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Development and validation of a machine learning model to predict anti-drug antibody formation in crohn’s disease

Development and validation of a machine learning model to predict anti-drug antibody formation in crohn’s disease

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500106419
Enrollment
Unknown
Registered
2025-07-23
Start date
2025-07-25
Completion date
Unknown
Last updated
2025-08-18

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

Conditions

Crohn’s disease

Interventions

ADA-positive group and ADA-negative group:None

Sponsors

The Sixth Affiliated Hospital of Sun Yat-Sen University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: (1) age between 18 and 75 years; (2) a confirmed diagnosis of CD in accordance with current clinical guidelines; (3) receipt of at least four IFX infusions, either in outpatient or inpatient settings; (4) availability of complete clinical documentation.

Exclusion criteria

Exclusion criteria: (1) pregnancy or breastfeeding; (2) incomplete IFX induction phase (i.e., less than 14 weeks); (3) missing critical clinical data.

Design outcomes

Primary

MeasureTime frame
ADA positive;—

Countries

China

Contacts

Public ContactWang Yiting

The Sixth Affiliated Hospital of Sun Yat-Sen University

wangyt65@mail.sysu.edu.cn+86 132 6826 7558

Outcome results

None listed

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