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European Heart Journal Advance Access originally published online on November 9, 2007
European Heart Journal 2008 29(1):138; doi:10.1093/eurheartj/ehm505
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Published on behalf of the European Society of Cardiology. All rights reserved. © The Author 2007. For permissions please email: journals.permissions@oxfordjournals.org

Comparison of different methods of measurement of aspirin resistance: using the appropriate statistic

Marzia Lotrionte

Institute of Cardiology
Catholic University
Rome, Italy

Giuseppe G.L. Biondi-Zoccai

Interventional Cardiology
Division of Cardiology
University of Turin
Corso Bramante 88–90
Turin 1016
Italy
Tel: +39 3408626829
Fax: +39 0184502244
Email: gbiondizoccai{at}gmail.com

Pierfrancesco Agostoni

Antwerp Cardiovascular Institute Middelheim
AZ Middelheim
Antwerp
Belgium

Imad Sheiban

Interventional Cardiology
Division of Cardiology
University of Turin
Turin, Italy

We have read with interest the recent article by Lordkipanidzé et al.1 on the comparison of six different assays of platelet function in order to more accurately appraise the incidence and features of aspirin resistance among patients with stable coronary heart disease. Indeed, the bulk of their work rests on the use of non-parametric correlation tests between different assay types. Unfortunately, this approach has drawbacks, as already clarified by Bland and Altman in 1986.2

To borrow the words of Bland and Altman: ‘in the analysis of measurement method comparison data, neither the correlation coefficient ... nor techniques such as regression analysis3 are appropriate’. They thus suggested replacing these misleading analyses with their (at that time) novel method, indeed ‘simple both to do and to interpret’. Moreover, ‘the same method may be used to analyse the repeatability of a single measurement method or to compare measurements by two observers’.

Despite that this specific methodological article is among the 10 most quoted in the whole statistical literature (and currently associated with over 10 000 citations in the scientific literature),4 the Bland – Altman method is commonly overlooked. We thus recommend Lordkipanidzé et al. to further strengthen their work and impact on clinical researchers by providing results of analyses based on the Bland–Altman method.

References

  1. Lordkipanidzé M, Pharand C, Schampaert E, Turgeon J, Palisaitis DA, Diodati JG. A comparison of six major platelet function tests to determine the prevalence of aspirin resistance in patients with stable coronary artery disease. Eur Heart J (2007) 28:1702–1708.[Abstract/Free Full Text]
  2. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet (1986) i:307–310.
  3. Altman DG, Bland JM. Measurement in medicine: the analysis of method comparison studies. The Statistician (1983) 32:307–317.[CrossRef]
  4. Ryan TP, Woodall WH. The most-cited statistical papers. J Appl Stat (2005) 32:461–474.[CrossRef][Web of Science]

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