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Early Detection of Fabry Disease

NCT05106764 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 50

Last updated 2026-03-16

No results posted yet for this study

Summary

The main aim of this study is early detection of FD using real-world data for the development of advanced natural language processing methods and to develop a predictive algorithm and to measure the performance of the algorithm in identifying participants with FD.

This study is about using data from hospital Electronic Health Record database from the last 10 years to describe the ranking of participants with FD using multilevel likelihood ratios and to validate the algorithm using positive controls. No investigational medicinal product or device will be tested in this study. Hospital electronic health record data will be analyzed for a period of up to 6 months.

Conditions

Interventions

OTHER

No intervention

This is non-interventional study.

Sponsors & Collaborators

Principal Investigators

  • Study Director · Takeda

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-11-30
Primary Completion
2025-12-16
Completion
2025-12-16

Countries

  • Germany

Study Locations

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Entities

Diseases
Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05106764 on ClinicalTrials.gov