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Record W1940088739 · doi:10.1093/pch/14.1.24

The evaluation and management of paediatric headaches

2009· article· en· W1940088739 on OpenAlexaffabout
J. M. Dooley

Bibliographic record

VenuePaediatrics & Child Health · 2009
Typearticle
Languageen
FieldMedicine
TopicMigraine and Headache Studies
Canadian institutionsIzaak Walton Killam Health CentreDalhousie University
Fundersnot available
KeywordsHeadachesMedicineMigrainePediatricsSumatriptanIntensive care medicineAnesthesiaSurgeryInternal medicine

Abstract

fetched live from OpenAlex

The management of patients with headaches is a major component of every paediatric practice. In a nationally representative sample of Canadian adolescents, it was found that 26.6% of those 12 to 13 years of age and 31.2% of those 14 to 15 years of age reported that they experienced headaches at least once per week.The diagnosis of headaches in children and adolescents is established through a headache history in the vast majority of patients. Specific questions can identify those at most risk for headaches secondary to underlying pathology. Similarly, the examination should be tailored to identify those who require further investigation. Investigations are not routinely indicated for paediatric headache, but neuroimaging should be considered in children whose headaches do not meet the criteria for one of the primary headache syndromes and in those with an abnormal neurological examination.The optimal treatment of primary headaches should begin with nonpharmacological methods. Preventive pharmacological therapy should be considered when headaches significantly impair the patient's quality of life. Flunarizine may be valuable in paediatric headache prevention, and ibuprofen, acetaminophen and nasal sumatriptan may be effective in the acute management of 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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.874
Threshold uncertainty score0.344

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.339
Teacher spread0.306 · 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 teacher head, 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

Citations28
Published2009
Admission routes2
Has abstractyes

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