Author
Sharon Kean
Other affiliations: University of Glasgow
Bio: Sharon Kean is an academic researcher from Robertson Centre for Biostatistics. The author has contributed to research in topics: Randomized controlled trial & Population. The author has an hindex of 16, co-authored 28 publications receiving 3735 citations. Previous affiliations of Sharon Kean include University of Glasgow.
Papers
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1,570 citations
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TL;DR: The findings show that, at 12 months, almost half of participants achieved remission to a non-diabetic state and off antidiabetic medications, from baseline to 12 months.
1,101 citations
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TL;DR: Sustained remission was linked to the extent of sustained weight loss, and the DiRECT programme sustained remissions at 24 months for more than a third of people with type 2 diabetes.
456 citations
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TL;DR: A meta-analysis of data from all large statin trials to compare the effects of statin therapy at different ages observed a significant reduction in major vascular events in all age groups.
454 citations
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TL;DR: Levothyroxine provided no apparent benefits in older persons with subclinical hypothyroidism and there was no significant excess of serious adverse events prespecified as being of special interest.
Abstract: BackgroundThe use of levothyroxine to treat subclinical hypothyroidism is controversial. We aimed to determine whether levothyroxine provided clinical benefits in older persons with this condition. MethodsWe conducted a double-blind, randomized, placebo-controlled, parallel-group trial involving 737 adults who were at least 65 years of age and who had persisting subclinical hypothyroidism (thyrotropin level, 4.60 to 19.99 mIU per liter; free thyroxine level within the reference range). A total of 368 patients were assigned to receive levothyroxine (at a starting dose of 50 μg daily, or 25 μg if the body weight was <50 kg or the patient had coronary heart disease), with dose adjustment according to the thyrotropin level; 369 patients were assigned to receive placebo with mock dose adjustment. The two primary outcomes were the change in the Hypothyroid Symptoms score and Tiredness score on a thyroid-related quality-of-life questionnaire at 1 year (range of each scale is 0 to 100, with higher scores indicati...
296 citations
Cited by
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TL;DR: Authors/Task Force Members: Piotr Ponikowski* (Chairperson) (Poland), Adriaan A. Voors* (Co-Chair person) (The Netherlands), Stefan D. Anker (Germany), Héctor Bueno (Spain), John G. F. Cleland (UK), Andrew J. S. Coats (UK)
13,400 citations
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TL;DR: A simple coronary disease prediction algorithm was developed using categorical variables, which allows physicians to predict multivariate CHD risk in patients without overt CHD.
Abstract: Background—The objective of this study was to examine the association of Joint National Committee (JNC-V) blood pressure and National Cholesterol Education Program (NCEP) cholesterol categories with coronary heart disease (CHD) risk, to incorporate them into coronary prediction algorithms, and to compare the discrimination properties of this approach with other noncategorical prediction functions. Methods and Results—This work was designed as a prospective, single-center study in the setting of a community-based cohort. The patients were 2489 men and 2856 women 30 to 74 years old at baseline with 12 years of follow-up. During the 12 years of follow-up, a total of 383 men and 227 women developed CHD, which was significantly associated with categories of blood pressure, total cholesterol, LDL cholesterol, and HDL cholesterol (all P,.001). Sex-specific prediction equations were formulated to predict CHD risk according to age, diabetes, smoking, JNC-V blood pressure categories, and NCEP total cholesterol and LDL cholesterol categories. The accuracy of this categorical approach was found to be comparable to CHD prediction when the continuous variables themselves were used. After adjustment for other factors, ’28% of CHD events in men and 29% in women were attributable to blood pressure levels that exceeded high normal ($130/85). The corresponding multivariable-adjusted attributable risk percent associated with elevated total cholesterol ($200 mg/dL) was 27% in men and 34% in women. Conclusions—Recommended guidelines of blood pressure, total cholesterol, and LDL cholesterol effectively predict CHD risk in a middle-aged white population sample. A simple coronary disease prediction algorithm was developed using categorical variables, which allows physicians to predict multivariate CHD risk in patients without overt CHD. (Circulation. 1998;97:1837-1847.)
9,227 citations
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TL;DR: Preamble and Transition to ACC/AHA Guidelines to Reduce Cardiovascular Risk S2 The goals of the …
Abstract: Preamble and Transition to ACC/AHA Guidelines to Reduce Cardiovascular Risk S2
The goals of the …
7,184 citations
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4,069 citations