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The prognosis risk model for rheumatoid arthritis based on integrated clinical and genetic data by using bayesian

The prognosis risk model for rheumatoid arthritis based on integrated clinical and genetic data by using bayesian

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1800017343
Enrollment
Unknown
Registered
2018-07-25
Start date
2018-08-01
Completion date
Unknown
Last updated
2018-07-31

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

Conditions

rheumatoid arthritis

Interventions

Rheumatoid arthritis patients:follow-up

Sponsors

the First Affiliated Hospital, China Medical University, Shenyang, China
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: The study would include 500 patients with explicitly diagnosed RA according to the RA diagnostic criteria which the American society for rheumatology (ACR) revised in 1987,also refer to the 2010 ACR/EULAR criteria for RA diagnosis.

Exclusion criteria

Exclusion criteria: The study have excluded osteoarthritis, ankylosing spondylitis, systemic lupus and other causes of arthritis. Exclude people who don't want to participate.

Design outcomes

Primary

MeasureTime frame
Single nucleotide polymorphism;—

Countries

China

Contacts

Public ContactLingyu Fu

the First Affiliated Hospital, China Medical University, Shenyang, China

fulingyucmu@163.com+86 13940436076

Outcome results

None listed

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