Postsurgical Health‐related Quality of Life (HRQOL) in Children Following Hemispherectomy for Intractable Epilepsy
Bibliographic record
Abstract
Health-related quality of life (HRQOL) is an important outcome measure in clinical research. Given the psychosocial and behavioral difficulties associated with pediatric epilepsy, evaluating HRQOL in this patient population is of particular importance. Though HRQOL has been examined in pediatric patients receiving focal resection or pharmacological (antiepileptic drug; AED) treatment, it has not been assessed in patients receiving hemispherectomy (HE) for intractable epilepsy. The current study evaluated HRQOL in a sample of pediatric HE cases (N=26) using previously validated questionnaires relative to surgical (N=30) and nonsurgical (N=84) comparison groups. Compared with focal resection and nonsurgical patients, parents of children who received HE reported similar levels of HRQOL. In surgical cases, worse HRQOL was correlated with residual seizure frequency. In both surgical and nonsurgical cases, female gender, higher AED load, and lower functional independence predicted worse HRQOL. Interestingly, HE status (i.e., having undergone HE) predicted fewer epilepsy-related limitations. Consistent with previous findings, AED load, in addition to lower functional abilities, appear particularly detrimental to life quality in pediatric epilepsy. HE, however, is not associated with increased risk for poor HRQOL. When considered in light of the multiple, significant risk factors for poor outcome associated with HE, children who undergo the procedure fare surprisingly well.
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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 | 0.003 |
| 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 | 0.001 |
| 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".