Institution
Royal Devon and Exeter Hospital
Healthcare•Exeter, United Kingdom•
About: Royal Devon and Exeter Hospital is a healthcare organization based out in Exeter, United Kingdom. It is known for research contribution in the topics: Population & Randomized controlled trial. The organization has 2282 authors who have published 2526 publications receiving 78866 citations. The organization is also known as: RD&E.
Papers published on a yearly basis
Papers
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TL;DR: Cigarette smoking is associated with changes in maternal thyroid function throughout the pregnancy and in fetal thyroid function as measured in cord blood samples.
Abstract: Context: Studies in the general population have shown lower serum TSH levels in smokers as compared with nonsmokers. Aim: Our aim was to examine whether smoking is associated with changes in thyroid function of pregnant women and their fetus. Subjects and Methods: We examined the relationship between smoking and thyroid function (serum TSH, free T4, and free T3) in two independent cohorts of pregnant women without a history of thyroid disorder or an overt biochemical thyroid dysfunction: 1) first-trimester cohort (median gestation 9 wk) (n = 1428) and 2) third-trimester cohort (gestation 28 wk) (n = 927). We also analyzed the relationship between maternal smoking and thyroid hormone levels in cord serum of 618 full-term babies born to the women in the third-trimester cohort. Results: In smokers compared with nonsmokers, median serum TSH was lower (first-trimester cohort: 1.02 vs. 1.17 mIU/liter, P = 0.001; third-trimester cohort: 1.72 vs. 1.90 mIU/liter, P = 0.037), and median serum FT3 was higher (first-...
70 citations
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TL;DR: The impact of recent clinical trials on current COPD treatment recommendations is considered and how this field needs to evolve in terms of using clinical characteristics and biomarkers to identify the most appropriate patients for a given pharmacological treatment is proposed.
Abstract: Clinical phenotyping is currently used to guide pharmacological treatment decisions in chronic obstructive pulmonary disease (COPD), a personalized approach to care. Precision medicine integrates biological (endotype) and clinical (phenotype) information for a more individualized approach to pharmacotherapy, to maximize the benefit versus risk ratio. Biomarkers can be used to identify endotypes. To evolve toward precision medicine in COPD, the most appropriate biomarkers and clinical characteristics that reliably predict treatment responses need to be identified. FEV1 is a marker of COPD severity and has historically been used to guide pharmacotherapy choices. However, we now understand that the trajectory of FEV1 change, as an indicator of disease activity, is more important than a single FEV1 measurement. There is a need to develop biomarkers of disease activity to enable a more targeted and individualized approach to pharmacotherapy. Recent clinical trials testing commonly used COPD treatments have provided new information that is likely to influence pharmacological treatment decisions both at initial presentation and at follow up. In this Perspective, we consider the impact of recent clinical trials on current COPD treatment recommendations. We also focus on the movement toward precision medicine and propose how this field needs to evolve in terms of using clinical characteristics and biomarkers to identify the most appropriate patients for a given pharmacological treatment.
70 citations
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Royal Devon and Exeter Hospital1, Imperial College London2, Brunel University London3, Leiden University Medical Center4, University of Tübingen5, University of Westminster6, Lund University7, University of Edinburgh8, University of Exeter9, University of Oxford10, Umeå University11, Harvard University12, University of Dundee13
TL;DR: Most identified favorable adiposity alleles are associated with higher subcutaneous and lower liver fat, a mechanism consistent with the beneficial effects of storing excess triglycerides in metabolically low-risk depots.
Abstract: Recent genetic studies have identified alleles associated with opposite effects on adiposity and risk of type 2 diabetes. We aimed to identify more of these variants and test the hypothesis that such favorable adiposity alleles are associated with higher subcutaneous fat and lower ectopic fat. We combined MRI data with genome-wide association studies of body fat percentage (%) and metabolic traits. We report 14 alleles, including 7 newly characterized alleles, associated with higher adiposity but a favorable metabolic profile. Consistent with previous studies, individuals carrying more favorable adiposity alleles had higher body fat % and higher BMI but lower risk of type 2 diabetes, heart disease, and hypertension. These individuals also had higher subcutaneous fat but lower liver fat and a lower visceral-to-subcutaneous adipose tissue ratio. Individual alleles associated with higher body fat % but lower liver fat and lower risk of type 2 diabetes included those in PPARG, GRB14, and IRS1, whereas the allele in ANKRD55 was paradoxically associated with higher visceral fat but lower risk of type 2 diabetes. Most identified favorable adiposity alleles are associated with higher subcutaneous and lower liver fat, a mechanism consistent with the beneficial effects of storing excess triglycerides in metabolically low-risk depots.
70 citations
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TL;DR: The variation in management of short saphenous veins may be explained by the lack of definitive clinical trials in this area.
70 citations
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TL;DR: Despite a large rise in plasma nitrate concentration, two days of nitrate supplementation did not reduce the oxygen cost of moderate intensity cycling, increase distance covered in the 6 MWT, or lower BP.
70 citations
Authors
Showing all 2288 results
Name | H-index | Papers | Citations |
---|---|---|---|
Andrew T. Hattersley | 146 | 768 | 106949 |
Timothy M. Frayling | 133 | 500 | 100344 |
Gordon D.O. Lowe | 105 | 560 | 44327 |
Rod S Taylor | 104 | 524 | 39332 |
Sian Ellard | 97 | 636 | 36847 |
Zoltán Kutalik | 90 | 321 | 42901 |
Michael N. Weedon | 87 | 201 | 60701 |
Masud Husain | 81 | 398 | 25682 |
David Melzer | 80 | 328 | 33458 |
Jonathan Mill | 78 | 301 | 36343 |
A. John Camm | 76 | 368 | 49804 |
David Silver | 74 | 227 | 81103 |
Jason D. Warren | 73 | 384 | 20588 |
Nicholas J. Talbot | 71 | 240 | 29205 |
Andrew R. Wood | 70 | 214 | 36203 |