Fig. 3 | Scientific Reports

Fig. 3

From: Bias-corrected serum creatinine from UK Biobank electronic medical records generates an important data resource for kidney function trajectories

Fig. 3

Descriptive of combined data from electronic Medical Records (eMR)- and study center (SC)-based eGFR. The dataset for eGFR from SC and eMR combined comprised 454,907 individuals with ≥ 1 eGFR assessment and overall 2,102,174 assessments of eGFR derived from bias-corrected creatinine. (A) Shown are age-group-specific eGFR distributions14 based on data from SC (black) and eMR (bias-corrected, green). This was limited to the 1st eGFR assessment from SC or eMR, respectively. We also show eGFR distributions at (B) first and (C) last assessment (omitting 48 extreme values ≥ 150mL/min/1.73m2).

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