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Clinical Chemistry and Laboratory Medicine (CCLM)

Published in Association with the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM)

Editor-in-Chief: Plebani, Mario

Ed. by Gillery, Philippe / Lackner, Karl J. / Lippi, Giuseppe / Melichar, Bohuslav / Payne, Deborah A. / Schlattmann, Peter / Tate, Jillian R.

12 Issues per year


IMPACT FACTOR 2016: 3.432

CiteScore 2016: 2.21

SCImago Journal Rank (SJR) 2016: 1.000
Source Normalized Impact per Paper (SNIP) 2016: 1.112

Online
ISSN
1437-4331
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Volume 49, Issue 5 (May 2011)

Issues

Analytical variability in sport hematology: its importance in an antidoping setting

Giuseppe Banfi / Giovanni Lombardi / Alessandra Colombini / Giuseppe Lippi
  • U.O. di Diagnostica Ematochimica, Dipartimento di Patologia e Medicina di Laboratorio, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
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Published Online: 2011-02-03 | DOI: https://doi.org/10.1515/CCLM.2011.125

Abstract

Hematologic parameters are commonly utilized in sports medicine and antidoping testing. However, there are no universally accepted methodologies for comparing the performance of automated blood analyzer systems. To address this problem, we selected and examined 19 studies from a review of literature published from 2000 to 2010. Meaningful discrepancies were found between measurements obtained with different analytical systems. Because harmonization and clear standardization of methods are lacking, the analytical variability often largely exceeds intra- and inter-individual biological differences, producing equivocal test results unreliable for clinical and antidoping testing. A central criticality to applying the Bayesian approach is analytical variability, but the use of different analytical technologies precludes the comparison of inter-methods for determining the robustness of blood variables and their clinical significance. Therefore, future multicenter studies are needed to compare analytical methodologies and blood analyzer systems, and to establish worldwide-accepted standards and quality control protocols.

Keywords: analytical variability; antidoping; Bayesian approach; biological variability; blood analyzer systems

About the article

Corresponding author: Giuseppe Banfi, I.R.C.C.S. Istituto Ortopedico Galeazzi and School of Medicine, University of Milan, via R. Galeazzi 4, 20161 Milan, Italy Phone: +39 02 6621 4829, Fax: +39 02 6621 4048


Received: 2010-09-15

Accepted: 2010-11-12

Published Online: 2011-02-03

Published in Print: 2011-05-01


Citation Information: Clinical Chemistry and Laboratory Medicine, ISSN (Online) 1437-4331, ISSN (Print) 1434-6621, DOI: https://doi.org/10.1515/CCLM.2011.125.

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©2011 by Walter de Gruyter Berlin New York. Copyright Clearance Center

Citing Articles

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