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Record W2116508702

Effectiveness of riboflavin in pediatric migraine prevention.

2014· article· en· W2116508702 on OpenAlexaff
Michelle Sherwood, Ran D. Goldman

Bibliographic record

VenuePubMed · 2014
Typearticle
Languageen
FieldMedicine
TopicMigraine and Headache Studies
Canadian institutionsBC Children's Hospital
Fundersnot available
KeywordsMigraineRiboflavinHeadachesMedicineMigraine DisordersPediatricsPsychiatryFood science
DOInot available

Abstract

fetched live from OpenAlex

QUESTION: The rate of migraine diagnosed among children is increasing. Is riboflavin, an alternative to traditional pharmacologic agents, effective and safe for prevention of migraine in children? ANSWER: Because migraine is a very common condition in childhood and adolescence, often contributing to substantial burden of illness, there is increased interest in alternatives to traditional pharmacologic prevention. The expectation is that over-the-counter alternative medication will be less toxic, better tolerated, and have fewer side effects. A few studies in adults show that riboflavin (vitamin B2) might decrease frequency of migraine headaches. It has become common practice to recommend that children try riboflavin to prevent migraine; however, research on riboflavin use in children is inconclusive.

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)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.017
GPT teacher head0.262
Teacher spread0.245 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations14
Published2014
Admission routes1
Has abstractyes

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