scispace - formally typeset
Search or ask a question
Institution

Clinical Trial Service Unit

About: Clinical Trial Service Unit is a based out in . It is known for research contribution in the topics: Population & Stroke. The organization has 428 authors who have published 1387 publications receiving 181920 citations.


Papers
More filters
Journal ArticleDOI
TL;DR: This established large biobank will be a rich and powerful resource for investigating genetic and non-genetic causes of many common chronic diseases in the Chinese population.
Abstract: Background Large blood-based prospective studies can provide reliable assessment of the complex interplay of lifestyle, environmental and genetic factors as determinants of chronic disease. Methods The baseline survey of the China Kadoorie Biobank took place during 2004-08 in 10 geographically defined regions, with collection of questionnaire data, physical measurements and blood samples. Subsequently, a re-survey of 25,000 randomly selected participants was done (80% responded) using the same methods as in the baseline. All participants are being followed for cause-specific mortality and morbidity, and for any hospital admission through linkages with registries and health insurance (HI) databases. Results Overall, 512,891 adults aged 30-79 years were recruited, including 41% men, 56% from rural areas and mean age was 52 years. The prevalence of ever-regular smoking was 74% in men and 3% in women. The mean blood pressure was 132/79 mmHg in men and 130/77 mmHg in women. The mean body mass index (BMI) was 23.4 kg/m(2) in men and 23.8 kg/m(2) in women, with only 4% being obese (>30 kg/m(2)), and 3.2% being diabetic. Blood collection was successful in 99.98% and the mean delay from sample collection to processing was 10.6 h. For each of the main baseline variables, there is good reproducibility but large heterogeneity by age, sex and study area. By 1 January 2011, over 10,000 deaths had been recorded, with 91% of surviving participants already linked to HI databases. Conclusion This established large biobank will be a rich and powerful resource for investigating genetic and non-genetic causes of many common chronic diseases in the Chinese population.

628 citations

Journal ArticleDOI
Nadeem Sarwar1, Adam S. Butterworth1, Daniel F. Freitag1, John Gregson1, Peter Willeit1, Donal Gorman1, Pei Gao1, Danish Saleheen1, Augusto Rendon1, Christopher P. Nelson1, Peter S. Braund1, Alistair S. Hall1, Daniel I. Chasman1, Anne Tybjærg-Hansen1, John C. Chambers1, Emelia J. Benjamin1, Paul W. Franks, Robert Clarke1, Arthur A. M. Wilde1, Mieke D. Trip1, Maristella Steri1, Jacqueline C. M. Witteman1, Lu Qi1, C. Ellen van der Schoot1, Ulf de Faire1, Jeanette Erdmann1, Heather M. Stringham1, Wolfgang Koenig1, Daniel J. Rader1, David Melzer1, David Reich1, Bruce M. Psaty1, Marcus E. Kleber1, Demosthenes B. Panagiotakos1, Johann Willeit1, Patrik Wennberg1, Mark Woodward1, Svetlana Adamovic1, Eric B. Rimm1, Tom W. Meade1, Richard F. Gillum1, Jonathan A. Shaffer1, Albert Hofman1, Altan Onat1, Johan Sundström1, S. Wassertheil-Smoller1, Dan Mellström1, John Gallacher1, Mary Cushman1, Russell P. Tracy2, Jussi Kauhanen3, Magnus Karlsson, Jukka T. Salonen4, Lars Wilhelmsen5, Philippe Amouyel6, Bernard Cantin7, Lyle G. Best, Yoav Ben-Shlomo, JoAnn E. Manson8, George Davey-Smith2, Paul I.W. de Bakker8, Christopher J. O'Donnell8, James F. Wilson9, Anthony G. Wilson10, Themistocles L. Assimes11, John-Olov Jansson5, Claes Ohlsson5, Åsa Tivesten5, Östen Ljunggren12, Muredach P. Reilly13, Anders Hamsten14, Erik Ingelsson14, François Cambien15, Joseph Hung, G. Neil Thomas16, Michael Boehnke17, Heribert Schunkert18, Folkert W. Asselbergs19, John J.P. Kastelein20, Vilmundur Gudnason21, Veikko Salomaa22, Tamara B. Harris23, Jaspal S. Kooner24, Kristine H. Allin25, Kristine H. Allin26, Børge G. Nordestgaard26, Jemma C. Hopewell27, Alison H. Goodall28, Paul M. Ridker8, Hilma Holm29, Hugh Watkins30, Willem H. Ouwehand1, Nilesh J. Samani28, Stephen Kaptoge1, Emanuele Di Angelantonio1, Olivier Harari, John Danesh1 
31 Mar 2012
TL;DR: In this article, a functional genetic variant known to affect IL6R signalling was studied to assess whether this pathway is causally relevant to coronary heart disease, and Asp358Ala was not associated with lipid concentrations, blood pressure, adiposity, dysglycaemia, or smoking.
Abstract: Background Persistent inflammation has been proposed to contribute to various stages in the pathogenesis of cardiovascular disease. Interleukin-6 receptor (IL6R) signalling propagates downstream inflammation cascades. To assess whether this pathway is causally relevant to coronary heart disease, we studied a functional genetic variant known to affect IL6R signalling. Methods In a collaborative meta-analysis, we studied Asp358Ala (rs2228145) in IL6R in relation to a panel of conventional risk factors and inflammation biomarkers in 125 222 participants. We also compared the frequency of Asp358Ala in 51 441 patients with coronary heart disease and in 136 226 controls. To gain insight into possible mechanisms, we assessed Asp358Ala in relation to localised gene expression and to postlipopolysaccharide stimulation of interleukin 6. Findings The minor allele frequency of Asp358Ala was 39%. Asp358Ala was not associated with lipid concentrations, blood pressure, adiposity, dysglycaemia, or smoking (p value for association per minor allele >= 0.04 for each). By contrast, for every copy of 358Ala inherited, mean concentration of IL6R increased by 34.3% (95% CI 30.4-38.2) and of interleukin 6 by 14.6% (10.7-18.4), and mean concentration of C-reactive protein was reduced by 7.5% (5.9-9.1) and of fibrinogen by 1.0% (0.7-1.3). For every copy of 358Ala inherited, risk of coronary heart disease was reduced by 3.4% (1.8-5.0). Asp358Ala was not related to IL6R mRNA levels or interleukin-6 production in monocytes. Interpretation Large-scale human genetic and biomarker data are consistent with a causal association between IL6R-related pathways and coronary heart disease.

628 citations

Journal ArticleDOI
TL;DR: The results suggest that among UK women born around 1940, two-thirds of all deaths of smokers in their 50s, 60s, and 70s are caused by smoking; smokers lose at least 10 years of lifespan.

626 citations

Journal ArticleDOI
TL;DR: No precise estimate can be made of the number of deaths attributable to smoking in undeveloped countries, but the prevalence of smoking suggests that it will be large, rising to 10 million a year in 30-40 years' time.
Abstract: Estimates are made of the numbers and proportions of deaths attributable to smoking in 44 developed countries in 1990. In developed countries as a whole, tobacco was responsible for 24% of all male deaths and 7% of all female deaths, rising to over 40% in men in some former socialist economies and 17% in women in the USA. The average loss of life for all cigarette smokers was about 8 years and for those whose deaths were attributable to tobacco about 16 years. Trends in mortality attributable to tobacco differed between countries. In some the mortality in middle age (35-69 years) had decreased by half in men since 1965; in others it was continuing to increase. In women, the proportion was mostly increasing, almost universally in old age. Mortality not attributable to smoking decreased since 1955 in all OECD (Organization for European Collaboration and Development) countries, by up to 60% in men and more in women. No precise estimate can be made of the number of deaths attributable to smoking in undeveloped countries, but the prevalence of smoking suggests that it will be large. In the world as a whole, some 3 million deaths a year are estimated to be attributable to smoking, rising to 10 million a year in 30-40 years' time.

614 citations


Authors

Showing all 428 results

NameH-indexPapersCitations
Salim Yusuf2311439252912
Richard Peto183683231434
Cornelia M. van Duijn1831030146009
Rory Collins162489193407
Naveed Sattar1551326116368
Timothy J. Key14680890810
John Danesh135394100132
Andrew J.S. Coats12782094490
Valerie Beral11447153729
Mike Clarke1131037164328
Robert Clarke11151290049
Robert U. Newton10975342527
Richard Gray10980878580
Braxton D. Mitchell10255849599
Naomi E. Allen10136437057
Network Information
Related Institutions (5)
VU University Medical Center
22.9K papers, 1.1M citations

90% related

Leiden University Medical Center
38K papers, 1.6M citations

90% related

Brigham and Women's Hospital
110.5K papers, 6.8M citations

89% related

Mayo Clinic
169.5K papers, 8.1M citations

88% related

John Radcliffe Hospital
23.6K papers, 1.4M citations

88% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2021136
2020116
2019122
201894
2017106
201688