Literature DB >> 29949508

Uncertainty in measurement and total error: different roads to the same quality destination?

Ian Farrance1, Tony Badrick2, Robert Frenkel3.   

Abstract

The debate comparing the benefits of measurement uncertainty (uncertainty in measurement, MU) with total error (TE) for the assessment of laboratory performance continues. The summary recently provided in this journal by members of the Task and Finish Group on Total Error (TFG-TE) of the EFLM put the arguments into clear perspective. Even though there is generally strong support for TE in many laboratories, some of the arguments proposed for its on-going support require further comment. In a recent opinion which focused directly on the TFG-TE summary, several potentially confusing statements regarding ISO15189 and the Evaluation of measurement data - Guide to the expression of uncertainty in measurement (GUM) were again promulgated to promote TE methods for assessing uncertainty in laboratory measurement. In this opinion, we present an alternative view of the key issues and outline our views with regard to the relationship between ISO15189, uncertainty in measurement and the GUM.

Entities:  

Keywords:  ISO15189; bias; estimated glomerular filtration rate (eGFR); measurement uncertainty; total error; uncertainty in measurement

Mesh:

Year:  2018        PMID: 29949508     DOI: 10.1515/cclm-2018-0421

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


  4 in total

1.  Analytical Performance Specifications for 25-Hydroxyvitamin D Examinations.

Authors:  Etienne Cavalier; Callum G Fraser; Harjit P Bhattoa; Annemieke C Heijboer; Konstantinos Makris; Candice Z Ulmer; Hubert W Vesper; Samuel Vasikaran; Pierre Lukas; Pierre Delanaye; Anna Carobene
Journal:  Nutrients       Date:  2021-01-28       Impact factor: 5.717

2.  Effect of haemolysis on an enzymatic measurement of ethanol.

Authors:  Abdulkadir Çat; Kamil Taha Uçar; Alper Gümüş
Journal:  Biochem Med (Zagreb)       Date:  2020-12-15       Impact factor: 2.313

3.  Interlaboratory Comparison as a Source of Information for the Product Evaluation Process. Case Study of Ceramic Tiles Adhesives.

Authors:  Cristina Stancu; Jacek Michalak
Journal:  Materials (Basel)       Date:  2021-12-29       Impact factor: 3.623

Review 4.  The top-down approach to measurement uncertainty: which formula should we use in laboratory medicine?

Authors:  Flávia Martinello; Nada Snoj; Milan Skitek; Aleš Jerin
Journal:  Biochem Med (Zagreb)       Date:  2020-04-15       Impact factor: 2.313

  4 in total

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