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ROI is a retrospective and prospective registry, finalized for care and research purposes. It is articulated in main sections - strongly related and mutually dependent on each other - corresponding to different data domains: personal information, clinical data, genetic data, genealogical data, surgeries, etc. This approach has been developed to corroborate and integrate data from different sources evaluating several aspects of diseases and to correlate genetic background and phenotypic outcomes, in order to better investigate diseases pathophysiology. Due to legal requirements, institutional directives and organizational issues, we are unable to include individuals residing outside Italy in the registry at this time. We are currently engaged in the preparation of a recruitment process for individuals residing outside Italy.
Full description
The traditional method of collecting patient information is often chaotic, inconvenient and sometimes even unsafe, particularly when dealing with rare diseases. In 2013, the need to simplify the diagnostic process and to overcome the difficulties of data storage and analysis, led to the suggestion of implementing the Registry of Osteogenesis Imperfecta (ROI).
The ROI relies on an IT platform named Genotype-phenotype Data Integration platform - GeDI. This solution was developed through a collaboration between Rare Skeletal Disease Department and a local software company (Dilaxia) and is General Data Protection Regulation (GDPR)-compliant, multi-client and web-accessible. It has been designed according to current medical informatics standards, including the Orphanet code, the International Classification of Diseases (ICD), the Human Genome Variants Society, aiming to follow FAIR (Findability Accessibility Interoperability Reusability) principles. GeDI is continuously being implemented to improve the management of people with Osteogenesis Imperfecta and to assist researchers in analyzing the information collected. ROI is divided into the following main sections:
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5,000 participants in 1 patient group
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Central trial contact
Marcella Lanza, PhD; Marina Mordenti, PhD
Data sourced from clinicaltrials.gov
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