Why the study?
Echocardiographic measurements must be reproducible, repeatable, and reliable for disease assessment and therapy choices, making it important to understand statistical tests available to assess these parameters.
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Design
Review and practical guide
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Echocardiographers should apply rigorous statistical tests to confirm measurement reliability; this review leaves open optimal method selection in routine practice.
Echocardiography plays an essential role in the diagnosis and assessment of cardiovascular disease. Measurements derived from echocardiography are also used to determine the severity of disease, its progression over time, and to aid in the choice of optimal therapy. It is therefore clinically important that echocardiographic measurements be reproducible, repeatable, and reliable. There are a variety of statistical tests available to assess these parameters, and in this article the authors summarize those available for use by echocardiographers to improve their clinical practice. Correlation coefficients, linear regression, Bland-Altman plots, and the coefficient of variation are explored, along with their limitations. The authors also provide an online tool for the easy calculation of these statistics in the clinical environment (www.birmingham.ac.uk/echo). Quantifying and enhancing the reproducibility of echocardiography has important potential to improve the value of echocardiography as the basis for good clinical decision-making.
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Bunting et al. (2019) studied this question.
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