Literature DB >> 16599826

Preanalytical variability: the dark side of the moon in laboratory testing.

Giuseppe Lippi1, Gian Cesare Guidi, Camilla Mattiuzzi, Mario Plebani.   

Abstract

Remarkable advances in instrument technology, automation and computer science have greatly simplified many aspects of previously tedious tasks in laboratory diagnostics, creating a greater volume of routine work, and significantly improving the quality of results of laboratory testing. Following the development and successful implementation of high-quality analytical standards, analytical errors are no longer the main factor influencing the reliability and clinical utilization of laboratory diagnostics. Therefore, additional sources of variation in the entire laboratory testing process should become the focus for further and necessary quality improvements. Errors occurring within the extra-analytical phases are still the prevailing source of concern. Accordingly, lack of standardized procedures for sample collection, including patient preparation, specimen acquisition, handling and storage, account for up to 93% of the errors currently encountered within the entire diagnostic process. The profound awareness that complete elimination of laboratory testing errors is unrealistic, especially those relating to extra-analytical phases that are harder to control, highlights the importance of good laboratory practice and compliance with the new accreditation standards, which encompass the adoption of suitable strategies for error prevention, tracking and reduction, including process redesign, the use of extra-analytical specifications and improved communication among caregivers.

Entities:  

Mesh:

Year:  2006        PMID: 16599826     DOI: 10.1515/CCLM.2006.073

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  61 in total

1.  Influence of a light meal on routine haematological tests.

Authors:  Giuseppe Lippi; Gabriel Lima-Oliveira; Gian Luca Salvagno; Martina Montagnana; Matteo Gelati; Geraldo Picheth; Alberto José Duarte; Massimo Franchini; Gian Cesare Guidi
Journal:  Blood Transfus       Date:  2010-04       Impact factor: 3.443

2.  Errors in medicine and errors in laboratory medicine: what is the difference?

Authors:  Cosimo Ottomano
Journal:  Blood Transfus       Date:  2010-04       Impact factor: 3.443

3.  Preanalytical variability: the dark side of the moon in blood doping screening.

Authors:  Giuseppe Lippi; Giuseppe Banfi; Nicola Maffulli
Journal:  Eur J Appl Physiol       Date:  2010-03-24       Impact factor: 3.078

Review 4.  Pre-analytic variability in cardiovascular biomarker testing.

Authors:  Roberto Cemin; Massimo Daves
Journal:  J Thorac Dis       Date:  2015-10       Impact factor: 2.895

5.  Readers' response and author's reply to "Laboratory results that should be ignored".

Authors:  Giuseppe Lippi; Gian Cesare Guidi
Journal:  MedGenMed       Date:  2006

Review 6.  Banking of biological fluids for studies of disease-associated protein biomarkers.

Authors:  Anne-Sofie Schrohl; Sidse Würtz; Elise Kohn; Rosamonde E Banks; Hans Jørgen Nielsen; Fred C G J Sweep; Nils Brünner
Journal:  Mol Cell Proteomics       Date:  2008-08-01       Impact factor: 5.911

7.  First experiences with neuropsychological effects of oxytocin administration in childhood-onset craniopharyngioma.

Authors:  Anika Hoffmann; Jale Özyurt; Kristin Lohle; Julia Reichel; Christiane M Thiel; Hermann L Müller
Journal:  Endocrine       Date:  2017-02-17       Impact factor: 3.633

8.  Modeling complex workflow in molecular diagnostics: design specifications of laboratory software for support of personalized medicine.

Authors:  Mohamed E Gomah; James P Turley; Huimin Lu; Dan Jones
Journal:  J Mol Diagn       Date:  2009-12-10       Impact factor: 5.568

9.  Sample collection and handling considerations for peptidomic studies in whole saliva; implications for biomarker discovery.

Authors:  Ebbing P de Jong; Susan K van Riper; Joseph S Koopmeiners; John V Carlis; Timothy J Griffin
Journal:  Clin Chim Acta       Date:  2011-08-24       Impact factor: 3.786

Review 10.  Novel bone metabolism-associated hormones: the importance of the pre-analytical phase for understanding their physiological roles.

Authors:  Giovanni Lombardi; Mosè Barbaro; Massimo Locatelli; Giuseppe Banfi
Journal:  Endocrine       Date:  2017-02-08       Impact factor: 3.633

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