Use of Machine Learning Consensus Clustering to Identify Distinct Subtypes of Black Kidney Transplant Recipients and Associated Outcomes-Reference-Cited by-同舟云学术

Use of Machine Learning Consensus Clustering to Identify Distinct Subtypes of Black Kidney Transplant Recipients and Associated Outcomes

Published:2022-07-13 Issue:7 Volume:157 Page:e221286
ISSN:2168-6254
Container-title:JAMA Surgery
language:en
Short-container-title:JAMA Surg

Author:

Thongprayoon Charat¹,Vaitla Pradeep²,Jadlowiec Caroline C.³,Leeaphorn Napat⁴,Mao Shennen A.⁵,Mao Michael A.⁶,Pattharanitima Pattharawin⁷,Bruminhent Jackrapong⁸⁹,Khoury Nadeen J.¹⁰,Garovic Vesna D.¹,Cooper Matthew¹¹,Cheungpasitporn Wisit¹

Affiliation:

1. Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, Minnesota

2. Division of Nephrology, University of Mississippi Medical Center, Jackson

3. Division of Transplant Surgery, Mayo Clinic, Phoenix, Arizona

4. Renal Transplant Program, University of Missouri–Kansas City School of Medicine, Saint Luke’s Health System

5. Division of Transplant Surgery, Mayo Clinic, Jacksonville, Florida

6. Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Jacksonville, Florida

7. Department of Internal Medicine, Faculty of Medicine, Thammasat University, Pathum Thani, Thailand

8. Ramathibodi Excellence Center for Organ Transplantation, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand

9. Division of Infectious Diseases, Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand

10. Department of Nephrology, Department of Medicine, Henry Ford Hospital, Detroit, Michigan

11. Medstar Georgetown Transplant Institute, Washington, DC

Publisher

American Medical Association (AMA)

Subject

Surgery

Link

https://jamanetwork.com/journals/jamasurgery/articlepdf/2791955/jamasurgery_thongprayoon_2022_oi_220020_1657660652.42955.pdf

Reference66 articles.

1. Kidney transplantation as primary therapy for end-stage renal disease: a National Kidney Foundation/Kidney Disease Outcomes Quality Initiative (NKF/KDOQITM) conference.;Abecassis;Clin J Am Soc Nephrol,2008

2. Using renal transplantation to evaluate a simple approach for predicting the impact of end-stage renal disease therapies on patient survival: observed/expected life span.;Becker;Am J Kidney Dis,2000

3. Outcome disparities between African Americans and Caucasians in contemporary kidney transplant recipients.;Taber;Am J Surg,2017

4. Health disparities in kidney transplantation for African Americans.;Harding;Am J Nephrol,2017

5. Influence of race on kidney transplant outcomes within and outside the Department of Veterans Affairs.;Chakkera;J Am Soc Nephrol,2005

Cited by 33 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Clinical stratification of 1318 Primary Sjögren's Syndrome patients;Seminars in Arthritis and Rheumatism;2024-10

2. Unsupervised Clustering Analysis of Regimen and HLA Characteristics in Pediatric Umbilical Cord Blood Transplantation;Transplantation and Cellular Therapy;2024-09

3. Artificial intelligence and machine learning’s role in sepsis-associated acute kidney injury;Kidney Research and Clinical Practice;2024-07-31

4. Association of Sociodemographic Factors With Overtriage, Undertriage, and Value of Care After Major Surgery;Annals of Surgery Open;2024-05-01

5. The transformative potential of artificial intelligence in solid organ transplantation;Frontiers in Transplantation;2024-03-15