Publications by authors named "W G Bartlett"

Article Synopsis
  • * A systematic search identified 37 studies, but only 16 met the inclusion criteria for the meta-analysis, revealing limited data for specific markers like albumin and the albumin-to-creatinine ratio (ACR).
  • * The findings highlighted inconsistencies in sample collections and reporting units across BV studies, emphasizing the necessity for more compliant research to better assess the risk of chronic kidney disease.
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Objectives: An insulin resistant state is characteristic of patients with type 2 diabetes, polycystic ovary syndrome, and metabolic syndrome. Identification of insulin resistance (IR) is most readily achievable using formulae combining plasma insulin and glucose results. In this study, we have used data from the European Biological Variation Study (EuBIVAS) to examine the biological variability (BV) of IR using the Homeostasis Model Assessment for Insulin Resistance (HOMA-IR) and the Quantitative Insulin sensitivity Check Index (QUICKI).

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There is a need for standards for generation and reporting of Biological Variation (BV) reference data. The absence of standards affects the quality and transportability of BV data, compromising important clinical applications. To address this issue, international expert groups under the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) have developed an online resource (https://tinyurl.

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