10:27 Aug 30, 2001 |
Spanish to English translations [PRO] Medical | |||||||
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| Selected response from: Margaret Schroeder Mexico Local time: 12:37 | ||||||
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na | QUICKI values demonstrate a high degree of correlation |
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na | sugerencias abajo |
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QUICKI values demonstrate a high degree of correlation Explanation: This gives a better 'statistical flavor' than your own options in the first doubt (correlation always being a matter of 'degree'). The wording of the second option you propose for the second doubt seems fine to me. |
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sugerencias abajo Explanation: Tus dudas, y las palabras que sugierio cambiar, van entre *...*, seguidos por mis sugerencias entre /.../ ------------------------------------- (Nota que en el caso del *the*// casi al final, sugiero cortarlo nada más.) ------------------------------------- A new index called the QUICKI value (Quantitative Insulin Sensitivity Check Index), expressed as 1/(Log(FPI)+Log(FPG)), has recently been proposed to quantify Insulin Resistance *from*/using/ basal glycemia and insulinemia values (42). It *((SHOWS A STRONG CORRELATION WITH/IS VERY SIMILAR TO))*/shows a strong (HIGH) correlation with/ the insulin sensitivity index derived from the clamp technique and is used fundamentally to evaluate obese patients. It has the drawback, however, of being an adimensional index and, furthermore, *lacks physiological sense*/lacks a direct physiological interpretation/does not make sense physiologically/ *((SINCE A SUM OF VARIABLES HAVING DIFFERENT MEASUREMENT UNITS ARE LOCATED IN THE DENOMINATOR/SINCE THE DENOMINATOR CONSISTS OF A SUM OF VARIABLES HAVING DIFFERENT MEASUREMENT UNITS))*/since the denominator is a sum of variables with different units of measurement/ (Note that given the hyperbolic relationship between insulin sensitivity and Fasting Plasma Insulin, the interaction between *both*/these/ variables is defined mathematically by their product). Finally, QUICKI does not represent an *advance*/improvement/ on *the*// insulin resistance values estimated using the HOMA method, given that its inverse is a linear transformation of Log(HOMA). |
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