2013
DOI: 10.1515/cclm-2013-0248
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Abstract: Background: In a planned International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) worldwide study on reference intervals (RIs), a common panel of serum samples is to be measured by laboratories from different countries, and test results are to be compared through conversion using linear regression analysis. This report presents a validation study that was conducted in collaboration with four laboratories. Methods: A panel composed of 80 sera was prepared from healthy individuals, and 45 co… Show more

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Cited by 23 publications
(30 citation statements)
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“…The magnitude of error in converting any RI from one assay platform to another can be estimated either by CV of slope, CV(b), or by SDR [the ratio of the standard error of the converted lower and upper limits, SE(LL) and SE(UL), relative to the SD comprising the converted RI, equal to SDR LL and SDR UL ]. The optimal limit for CV(b) is 5.5% and that for SDR is 0.125 [ 18 ].…”
Section: Cross-comparison Of Valuesmentioning
confidence: 96%
See 3 more Smart Citations
“…The magnitude of error in converting any RI from one assay platform to another can be estimated either by CV of slope, CV(b), or by SDR [the ratio of the standard error of the converted lower and upper limits, SE(LL) and SE(UL), relative to the SD comprising the converted RI, equal to SDR LL and SDR UL ]. The optimal limit for CV(b) is 5.5% and that for SDR is 0.125 [ 18 ].…”
Section: Cross-comparison Of Valuesmentioning
confidence: 96%
“…SDR can be also computed for between-sex SD and between-age SD. The cut-off value of SDR = 0.3 corresponds approximately to the midpoint of desirable and minimal proportion of analytical bias to the betweenindividual SD of 0.25 and 0.375 times the between-individual SD [ 18 ]. However, it is only a guide to consider whether to partition reference values according to that factor.…”
Section: Partitioning Criteriamentioning
confidence: 99%
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“…The statistical approaches used to define reference ranges and decision thresholds are of paramount importance and their scientific validity has to be clearly demonstrated. In this issue, two papers prepared by the Committee on Reference Intervals and Decision Limits (C-RIDL) propose: 1) a statistical methodology to allow transferability of reference intervals for different measurands from different countries using linear regression analysis [ 10 ]; 2) a protocol and standard operation procedures for conducting a multicenter study on reference values in several countries [ 11 ]. The merit of these two papers is to propose original approaches to solve the difficult problem of determining reference values for disparate populations.…”
Section: Progress Towards Standardization: An Ifcc Scientific Divisiomentioning
confidence: 99%