Mixed Migraine and Tension-type: A Common Cause of Recurrent Headache in Children
Bibliographic record
Abstract
OBJECTIVE: Determine relative frequency of recurrent headache (HA) types in children and adolescents referred to a pediatric neurologist. STUDY DESIGN: Prospective, sequential, and observational. SETTING: Private practice Pediatric Neurology Clinic in a Canadian city (Winnipeg). Patients and data collection: Information on those referred with HA between September 1998 and December 2001 was entered on data sheets. Patients were followed up for one month to four years. RESULTS: Three hundred and twenty (69%) of 463 referred with HA had recurrent HA. There were 172 males (54%) and 148 (46%) females. Their ages ranged from two years to 19 years (median: 11 years). They had had their HA disorder for one month to 14 years (median: two years) prior to assessment. Migraine was the main HA type in 124 (38%), tension-type headache (TTH) in 57 (18%) and mixed migraine and TTH in 101 (32%). Thus, 101 (45%) of 225 with migraine as one HA type also had TTH. CONCLUSIONS: Tension-type headache and migraine frequently co-exist and may represent a distinct headache type, at least in children; the association will likely influence response of affected children and adolescents to specific migraine treatments in clinical trials or practice.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".