Changes in caregiver depression, anxiety, and satisfaction with family relationships in families of children who did and did not undergo resective epilepsy surgery
Bibliographic record
Abstract
OBJECTIVE: To evaluate longitudinal changes in caregiver depression, anxiety, and family relationships following resective surgery for pediatric drug-resistant epilepsy (DRE). METHODS: This multicenter cohort study involved 177 caregivers of children with DRE aged 4-18 years (63 surgical and 114 nonsurgical). Caregivers completed measures of depression (Quick Inventory of Depressive Symptomatology), anxiety (Generalized Anxiety Disorder 7-item scale), and satisfaction with family relationships (Family Adaptability, Partnership, Growth, Affective, and Resolve scale) at baseline, 6 months, and 1 year. Additional data collected at baseline included child, caregiver, and family sociodemographic and clinical factors as well as family environment (demands and resources). RESULTS: At 1 year, 64% and 27% of surgical and nonsurgical patients were seizure-free, respectively. Linear mixed-effects models found a reduction in caregiver depression (b = -0.85, P = .004) and anxiety (b = -1.09, P = .003), but not family satisfaction (b = 0.18, P = .31) over time. There was no effect of treatment. When seizure outcome was added to the model, seizure freedom was associated with fewer depressive symptoms (b = -1.15, P = .005) and greater family satisfaction (b = 0.65, P = .006), but not anxiety (b = -0.41, P = .42). A greater proportion of caregivers of patients who achieved seizure freedom (32%) versus continued seizures (18%) reported clinically meaningful improvement in depression at 1 year (P = .03). Lower baseline depression (β = 0.42, P < .001), greater family resources (β = -0.18, P = .04), and male caregiver (β = 0.15, P = .02) predicted lower caregiver depression, and lower baseline anxiety (β = 0.47, P < .001), greater family resources (β = -0.24, P = .01), and higher education (β = -0.13, P = .04) predicted lower caregiver anxiety at 1 year. Baseline functioning was the only predictor of family relationships at 1 year (β = 0.49, P < .001). SIGNIFICANCE: Caregivers of children who achieved seizure freedom, irrespective of surgical treatment, report fewer depressive symptoms and greater satisfaction with family relationships. Baseline functioning is the strongest predictor of outcome; however, caregivers of families with fewer resources and supports are also at risk of poor psychosocial outcomes.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".