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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Plasma urate concentration and risk of coronary heart disease: a Mendelian randomisation analysis
|
|---|---|
| Published in |
The Lancet Diabetes & Endocrinology, January 2016
|
| DOI | 10.1016/s2213-8587(15)00386-1 |
| Pubmed ID | |
| Authors |
Jon White, Reecha Sofat, Gibran Hemani, Tina Shah, Jorgen Engmann, Caroline Dale, Sonia Shah, Felix A Kruger, Claudia Giambartolomei, Daniel I Swerdlow, Tom Palmer, Stela McLachlan, Claudia Langenberg, Delilah Zabaneh, Ruth Lovering, Alana Cavadino, Barbara Jefferis, Chris Finan, Andrew Wong, Antoinette Amuzu, Ken Ong, Tom R Gaunt, Helen Warren, Teri-Louise Davies, Fotios Drenos, Jackie Cooper, Shah Ebrahim, Debbie A Lawlor, Philippa J Talmud, Steve E Humphries, Christine Power, Elina Hypponen, Marcus Richards, Rebecca Hardy, Diana Kuh, Nicholas Wareham, Yoav Ben-Shlomo, Ian N Day, Peter Whincup, Richard Morris, Mark W J Strachan, Jacqueline Price, Meena Kumari, Mika Kivimaki, Vincent Plagnol, John C Whittaker, International Consortium for Blood Pressure, George Davey Smith, Frank Dudbridge, Juan P Casas, Michael V Holmes, Aroon D Hingorani, UCLEB (University College London-London School of Hygiene Tropical Medicine-Edinburgh-Bristol Consortium |
| Abstract |
Increased circulating plasma urate concentration is associated with an increased risk of coronary heart disease, but the extent of any causative effect of urate on risk of coronary heart disease is still unclear. In this study, we aimed to clarify any causal role of urate on coronary heart disease risk using Mendelian randomisation analysis. We first did a fixed-effects meta-analysis of the observational association of plasma urate and risk of coronary heart disease. We then used a conventional Mendelian randomisation approach to investigate the causal relevance using a genetic instrument based on 31 urate-associated single nucleotide polymorphisms (SNPs). To account for potential pleiotropic associations of certain SNPs with risk factors other than urate, we additionally did both a multivariable Mendelian randomisation analysis, in which the genetic associations of SNPs with systolic and diastolic blood pressure, HDL cholesterol, and triglycerides were included as covariates, and an Egger Mendelian randomisation (MR-Egger) analysis to estimate a causal effect accounting for unmeasured pleiotropy. In the meta-analysis of 17 prospective observational studies (166 486 individuals; 9784 coronary heart disease events) a 1 SD higher urate concentration was associated with an odds ratio (OR) for coronary heart disease of 1·07 (95% CI 1·04-1·10). The corresponding OR estimates from the conventional, multivariable adjusted, and Egger Mendelian randomisation analysis (58 studies; 198 598 individuals; 65 877 events) were 1·18 (95% CI 1·08-1·29), 1·10 (1·00-1·22), and 1·05 (0·92-1·20), respectively, per 1 SD increment in plasma urate. Conventional and multivariate Mendelian randomisation analysis implicates a causal role for urate in the development of coronary heart disease, but these estimates might be inflated by hidden pleiotropy. Egger Mendelian randomisation analysis, which accounts for pleiotropy but has less statistical power, suggests there might be no causal effect. These results might help investigators to determine the priority of trials of urate lowering for the prevention of coronary heart disease compared with other potential interventions. UK National Institute for Health Research, British Heart Foundation, and UK Medical Research Council. |
X Demographics
The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 15% |
| Australia | 2 | 10% |
| United States | 2 | 10% |
| Netherlands | 2 | 10% |
| Norway | 1 | 5% |
| Japan | 1 | 5% |
| Austria | 1 | 5% |
| Saudi Arabia | 1 | 5% |
| Qatar | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 5 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 60% |
| Scientists | 6 | 30% |
| Practitioners (doctors, other healthcare professionals) | 2 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | <1% |
| Finland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 121 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 14% |
| Student > Ph. D. Student | 17 | 13% |
| Student > Bachelor | 15 | 12% |
| Student > Master | 10 | 8% |
| Professor | 9 | 7% |
| Other | 25 | 20% |
| Unknown | 32 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 44 | 35% |
| Agricultural and Biological Sciences | 11 | 9% |
| Biochemistry, Genetics and Molecular Biology | 11 | 9% |
| Nursing and Health Professions | 5 | 4% |
| Computer Science | 4 | 3% |
| Other | 16 | 13% |
| Unknown | 35 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 29 May 2021.
All research outputs
#3,561,046
of 25,373,627 outputs
Outputs from The Lancet Diabetes & Endocrinology
#1,293
of 2,140 outputs
Outputs of similar age
#58,426
of 400,135 outputs
Outputs of similar age from The Lancet Diabetes & Endocrinology
#31
of 57 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,140 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 76.3. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 400,135 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.