The utility of ketogenic diet therapy in the management of epileptic spasms: A systematic review and meta-analysis
Bibliographic record
Abstract
OBJECTIVE: We systematically reviewed the existing literature on the efficacy of the ketogenic diet (KD) in patients with epileptic spasms (ES) and analyzed predictors of seizure outcomes. METHODS: The Preferred Report Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines were followed. The primary outcome was the proportion of patients achieving 50-99 % spasm reduction at 3 months following KD initiation. Additional outcomes included the proportion of patients achieving complete spasm freedom at 1, 3, and 6 months. Meta-regression was employed to examine clinical determinants of seizure outcomes. RESULTS: Twenty-two studies (n = 1077 individuals) were included. There were 607 males (62.2 %) and 369 females (37.8 %) (k = 16 studies). The mean age of KD initiation was 16 months (SD: 5.4, range: 8.4-23 months) (k = 11 studies). Epilepsy etiology was reported in 453 individuals (k = 15 studies), 297 (65.6 %) had a known etiology and 156 (34.4 %) were unknown. Structural (n = 178, 59.9 %) and genetic/metabolic (n = 80, 26.9 %) causes were common. Most received the classic ketogenic diet (n = 975/1077, 90.5 %) and 102 patients (9.5 %) received the modified Atkins diet (MAD). At 3 months, 48 % (95 % CI: 40 %, 57 %) achieved a 50-99 % spasm reduction and 25 % (95 % CI: 17 %, 34 %), achieved spasm freedom. At 6 months, 41 % (95 % CI: 32 %, 50 %) achieved 50-99 % spasm reduction and 25 % (95 % CI: 17 %,35 %), achieved spasm freedom. Meta-regression did not identify predictors of treatment response. CONCLUSION: KD may be an effective treatment option for ES. However, predictors of clinical response were not identified, highlighting the need for larger studies to better understand them and long-term outcomes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| 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 teacher head, 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".