Kidney Research and Clinical Practice

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Original Articles

Risk factors for multidrug-resistant organisms and their outcomes in peritoneal dialysis-related peritonitis: a multicenter prospective observational study from the Peritoneal Dialysis Outcomes and Practice Patterns Study (PDOPPS)-Korea: Yohan Park, Jieun Shin, Daun Song et al.; Received September 17, 2025 Accepted November 24, 2025 Published online January 21, 2026; [Epub ahead of print]; Full text PubReader ePub PDF Supplementary Material

Home care program with telemonitoring for patients undergoing peritoneal dialysis in South Korea: a cost-utility analysis: KyungYi Kim, Tae Hyun Kim, Jaeyong Shin et al.; Kidney Res Clin Pract. 2025;44(4):651-663. Published online April 11, 2025; DOI: https://doi.org/10.23876/j.krcp.24.246
Cited By 1; Full text PubReader ePub PDF Supplementary Material

Microstructural and functional connectivity changes of decision-related brain networks in end-stage kidney disease patients undergoing peritoneal dialysis: Jingjing Yin, Dongxue Luo, Shuhua Ma et al.; Received May 27, 2024 Accepted October 16, 2024 Published online January 17, 2025; [Epub ahead of print]; Full text PubReader ePub PDF Supplementary Material

Comparison of clinical outcomes based on dialysis modality and icodextrin usage in patients on peritoneal dialysis: Seok Hui Kang, Jun Young Do; Received January 5, 2024 Accepted July 8, 2024 Published online November 5, 2024; [Epub ahead of print]
Cited By 1; Full text PubReader ePub PDF Supplementary Material

Clinical effects of a home care program for patients with peritoneal dialysis in a tertiary care hospital: KyungYi Kim, Hyung Woo Kim, Beom Seok Kim et al.; Kidney Res Clin Pract. 2025;44(3):510-521. Published online August 7, 2024; DOI: https://doi.org/10.23876/j.krcp.23.160
Web of Science 3 Cited By 3; Full text PubReader ePub PDF Supplementary Material

Impact of glycemic control on residual kidney function and technique failure associated with volume overload in diabetic patients on peritoneal dialysis: Dong Eon Kim, Da Woon Kim, Hyo Jin Kim et al.; Kidney Res Clin Pract. 2025;44(3):481-490. Published online July 24, 2024; DOI: https://doi.org/10.23876/j.krcp.23.251
Cited By 2; Full text PubReader ePub PDF Supplementary Material

Comparative analysis of the incidence and mortality of COVID-19 in Korean end-stage kidney disease patients: hemodialysis, peritoneal dialysis, and transplantation: AJin Cho, Seon A Jeong, Hayne Cho Park et al.; Kidney Res Clin Pract. 2025;44(3):500-509. Published online May 29, 2024; DOI: https://doi.org/10.23876/j.krcp.23.287
Web of Science 1 Cited By 2; Full text PubReader ePub PDF Supplementary Material

Immediate-start peritoneal dialysis without break-in-period: an 18-year retrospective cohort study on patient survival: Jee Young Lee, Hyun-Jin Cho, Yoo-Sun Joo, Hye-Jin Na, Jung-Hwan Park, Young-Il Jo; Kidney Res Clin Pract. 2025;44(2):338-348. Published online February 19, 2024; DOI: https://doi.org/10.23876/j.krcp.23.103; Full text PubReader ePub PDF Supplementary Material

COVID-19 incidence and outcomes among patients with kidney replacement therapy: Siribha Changsirikulchai, Pornpen Sangthawan, Jirayut Janma, Songyos Rajborirug, Thammasin Ingviya; Kidney Res Clin Pract. 2023;42(5):649-659. Published online September 27, 2023; DOI: https://doi.org/10.23876/j.krcp.22.240
Web of Science 6 Cited By 6; Full text PubReader ePub PDF Supplementary Material

Loss of Cutibacterium is responsible for chronic kidney disease-associated pruritus in patients on dialysis: Jeong Geon Lee, Hoonhee Seo, Seung Seob Son et al.; Kidney Res Clin Pract. 2025;44(1):176-188. Published online September 6, 2023; DOI: https://doi.org/10.23876/j.krcp.23.057
Web of Science 3 Cited By 4; Full text PubReader ePub PDF Supplementary Material

The feasibility of incremental peritoneal dialysis for older patients on peritoneal dialysis: Ruihua Liu, Jing Guo, Hongjian Ye et al.; Received September 2, 2022 Accepted April 3, 2023 Published online August 10, 2023; [Epub ahead of print]
Cited By 3; Full text PubReader ePub PDF Supplementary Material

Study Protocol

Shared Decision Making for Choosing renAl Replacement Therapy in Chronic Kidney Disease Patients (SDM-ART trial): study protocol for randomized clinical trial: Jae Hyun Chang, Yong Chul Kim, Sang Heon Song et al.; Kidney Res Clin Pract. 2023;42(6):751-761. Published online April 14, 2023; DOI: https://doi.org/10.23876/j.krcp.22.019
Web of Science 8 Cited By 9; Full text PubReader ePub PDF Supplementary Material

Original Articles

Optimal peritoneal fluid white blood cell count for diagnosis of peritonitis in peritoneal dialysis patients: Margarita Kunin, Sharon Mini, Nabil Abu-Amer, Pazit Beckerman; Kidney Res Clin Pract. 2023;42(1):127-137. Published online September 14, 2022; DOI: https://doi.org/10.23876/j.krcp.21.254
Web of Science 4 Cited By 4; Full text PubReader ePub PDF

Volume 45, No. 1

Kidney Research
and
Clinical Practice

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

Impact Factor

3.8

MOST VIEWED MOST CITED

27,150	The burden of chronic kidney disease in Asia region: a review of the evidence, current challenges, and future directions
10,105	Management of high-flow arteriovenous access
5,392	Safety and efficacy of glucagon-like peptide 1 receptor agonists in solid organ transplant recipients with diabetes mellitus: a systematic review and meta-analysis
8,980	Precision medicine for focal segmental glomerulosclerosis
7,613	Clinical guidelines for the diagnosis, evaluation, and management of hypertension for Korean children and adolescents: the Korean Working Group of Pediatric Hypertension

Cited By 12	Kidney Health Plan 2033 in Korea: bridging the gap between the present and the future
Cited By 12	Pathogenesis and management of renal fibrosis induced by unilateral ureteral obstruction
Cited By 11	Status and trends in epidemiologic characteristics of diabetic end-stage renal disease: an analysis of the 2021 Korean Renal Data System
Cited By 11	School urinary screening program in Japan: history, outcomes, perspectives
Cited By 11	Artificial intelligence and machine learning’s role in sepsis-associated acute kidney injury

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