Effect of exclusion of frequently consumed dietary triggers in a cohort of children with chronic primary headache
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Although dietary factors are known to trigger headaches, the relationship between food and headache in children remains unclear. This prospective, observational case series aimed to evaluate the effect of exclusion of frequently-consumed foods in a cohort of children with headache. METHODS: One hundred and fifteen children aged 3-15 (mean 10.5) years with primary headache were followed in a paediatric outpatient clinic. Patients who frequently consumed foods or food additives known to trigger headaches were advised to exclude them for six weeks and to return for follow-up with headache and food diary. RESULTS: One hundred patients attended follow-up. Of these 13 (13%) did not respond to dietary exclusion; 87 (87%) achieved complete resolution of headaches by exclusion of 1-3 of the identified food(s). Caffeine was the most common implicated trigger (28), followed by monosodium glutamate (25), cocoa (22), aspartame (13), cheese (13), citrus (10) and nitrites (six). One patient was sensitive to tomatoes. CONCLUSIONS: This study demonstrates the potential scale and significance of seven frequently consumed foods or food additives as triggers for primary headache in children. Also this is the first study to show that headaches can be triggered by the cumulative effect of a food that is frequently consumed, rather than by single time ingestion.
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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 | 0.001 | 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 it