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Cited by 575

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Epidemiology of rheumatic diseases

Sangha, O.·2000·Rheumatology

Abstract

Rheumatic diseases are among the oldest diseases recognized. The classification of rheumatic diseases is sometimes difficult due to unknown aetiology and heterogeneity in their clinical presentation. Osteoarthritis (OA) and rheumatoid arthritis (RA) are the two most common rheumatic diseases, accounting for a large percentage of disability worldwide. The economic and social burden of these diseases is great. Their impact on both individuals and society results from a decreased quality of life, lost productivity and increased costs of health care. Without appropriate approaches to patient management and control of these diseases, this impact can be expected to increase as the population ages. One of the challenges in studying OA and RA, and rheumatic diseases in general, is deriving epidemiological data that can be used to understand better the factors that contribute to the initiation and progression of these diseases. Only with such an understanding can significant progress be made in the diagnosis, treatment and management of patients.

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Crossref · 10.1093/rheumatology/39.suppl_2.3

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Metadata

Authors
Sangha, O.
Venue
Rheumatology
Published
2000-12
Volume
39
Issue
suppl_2
Pages
3-12
ISSN
  • 1462-0324 (ISSN-L)
  • 1462-0332
OpenAlex
W2103187999
Cited by
575
References
3
FWCI
6.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Epidemiology of rheumatic diseases. https://app.cochat.ai/papers/10.1093/rheumatology/39.suppl_2.3
The paper
Sangha, O. (2000). Epidemiology of rheumatic diseases. Rheumatology. https://doi.org/10.1093/rheumatology/39.suppl_2.3

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.