Reduction of interictal epileptic burden by pulsatile corticoid therapy in children with drug‐resistant epilepsy—How stable is the effect?
Bibliographic record
Abstract
OBJECTIVE: The systematic use of pulsatile corticosteroid therapy (PCT) in children with drug-resistant epilepsy has been shown to reduce epileptic activity. However, it remains unclear how long this effect will last. The objective of this study was therefore to evaluate the stability of the effect of PCT by assessing the interictal epileptic activity burden (% of electroencephalography (EEG) with interictal epileptic activity, IEA) one year after the end of treatment. METHODS: body surface per treatment cycle). EEG recordings during sleep and wakefulness were obtained at baseline, after PCT, and at one-year follow-up. IEA burden and sleep spindles (rate per minute) to evaluate sleep physiology were compared between the different time points. RESULTS: IEA burden was significantly reduced after PCT treatment (4.9% [2.4-20.4] vs. .9% [.2-5.5], p = .005, d = -.47) and this effect continued to persist at follow-up (.9% [.2-5.5] vs. 2.7% [.2-7.4], p = .99, d = .02). At time of follow-up, 33.3% patients showed a relapse defined by an increase in IEA burden after an initial decrease of at least 50% through PCT. Fast spindle rate (12-16 Hz) tended to be higher after PCT (1.0 ± .8 vs. 1.6 ± .8, p = .08, d = .59) and remained stable between the end of PCT and follow-up (1.6 ± .8 vs. 1.6 ± .4, p = .98, d = .01). SIGNIFICANCE: Our findings suggest that in the majority of patients, PCT led to long-lasting benefits not only by reducing epileptic activity but also by improving sleep, important for cognitive functions.
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".