Pediatric-onset multiple sclerosis is associated with reduced parental health–related quality of life and family functioning
Bibliographic record
Abstract
Background: Diagnosis of multiple sclerosis (MS) during childhood has the potential to impact the affected child’s self-perception and the health-related quality of life (HRQoL) of the family. Objective: To evaluate the impact of chronic disease, in children ascertained as having MS and their families, when compared to those with monophasic acquired demyelinating syndrome (monoADS). Methods: In a national prospective cohort study of pediatric acquired demyelinating syndromes (ADS), the HRQoL of children and their families was captured using the Pediatric Quality of Life Inventory (PedsQL ™ ) Modules. Results: Participants (58 MS; 178 monoADS) provided cross-sectional HRQoL data a median (interquartile range (IQR)) of 4.1 (2.0–6.0) years after disease onset. The HRQoL of parents of children with MS and their family functioning was lower when compared to that of parents and families of children with monoADS (both p < 0.001); parents of children with MS reported greater emotional dysfunction, worry, worse communication, and lower family functioning irrespective of clinical disease activity. Self-reports of the MS and monoADS participants did not suggest a difference in overall HRQoL or fatigue after adjusting for age of the child at the time of assessment. Conclusion: While children with MS did not self-report lower HRQoL compared to children who experienced monoADS, the diagnosis of MS during childhood was negatively associated with parental HRQoL and family functioning.
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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 | 0.001 | 0.004 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".