Establish a diagnosis differential model for primary membranous nephropathy by machine learning

Status

Active, not recruiting

Phases

Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2200064440

Enrollment

Unknown

Registered

2022-10-08

Start date

2022-10-09

Completion date

Unknown

Last updated

2023-05-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Membranous nephropathy

Interventions

primary membranous nephropathy group:none

non-primary membranous nephropathy group:none

Eligibility

Sex/Gender

All

Age

12 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Primary membranous nephropathy was diagnosed by renal biopsy; 2. Complete clinical data.

Exclusion criteria

Exclusion criteria: 1. Renal pathology has not been confirmed; 2. Secondary glomerular diseases; 3. Complicated with severe infection or acute kidney injury; 4. Pregnant patients, tumors, patients with acquired immune deficiency or other autoimmune diseases.

Design outcomes

Primary

Measure	Time frame
renal function;complement 3;complement 4;	—

Countries

China

Contacts

Public ContactCao Shangmei

Luohe Central Hospital, the First Affiliated Hospital of Luohe Medical College

lyygnyy@sina.com+86 15539580121

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026