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Enregistrement W4399918813 · doi:10.1111/head.14770

Plain Language Summary Publication: The 2023 protocol for update to acute treatment of adults with migraine in the emergency department: The American headache society evidence assessment of parenteral pharmacotherapies

2024· article· en· W4399918813 sur OpenAlexaffabout
Jennifer Robblee, Xurong Zhao, Mia T. Minen, Benjamin W. Friedman, Miguel Cortel-LeBlanc, Achelle Cortel‐LeBlanc, Serena L. Orr

Notice bibliographique

RevueHeadache The Journal of Head and Face Pain · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueMigraine and Headache Studies
Établissements canadiensUniversity of CalgaryInstitut du Savoir MontfortQueensway-Carleton HospitalUniversity of OttawaAlberta Children's HospitalCARE CanadaAlberta Health Services
Organismes subventionnairesnon disponible
Mots-clésGuidelineMedicineMEDLINEMigraineEmergency departmentConceptualizationProtocol (science)Cochrane LibraryClinical trialAlternative medicineIntensive care medicineFamily medicineMedical emergencyPsychiatryPathology

Résumé

récupéré en direct d'OpenAlex

Main finding: Since the last guideline that was issued in 2016, we have found new studies about treating severe migraine attacks in the emergency room. This summary outlines our plan to review these studies and update the previous guidelines. Motivation: The American Headache Society Guideline Committee updates its guidelines as needed. Although the 2016 guideline was well done, new information is available that might change our recommendations. Methods: We will conduct an updated review using the same methods as the 2016 guideline. We will search Medline, Embase, Cochrane, clinicaltrials.gov, and the WHO International Clinical Trial Registry Platform. We will include studies on adults with migraine treated with injectable medications. Two authors will review each study's title and abstract, followed by the full text. If there is a disagreement, a third author will decide. We will assess the studies for bias using a standard tool. For some studies, we will perform a meta-analysis. We will categorize medications as "highly likely," "likely," or "possibly" effective or ineffective. The results will include a discussion of medications' risks. Results: Our goal is to provide guidance on which injectable treatments, including nerve blocks and sphenopalatine ganglion blocks, work best for adults with migraine in the emergency room. Implications: This summary outlines our plan to use an updated review and analysis to create new guidelines for the treatment of adults with migraine in the emergency room. Jennifer Robblee: Conceptualization; writing – original draft; writing – review and editing. Xurong (Rachel) Zhao: Conceptualization; writing – original draft; writing – review and editing. Mia T. Minen: Conceptualization; writing – original draft; writing – review and editing. Benjamin W. Friedman: Conceptualization; writing – original draft; writing – review and editing. Miguel A. Cortel-LeBlanc: Conceptualization; writing – original draft; writing – review and editing. Achelle Cortel-LeBlanc: Conceptualization; writing – original draft; writing – review and editing. Serena L. Orr: Conceptualization; writing – original draft; writing – review and editing. Jennifer Robblee discloses grant support from Barrow Neurological foundation, investigator support from Eli Lilly and Abbvie, as well as paid Editorial relationship with MedLink Neurology and Neurodiem. She has received personal compensation for serving on advisory boards for Allergan/Abbvie. She also discloses that a family member has partial ownership of Scottsdale Providence Recovery Center biomedical company. Xurong (Rachel) Zhao has nothing to disclose. Mia Minen has salary support from a National Institutes of Health award. Benjamín Friedman has nothing to disclose. Miguel A. Cortel-LeBlanc has received honoraria from the Canadian Association of Emergency Physicians for educational events, and from AbbVie for speaking engagements. He receives an honorarium from the Ontario Medical Association for serving as a member of the Physician Payment Committee. He has also received consulting fees for the provision of medico-legal expert opinions. Achelle Cortel-LeBlanc is a minority shareholder and on the leadership team at 360 Concussion Care Inc.; receives consulting fees for medico-legal expert opinions and independent medical evaluations; has received honoraria from Abbvie/Allergan for speaking events; receives honoraria from the Ontario Medical Association for work on the Neurology Section Executive; receives a stipend from the University of Ottawa for working as a rotation director; is a co-investigator on research funded by the University of Ottawa Brain and Mind Research Institute. Serena L. Orr receives royalties from Cambridge University Press. She serves on the editorial boards of Headache, Neurology, and the American Migraine Foundation. She also has research funding from the Canadian Institutes of Health Research and the Alberta Children's Hospital Research Institute.

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.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,047
score de la tête « metaresearch » (Gemma)0,196
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Protocole · Signal consensuel: Protocole
Score de désaccord entre enseignants0,190
Score d'incertitude au seuil0,636

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0470,196
Méta-épidémiologie (sens strict)0,0030,003
Méta-épidémiologie (sens large)0,0090,013
Bibliométrie0,0080,010
Études des sciences et des technologies0,0020,002
Communication savante0,0080,007
Science ouverte0,0040,006
Intégrité de la recherche0,0090,010
Charge utile insuffisante (le modèle a refusé de juger)0,1900,076

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 Opus0,043
Tête enseignante GPT0,417
Écart entre enseignants0,374 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreProtocole

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission2
Résumé présentoui

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