Collaboration partners and networks
The KIHD study and the FIND study are included into several international networks, which have been involved and will be involved in several meta-analyses.
The Global Burden of Metabolic Risk Factors of Chronic Diseases Collaborating Group is a worldwide network of clinical and public health researchers and practitioners that has collated a unique dataset on the following risk factors: body mass index (BMI), blood pressure, serum lipids, fasting plasma glucose and diabetes.
The Fatty Acids and Outcomes Research Consortium (FORCE) is a scientific consortium with the aim of understanding how fatty acid biomarkers relate to the risk of developing cardiovascular diseases, diabetes, obesity, cancers, chronic kidney disease, and other conditions.
NCD Risk Factor Collaboration (NCD-RisC) is a network of health scientists around the world that provides rigorous and timely data on risk factors for non-communicable diseases (NCDs) for 200 countries and territories. The group works closely with the World Health Organisation (WHO), through the WHO Collaborating Centre on NCD Surveillance and Epidemiology at Imperial College London. NCD-RisC pools high-quality population-based data using advanced statistical methods, designed specifically for analysing NCD risk factors. The Collaboration currently has data from over 2,000 population-based surveys from 186 countries since 1957, with nearly 25 million participants whose risk factor levels have been measured.
The PROG-IMT Study Group is an international collaboration of scientists with various expertise in neurology, cardiology, pharmacology and other medical fields, and in cardiovascular epidemiology and statistical methodology. Aim of the Study Group is to contribute to a number of unresolved questions in the investigation of cardiovascular and cerebrovascular risk, within the framework of the PROG-IMT project.
D-CarDia is a large-scale collaboration of epidemiological studies, aiming to establish the causal role of vitamin D on cardiovascular disease and related traits using genetic proxy markers.
AVID-mortality consortium includes the Vitamin D & Omega-3 Trial (VITAL, NCT01169259), Vitamin D Assessment Trial (ViDA, ACTRN12611000402943), The International Polycap Study 3 (TIPS-3, CT01646437), The DHealth Trial (ACTRN12613000743763) and FIND (NCT01463813). This task is lead and organised by Dr. Adrian Martineau from the Queen Mary University of London.
NCD Risk Factor Collaboration (NCD-RisC). A century of trends in adult human height. Elife 2016:e13410. doi: 10.7554/eLife.13410.
Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Fatty Acids and Outcomes Research Consortium (FORCe). ω-3 Polyunsaturated Fatty Acid Biomarkers and Coronary Heart Disease: Pooling Project of 19 Cohort Studies. JAMA Intern Med 2016;176:1155-66.
NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4.4 million participants. Lancet 2016;387:1513-30.
NCD Risk Factor Collaboration (NCD-RisC). Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19·2 million participants. Lancet 2016;387:1377-96.
The PROG-IMT study group. Normative values for carotid intima media thickness and its progression: Are they transferrable outside of their cohort of origin? Eur J Prev Cardiol 2016.
The PROG-IMT study group. Inflammatory markers and extent and progression of early atherosclerosis: Meta-analysis of individual-participant-data from 20 prospective studies of the PROG-IMT collaboration. Eur J Prev Cardiol 2016;23:194-205.
NCD Risk Factor Collaboration (NCD-RisC). Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: a pooled analysis of 96 population-based studies with 331288 participants. Lancet Diabetes and Endocrinology 2015;3:624-637.
Carotid Intima-Media Thickness Progression and Risk of Vascular Events in People With Diabetes: Results From the PROG-IMT Collaboration. Diabetes Care 2015;38:1921-1929.
Emerging Risk Factors Collaboration, Di Angelantonio E, et al. Glycated hemoglobin measurement and prediction of cardiovascular disease. JAMA 2014;311:1225-1233.