Adult Severe Asthma Registries: A Global and Growing Inventory
Notice bibliographique
Résumé
Breda Cushen,1,* Mariko Siyue Koh,2,* Trung N Tran,3 Neil Martin,3,4 Ruth Murray,5 Thendral Uthaman,6 Celine Yun Yi Goh,5,6 Rebecca Vella,7 Neva Eleangovan,5,6 Lakmini Bulathsinhala,5,6 Jorge F Maspero,8,9 Matthew J Peters,10 Florence Schleich,11 Paulo Pitrez,12 George Christoff,13 Mohsen Sadatsafavi,14 Carlos A Torres-Duque,15,16 Celeste Porsbjerg,17 Alan Altraja,18 Lauri Lehtimäki,19 Arnaud Bourdin,20 Christian Taube,21 Nikolaos G Papadopoulos,22,23 Csoma Zsuzsanna,24 Unnur Björnsdóttir,25 Sundeep Salvi,26 Enrico Heffler,27 Takashi Iwanaga,28 Mona al-Ahmad,29 Désirée Larenas-Linnemann,30 Job FM van Boven,31 Bernt Bøgvald Aarli,32,33 Piotr Kuna,34 Cláudia Chaves Loureiro,35,36 Riyad Al-lehebi,37 Jae Ha Lee,38 Nuria Marina,39 Leif Bjermer,40 Chau-Chyun Sheu,41,42 Bassam Mahboub,43 John Busby,44 Andrew Menzies-Gow,45 Eileen Wang,46 David B Price5,6,47 On behalf of ISAR Inventory Study Group1Department of Respiratory Medicine, Beaumont Hospital, Dublin, Ireland; 2Department of Respiratory and Critical Care Medicine, Singapore General Hospital, Singapore, Singapore; 3AstraZeneca, Gaithersburg, MD, USA; 4Department of Respiratory Medicine, University of Leicester, Leicester, UK; 5Optimum Patient Care Global, Cambridge, UK; 6Observational Pragmatic Research Institute, Singapore, Singapore; 7Optimum Patient Care, Brisbane, Queensland, Australia; 8Clinical Research for Allergy and Respiratory Medicine, CIDEA Foundation, Buenos Aires, Argentina; 9University Career of Specialists in Allergy and Clinical Immunology at the Buenos Aires University School of Medicine, Buenos Aires, Argentina; 10Department of Thoracic Medicine, Concord Hospital, Sydney, Australia; 11CHU Sart-Tilman, GIGA I3, University of Liege, Liège, Wallonia, Belgium; 12Pulmonology Division, Hospital Santa Casa de Porto Alegre, Porto Alegre, Brazil; 13Faculty of Public Health, Medical University, Sofia, Bulgaria; 14Respiratory Evaluation Sciences Program, Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, Canada; 15CINEUMO, Respiratory Research Center, Fundación Neumológica Colombiana, Bogotá, Colombia; 16Universidad de La Sabana, Chia, Colombia; 17Department of Respiratory Medicine and Infectious Diseases, Research Unit, Bispebjerg Hospital, Copenhagen, Denmark; 18Department of Pulmonology, University of Tartu and Lung Clinic, Tartu University Hospital, Tartu, Estonia; 19Allergy Centre, Tampere University Hospital, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; 20PhyMedExp, Univ Montpellier, CNRS, INSERM, CHU Montpellier, Montpellier, France; 21Department of Pulmonary Medicine, University Medical Center Essen-Ruhrlandklinik, Essen, Germany; 22Division of Infection, Immunity & Respiratory Medicine, University of Manchester, Manchester, UK; 23Allergy Department, 2nd Pediatric Clinic, University of Athens, Athens, Greece; 24Asthma Outpatient Clinic, National Koranyi Institute for Pulmonology, Budapest, Hungary; 25Department of Allergy and Respiratory Medicine, University Hospital, Reykjavik, Iceland; 26Pulmocare Research and Education Foundation, Pune, India; 27Personalized Medicine, Asthma and Allergy, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy; 28Kindai University Hospital, Osakasayama, Japan; 29Microbiology Department, College of Medicine, Kuwait University, Kuwait, Al-Rashed Allergy Center, Ministry of Health, Kuwait City, Kuwait; 30Centro de Excelencia en Asma y Alergia, Hospital Médica Sur, Ciudad de México, Mexico; 31University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), Department of Clinical Pharmacy & Pharmacology, Groningen, the Netherlands; 32Department of Thoracic Medicine, Haukeland University Hospital, Bergen, Norway; 33Department of Clinical Science, University of Bergen, Bergen, Norway; 34Division of Internal Medicine Asthma and Allergy, Medical University of Lodz, Lodz, Poland; 35Pneumology Unit, Hospitais da Universidade de Coimbra, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal; 36Centre of Pneumology, Faculty of Medicine, University of Coimbra, Coimbra, Portugal; 37Department of Pulmonology, King Fahad Medical City, Riyadh, Saudi Arabia, Alfaisal University, Riyadh, Saudi Arabia; 38Division of Pulmonology and Critical Care Medicine, Department of Internal Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea; 39Pneumology Service, Biocruces, Cruces University Hospital, Barakaldo, Spain; 40Respiratory Medicine and Allergology, Department of Clinical Sciences, Skåne University Hospital, Lund University, Lund, Sweden; 41Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan; 42Department of Internal Medicine, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan; 43Rashid Hospital, Dubai Health Authority (DHA), Dubai, United Arab Emirates; 44Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen’s University Belfast, Belfast, Northern Ireland, UK; 45Lung Division, Royal Brompton & Harefield Hospital, London, UK; 46Division of Allergy and Clinical Immunology, Department of Medicine, National Jewish Health and University of Colorado School of Medicine, Denver and Aurora, CO, USA; 47Centre of Academic Primary Care, Division of Applied Health Sciences, University of Aberdeen, Aberdeen, Scotland, UK*These authors contributed equally to this workCorrespondence: David B Price, Observational and Pragmatic Research Institute (OPRI) Pte Ltd, 22 Sin Ming Lane, #06-76, Midview City, 573969, Singapore, Tel +65 3105 1489, Email dprice@opri.sgAim: The International Severe Asthma Registry (ISAR; http://isaregistries.org/) uses standardised variables to enable multi-country and adequately powered research in severe asthma. This study aims to look at the data countries within ISAR and non-ISAR countries reported collecting that enable global research that support individual country interests.Methods: Registries were identified by online searches and approaching severe asthma experts. Participating registries provided data collection specifications or confirmed variables collected. Core variables (results from ISAR’s Delphi study), steroid-related comorbidity variables, biologic safety variables (serious infection, anaphylaxis, and cancer), COVID-19 variables and additional variables (not belonging to the aforementioned categories) that registries reported collecting were summarised.Results: Of the 37 registries identified, 26 were ISAR affiliates and 11 non-ISAR affiliates. Twenty-five ISAR-registries and 4 non-ISAR registries reported collecting > 90% of the 65 core variables. Twenty-three registries reported collecting all optional steroid-related comorbidity variables. Twenty-nine registries reported collecting all optional safety variables. Ten registries reported collecting COVID-19 variables. Twenty-four registries reported collecting additional variables including data from asthma questionnaires (10 Asthma Control Questionnaire, 20 Asthma Control Test, 11 Asthma Quality of Life Questionnaire, and 4 EuroQol 5-dimension 5-level Questionnaire). Eight registries are linked to databases such as electronic medical records and national claims or disease databases.Conclusion: Standardised data collection has enabled individual severe asthma registries to collect unified data and increase statistical power for severe asthma research irrespective of ISAR affiliations.Keywords: Asia-Pacific, biologics, COVID-19, Europe, ISAR, International Severe Asthma Registry, oral corticosteroids, Registry, Middle East, Severe Asthma, Latin America, USA
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,009 | 0,018 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,014 | 0,019 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,003 | 0,005 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,003 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».