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J Chalmers

Researcher at NHS Scotland

Publications -  32
Citations -  2447

J Chalmers is an academic researcher from NHS Scotland. The author has contributed to research in topics: Population & Case fatality rate. The author has an hindex of 24, co-authored 32 publications receiving 2345 citations. Previous affiliations of J Chalmers include University of Edinburgh.

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Evidence of Improving Prognosis in Heart Failure Trends in Case Fatality in 66 547 Patients Hospitalized Between 1986 and 1995

TL;DR: Heart failure CF is much higher in the general population than in clinical trials, especially in the elderly, and survival has increased significantly over the last decade, although there is still much room for improvement.
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A national survey of the prevalence, incidence, primary care burden and treatment of atrial fibrillation in Scotland

TL;DR: Deprived individuals are less likely to have AF, a finding raising concerns about socioeconomic gradients in detection and prognosis, and recommended treatments for AF were underused in women and older people.
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Why is mortality higher in Scotland than in England and Wales? Decreasing influence of socioeconomic deprivation between 1981 and 2001 supports the existence of a 'Scottish Effect'.

TL;DR: Scotland's relative mortality disadvantage compared to the rest of Great Britain, after allowing for deprivation, is worsening and more research is required to understand what is causing this 'Scottish effect'.
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Trends in case-fatality in 117 718 patients admitted with acute myocardial infarction in Scotland.

TL;DR: The increasing survival in patients admitted to hospital suggests that the trial-based efficacy of modern therapies is now translating into population-based effectiveness, however, an individual's life expectancy still halves after a diagnosis of acute myocardial infarction.
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Record linked retrospective cohort study of 4.6 million people exploring ethnic variations in disease: myocardial infarction in South Asians

TL;DR: The technique met ethical, professional and legal concerns about the linkage of census and health data and is transferable internationally wherever the census (or population register) contains ethnic group or race data.