Literature DB >> 31122610

A practical guide to validation and verification of analytical methods in the clinical laboratory.

Joachim Pum1.   

Abstract

Although the measures to improve quality in the clinical laboratory have been enormous in the past years, not least of all due to the introduction of the ISO standards 15189 and 17025, the handling of validation and verification of method performance often still differs widely from laboratory to laboratory. Much of what is published on the topic contains complex statistics and is difficult to implement in routine laboratories. The result is, that this point is often neglected or implemented incorrectly, which in turn can lead to false conclusions about method performances, potentially compromising patient safety or contributing to incorrect diagnoses. As it has long become a standard requirement for accredited laboratories to evaluate and document the analytical performance of all methods not only prior to their first implementation, but also during ongoing operation, there is a need for clear, standardized and practical guidelines on the subject. This review summarizes the current literature on the topic, focusing on the requirements for method validations, or as the case may be, verifications and describes when to validate, when to verify and which statistical tests are appropriate for each. Proper interpretation of statistical test results and acceptance criteria for each procedure are alluded to. Specific topics, which are addressed, are precision and bias verification of quantitative, qualitative and semi-quantitative procedures, method comparisons with Bland-Altman Plots, Passing-Bablok regression analysis, 2×2 contingency tables and bubble charts, linearity studies, analytical sensitivity and specificity, performing carry-over studies and establishing and confirming reference ranges.
© 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bland-Altman plots; Carryover testing; Linearity studies; Method comparison; Method validation; Passing-Bablok regression; Performance verification; Precision testing; Verification of reference ranges

Mesh:

Year:  2019        PMID: 31122610     DOI: 10.1016/bs.acc.2019.01.006

Source DB:  PubMed          Journal:  Adv Clin Chem        ISSN: 0065-2423            Impact factor:   5.394


  14 in total

1.  Reproducibility of the neurocardiovascular responses to common laboratory-based sympathoexcitatory stimuli in young adults.

Authors:  Gabrielle A Dillon; Zachary S Lichter; Lacy M Alexander; Lauro C Vianna; Jing Wang; Paul J Fadel; Jody L Greaney
Journal:  J Appl Physiol (1985)       Date:  2020-09-17

2.  A high-throughput mass spectrometry-based assay for large-scale profiling of circulating human apolipoproteins.

Authors:  Valentin Blanchard; Damien Garçon; Catherine Jaunet; Kevin Chemello; Stéphanie Billon-Crossouard; Audrey Aguesse; Aya Garfa; Gilles Famchon; Amada Torres; Cédric Le May; Matthieu Pichelin; Edith Bigot-Corbel; Gilles Lambert; Bertrand Cariou; Samy Hadjadj; Michel Krempf; Kalyane Bach-Ngohou; Mikaël Croyal
Journal:  J Lipid Res       Date:  2020-05-13       Impact factor: 5.922

3.  Comparison of untargeted and targeted perfluoroalkyl acids measured in adolescent girls.

Authors:  Lauren M Petrick; Mary S Wolff; Dinesh Barupal; Susan L Teitelbaum
Journal:  Chemosphere       Date:  2021-12-15       Impact factor: 7.086

4.  Sample size, power and effect size revisited: simplified and practical approaches in pre-clinical, clinical and laboratory studies.

Authors:  Ceyhan Ceran Serdar; Murat Cihan; Doğan Yücel; Muhittin A Serdar
Journal:  Biochem Med (Zagreb)       Date:  2020-12-15       Impact factor: 2.313

5.  Validation of a simple liquid chromatography coupled to tandem mass spectrometry method for the simultaneous determination of tacrolimus, sirolimus, everolimus and cyclosporin A in dried matrix on paper discs.

Authors:  Ignacio Guillermo Bressán; María Isabel Giménez; Susana Francisca Llesuy
Journal:  J Mass Spectrom Adv Clin Lab       Date:  2021-02-02

6.  Rapid detection of pesticide in milk, cereal and cereal based food and fruit juices using paper strip-based sensor.

Authors:  Vaishali Dasriya; Ritu Joshi; Soniya Ranveer; Vishal Dhundale; Naresh Kumar; H V Raghu
Journal:  Sci Rep       Date:  2021-09-22       Impact factor: 4.379

7.  Modeling and measuring glucose diffusion and consumption by colorectal cancer spheroids in hanging drops using integrated biosensors.

Authors:  Nassim Rousset; Rubén López Sandoval; Mario Matteo Modena; Andreas Hierlemann; Patrick M Misun
Journal:  Microsyst Nanoeng       Date:  2022-02-01       Impact factor: 7.127

8.  Benzimidazole Derivatives as New and Selective Inhibitors of Arginase from Leishmania mexicana with Biological Activity against Promastigotes and Amastigotes.

Authors:  Irene Betancourt-Conde; Claudia Avitia-Domínguez; Alicia Hernández-Campos; Rafael Castillo; Lilián Yépez-Mulia; Jesús Oria-Hernández; Sara T Méndez; Erick Sierra-Campos; Mónica Valdez-Solana; Siseth Martínez-Caballero; Juan A Hermoso; Antonio Romo-Mancillas; Alfredo Téllez-Valencia
Journal:  Int J Mol Sci       Date:  2021-12-19       Impact factor: 5.923

9.  A method for measuring the experimental resolution of laboratory assays (clinical biochemical, blood count, immunological, and qPCR) to evaluate analytical performance.

Authors:  Chenxi Sun; Dongxia Wang; Henggui Xu; Guang Yang; Xiaomei Yan; Hui Liu
Journal:  J Clin Lab Anal       Date:  2021-11-01       Impact factor: 2.352

10.  Electrochemical sensors for the detection of SARS-CoV-2 virus.

Authors:  Neeraj Kumar; Nagaraj P Shetti; Somanath Jagannath; Tejraj M Aminabhavi
Journal:  Chem Eng J       Date:  2021-10-19       Impact factor: 13.273

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