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10 years of CEMARA database in the AnDDI-Rares network: a unique resource facilitating research and epidemiology in developmental disorders in France
- Source :
- Orphanet Journal of Rare Diseases, Orphanet Journal of Rare Diseases, 2021, 16 (1), ⟨10.1186/s13023-021-01957-4⟩, Orphanet Journal of Rare Diseases, BioMed Central, 2021, 16 (1), ⟨10.1186/s13023-021-01957-4⟩, Orphanet Journal of Rare Diseases, Vol 16, Iss 1, Pp 1-14 (2021)
- Publication Year :
- 2021
-
Abstract
- Background In France, the Ministry of Health has implemented a comprehensive program for rare diseases (RD) that includes an epidemiological program as well as the establishment of expert centers for the clinical care of patients with RD. Since 2007, most of these centers have entered the data for patients with developmental disorders into the CEMARA population-based registry, a national online data repository for all rare diseases. Through the CEMARA web portal, descriptive demographic data, clinical data, and the chronology of medical follow-up can be obtained for each center. We address the interest and ongoing challenges of this national data collection system 10 years after its implementation. Methods Since 2007, clinicians and researchers have reported the “minimum dataset (MDS)” for each patient presenting to their expert center. We retrospectively analyzed administrative data, demographic data, care organization and diagnoses. Results Over 10 years, 228,243 RD patients (including healthy carriers and family members for whom experts denied any suspicion of RD) have visited an expert center. Among them, 167,361 were patients affected by a RD (median age 11 years, 54% children, 46% adults, with a balanced sex ratio), and 60,882 were unaffected relatives (median age 37 years). The majority of patients (87%) were seen no more than once a year, and 52% of visits were for a diagnostic procedure. Among the 2,869 recorded rare disorders, 1,907 (66.5%) were recorded in less than 10 patients, 802 (28%) in 10 to 100 patients, 149 (5.2%) in 100 to 1,000 patients, and 11 (0.4%) in > 1,000 patients. Overall, 45.6% of individuals had no diagnosis and 6.7% had an uncertain diagnosis. Children were mainly referred by their pediatrician (46%; n = 55,755 among the 121,136 total children referrals) and adults by a medical specialist (34%; n = 14,053 among the 41,564 total adult referrals). Given the geographical coverage of the centers, the median distance from the patient’s home was 25.1 km (IQR = 6.3 km-64.2 km). Conclusions CEMARA provides unprecedented support for epidemiological, clinical and therapeutic studies in the field of RD. Researchers can benefit from the national scope of CEMARA data, but also focus on specific diseases or patient subgroups. While this endeavor has been a major collective effort among French RD experts to gather large-scale data into a single database, it provides tremendous potential to improve patient care.
- Subjects :
- Adult
0301 basic medicine
medicine.medical_specialty
Resource (biology)
Databases, Factual
Epidemiology
Developmental Disabilities
Population
030105 genetics & heredity
computer.software_genre
03 medical and health sciences
Rare Diseases
0302 clinical medicine
Data warehouse
Care organization
Humans
Medicine
Pharmacology (medical)
030212 general & internal medicine
Medical diagnosis
Child
education
Genetics (clinical)
Retrospective Studies
education.field_of_study
Database
business.industry
Research
Developmental disorders
General Medicine
3. Good health
[SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics
Uncertain diagnosis
Christian ministry
France
business
computer
Rare disease
[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Subjects
Details
- Language :
- English
- ISSN :
- 17501172
- Database :
- OpenAIRE
- Journal :
- Orphanet Journal of Rare Diseases, Orphanet Journal of Rare Diseases, 2021, 16 (1), ⟨10.1186/s13023-021-01957-4⟩, Orphanet Journal of Rare Diseases, BioMed Central, 2021, 16 (1), ⟨10.1186/s13023-021-01957-4⟩, Orphanet Journal of Rare Diseases, Vol 16, Iss 1, Pp 1-14 (2021)
- Accession number :
- edsair.doi.dedup.....d799c0b0c50f4afab671d6ee557d3dc1
- Full Text :
- https://doi.org/10.1186/s13023-021-01957-4⟩