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Population clearance, volume of distribution, and the baseline magnesium concentration were estimated using the NONMEM program.
To directly compare clearance predictions between the two models, population clearance predictions from the reference model were plotted vs. population clearance predictions from the system-specific model.
The population clearance for each drug was estimated from clinical outcome measures in a population analysis.
The mean population clearance value for VNR was 24.9 l h−1, lower than historical values (Zhou and Rahmani, 1992).
To illustrate the impact of this covariate, estimates of population clearance and terminal half-life at various post-dose RBC requirements were calculated.
In a human population, clearance in different individuals will vary around the true average value, and this variability is generally unrelated to the uncertainty of scaling.
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Figure 4 shows population propofol clearance values vs. age for different TBWs using the final model (model E).
The lowest population oral clearance was assessed in the carriers of genotype * 2/*2 (3.68 L/h) and the highest value in subjects with genotype *17/*17 (31.13 L/h).
As expected, the lowest population oral clearance was assessed in the carriers of genotype 2*/2* (3.68 L/h) and the highest value in subjects with genotype *17/*17 (31.13 L/h).
Forest plots of study heterogeneity additionally found that the estimates of population mean clearance (CL) and volume of distribution (V) tended to be lower in the second compared with the first period of the crossover trials (Supplementary Figure S2), which indicates that patients who received i.v. ARS in the second period tended to have higher drug exposure.
On the other hand, there is growing evidence that in selected patient populations renal clearance is actually augmented, which can lead to inadequate plasma concentrations for some of the important antibiotic groups like carbapenems, beta-lactams and cephalosporins.
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