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. 2021 May 13;11:10165. doi: 10.1038/s41598-021-89442-7

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Forest plot for variables affecting absolute change in eGFR over 5 years. (A) Crude and fully adjusted data for the whole cohort. Linear regression was adjusted for age, sex and all variables listed. (B) Data for men and women adjusted for age and all variables listed. Regression coefficients (beta) for each variable are depicted for males and females with the corresponding p-value. They refer to a 1 SD change in the respective variable with the exception of age, sex and the presence of albuminuria. If data were log-transformed before analysis this is indicated by (log). AI–augmentation index; ALAT–alanine aminotransferase; BMI–body mass index, BUN–blood urea nitrogen; DBP–diastolic blood pressure; EF–ejection fraction; FMD–flow mediated dilatation; HDL–high density lipoprotein cholesterol; LDL–low density lipoprotein cholesterol; SBP–systolic blood pressure; TG–triglycerides; WBC–white blood cells.