Refining Incidence and Characteristics of Inflammatory Myopathies: A Quadruple‐Source Capture–Recapture Survey Using the 2017 European League Against Rheumatism /American College of Rheumatology Classification Criteria
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· 2023
· Open Access
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· DOI: https://doi.org/10.1002/art.42561
Objective Inflammatory myopathies (IM), characterized by muscle inflammation and weakness, are rare systemic diseases. Our previous study estimated an IM incidence rate of 7.98 cases per million people per year (95% confidence interval 7.38–8.66) and highlighted important variations that were likely because of methodologic issues rather than true epidemiologic differences. In this study, we aimed to refine the incidence of IM, using the 2017 European League Against Rheumatism (EULAR)/American College of Rheumatology (ACR) classification criteria for IM and a quadruple‐source capture–recapture method during a 6‐year period in Alsace, France, a region with a population of 2 million having benefits of good access to health care and accredited IM referral centers. Methods Clinical data of potential IM patients were obtained from 4 sources (general practitioners and community specialists, public and private hospital records, public and private laboratories, and archives from the pathology department). Patients residing in Alsace and who fulfilled the 2017 EULAR/ACR criteria for IM between January 1, 2006, and January 1, 2013, were included. We corrected potentially incomplete ascertainment of cases with capture–recapture analyses. We studied both spatial and temporal distributions of incidence of IM. We also assessed systemic manifestations of the disease. Results Our review of 1,742 potential cases identified 106 patients with IM. No spatial or temporal heterogeneity was observed. Use of log‐linear models showed an estimated 14.9 additional missed cases. Thus, the incidence rate of IM was 8.22 new cases per million inhabitants per year (95% confidence interval 6.76–9.69). Extramuscular manifestations other than dermatomyositis rash were frequently recorded. Conclusion The stringent methodology used in our study provides an accurate estimation of the incidence of IM. This study also demonstrates, in a population‐based cohort, the systemic nature of IM. image
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- Language
- en
- Landing Page
- https://doi.org/10.1002/art.42561
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/art.42561
- OA Status
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- Cited By
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- Related Works
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https://openalex.org/W4376871800Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/art.42561Digital Object Identifier
- Title
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Refining Incidence and Characteristics of Inflammatory Myopathies: A
Quadruple‐Source Capture–Recapture Survey Using the 2017European League Against Rheumatism /American College of Rheumatology Classification CriteriaWork title - Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-05-16Full publication date if available
- Authors
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L. Debrut, Margherita Giannini, Delphine Klein, Lionel Spielmann, Philippe Mertz, Thierry Martin, Aleksandra Nadaj‐Pakleza, Sandrine Hirschi, Benoît Nespola, Béatrice Lannes, Joëlle Terzic, O. Hinschberger, Benjamin Dervieux, Dan Lipsker, Laurent Arnaud, Jacques‐Eric Gottenberg, Jean François Kleinmann, Bernard Gény, François Séverac, Michel Velten, Jean Sibilia, Alain MeyerList of authors in order
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https://doi.org/10.1002/art.42561Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/art.42561Direct link to full text PDF
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hybridOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/art.42561Direct OA link when available
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Medicine, Incidence (geometry), Confidence interval, Rheumatism, Population, Epidemiology, Rheumatology, Internal medicine, Demography, Family medicine, Emergency medicine, Environmental health, Optics, Physics, SociologyTop concepts (fields/topics) attached by OpenAlex
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8Total citation count in OpenAlex
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2025: 3, 2024: 4, 2023: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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