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Chronic Paroxysmal Hemicrania‐like Headaches in a Child: Response to a Headache Diary

2000· article· en· W1991696834 on OpenAlexaff
Brian D. Klassen, Joseph M. Dooley

Bibliographic record

VenueHeadache The Journal of Head and Face Pain · 2000
Typearticle
Languageen
FieldMedicine
TopicMigraine and Headache Studies
Canadian institutionsIzaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsHeadachesMedicinePediatricsCluster headacheAnesthesiaMigrainePsychiatry

Abstract

fetched live from OpenAlex

Chronic paroxysmal hemicrania and cluster headache are both characterized by recurrent, severe, unilateral headaches accompanied by symptoms and signs of autonomic dysfunction. They are differentiated by the frequency, duration, and medication responsiveness of the headaches. Both occur in childhood, although such reports are rare. A 6-year-old boy presented with chronic paroxysmal hemicrania-like headaches. Through the use of a headache diary, his headaches were found to follow stressful events and resolved shortly after the introduction of the diary. Precipitation of chronic paroxysmal hemicrania-like headaches by stress has not been previously reported. We recommend the use of a headache diary as both an aid to diagnosis and an initial nonpharmacological therapeutic intervention for children with such headaches.

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)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.016
GPT teacher head0.278
Teacher spread0.262 · 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 designCase report
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

Citations19
Published2000
Admission routes1
Has abstractyes

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