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Standard Diagnostic Algorithms to Identify Patients with Inflammatory Bowel Disease In Korean National Health Insurance Database

Development and Validation of Standard Diagnostic Algorithms to Identify Patients with Inflammatory Bowel Disease In National Health Administrative Data

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0003168
Enrollment
61200
Registered
2018-09-07
Start date
2018-09-10
Completion date
Unknown
Last updated
2019-03-11

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

Conditions

None listed

Interventions

None listed

Sponsors

Kyung Hee University Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Subjects among subjects having at least 1 claims data with primary or secondary diagnostic codes of Crohn's disease (K50.XX), ulcerative colitis (K51.XX), colon cancer (C18.XX) or infectious colitis (A09.XX) (Random sampling)

Exclusion criteria

Exclusion criteria: NOT APPLICABLE

Design outcomes

Primary

MeasureTime frame
sensitivity of diagnostic algorithms;specificity of diagnostic algorithms;Positive predictive values of diagnostic algorithms;Negative predictive values of diagnostic algorithms—

Secondary

MeasureTime frame
Likelihood ratio of diagnostic algorithms—

Countries

Korea, Republic of

Contacts

Public ContactChang Kyun Lee

Kyung Hee University

gidrlee@daum.net+82-2-958-8263

Outcome results

None listed

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