Predictive models for chronic kidney disease after radical or partial nephrectomy in renal cell cancer using early postoperative serum creatinine levels
Abstract Background Several predictive factors for chronic kidney disease (CKD) following radical nephrectomy (RN) or partial nephrectomy (PN) have been identified. However, early postoperative laboratory values were infrequently considered as potential predictors. Therefore, this study aimed to dev...
Main Authors: | Dongwoo Chae, Na Young Kim, Ki Jun Kim, Kyemyung Park, Chaerim Oh, So Yeon Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2021-07-01
|
Series: | Journal of Translational Medicine |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12967-021-02976-2 |
Similar Items
-
Clinical significance of serum neutrophil gelatinase-associated lipocalin in the early diagnosis of renal function deterioration after radical nephrectomy
by: Taek Sang Kim, et al.
Published: (2018-06-01) -
Prediction of Postoperative Creatinine Levels by Artificial Intelligence after Partial Nephrectomy
by: Tae Young Shin, et al.
Published: (2023-07-01) -
Impaired kidney function in rats six months after unilateral nephrectomy
by: Vlasta Oršić, et al.
Published: (2011-08-01) -
Impact of Laparoscopic Partial Nephrectomy and Open Partial Nephrectomy on Outcomes of Clear Cell Renal Cell Carcinoma
by: Feng Yu, et al.
Published: (2021-07-01) -
Current Status of Laparoscopic Partial Nephrectomy
by: Taek Sang Kim
Published: (2013-12-01)