| Title |
Ophthalmic epidemiology in Europe: the “European Eye Epidemiology” (E3) consortium
|
|---|---|
| Published in |
European Journal of Epidemiology, December 2015
|
| DOI | 10.1007/s10654-015-0098-2 |
| Pubmed ID | |
| Authors |
Cécile Delcourt, Jean-François Korobelnik, Gabriëlle H. S. Buitendijk, Paul J. Foster, Christopher J. Hammond, Stefano Piermarocchi, Tunde Peto, Nomdo Jansonius, Alireza Mirshahi, Ruth E. Hogg, Lionel Bretillon, Fotis Topouzis, Gabor Deak, Jakob Grauslund, Rebecca Broe, Eric H. Souied, Catherine Creuzot-Garcher, José Sahel, Vincent Daien, Terho Lehtimäki, Hans-Werner Hense, Elena Prokofyeva, Konrad Oexle, Jugnoo S. Rahi, Phillippa M. Cumberland, Steffen Schmitz-Valckenberg, Sascha Fauser, Geir Bertelsen, Carel Hoyng, Arthur Bergen, Rufino Silva, Sebastian Wolf, Andrew Lotery, Usha Chakravarthy, Astrid Fletcher, Caroline C. W. Klaver |
| Abstract |
The European Eye Epidemiology (E3) consortium is a recently formed consortium of 29 groups from 12 European countries. It already comprises 21 population-based studies and 20 other studies (case-control, cases only, randomized trials), providing ophthalmological data on approximately 170,000 European participants. The aim of the consortium is to promote and sustain collaboration and sharing of data and knowledge in the field of ophthalmic epidemiology in Europe, with particular focus on the harmonization of methods for future research, estimation and projection of frequency and impact of visual outcomes in European populations (including temporal trends and European subregions), identification of risk factors and pathways for eye diseases (lifestyle, vascular and metabolic factors, genetics, epigenetics and biomarkers) and development and validation of prediction models for eye diseases. Coordinating these existing data will allow a detailed study of the risk factors and consequences of eye diseases and visual impairment, including study of international geographical variation which is not possible in individual studies. It is expected that collaborative work on these existing data will provide additional knowledge, despite the fact that the risk factors and the methods for collecting them differ somewhat among the participating studies. Most studies also include biobanks of various biological samples, which will enable identification of biomarkers to detect and predict occurrence and progression of eye diseases. This article outlines the rationale of the consortium, its design and presents a summary of the methodology. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 2% |
| Unknown | 61 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 18% |
| Other | 8 | 13% |
| Student > Master | 8 | 13% |
| Researcher | 7 | 11% |
| Student > Doctoral Student | 4 | 6% |
| Other | 9 | 15% |
| Unknown | 15 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 45% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Nursing and Health Professions | 4 | 6% |
| Agricultural and Biological Sciences | 2 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 4 | 6% |
| Unknown | 19 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 December 2015.
All research outputs
#14,830,609
of 22,836,570 outputs
Outputs from European Journal of Epidemiology
#1,291
of 1,624 outputs
Outputs of similar age
#216,389
of 388,809 outputs
Outputs of similar age from European Journal of Epidemiology
#12
of 13 outputs
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