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Enregistrement W4410134573 · doi:10.1111/cea.70074

Roadmap of Anaphylaxis Registries Across the World

2025· article· en· W4410134573 sur OpenAlexaboutno aff
Guillaume Pouessel, François Dubos, Stéphanie Lejeune, D. Pelletier De Chambure, Paul‐Michel Mertès, Charles Tacquard, S. Lefèvre, Pascal Demoly, Luciana Kase Tanno

Notice bibliographique

RevueClinical & Experimental Allergy · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueFood Allergy and Anaphylaxis Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAnaphylaxisMedicineMEDLINEAllergyImmunologyPolitical science

Résumé

récupéré en direct d'OpenAlex

SUMMARY Medical registries provide highly reliable real-world data on epidemiology but have also evolved to disease prevention, early diagnosis and screening programmes, treatment response, healthcare planning, decision making and disease control programmes [1, 2]. The main uses of medical registries usually include patient care (improvement of care quality, outcome and effectiveness of treatment, monitoring risk groups and providing risk stratification), public health (assessment of disease burden, healthcare policies), technology assessment of biopharmaceutical products or medical devices and research. Patient registries can be useful to interact with health authorities to improve public health at a national level and to alert participants and clinicians on new insights about disease, unexpected and adverse effects, and medical products, improve clinical care. In the field of anaphylaxis, patient registries inform epidemiology, management and research [1, 2]. There are only scarce data about ongoing anaphylaxis registries and their framework. Our article aims to identify and describe the scope and features of worldwide registries collecting data related to anaphylaxis. We defined a patient anaphylaxis registry as a collection – for one or more purposes – of standardised information about patients who experienced anaphylaxis. An online questionnaire was prepared and validated by independent experts in the field of anaphylaxis. It was made available through the LimeSurveyR platform, beta-tested and launched by e-mail to worldwide health professionals from the World Allergy Organisation (April–September 2024) with three follow-up reminders. The questionnaire covered geographical coverage, methods to collect data, sources of data validation, extraction and funding. All responses were anonymous and voluntary. Only one response per e-mail was permitted. This survey did not require any ethics committee approval. Responses were received from 293 members, representing 67 countries, of whom 95 (32.4%) from 45 countries reported recording data for at least one anaphylaxis registry. Participants declared they collect data at a national (23/49; 47%) or international level (19/49; 39%), for anaphylaxis of any cause in 72/88 (82%) and for fatal anaphylaxis in 32/88 (36%). Allergists (88%) and emergency physicians (34%) were the most frequent participants of the registry involved in data collection. Sixteen anaphylaxis registries have been identified (Table 1). These registries were mainly located in Europe (n = 6), regions of Asia (n = 4), Australia (n = 1), Latin America countries (n = 3) and North America (Canada, United States) (n = 2). Of the 16, 10 (63%) registries were nation-based, four (25%) were international, and two (13%) covered a regional population. Thirteen (81%) registries collected data on anaphylaxis of any cause, two (13%) on drug-related anaphylaxis (including one in the perioperative setting) and 1 on reactions after subcutaneous allergen immunotherapy. All but one registry included cases of all ages, with a single registry enrolling only paediatric cases. Six (38%) collected cases from hospital settings (emergency settings/allergy departments) and the others from a combination of various settings, including private practice and hospital settings. Three registries (19%) operate under a mandatory framework. Patients' consent for participation was required in only one registry. Funding sources were mainly governmental (n = 6), private (n = 4) or provided by academic allergy societies (n = 3). Based on the literature research, a previous review identified 19 anaphylaxis registries worldwide, which generated 77 full-text publications [3, 4]. Comparing our findings with those reported by Stiles et al., we observed that the main locations of the registries were similar. We found that most registries were nation-based, with four at an international level, whereas Stiles et al. reported that eleven out of 19 were nation-based and two international. The main purpose, data collection for anaphylaxis of any cause, was quite similar in both studies. However, we did not identify any registry dedicated to fatal anaphylaxis; Stiles et al. reported three anaphylaxis registries focusing on fatal cases. According to our results, there was a wide variety of funding sources which are one major pitfall regarding the creation, development, and sustainability of patient registries. Additionally, only three out of 16 registries were operating under a mandatory framework, consistent with previous reports [4]. Surprisingly, we found that informed consent from subjects was obtained in only one registry. The main limitation of our study is that we could not identify all anaphylaxis registries, and it is likely that some ongoing registries were not included. Our study counted on volunteer responses and should be viewed as a snapshot in time, reflecting the variety of anaphylaxis registries worldwide, rather than an exhaustive overview of this topic. We identified a wide range of anaphylaxis registries, six in Europe, with differences in scope, organisation, and funding sources. Anaphylaxis registries are of a major importance to provide real-world data about risk factors for severity and recurrences (e.g., for specific anaphylaxis triggers, as for foods or drugs), develop healthcare cost mitigation strategies (e.g., stocking adrenaline auto-injectors in schools), improve or harmonise quality and outcome measures (e.g., anaphylaxis severity scores) [1, 2]. Challenges in the development of these medical registries include data quantity, reliability and consistency [1, 2]. Structuring, coding and integrating data from diverse sources remain significant hurdles, and standardisation of the different sources is crucial. Registries should evolve into a new generation of integrated systems within a ‘big data’ health information framework, including data from electronic health records and hospital operators, leveraging advancements in semantic web technology [5]. A close collaboration between allergists involved in clinical research and anaphylaxis registries is required. G.P. analysed, interpreted the data and wrote the draft. D.P.C. and L.K.T. performed the electronic survey using the LimeSurvey platform. F.D., S.L., D.P.C., P.M.M., C.T., S.L., P.D., and L.K.T. were major contributors in reviewing the draft and improving the paper with critical analysis. All authors read and approved the final manuscript. We acknowledge all participants of this electronic survey. G.P. has provided consultation and speaker services for AImmune Therapeutics, Stallergenes, Novartis, DVB technology, ALK-Abello, Viatris and Bioprojet; serves as a medical consultant/advisor for Bioprojet, Theravia and Viatris. DPC declares personal fees from Sanofi and GlaxoSmithKline and congress support from Sanofi, Stallergènes, ALKAbelló, AstraZeneca and Viatris outside the submitted work. The other authors declare no conflicts of interest. The data that support the findings of this study are available from the corresponding author upon reasonable request.

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)0,000
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: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,286
Score d'incertitude au seuil0,678

Scores Codex et Gemma par catégorie

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

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 GPT0,455
Écart entre enseignants0,402 · 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

Citations6
Publié2025
Routes d'admission1
Résumé présentoui

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