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Enregistrement W2030897062 · doi:10.1177/0333102410385583

Weather and migraine: Can so many patients be wrong?

2010· editorial· en· W2030897062 sur OpenAlex

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Notice bibliographique

RevueCephalalgia · 2010
Typeeditorial
Langueen
DomaineMedicine
ThématiqueMigraine and Headache Studies
Établissements canadiensAlberta Health Services
Organismes subventionnairesnon disponible
Mots-clésMedicineMigraineMigraine DisordersPsychiatry

Résumé

récupéré en direct d'OpenAlex

A migraine trigger is a factor which temporarily increases the probability that a migraine headache will occur, and many individuals with migraine blame certain weather conditions for initiating at least some of their migraine attacks (1,2). Some consider weather changes to be their most important headache trigger and even go so far as to refer to themselves as ‘human barometers’. A large, recent, clinic-based study of patient perceptions has indicated that 53% of migraine patients perceive that weather triggers their headaches at least occasionally, and 11% felt that weather triggered at least two-thirds of their headache attacks (2). The perception that weather can trigger headaches is not limited to patients with migraine; a substantial proportion of patients with tension-type headache also report weather as a headache trigger (3,4). While it might be argued that patient self-report of headache triggers from surveys based on memory of past events might be unreliable, data based on patient diaries where patients recorded the factor they felt was responsible for their headaches on a daily basis have given similar results (5). A population-based diary study in France performed in this manner indicated that 35% of migraine sufferers felt that weather had triggered at least some of their attacks. Of interest, similar to a clinic-based study (3), it was found that weather was reported as a headache trigger by a higher proportion of migraine patients as compared to patients with other headache types (35% vs 18%; P< 0.05) (5). On the other hand, in another clinic-based survey study of relatively severely affected headache patients, 45.5% of migraine patients listed weather changes as a headache trigger, and this was not different from patients with tension-type headache (48%) (6). In patients drawn from the general population, Rasmussen (4) found, perhaps surprisingly, that a higher proportion of people with tension-type headache reported weather as a headache trigger than did individuals with migraine. Clearly, when it comes to weather, many patients including both those with migraine and those with tension-type headache consider it to be a factor in triggering their attacks. Yet a very sophisticated recent study by Zebenholzer et al. (7) was unable to show any major connection between weather conditions and migraine occurrence. Although some association was shown between wind speed and day-to-day change of daily sunshine duration and migraine occurrence, none of these associations remained statistically significant after correcting for multiple testing by means of a Bonferroni correction (only P-values of <0.0018 were considered significant). The conclusion of the authors was that: ‘The influence of weather factors on migraine and headache is small and questionable’. Some previous studies which tried to identify weather factors as migraine triggers have also been negative (8,9). Others have shown at least some associations between certain weather conditions and migraine occurrence (10–15), but no consistent picture of which weather-related factors are important migraine triggers has emerged. Can so many migraine patients be wrong? Or is there another reason why research to date has been unable to measure the apparently robust association between weather and migraine attacks that so many of our patients tell us exists? Is the problem with the patients or with the research? Pertinent to this discussion is that a number of studies have found little correlation between whether patients think they are weather sensitive, and whether they actually are based on research results. Although Prince et al. (10) found that 50.6% of patients in their study were weather sensitive, there was no significant difference in the degree of weather sensitivity found

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,129
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,007
Tête enseignante GPT0,261
Écart entre enseignants0,254 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle