default author photo

Jin Shang

Zhengzhou University - Department of Nephrology

Zhengzhou

China

SCHOLARLY PAPERS

3

DOWNLOADS

183

TOTAL CITATIONS

3

Scholarly Papers (3)

1.

Predictive Power of Gut Microbiome in the Clinical or Pathological Diagnosis of Diabetic Kidney Disease

Number of pages: 67 Posted: 30 Oct 2020
Zhengzhou University - Department of Nephrology, Zhengzhou University, First Affiliated Hospital, Department of Infectious Disease, Department of Infectious Diseases, the First Affiliated Hospital of Zhengzhou University, Department of Nephrology, the First Affiliated Hospital of Zhengzhou Univerity,, Department of Nephrology, the First Affiliated Hospital of Zhengzhou University, Shanghai Mobio Biomedical Technology Co., Ltd, Shanghai Mobio Biomedical Technology Co., Ltd, Department of Nephrology, the First Affiliated Hospital of Zhengzhou University, Department of Nephrology, the First Affiliated Hospital of Zhengzhou University, Jilin University (JLU) - State Key Laboratory of Integrated Optoelectronics, Department of Physical Examination Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou University - Department of Nephrology and Zhengzhou University - Department of Nephrology
Downloads 77 (830,555)
Citation 3

Abstract:

Loading...

Gut microbiome, clinically diagnosed diabetic kidney disease, diabetes mellitus, pathologically diagnosed diabetic nephropathy, membranous nephropathy

2.

Comparing Estimated Protein Excretion Rate (Eper) and Spot Urinary Protein-Creatinine Ratio (Upcr) in Assessing Urinary Protein Excretion in Patients with Kidney Disease in China: A Single-Center Study

Number of pages: 27 Posted: 27 Jun 2024
Zhengzhou University, Zhengzhou University, Zhengzhou University, Zhengzhou University - Department of Nephrology and Zhengzhou University - Department of Nephrology
Downloads 66 (907,769)

Abstract:

Loading...

Kidney Disease, Urinary protein excretion, ePER, uPCR

3.

Machine Learning–Based Prediction of Progression To End-Stage Renal Disease in Biopsy-Proven Diabetic Nephropathy: A Comparative and Interpretable Survival Modeling Study

Number of pages: 43 Posted: 04 Mar 2026
Zhengzhou University, Zhengzhou University, Zhengzhou University, Zhengzhou University, Zhengzhou University, Zhengzhou University, Zhengzhou University, Zhengzhou University, Zhengzhou University, Zhengzhou University and Zhengzhou University - Department of Nephrology
Downloads 40 (1,236,159)

Abstract:

Loading...

Diabetic nephropathy, End-stage renal disease, Machine learning, Predictive model, Survival analysis, SHAP