Family resources moderate the relationship between seizure control and health‐related quality of life in children with drug‐resistant epilepsy
Bibliographic record
Abstract
OBJECTIVE: Pediatric drug-resistant epilepsy (DRE) is associated with poor health-related quality of life (HRQOL). Achieving seizure control, however, does not improve HRQOL in all children. This study sought to evaluate whether (1) baseline caregiver and family factors are associated with child HRQOL at 1-year follow-up over and above epilepsy characteristics, treatment, and seizure outcome; and (2) baseline family factors moderate the association between seizure outcome and child HRQOL at 1-year follow-up. METHODS: This multicenter longitudinal cohort study recruited 152 children with DRE who were being evaluated for surgical candidacy. Child HRQOL was rated by caregivers using the Quality of Life in Childhood Epilepsy Questionnaire at baseline and 1-year follow-up. Additional data collected at baseline included child epilepsy characteristics, caregiver demographics, caregiver mood, and family environment. RESULTS: = .04. Family resources moderated the association between seizure outcome and child HRQOL at follow-up (b = .41, 95% confidence interval [CI] = 0.09-0.74, P = .03); seizure freedom was strongly associated with higher HRQOL when family resources were high (b = 13.50, 95% CI = 8.35-18.54, P < .001), relative to when family resources were low (b = 5.17, 95% CI = -0.18 to 10.52, P = .06). Family relationships and demands did not moderate the relationship between seizure outcome and HRQOL. SIGNIFICANCE: Achieving seizure freedom was associated with better HRQOL in children with DRE, but this association was reduced for those children who presented with limited family resources. These results highlight the importance of assessing the family environment during presurgical evaluation and implementing early family-based intervention and supports to promote better outcomes for children in the long term.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".