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Correlation01:09

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In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
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Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
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The CORRONA database.

J M Kremer1

  • 1Albany Medical College, The Center for Rheumatology, Albany, New York 12203, USA.

Clinical and Experimental Rheumatology
|November 9, 2005
PubMed
Summary
This summary is machine-generated.

The CORRONA database provides crucial long-term safety and efficacy data for rheumatoid arthritis (RA) and psoriatic arthritis (PsA) treatments. This independent North American database offers insights beyond industry-sponsored studies.

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Area of Science:

  • Rheumatology
  • Clinical Data Management
  • Pharmacovigilance

Background:

  • Long-term safety and efficacy data are essential for new rheumatoid arthritis (RA) and psoriatic arthritis (PsA) treatments.
  • Existing industry-sponsored investigations offer limited scope for comprehensive data analysis.

Purpose of the Study:

  • To describe the structure, governance, content, context, and developmental plan of the CORRONA database.
  • To highlight the CORRONA database's capacity for independent, long-term patient data collection.

Main Methods:

  • The CORRONA database collects data from both rheumatologists and patients during clinical encounters.
  • Data collection occurs every 3 months for RA patients and every 6 months for PsA patients.
  • The database structure facilitates the capture of demographic and socioeconomic profiles.

Main Results:

  • Established in 2002, CORRONA is North America's largest independent database for RA and PsA.
  • Currently comprises approximately 9,000 RA patients and 1,000 PsA patients.
  • Enables the identification of rare toxicities and analysis of real-world prescribing patterns and treatment responses.

Conclusions:

  • After three years, the CORRONA database has matured and is poised to significantly advance understanding of RA and PsA.
  • The database provides valuable insights into drug safety, efficacy, and patient profiles.
  • CORRONA's independent nature allows for unbiased data interpretation beyond industry limitations.