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Enregistrement W4394563685 · doi:10.1016/j.jaci.2024.02.019

Preparing Patients for Oral Immunotherapy (PPOINT): International Delphi consensus for procedural preparation and consent

2024· article· en· W4394563685 sur OpenAlexafffund
Douglas P. Mack, Timothy E. Dribin, Paul Turner, Richard L. Wasserman, Mariam Hanna, Marcus Shaker, Mimi L.K. Tang, Pablo Rodríguez del Río, Brad Sobolewski, Elissa M. Abrams, Aikaterini Anagnostou, Stefania Arasi, Sakina Bajowala, Philippe Bégin, Scott B. Cameron, Edmond S. Chan, R. Sharon Chinthrajah, Andrew Clark, Paul Detjen, George Du Toit, Motohiro Ebisawa, Arnon Elizur, Jeffrey M. Factor, Justin Greiwe, Jonathan O’B Hourihane, Sarah W. Hughes, Douglas H. Jones, Antonella Muraro, Anna Nowak‐Węgrzyn, Nandinee Patel, Amy M. Scurlock, Atul N. Shah, Sayantani Sindher, Stephen A. Tilles, Brian P. Vickery, Julie Wang, Hugh H. Windom, Matthew Greenhawt

Notice bibliographique

RevueJournal of Allergy and Clinical Immunology · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueFood Allergy and Anaphylaxis Research
Établissements canadiensUniversity of British ColumbiaCentre Hospitalier Universitaire Sainte-JustineUniversity of ManitobaBC Children's HospitalMcMaster University
Organismes subventionnairesStanford Maternal and Child Health Research InstituteNational Institute of Allergy and Infectious DiseasesNational Center for Advancing Translational SciencesMedical Research CouncilGenentechRegeneron PharmaceuticalsMylanNational Institutes of HealthBausch HealthPublic Health AgencyAsthma and Lung UKNational Institute for Health and Care ResearchDanoneAction Medical ResearchSanofi GenzymePfizerIncyteAstraZenecaAimmune TherapeuticsLEO PharmaPublic Health Agency of CanadaAmerican Academy of Allergy Asthma and ImmunologyAustralasian Society of Clinical Immunology and AllergySanofiFood Allergy Research and Education
Mots-clésOral immunotherapyMedicineDelphi methodImmunotherapyInformed consentAllergyDelphiIntensive care medicineMedical physicsFamily medicineAlternative medicineFood allergyInternal medicineImmunologyPathologyCancerComputer science

Résumé

récupéré en direct d'OpenAlex

BackgroundDespite the promise of oral immunotherapy (OIT) to treat food allergies, this procedure is associated with potential risk. There is no current agreement about what elements should be included in the preparatory or consent process.ObjectiveWe developed consensus recommendations about the OIT process considerations and patient-specific factors that should be addressed before initiating OIT and developed a consensus OIT consent process and information form.MethodsWe convened a 36-member Preparing Patients for Oral Immunotherapy (PPOINT) panel of allergy experts to develop a consensus OIT patient preparation, informed consent process, and framework form. Consensus for themes and statements was reached using Delphi methodology, and the consent information form was developed.ResultsThe expert panel reached consensus for 4 themes and 103 statements specific to OIT preparatory procedures, of which 76 statements reached consensus for inclusion specific to the following themes: general considerations for counseling patients about OIT; patient- and family-specific factors that should be addressed before initiating OIT and during OIT; indications for initiating OIT; and potential contraindications and precautions for OIT. The panel reached consensus on 9 OIT consent form themes: benefits, risks, outcomes, alternatives, risk mitigation, difficulties/challenges, discontinuation, office policies, and long-term management. From these themes, 219 statements were proposed, of which 189 reached consensus, and 71 were included on the consent information form.ConclusionWe developed consensus recommendations to prepare and counsel patients for safe and effective OIT in clinical practice with evidence-based risk mitigation. Adoption of these recommendations may help standardize clinical care and improve patient outcomes and quality of life. Despite the promise of oral immunotherapy (OIT) to treat food allergies, this procedure is associated with potential risk. There is no current agreement about what elements should be included in the preparatory or consent process. We developed consensus recommendations about the OIT process considerations and patient-specific factors that should be addressed before initiating OIT and developed a consensus OIT consent process and information form. We convened a 36-member Preparing Patients for Oral Immunotherapy (PPOINT) panel of allergy experts to develop a consensus OIT patient preparation, informed consent process, and framework form. Consensus for themes and statements was reached using Delphi methodology, and the consent information form was developed. The expert panel reached consensus for 4 themes and 103 statements specific to OIT preparatory procedures, of which 76 statements reached consensus for inclusion specific to the following themes: general considerations for counseling patients about OIT; patient- and family-specific factors that should be addressed before initiating OIT and during OIT; indications for initiating OIT; and potential contraindications and precautions for OIT. The panel reached consensus on 9 OIT consent form themes: benefits, risks, outcomes, alternatives, risk mitigation, difficulties/challenges, discontinuation, office policies, and long-term management. From these themes, 219 statements were proposed, of which 189 reached consensus, and 71 were included on the consent information form. We developed consensus recommendations to prepare and counsel patients for safe and effective OIT in clinical practice with evidence-based risk mitigation. Adoption of these recommendations may help standardize clinical care and improve patient outcomes and quality of life.

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 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)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,791
Score d'incertitude au seuil0,324

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,052
Tête enseignante GPT0,413
Écart entre enseignants0,362 · 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 tête enseignante, 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
GenreEmpirique

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

En bref

Citations35
Publié2024
Routes d'admission2
Résumé présentoui

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