Evaluation of neuropsychiatric symptoms in patients with multiple sclerosis
Bibliographic record
Abstract
Purpose: The aim of this study was to comprehensively assess the neurophyschiatric symptoms of multiple sclerosis (MS) such as apathy and pseudobulbar affect and their correlation with other concomitant factors. Materials and Methods: Montreal Cognitive Assessment (MoCA), Apathy Evaluation Scale (AES), Fatigue severity scale (FSS), Center for Neurologic Study-Lability Scale (CNS-LS), Beck Depression Inventory (BDI) are applied to 258 MS patients. Correlation and regression analysis are conducted between scales and other possible causers. Results: 53.6% of the patients have psuedobulbar affect, 76.2% of patient population have fatigue. Pseudobulbar affect had positive correlation with fatigue and also depression while apathy negatively correlate with pseudobulbar affect or fatigue. Additionally, apathy and depression correlated negatively. There was no relation between cognition and depression and/or disease duration and/or other scales’ scores. Conclusion: Pseudobulbar affect and apathy are quite common symptoms in MS patients, that are cross-cutting issues. Also, apathy may be an independent neuropyschiatric symptom of MS that need to be approached separately.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".