Institution
Imperial College London
Education•London, Westminster, United Kingdom•
About: Imperial College London is a education organization based out in London, Westminster, United Kingdom. It is known for research contribution in the topics: Population & Medicine. The organization has 90019 authors who have published 209164 publications receiving 9337534 citations. The organization is also known as: Imperial College of Science, Technology and Medicine & Imperial College.
Topics: Population, Medicine, Context (language use), Cancer, Computer science
Papers published on a yearly basis
Papers
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TL;DR: Pore-scale imaging and modelling is becoming a routine service in the oil and gas industry as discussed by the authors, and has potential applications in contaminant transport and carbon dioxide storage, which has been shown to transform our understanding of multiphase flow processes.
1,421 citations
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TL;DR: Fruit and vegetable intakes were associated with reduced risk of cardiovascular disease, cancer and all-cause mortality, and public health recommendations to increase fruit and vegetable intake for the prevention of cardiovascular Disease, cancer, and premature mortality are supported.
Abstract: Background Questions remain about the strength and shape of the dose-response relationship between fruit and vegetable intake and risk of cardiovascular disease, cancer and mortality, and the effects of specific types of fruit and vegetables. We conducted a systematic review and meta-analysis to clarify these associations. Methods PubMed and Embase were searched up to 29 September 2016. Prospective studies of fruit and vegetable intake and cardiovascular disease, total cancer and all-cause mortality were included. Summary relative risks (RRs) were calculated using a random effects model, and the mortality burden globally was estimated; 95 studies (142 publications) were included. Results For fruits and vegetables combined, the summary RR per 200 g/day was 0.92 [95% confidence interval (CI): 0.90-0.94, I 2 = 0%, n = 15] for coronary heart disease, 0.84 (95% CI: 0.76-0.92, I 2 = 73%, n = 10) for stroke, 0.92 (95% CI: 0.90-0.95, I 2 = 31%, n = 13) for cardiovascular disease, 0.97 (95% CI: 0.95-0.99, I 2 = 49%, n = 12) for total cancer and 0.90 (95% CI: 0.87-0.93, I 2 = 83%, n = 15) for all-cause mortality. Similar associations were observed for fruits and vegetables separately. Reductions in risk were observed up to 800 g/day for all outcomes except cancer (600 g/day). Inverse associations were observed between the intake of apples and pears, citrus fruits, green leafy vegetables, cruciferous vegetables, and salads and cardiovascular disease and all-cause mortality, and between the intake of green-yellow vegetables and cruciferous vegetables and total cancer risk. An estimated 5.6 and 7.8 million premature deaths worldwide in 2013 may be attributable to a fruit and vegetable intake below 500 and 800 g/day, respectively, if the observed associations are causal. Conclusions Fruit and vegetable intakes were associated with reduced risk of cardiovascular disease, cancer and all-cause mortality. These results support public health recommendations to increase fruit and vegetable intake for the prevention of cardiovascular disease, cancer, and premature mortality.
1,420 citations
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TL;DR: A new type of cloak is discussed: one that gives all cloaked objects the appearance of a flat conducting sheet that has the advantage that none of the parameters of the cloak is singular and can in fact be made isotropic.
Abstract: A new type of cloak is discussed: one that gives all cloaked objects the appearance of a flat conducting sheet. It has the advantage that none of the parameters of the cloak is singular and can in fact be made isotropic. It makes broadband cloaking in the optical frequencies one step closer.
1,419 citations
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TL;DR: How to validate a model is considered and it is suggested that it is desirable to consider two rather different aspects - statistical and clinical validity - and some general approaches to validation are examined.
Abstract: Prognostic models are used in medicine for investigating patient outcome in relation to patient and disease characteristics. Such models do not always work well in practice, so it is widely recommended that they need to be validated. The idea of validating a prognostic model is generally taken to mean establishing that it works satisfactorily for patients other than those from whose data it was derived. In this paper we examine what is meant by validation and review why it is necessary. We consider how to validate a model and suggest that it is desirable to consider two rather different aspects - statistical and clinical validity - and examine some general approaches to validation. We illustrate the issues using several case studies.
1,418 citations
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University of Auckland1, Union for International Cancer Control2, Pan American Health Organization3, Imperial College London4, Commonwealth Secretariat5, International Union Against Tuberculosis and Lung Disease6, Massey University7, Organisation for Economic Co-operation and Development8, International Diabetes Federation9, World Bank10, Brigham and Women's Hospital11, University of Ottawa12, University of London13, University of Sydney14, National Heart Forum15, University of Melbourne16, World Heart Federation17, Public Health Foundation of India18, University of Southampton19, Harvard University20, Yonsei University21
TL;DR: The Lancet NCD Action Group and the NCD Alliance propose five overarching priority actions for the response to the crisis and the delivery of five priority interventions--tobacco control, salt reduction, improved diets and physical activity, reduction in hazardous alcohol intake, and essential drugs and technologies.
1,418 citations
Authors
Showing all 90798 results
Name | H-index | Papers | Citations |
---|---|---|---|
Albert Hofman | 267 | 2530 | 321405 |
David Miller | 203 | 2573 | 204840 |
Tamara B. Harris | 201 | 1143 | 163979 |
Mark I. McCarthy | 200 | 1028 | 187898 |
Peter J. Barnes | 194 | 1530 | 166618 |
Simon D. M. White | 189 | 795 | 231645 |
Patrick W. Serruys | 186 | 2427 | 173210 |
John Hardy | 177 | 1178 | 171694 |
Simon Baron-Cohen | 172 | 773 | 118071 |
Richard H. Friend | 169 | 1182 | 140032 |
Yang Gao | 168 | 2047 | 146301 |
Hongfang Liu | 166 | 2356 | 156290 |
Philippe Froguel | 166 | 820 | 118816 |
Salvador Moncada | 164 | 495 | 138030 |
Dennis R. Burton | 164 | 683 | 90959 |