Fatigue and Depression in Children With Demyelinating Disorders
Bibliographic record
Abstract
Fatigue and depression have been shown to be significant problems in children with multiple sclerosis. The rate at which these conditions occur in children with other acquired demyelinating syndromes is unknown. In this cross-sectional study, the authors evaluated 49 children with demyelinating disorders (multiple sclerosis and acute disseminated encephalomyelitis) and 92 healthy controls for depression and/or fatigue using the Behavior Assessment System for Children, Second Edition behavior and mood rating scale and Varni PedsQL Multidimensional Fatigue Scale. The parents of acquired demyelinating syndrome patients were more likely to report elevated depressive symptoms (30.8% vs 10.8%, P = .008). Elevated parent and self-reported total fatigue (25% vs 0%, P < .001, 26.7% vs 8.6%, P = .024) was seen in the patient cohort. The authors conclude that fatigue and depression are far more common in children with acquired demyelinating syndromes than in controls. Clinical attention to and implementation of effective therapies oriented toward these conditions in children with acquired demyelinating syndromes is needed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".