Search
ChatPaper
AI Writing
analysis
Analysis
编组
Open Data
more
More
RankingsMust ReadingJournal&ConferenceAI TRAI HistoryMaster Reading TreeXiaomai's Star TalentsTrajectoryTalentNDI TrackerAI sign LanguageOpen
VIPCreated with Sketch.

Use of Histologic Parameters to Predict Glomerular Disease Progression: Findings From the China Kidney Biopsy Cohort Study.

Xiaodong Zhang,Fan Luo,Ruixuan Chen,Jie Shen,Xiaoting Liu,Yongjun Shi,Qiongqiong Yang,Ting Huang,Hua Li,Ying Hu,Qijun Wan,Chunbo Chen,Nan Jia,Yue Cao,Yanqin Li,Hao Zhao,Licong Su,Peiyan Gao, Xin Xu,Sheng Nie,Fan Fan Hou

American journal of kidney diseases : the official journal of the National Kidney Foundation（2022）

Cited 2|Views6
No score
Abstract
Adding histologic chronicity scores to the KFRE model improved the prediction of kidney disease progression at the time of kidney biopsy in patients with glomerular diseases.
More
Translated text
Key words
disease progression,glomerular disease,histological chronic change,kidney failure risk equation,predictive model
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined