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The Norfolk Arthritis Register (NOAR).

D P Symmons1, A J Silman

  • 1Arthritis Research Campaign Epidemiology Unit, School of Epidemiology and Health Sciences, University of Manchester, Stopford Building, Oxford Road, Manchester M13 9PT, United Kingdom. Deborah.Symmons@man.ac.uk

Clinical and Experimental Rheumatology
|February 19, 2004
PubMed
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The Norfolk Arthritis Register (NOAR) tracks early inflammatory polyarthritis (IP) patients. Most develop rheumatoid arthritis (RA) within five years, with research exploring risk factors, outcomes, and healthcare costs.

Area of Science:

  • Rheumatology
  • Epidemiology
  • Clinical Research

Background:

  • The Norfolk Arthritis Register (NOAR) has followed patients with early inflammatory polyarthritis (IP) since 1989.
  • A significant proportion of patients with IP meet classification criteria for rheumatoid arthritis (RA) within five years of symptom onset.

Purpose of the Study:

  • To summarize publications from the NOAR cohort.
  • To detail the incidence, prevalence, risk factors, and outcomes of IP and RA.
  • To discuss methodological challenges and healthcare costs associated with early IP.

Main Methods:

  • Longitudinal observational study design.
  • Recruitment and follow-up of patients with early inflammatory polyarthritis since 1989.
  • Analysis of publications focusing on epidemiology, risk factors, outcomes, and healthcare costs.

Related Experiment Videos

Main Results:

  • Summary of findings on the incidence and prevalence of IP and RA.
  • Identification of genetic and environmental risk factors for IP development.
  • Insights into patient outcomes and predictors of these outcomes.
  • Discussion of challenges in analyzing treatment effects in observational studies and associated healthcare costs.

Conclusions:

  • The NOAR cohort provides valuable data on the natural history of early inflammatory polyarthritis and rheumatoid arthritis.
  • Understanding risk factors and outcomes is crucial for managing IP and RA.
  • Methodological considerations are important for accurate assessment of treatment effects and healthcare burden.