Kidney Research and Clinical Practice

Search

Page Path

HOME
Search

Study Protocols

Study protocol for a consortium linking health medical records, biospecimens, and biosignals in Korean patients with acute kidney injury (LINKA cohort): Donghwan Yun, Seung Seok Han, Jeonghwan Lee et al.; Received March 2, 2024 Accepted June 28, 2024 Published online November 11, 2024; [Epub ahead of print]; Full text PubReader ePub PDF

Original Articles

Predicting long-term mortality of patients with postoperative acute kidney injury following noncardiac general anesthesia surgery using machine learning: Bo Yeon Choi, Wona Choi, Jiwon Min et al.; Received April 12, 2024 Accepted July 1, 2024 Published online September 26, 2024; [Epub ahead of print]; Full text PubReader ePub PDF Supplementary Material

Conventional machine learning-based prediction models did not outperform the International IgA Nephropathy Prediction Tool: Sehoon Park, Yisak Kim, Chung Hee Baek et al.; Received August 10, 2023 Accepted March 21, 2024 Published online September 12, 2024; [Epub ahead of print]; Full text PubReader ePub PDF Supplementary Material

Validation of prediction model for successful discontinuation of continuous renal replacement therapy: a multicenter cohort study: Junseok Jeon, Eun Jeong Ko, Hyejeong Park et al.; Kidney Res Clin Pract. 2024;43(4):528-537. Published online June 20, 2024; DOI: https://doi.org/10.23876/j.krcp.23.308
Web of Science 1 Cited By 1; Full text PubReader ePub PDF Supplementary Material

Mortality of elderly patients with acute kidney injury undergoing continuous renal replacement therapy: is age a risk factor?: Ji Hye Kim, Sang Hun Eum, Hyoung Woo Kim et al.; Kidney Res Clin Pract. 2024;43(4):505-517. Published online June 13, 2024; DOI: https://doi.org/10.23876/j.krcp.23.313
Web of Science 1 Cited By 1; Full text PubReader ePub PDF Supplementary Material

A questionnaire survey on the diagnosis and treatment of Fabry nephropathy in clinical practice: Soo Jeong Choi, Su Hyun Kim, Min Sung Lee et al.; Kidney Res Clin Pract. 2023;42(5):628-638. Published online June 15, 2023; DOI: https://doi.org/10.23876/j.krcp.22.235
Web of Science 1 Cited By 1; Full text PubReader ePub PDF Supplementary Material

Fabry disease exacerbates renal interstitial fibrosis after unilateral ureteral obstruction via impaired autophagy and enhanced apoptosis: Sungjin Chung, Mina Son, Yura Chae et al.; Kidney Res Clin Pract. 2021;40(2):208-219. Published online May 21, 2021; DOI: https://doi.org/10.23876/j.krcp.20.264
Web of Science 17 Cited By 17; Full text PubReader ePub PDF Supplementary Material

Images in Practice

Posterior nutcracker phenomenon with Down syndrome: Eun Sil Koh, Min Young Kim, Yoon Sik Chang, Sungjin Chung; Kidney Res Clin Pract. 2015;34(4):245-246. Published online November 12, 2015; DOI: https://doi.org/10.1016/j.krcp.2015.10.001
Web of Science 2 Cited By 3; Full text PubReader PDF

Volume 43, No. 6

Kidney Research
and
Clinical Practice

Print ISSN: 2211-9132
Online ISSN: 2211-9140

Impact Factor

2.9

MOST VIEWED MOST CITED

3,586	Unveiling the enigma of acute kidney disease: predicting prognosis, exploring interventions, and embracing a multidisciplinary approach
3,017	Biomarkers in pursuit of precision medicine for acute kidney injury: hard to get rid of customs
7,652	Genetic variants of interferon lambda-related genes and chronic kidney disease susceptibility in the Korean population
11,928	How should we treat acute kidney injury caused by renal congestion?
2,899	Personalized nutritional management in the transition from non-dialysis dependent chronic kidney disease to dialysis

Cited By 33	GLP-1 receptor agonists in diabetic kidney disease: current evidence and future directions
Cited By 22	Association between blood pressure and the risk of chronic kidney disease in treatment-naïve hypertensive patients
Cited By 19	Uremic pruritus: pathophysiology, clinical presentation, and treatments
Cited By 17	Serum cystatin C to creatinine ratio is associated with sarcopenia in non-dialysis-dependent chronic kidney disease
Cited By 17	Deep learning predicts the differentiation of kidney organoids derived from human induced pluripotent stem cells

Editorial Office: #301, (Miseung Bldg.) 23, Apgujenog-ro 30-gil, Gangnam-gu, Seoul 06022, Korea
Tel: +82-2-3486-8736 Fax: +82-2-3486-8737 E-mail: registry@ksn.or.kr

Copyright © 2024 by The Korean Society of Nephrology.