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Record W2889700822 · doi:10.1111/head.13380

Chronic Migraine – Evolution of the Concept and Clinical Implications

2018· article· en· W2889700822 on OpenAlexaff
Ioana Medrea, Suzanne Christi

Bibliographic record

VenueHeadache The Journal of Head and Face Pain · 2018
Typearticle
Languageen
FieldMedicine
TopicMigraine and Headache Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMigraineChronic MigraineHeadachesMedicineEtiologyPopulationDiseaseOperationalizationChronic diseasePhysical therapyPediatricsIntensive care medicinePsychiatryInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: The current definition of chronic migraine is relatively new. This definition has been field tested multiple times and has gone through multiple revisions. The evolution of the concept of migraine and its transformation to involve the category of chronic migraine is outlined. DISCUSSION: Chronic migraine as a disease was initially recognized in patients seen in headache clinics with a large burden of disability from frequent headaches and a history of prior migraines. Over time, this observation was operationalized into multiple diagnostic criteria with requirements for frequent headache days, typically 15 or more, and additionally a certain predisposition to migraine phenotype whether counted in number of headaches with migrainous features or a transformation from migraine in certain diagnostic criteria. In addition, the observation of medication overuse in this population raises a valid question - whether this is a factor for chronification versus a separate secondary headache etiology. CONCLUSION: Chronic migraine is a relatively newly recognized disease. We have an increasing number of medications studied specifically in chronic migraines, and these are briefly introduced. Additionally, there are guidelines to help design trials in chronic migraine. A valid future research question is to further study the efficacy of the medications studied in an undifferentiated migraine population, as there is economic pressure to use these medications as first line.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.218
Threshold uncertainty score0.311

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.035
GPT teacher head0.353
Teacher spread0.318 · 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

Citations20
Published2018
Admission routes1
Has abstractyes

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