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Medium‐chain triglyceride (MCT) ketogenic therapy

2008· review· en· W2017729480 on OpenAlexaff
Y.C. Liu

Bibliographic record

VenueEpilepsia · 2008
Typereview
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsMedium-chain triglycerideKetogenic dietKetosisMedicinePalatabilityVomitingDiarrheaTriglycerideEpilepsySide effect (computer science)PediatricsInternal medicineGastroenterologyEndocrinologyCholesterolPathologyPsychiatry

Abstract

fetched live from OpenAlex

The medium-chain triglyceride diet (MCTD) is a variant of the classic 4:1 ketogenic diet (KD) introduced in 1971 by Huttenlocher as an attempt to improve the palatability of the KD by allowing more carbohydrates yet preserving ketosis. Although initially found to be equally effective as the classic KD, use of the MCTD declined because of frequent gastrointestinal side effects such as cramps, diarrhea, and vomiting. Recently, we have used the MCTD in more than 50 patients. We have found excellent seizure control, similar to the classic KD, and with careful monitoring, we have encountered minimal side effects. The MCTD should remain a viable dietary option for children with refractory epilepsy who have large appetites, can tolerate more calories, or cannot accept the restrictions of the classic KD.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.002

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.

Opus teacher head0.080
GPT teacher head0.354
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations104
Published2008
Admission routes1
Has abstractyes

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