Terminologies and definitions used to classify patients with osteoarthritis: a scoping review
Rattachement africain : es, hu, bg, rs, de, nl, se, at, be. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
OBJECTIVES: Osteoarthritis (OA), a prevalent and disabling condition, significantly burdens individuals and healthcare systems worldwide. It is characterized by joint pain, stiffness, and structural changes in cartilage, bone, and synovium. The clinical manifestations of OA vary widely, reflecting complex interactions among genetic, metabolic, biomechanical, and environmental factors. Despite progress in identifying OA clinical phenotypes, inconsistent terminology, including "phenotypes," "subtypes," and "subgroups," hinders effective communication and research translation. This review aims to synthesize existing literature on clinical OA phenotypes, terminology, and definitions and propose a research agenda. METHOD: This scoping review followed PRISMA-ScR guidelines, focusing on publications from 2010 to 2023 investigating clinical phenotypes in adult OA patients. Searches were conducted in MEDLINE, SCOPUS, and EBSCOhost using combinations of terms related to clinical phenotypes in OA. Studies were screened, duplicates removed, and relevant data were charted and analyzed by two independent reviewers. RESULTS: From 196 identified studies, 50 were included in the final analysis. Eight clinical phenotypes were categorized, including inflammatory, biomechanical, metabolic, and pain-sensitization. minimal joint disease, psychologically driven, menopause, severe radiographic. Most studies focused on knee OA, with limited exploration of hand, midfoot, and hip OA. Phenotype-based management strategies demonstrated potential for improving treatment outcomes and guiding research. CONCLUSION: Standardizing terminology and leveraging phenotype-based frameworks hold promise for advancing personalized OA care and research. Future efforts should focus on validating criteria, developing accessible diagnostic tools, and addressing understudied OA phenotypes. This work highlights the value of tailoring interventions to specific OA phenotypes for improved patient outcomes. CLINICAL TRIAL NUMBER: Not applicable.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Terminologies and definitions used to classify patients with osteoarthritis: a scoping review
- Date Crossref
- 14/03/2025
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Universidad de Málaga pays non établi dans la noticeUniversité ou école supérieure
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Semmelweis University Musculoskeletal Radiology Group pays non établi dans la noticeUniversité ou école supérieure
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Plovdiv University pays non établi dans la noticeUniversité ou école supérieure
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Medical University Plovdiv Department of Medical Biology pays non établi dans la noticeUniversité ou école supérieure
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University of Belgrade pays non établi dans la noticeUniversité ou école supérieure
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TUM Klinikum pays non établi dans la noticeÉtablissement de santé
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University Hospital Ulm Department of Diagnostic and Interventional Radiology pays non établi dans la noticeÉtablissement de santé
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Technical University of Munich Klinikum rechts der Isar pays non établi dans la noticeUniversité ou école supérieure
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Erasmus MC Department of General Practice pays non établi dans la noticeÉtablissement de santé
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Karolinska University Hospital Motion Analysis Lab pays non établi dans la noticeÉtablissement de santé
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Karolinska Institutet Department of Women's and Children's Health pays non établi dans la noticeUniversité ou école supérieure
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Univerzitetski Klinički Centar Srbije pays non établi dans la noticeÉtablissement de santé
Universidad de Málaga, Musculoskeletal Radiology Group — Semmelweis University et Plovdiv University, avec 9 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.