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The EAG on genotoxicity was set up 'with the remit of translating the conclusions reached by the COM into advice for clinicians and patients' (ibid).
b Incidentally, the CSD commissioned the EAG on 'Biological effects of metal wear debris generated from hip implants: genotoxicity' in 2006, in response to a report by the Department of Health's independent expert advisory Committee on Mutagenicity of Chemicals in Food, Consumer Products and the Environment (COM).
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Concern regarding the clinical impact of changing patients' HbA1c values led in 2007 to an agreement between the IFCC and the major diabetes organizations to report IFCC HbA1c results (in millimoles per mole) as the equivalent NGSP DCCT-aligned result (a percentage based on the master equation) and as a calculated eAG based on the A1c-Derived Average Glucose (ADAG) study (209, 222).
This Eag effect on eNO using the combined model estimates also agreed well with the estimates from both the RM and the predictive model.
The translation of A1C to estimated AG (eAG) based on the linear regression is shown in Table 2, for conventional and SI units, and with the 95% prediction limits.
The ADAG study concluded that A1C could be reliably translated into eAG based on the linear relationship between A1C and mean blood glucose measured by continuous glucose monitoring in a mixed population of diabetic and nondiabetic subjects (1).
In this article we describe the results of analyzing further the health data to test the associations between health outcomes and estimates of indoor-generated exposure (Eig) and ambient-generated exposure (Eag) based on subject time location data and estimated particle infiltration efficiency (Finf; the fraction of the outdoor concentration that penetrates indoors and remains suspended).
Furthermore, treating patients based on eAG alone could result in inappropriate medical decisions (2).
To investigate the effect of PTX on EAG dynamics, we looked at fall time constant (τf) as a measure of the termination kinetics of EAG responses.
The objective of this study was to evaluate the effectiveness of EAG to assess joint cartilage degeneration.
A new technique called electroarthrography (EAG) measures electrical potentials on the surface of the knee during joint loading.
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