Publications by authors named "E Gonzalez-Lao"
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.
Objectives: The estimates of biological variation (BV) have traditionally been determined using direct methods, which present limitations. In response to this issue, two papers have been published addressing these limitations by employing indirect methods. Here, we present a new procedure, based on indirect methods that analyses data collected within a multicenter pilot study.
View Article and Find Full Text PDFObjectives: Biological variation data (BV) can be used for different applications, but this depends on the availability of robust and relevant BV data. In this study, we aimed to summarize and appraise BV studies for tumor markers, to examine the influence of study population characteristics and concentrations on BV estimates and to discuss the applicability of BV data for tumor markers in clinical practice.
Methods: Studies reporting BV data for tumor markers related to gastrointestinal, prostate, breast, ovarian, haematological, lung, and dermatological cancers were identified by a systematic literature search.
Objectives: Testing for thyroid disease constitutes a high proportion of the workloads of clinical laboratories worldwide. The setting of analytical performance specifications (APS) for testing methods and aiding clinical interpretation of test results requires biological variation (BV) data. A critical review of published BV studies of thyroid disease related measurands has therefore been undertaken and meta-analysis applied to deliver robust BV estimates.
View Article and Find Full Text PDFBackground: Many studies have assessed the biological variation (BV) of cardiac-specific troponins (cTn), reporting widely varying within-subject BV (CVI) estimates. The aim of this study was to provide meta-analysis-derived BV estimates for troponin I (cTnI) and troponin T (cTnT) for different sampling intervals and states of health.
Methods: Relevant studies were identified by a systematic literature search.