Atypical Benign Epilepsy of Childhood With Rolandic Spikes
Bibliographic record
Abstract
The objective of this study was to compare the clinical and electroencephalographic features of two groups of children with benign epilepsy of childhood with rolandic spikes: those in whom seizure control was attained either without the use of medication or with a single medication (group 1) and those requiring two medications for seizure control (group 2). A consecutive series of children with benign epilepsy of childhood with rolandic spikes was identified in a single pediatric neurology practice. Medical charts were then systematically retrospectively reviewed. A total of 66 children with benign epilepsy of childhood with rolandic spikes was identified; 52 (78.8%) required either no medication (n = 7) or a single medication (n = 45) for seizure control, whereas 14 (21.2%) required two medications. The two groups did not differ with respect to gender, age of onset, type (generalized or partial) of initial seizure, or whether EEG abnormalities were unilateral or bilateral. They did differ significantly with respect to the mean number of seizures experienced prior to initiating treatment (group 1, 2.06, versus group 2, 4.36; t = 3.40, P = .005). In those treated (n = 59), the initial medication selected (carbamazepine versus noncarbamazepine) in the two groups was significantly different: group 1, 40 (carbamazepine)/45, versus group 2, 9 (carbamazepine)/14; chi2 = 4.59; P = .03. The difference in frequency between the two groups of associated comorbid conditions (tics, attention-deficit hyperactivity disorder [ADHD], learning disability) almost reached the threshold of statistical significance: group 1, 7/52, versus group 2, 5/14 (chi2 = 3.67, P = .06). A subset of children with benign epilepsy of childhood with rolandic spikes may require more than one medication for effective seizure control. This subset experiences more seizures prior to the initiation of treatment, is more likely to be treated initially with a noncarbamazepine medication, and tends to have a higher frequency of associated conditions.
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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".