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Can I read A Meta-Analysis on the Performance of Cystatin C- versus Creatinine-based eGFR Equations in Predicting Vancomycin Clearance on EtoBox?
A Meta-Analysis on the Performance of Cystatin C- versus Creatinine-based eGFR Equations in Predicting Vancomycin Clearance by Nor Asyikin Mohd Tahir; Shamin Mohd Saffian; Farida Hanim Islahudin; Abdul Halim Abdul Gafor; Mohd Makmor-Bakry is a Medicine article available to read on EtoBox.
What is A Meta-Analysis on the Performance of Cystatin C- versus Creatinine-based eGFR Equations in Predicting Vancomycin Clearance about?
## Background The objective of this study was to compare the performance of cystatin C- and creatinine-based estimated glomerular filtration rate (eGFR) equations in predicting the clearance of vancomycin. ## Methods MEDLINE and Embase databases were searched from inception up to September 2019 to identify all studies that compared the predictive performance of cystatin C- and/or creatinine-based eGFR in predicting the clearance of vancomycin. The prediction errors (PEs) (the value of eGFR equations minus vancomycin clearance) were quantified for each equation and were pooled using a random-effects model. The root mean squared errors were also quantified to provide a metric for imprecision. ## Results This meta-analysis included evaluations of seven different cystatin C- and creatinine-based eGFR equations in total from 26 studies and 1,234 patients. The mean PE (MPE) for cystatin C-based eGFR was 4.378 mL min^−1^ (95% confidence interval [CI], −29.425, 38.181), while the creatinine-based eGFR provided an MPE of 27.617 mL min^−1^ (95% CI, 8.675, 46.560) in predicting clearance of vancomycin. This indicates the presence of unbiased results in vancomycin clearance prediction by the c
Who reads A Meta-Analysis on the Performance of Cystatin C- versus Creatinine-based eGFR Equations in Predicting Vancomycin Clearance?
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- Author
- Nor Asyikin Mohd Tahir; Shamin Mohd Saffian; Farida Hanim Islahudin; Abdul Halim Abdul Gafor; Mohd Makmor-Bakry
- Published
- 2020
- Language
- EN
- Field
- Medicine (Health Sciences)