Can Children With Hyperlipidemia Receive Ketogenic Diet for Medication-Resistant Epilepsy?
Bibliographic record
Abstract
The very-high-fat ketogenic diet can worsen lipid levels in children with pre-existing hyperlipidemia by increasing serum lipoproteins and reducing antiatherogenic high-density lipoproteins. A retrospective chart review of 160 children treated with the ketogenic diet from September 2000 to May 2011 was performed. Twelve children with pre-existing hyperlipidemia were identified. Lipid levels including total cholesterol, low-density lipoprotein, triglycerides, high-density lipoprotein, and total cholesterol/high-density lipoprotein were measured pre-diet and at 3, 6, and 12 months of treatment. During treatment, there was a significant reduction in mean total cholesterol, low-density lipoprotein, and total cholesterol/high-density lipoprotein. Total cholesterol and low-density lipoprotein were normalized in 8 and 7 children at 6 months; and 9 and 9 children at 12 months respectively. At 6 and 12 months, tot cholesterol/HDL ratio was normalized in 5 and 7 children respectively. Diet modifications were made to achieve healthy lipid levels. By extrapolating the data, it suggests lipid levels can be controlled in children and adults with ketogenic diet treatment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".