Fatigue and Cognition in Patients with Relapsing Multiple Sclerosis Treated with Interferon Beta
Bibliographic record
Abstract
INTRODUCTION: Fatigue and cognitive deficits are common symptoms affecting patients with multiple sclerosis. METHODS: The effects of interferon beta on fatigue and cognitive deficits were assessed in 50 patients with relapsing multiple sclerosis (recruited at a single center). The pre-treatment assessments were performed on visits 1 and 2 (Months 0 and 3). Patients started treatment with subcutaneous interferon beta-1a or beta-1b, or intramuscular interferon beta-1a at Month 3, with reassessment at visits 3 and 4 (6 and 12 months, respectively). Co-primary endpoints were change in fatigue (Modified Fatigue Impact Scale) and change in cognition (Brief Repeatable Battery of Neuropsychological Tests) from pre-treatment to visits 3 and 4. Follow-up data were obtained for 40 patients. RESULTS: The pre-treatment demographic and disease characteristics did not differ between groups. Improvements in fatigue levels were reported for patients receiving subcutaneous interferon beta-1a versus patients in the intramuscular interferon beta-1a group (p = .04) and in the interferon beta-1b group (p = .09). Improvements were also reported in five out of 17 cognitive indices for all the treatment groups. CONCLUSION: The data suggest that interferon beta may reduce fatigue and cognitive deficits in patients with relapsing multiple sclerosis. Larger, randomized, and controlled studies are required to confirm our findings.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".