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Record W2394195020

Effects of migraine on cognitive function in middle-aged women

2011· article· en· W2394195020 on OpenAlexaboutno aff
Fang Li

Bibliographic record

VenueJournal of International Neurology and Neurosurgery · 2011
Typearticle
Languageen
FieldMedicine
TopicMigraine and Headache Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMigraineAuraCognitionPsychologyMigraine with auraRecallAudiologyMedicinePsychiatryCognitive psychology
DOInot available

Abstract

fetched live from OpenAlex

Objective To investigate the cognitive function in middle-aged women with migraine.Methods One hundred and eight patients with migraine(50 males,58 females) were enrolled.In the 50 male patients,there were 15 cases of migraine with aura and 35 cases without aura.In the 58 females(48.74±6.61 years old),there were 15 cases of migraine with aura and 43 cases without aura.Montreal Cognitive Assessment Beijing Version was used to assess the cognitive abilities: visual-spatial concepts,naming,memory,attention,verbal fluency,abstraction,delayed word recall and orientation.Results The cognitive abilities in visual-spatial concepts,delayed word recall and abstraction in female migraine patients with aura were significantly lower than in those without aura.The total cognitive ability in female migraine patients was significantly lower than that in male migraine patients.The abstraction ability and the total cognitive ability in female migraine patients with aura decreased significantly compared with those in male migraine patients with aura.Conclusions Migraine affects cognitive function in middle-age women.The abstraction ability is remarkably reduced in female migraine patients with aura.

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)0.000
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 score0.055
Threshold uncertainty score0.281

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.028
GPT teacher head0.249
Teacher spread0.221 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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