COST-EFFECTIVENESS OF POINT-OF-CARE ALBUMINURIA TESTING FOR CHRONIC KIDNEY DISEASE SCREENING IN CHINA

 

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E-Poster Presentation

During the congress, E-Posters will be accessible to all participants on the congress website 24/7, as well as in the E-poster stations in the congress center. 

Preparing your E-Poster

Please review the E-Poster format requirements carefully when preparing your E-Poster. Should your E-Poster not meet the mentioned requirements, it may not be displayed as described above.

​E-Poster Submission Deadline

Please prepare and upload your E-Poster no later than March 14, 2026 11.59PM CET. After this date, you will no longer be able to prepare and upload your E-poster and it will not be displayed and accessible on the congress website.​

E-Poster Format Requirements
  • PDF file
  • Layout: Portrait (vertical orientation)
  • One page only (Dim A4: 210 x 297mm or PPT)
  • E-Poster can be prepared in PowerPoint (one (1) PowerPoint slide) but must be saved and submitted as PDF file.
  • File Size: Maximum file size is 2 Megabytes (2 MB)
  • No hyperlinks, animated images, animations, and slide transitions
  • Language: English
  • Include your abstract number
  • E-posters can include QR codes, tables and photos
https://storage.unitedwebnetwork.com/files/1099/e5de8dcafe51d9f4ce1d7396c370deb6.pdf
COST-EFFECTIVENESS OF POINT-OF-CARE ALBUMINURIA TESTING FOR CHRONIC KIDNEY DISEASE SCREENING IN CHINA

Please follow the instructions below to input your abstract title.

Abstract titles should be brief and reflect the content of the abstract.

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Shuhan
Chen
Shuhan Chen 1114889747@qq.com Peking University First Hospital Renal Division, Department of Medicine Beijing China * Peking University Institute of Nephrology; Key Laboratory of Renal Disease, Ministry of Health of China; Key Laboratory of Chronic Kidney Disease Prevention and Treatment, Ministry of Education Beijing China Chinese Academy of Medical Sciences Research Units of Diagnosis and Treatment of Immune-mediated Kidney Diseases Beijing China
Fengyu Wen wenfy1207@qq.com Peking University National Institute of Health Data Science Beijing China - Peking University Health Science Center Institute of Medical Technology Beijing China
Jinwei Wang gslzwjw@163.com Peking University First Hospital Renal Division, Department of Medicine Beijing China - Peking University Institute of Nephrology; Key Laboratory of Renal Disease, Ministry of Health of China; Key Laboratory of Chronic Kidney Disease Prevention and Treatment, Ministry of Education Beijing China Chinese Academy of Medical Sciences Research Units of Diagnosis and Treatment of Immune-mediated Kidney Diseases Beijing China
Chao Yang pkuyangchao@126.com Peking University First Hospital Center for Digital Health and Artificial Intelligence Beijing China - Peking University Advanced Institute of Information Technology Hangzhou China
Fulin Wang wangfulin0103@163.com Peking University National Institute of Health Data Science Beijing China - Peking University Health Science Center Institute of Medical Technology Beijing China
Jingyi Wu joywu@pku.edu.cn Peking University Advanced Institute of Information Technology Hangzhou China -
Pengfei Li pfli@bjmu.edu.cn Peking University Advanced Institute of Information Technology Hangzhou China - Peking University School of Nursing Beijing China
Yan Li yanliacademic@gmail.com Shanghai Jiao Tong University School of Medicine School of Public Health Shanghai China - Icahn School of Medicine at Mount Sinai Department of Population Health Science and Policy New York United States
Luxia Zhang zhanglx@bjmu.edu.cn Peking University First Hospital Renal Division, Department of Medicine Beijing China - Peking University National Institute of Health Data Science Beijing China Peking University First Hospital Center for Digital Health and Artificial Intelligence Beijing China