Derivation and Definitions of Clinical Study Variables for Multiple Long Term Conditions in Patients with Chronic Obstructive Pulmonary Disease: Protocol for a Modified Delphi Methods and Consensus Study on Behalf of the International Cardiovascular and Respiratory Alliance
Notice bibliographique
Résumé
Tobin Joseph,1– 3 Mohit Bhutani,4 Amy Couper,5,6 Rachel Pullen,5 Ramesh Nadarajah,1– 3 Luis Alves,7,8 Maria Felicia Montero-Arias,9,10 Riyad Al-Lehebi,11,12 David D Berg,13 Nathaniel M Hawkins,14 John R Hurst,15 Christine R Jenkins,16,17 Alan Kaplan,5,18,19 Janwillem WH Kocks,5,20– 22 Konstantinos Kostikas,5,23 Carolyn S P Lam,24 Therese S Lapperre,25,26 Chin Kook Rhee,27 Naveed Sattar,28 Daiana Stolz,29 Gary Tse,30,31 Tonya Winders,32 David Price,5,6,33 Chris P Gale1– 3 1Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK; 2Leeds Institute for Data Analytics, University of Leeds, Leeds, UK; 3Department of Cardiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK; 4Department of Medicine, University of Alberta, Edmonton, Alberta, Canada; 5Observational and Pragmatic Research Institute, Singapore, Singapore; 6Optimum Patient Care Global, Cambridge, UK; 7EPI Unit, Institute of Public Health, University of Porto, Porto, Portugal; 8Laboratory for Integrative and Translational Research in Population Health (ITR), Porto, Portugal; 9Department of Respiratory Medicine, Hospital México, San José, 10107, Costa Rica; 10Hospital Clínica Bíblica, Calle Central Alfredo Volio, San José, 10101, Costa Rica; 11Department of Pulmonology, King Fahad Medical City, Riyadh, Saudi Arabia; 12College of Medicine, Alfaisal University, Riyadh, Saudi Arabia; 13Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA; 14Centre for Cardiovascular Innovation, University of British Columbia, Vancouver, Canada; 15UCL Respiratory, University College London, London, UK; 16Head Respiratory Group, The George Institute, Randwick, NSW, Australia; 17University of New South Wales (UNSW), Sydney, Australia; 18Family Physician Airways Group of Canada, Stouffville, Ontario, Canada; 19University of Toronto, Toronto, Canada; 20General Practitioners Research Institute, Groningen, The Netherlands; 21Groningen Research Institute Asthma and COPD (GRIAC), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands; 22Department of Pulmonology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands; 23Respiratory Medicine Department, University of Ioannina, Ioannina, Greece; 24National Heart Centre Singapore in Singapore, Duke-National University of Singapore (C.S.P.L), Singapore; 25Translational Research in Immunology and Inflammation, Laboratory of Experimental Medicine and Pediatrics, University of Antwerp, Antwerp, Belgium; 26Department of Pneumology, Antwerp University Hospital, Edegem, Belgium; 27Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, South Korea; 28School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK; 29Clinic of Respiratory Medicine and Faculty of Medicine, University of Freiburg, Freiburg, Germany; 30School of Nursing and Health Sciences, Hong Kong Metropolitan University, Hong Kong, People’s Republic of China; 31Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, People’s Republic of China; 32Global Allergy & Airways Patient Platform, Vienna, Austria; 33Centre of Academic Primary Care, Division of Applied Health Sciences, University of Aberdeen, Aberdeen, UKCorrespondence: Tobin Joseph, Email t.joseph@leeds.ac.ukBackground: Standardized variables and their definitions are essential for robust delivery and reporting of clinical studies and quality improvement in chronic obstructive pulmonary disease (COPD). This protocol describes the rationale and methodology for the derivation and definition of clinical study variables for patients with multimorbidity or at high risk of multimorbidity in COPD.Methods and Analysis: We will follow a four-step process. This will include the formation of an Executive Committee, a Steering Committee and an International Consensus Group. We will conduct a systematic review of the literature from which potential clinical study variables will be extracted and their definitions proposed. Using a modified Delphi process, the Steering Committee will select candidate clinical study variables and as necessary refine their definitions. All three groups will then vote and give feedback on the candidate clinical study variables in a modified Delphi process (with rounds until consensus is achieved) to reach a final suite of internationally agreed hierarchically classified clinical study variables.Ethics and Dissemination: It is anticipated that the results will be published in a peer-reviewed journal and presented in a variety of forums. Ethical approval was not required for this study.Keywords: COPD, data standards, registry, quality improvement, randomized clinical trial, outcomes, multimorbidity
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 | 0,308 | 0,188 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,003 |
| Méta-épidémiologie (sens large) | 0,005 | 0,009 |
| Bibliométrie | 0,006 | 0,006 |
| Études des sciences et des technologies | 0,006 | 0,004 |
| Communication savante | 0,006 | 0,004 |
| Science ouverte | 0,005 | 0,009 |
| Intégrité de la recherche | 0,004 | 0,010 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,018 | 0,005 |
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 ».