The most important while using GlyCulator2 is: the program requires files analyzed to be formatted in a uniform way. Since a user is asked to provide some information about the files, the pieces of information need to hold true for all files provided. If a user wants to analyze two types of files, I recommend to prepare two batches of files and analyze them with GlyCulator2 seperately.
Glyculator2 requires user to submit: (please note that the numbering of columns and rows begins from 1)
To better illustrate what is what in a CGM file, following images of a raw CGM data file are marked with names of input fields.
Further instructions and explanations can be found in a manual document. Click here to download manual.
GlyCulator2 was created by Konrad Pagacz to calculate glycaemic variability indices from raw continuous glucose monitoring (CGM) or flash glucose monitoring (FGM) data. It accepts raw CGM or FGM files in .xls, .xlsx, .csv, .txt formats and calculates the following glycaemic variability indices:
The tool follows guidelines on CGM reporting specified in the International Consensus on Use of Continuous Glucose Monitoring.
M100, J-index were calculated using formulas provided by F. John Service in: Service, F. J. (2013). Glucose Variability. Diabetes, 62(5), 1398–1404. http://doi.org/10.2337/db12-1396.
MAGE algorithm was adapted from: Baghurst, P. A. (2011). Calculating the mean amplitude of glycemic excursion from continuous glucose monitoring data: an automated algorithm. Diabetes Technology & Therapeutics, 13(3), 296–302. https://doi.org/10.1089/dia.2010.0090.
MODD and CONGA algorithms were implemented after: McDonnell, C. M., Donath, S. M., Vidmar, S. I., Werther, G. a, & Cameron, F. J. (2005). A novel approach to continuous glucose analysis utilizing glycemic variation. Diabetes Technology & Therapeutics, 7(2), 253–63. https://doi.org/10.1089/dia.2005.7.253.
GRADE calculations follow: Hill, N. R., Hindmarsh, P. C., Stevens, R. J., Stratton, I. M., Levy, J. C., & Matthews, D. R. (2007). A method for assessing quality of control from glucose profiles. Diabetic Medicine : A Journal of the British Diabetic Association, 24(7), 753–8. https://doi.org/10.1111/j.1464-5491.2007.02119.x.
Further instructions and explanations can be found in a manual document. Click here to download manual.Click here to download the old version of GlyCulator - GlyCulator1.
This software is a part of paper entitled 'GlyCulator2: an update on a web application for calculation of glycemic variability indices' and authored by Konrad Pagacz, Konrad Stawiski, Agnieszka Szadkowska, Wojciech Mlynarski, Wojciech Fendler.
Click here to download old version of GlyCulator - GlyCulator 1.0.
|© Version 2.0 revision 68 (bb052c4f3297dc076dfdf0294de52c264ce4df73)|
Software author, technical issues:
Konrad Pagacz, MD (contact: firstname.lastname@example.org; Department of Biostatistics and Translational Medicine, Medical University of Lodz, Poland)