ArticleJournal of clinical laboratory analysis2021
Evaluation of the analytical performance of endocrine analytes using sigma metrics.
Article in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A comparative study of sigma metrics and statistical quality control rules in clinical biochemistry laboratories using a Cobas pure analyzer.Journal of family medicine and primary care · 2026Article
- Biological variation of thyroid stimulating hormone, free triiodothyronine and free thyroxine in healthy subjects in Turkey.Biochemia medica · 2025Article
- Evaluation of Sigma Metrics and Westgard Rule Selection and Implementation of Internal Quality Control in Clinical Chemistry Reference Laboratory, Ethiopian Public Health Institute.Indian journal of clinical biochemistry : IJCB · 2022Article
- Application of Sigma metrics in the quality control strategies of immunology and protein analytes.Journal of clinical laboratory analysis · 2021Article
- Application of a six sigma model to evaluate the analytical performance of urinary biochemical analytes and design a risk-based statistical quality control strategy for these assays: A multicenter study.Journal of clinical laboratory analysis · 2021Article
- Evaluation of the analytical performance of endocrine analytes using sigma metrics.Journal of clinical laboratory analysis · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
background(a) To evaluate the clinical performance of endocrine analytes using the sigma metrics (σ) model. (b) To redesign quality control strategies for performance improvement.
methodsThe sigma values of the analytes were initially evaluated based on the allowable total error (TEa), bias, and coefficient of variation (CV) at QC materials level 1 and 2 in March 2018. And then, the normalized QC performance decision charts, personalized QC rules, quality goal index (QGI) analysis, and root causes analysis (RCA) were performed based on the sigma values of the analytes. Finally, the sigma values were re-evaluated in September 2018 after a series of targeted corrective actions.
resultsBased on the initial sigma values, two analytes (FT3 and TSH) with σ > 6, only needed one QC rule (1
conclusionsIt was demonstrated that the combination of sigma metrics, QGI analysis, and RCA provided a useful evaluation system for the analytical performance of endocrine analytes.
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Registered trials
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