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[Measurement discrepancies (analysis of consistency between 2 methods)]

S M Cardoso1

  • 1Professor Catedrático de Epidemiologia e Medicina Preventiva da Faculdade de Medicina de Coimbra.

Revista Portuguesa De Cardiologia : Orgao Oficial Da Sociedade Portuguesa De Cardiologia = Portuguese Journal of Cardiology : an Official Journal of the Portuguese Society of Cardiology
|May 20, 1998
PubMed
Summary

This study highlights the difference between association and concordance in clinical methods. It shows that strong association does not guarantee good concordance, emphasizing the need for accurate agreement analysis.

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Area of Science:

  • Medical Statistics
  • Clinical Diagnostics

Background:

  • Accurate assessment of agreement between diagnostic or measurement methods is crucial in clinical practice and research.
  • Traditional statistical methods may incorrectly evaluate concordance, potentially leading to flawed clinical decisions.

Purpose of the Study:

  • To investigate the agreement between two clinically relevant methods.
  • To demonstrate that methods can exhibit strong association but poor concordance.
  • To advocate for the adoption of superior methods for analyzing concordance.

Main Methods:

  • The study likely involved statistical analysis comparing two distinct measurement or diagnostic techniques.
  • Focus on methods that differentiate between association and concordance.

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Main Results:

  • Two methods can demonstrate a significant statistical association.
  • Despite strong association, the concordance between the two methods may be weak, indicating poor agreement in individual measurements.

Conclusions:

  • Statistical association does not equate to clinical concordance.
  • Current methods for analyzing agreement may be inadequate.
  • There is a clinical and research imperative to utilize more accurate and efficient methods for evaluating the concordance of clinical techniques.