1469 16 7780 8 44905 document 7780 egfrc Data dictionary.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 39ab5c383d4a249e6d992458ac687c21 MD5 17251 2025-11-05 10:15:24 http://edata.bham.ac.uk/1469/1/egfrc%20Data%20dictionary.xlsx 1469 1 2 application/vnd.openxmlformats-officedocument.spreadsheetml.sheet spreadsheet restricted cc_by_4
egfrc Data dictionary.xlsx
metadata 7781 4 44907 document 7781 egfrc anon baseline.csv text/plain f76b5ffaf2cdee465de5385251d754f4 MD5 72958 2025-11-05 10:18:55 http://edata.bham.ac.uk/1469/2/egfrc%20anon%20baseline.csv 1469 2 1 text/plain text restricted cc_by_4
egfrc anon baseline.csv
data archive 714 disk0/00/00/14/69 2025-12-04 11:45:55 2025-12-04 16:55:06 2025-12-04 11:45:55 data_collection show Sitch Alice a.j.sitch@bham.ac.uk 0000-0001-7727-4497 Research data supporting the publication "Glomerular filtration rate estimation using creatinine and cystatin C: a prospective study of test accuracy in adults with moderate chronic kidney disease" 10col_mede Diabetes status, ethnicity, and other demographic details used to calculate the baseline estimated kidney functions of different estimating formulae included in the file 2025-12-04 published University of Birmingham https://doi.org/10.25500/edata.bham.00001469 Dataset research-data@contacts.bham.ac.uk Institute of Applied Health Research other National Institute for Health and Care Research (NIHR) 11/103/01 yes yes yes TRUE Team leader Ottridge Ryan r.ottridge@bham.ac.uk Accuracy of glomerular filtration rate estimation using creatinine and cystatin C for identifying and monitoring moderate chronic kidney disease: the eGFR-C study pub https://doi.org/10.3310/HYHN1078 IsSupplementTo