This work is licensed under the Creative Commons Attribution 4.0 International License.
ISO 17043:2023 Conformity Assessment-General requirements for the competence of proficiency testing providers (ISO/IEC 17043:2023).Search in Google Scholar
ISO 15189: 2022 Medical Laboratories- Requirements for Quality and Competence.Search in Google Scholar
Eptis Database for PT Providers. https://www.eptis.bam.de/eptis/. Accessed January 2025.Search in Google Scholar
CLIA 2025 Acceptance Limits for Proficiency Testing. https://westgard.com/clia-a-quality/quality-requirements/2024-clia-requirements.html. Accessed January 2025.Search in Google Scholar
French EQA performance specifications. https://westgard.com/clia-a-quality/quality-requirements/french-eqa-goals.html. Accessed January 2025.Search in Google Scholar
A selection of SEKK-DMax specifications https://westgard.com/clia-a-quality/quality-requirements/sekk-dmax.html. Accessed January 2025.Search in Google Scholar
Buchta C, Marrington R, De la Salle B, Albarède S, Badrick T, Bietenbeck A, et al. Behind the scenes of EQA - characteristics, capabilities, benefits and assets of external quality assessment (EQA): Part I - EQA in general and EQA programs in particular. Clin Chem Lab Med. 2025 aop. DOI: 10.1515/cclm-2024-1289Search in Google Scholar
Eurachem Guide: Selection, Use and Interpretation of Proficiency Testing (PT) Schemes, 3rd Edition. 2021.Search in Google Scholar
Sandberg S, Fauskanger P, Johansen JV, Keller T, Budd J, Greenberg N, et al. IFCC Working Group on Commutability in Metrological Traceability. Recommendations for Setting a Criterion and Assessing Commutability of Sample Materials Used in External Quality Assessment/Proficiency Testing Schemes. Clin Chem. 2023 2;69(11):1227-37. DOI: 10.1093/clinchem/hvad135Search in Google Scholar
EFLM Biological Variation Database: https://biologicalvariation.eu. Accessed January 2025.Search in Google Scholar
American Diabetes Association Professional Practice Committee; 2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes-2024. Diabetes Care. 2024;47(S1):S20-S42. DOI: 10.2337/dc24-S002Search in Google Scholar
Howerton D, Krolak JM, Manasterski A, Handsfield JH. Proficiency Testing Performance in US Laboratories: Results Reported to the Centers for Medicare & Medicaid Services, 1994 Through 2006. Arch Pathol Lab Med. 2010 134(5):751-8. DOI: 10.5858/134.5.751Search in Google Scholar
Gidske G, Sandberg S, Fauskanger P, Pelanti J, Tollånes M, Solsvik A, et. al. Aggregated data from the same laboratories participating in two glucose external quality assessment schemes show that commutability and transfers of values to control materials are decisive for the biases found. Clin Chem Lab Med. 2024;62(1):77-84. DOI: 10.1515/cclm-2023-0532Search in Google Scholar
Mach F, Baigent C, Catapano AL, Koskinas KC, Casula M, Badimon L, et al. ESC Scientific Document Group, 2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk: The Task Force for the management of dyslipidaemias of the European Society of Cardiology (ESC) and European Atherosclerosis Society (EAS). Eur Heart J. 2020;41(1):111-8.Search in Google Scholar
Robbins N, Shepherd S, Graham P. Cholesterol measurement - unexpected results in a commutable EQA program. Pathology. 2022;54(S1):S65-S66. DOI: 10.1016/j.pathol.2021.12.214Search in Google Scholar
WEQAS website https://www.weqas.com/services/referencelab/gcms-cholesterol. Accessed January 2025.Search in Google Scholar
Hedwig C, Stepman M, Tiikkainen U, Stöckl D, Vesper HW, Edwards SH, et al. on behalf of the participating laboratories. Measurements for 8 Common Analytes in Native Sera Identify Inadequate Standardization among 6 Routine Laboratory Assays. Clin Chem. 2014;60(6):855-63. DOI: 10.1373/clinchem.2013.220376Search in Google Scholar
Meng Q, Zhou W, Zhang C, Zeng J, Zhao H, Zhang T, et al. Serum triglyceride measurements: the commutability of reference materials and the accuracy of results. Clin Chem Lab Med. 2017 55(9):1284-90. DOI: 10.1515/cclm-2016-0682Search in Google Scholar
Borge G, Langlois MR, Langsted A, Chapman JM, Aakre KM, Baum H et al. Quantifying atherogenic lipoproteins for lipid-lowering strategies: Consensus-based recommendations from EAS and EFLM, Atherosclerosis, 2020 294: 46 - 61. DOI: 10.1016/j.atherosclerosis.2019.12.005Search in Google Scholar
Miller WG, Myers GL, Sakurabayashi I, Bachmann LM, Caudill SP, Dziekonski a et al. Seven direct methods for measuring HDL and LDL cholesterol compared with ultracentrifugation reference measurement procedures, Clin Chem 2010 56: 977-986. DOI: 10.1373/clinchem.2009.142810Search in Google Scholar
Langlois MR, Descamps OS, van der Laarse A, Weykamp C, Baum H, Pulkki K, et al. Clinical impact of direct HDLc and LDLc method bias in hypertriglyceridemia. A simulation study of the EAS-EFLM Collaborative Project Group. Atherosclerosis. 2014;233:83-90. DOI: 10.1016/j.atherosclerosis.2013.12.016Search in Google Scholar
Zhou W, Luo W, Yu S, Li H, Wang D, Zhang J, et al. Performance of HDL-C measurements assessed by a 4-year trueness-based EQA/PT program in China. Clin Chem Lab Med. 2022;60(10):1586-97. DOI: 10.1515/cclm-2020-0658Search in Google Scholar
Cordeiro F, Emons H, Robouch P. Is the z score sufficient to assess participants’ performance in proficiency testing? The hidden corrective action. Accreditation and Quality Assurance. 2022;27:145-53. DOI: 10.1007/s00769-022-01496-wSearch in Google Scholar