Alexithymia in multiple sclerosis: relationship with fatigue and depression
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
OBJECTIVE: The aim of this study was to investigate the prevalence of alexithymia in a sample of patients with multiple sclerosis (MS) and to further evaluate the association between alexithymia and the occurrence of common disabling MS-related symptoms such as fatigue and depression. METHODS: Fifty-eight relapsing-remitting MS patients treated with interferon (IFN)-beta-1a underwent a complete neurological evaluation, including Expanded Disability Status Scale score assessment. Alexithymia, depressive symptoms and fatigue were assessed using the 20-item Toronto Alexithymia Scale, Beck Depression Inventory and Fatigue Severity Scale. RESULTS: Prevalence of alexithymia was 13.8%, with 27.6% of patients presenting borderline alexithymia. Sixty-seven per cent of the patients complained of fatigue while 29.3% of them were depressed. Higher levels of fatigue and depression were found in alexithymic patients when compared with non-alexithymic patients. Results from logistic regressions showed that alexithymia significantly contributes to the severity of fatigue and depression. CONCLUSIONS: Alexithymia was associated with increased severity of fatigue and depression.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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