factors associated with the physical and mental health summary scores of the SF-36. We found poorer physical HRQL in those who are female; older; not working; have musculoskeletal or respiratory problems; greater fatigue, higher disability scores, and more MS attacks. High illness intrusiveness; digestive system problems; genitourinary problems; and headaches were associated with poorer mental HRQL. Interestingly, we found an interaction between sex and age in mental HRQL, with worse mental health in older men but better mental health in older women. These findings may assist health care providers in identifying patients who may be at risk for decline in their HRQL, permitting appropriate and timely interventions.
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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 | 0.011 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it