A Population-based Cohort in Northern Spain

Sponsor
Instituto de Investigación Marqués de Valdecilla
Study ID
NCT05852678
Status
Recruiting
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Conditions

  • Chronic Disease

Eligibility Criteria

Sex
ALL
Age
40 Years - 69 Years
Healthy Volunteers
Accepted

Interventions

  • cohort — OTHER
    The Cantabria Cohort will recruit 40,000-50,000 residents aged 40-69 years at baseline

Study Details

Cantabria Cohort stems from a research and action initiative lead by researchers from Valdecilla Research Institute (IDIVAL), Marqués de Valdecilla University Hospital and University of Cantabria, supported by the regional Goverment. Its aim is to identify and follow up a cohort that would provide information to improve the understanding of the etiology and prognosis of different acute and chronic diseases. The Cantabria Cohort will recruit between 40,000-50,000 residents aged 40-69 years at baseline, representing 10-20% of the target population. Currently, more than 22,000 volunteers have been enrolled. All participants will be invited for a re-assessment every three years, while the overall duration is planned for twenty years. The repeated collection of biomaterials combined with broad information from participant questionnaires, medical examinations, actual health system records and other secondary public data sources is a major strength of its design, which will make it possible to address biological pathways of disease development, identify new factors involved in health and disease, design new strategies for disease prevention, and advance precision medicine. It is conceived to allow access to a large number of researchers worldwide to boost collaboration and medical research.

Key Dates

First listed
May 10, 2023
Start date
Apr 20, 2021
Status verified
Apr 2023
Primary completion
Apr 1, 2045
Completion
Apr 1, 2045

Study Design

Enrollment
22,000 participants (estimated)

Arms

  • Arm: Patient registry
    The Cantabria Cohort will recruit 40,000-50,000 residents aged 40-69 years at baseline

Primary Outcome Measure

Integration and use of real-world data to improve health research [ Time Frame: 20 years ]

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