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John G.F. Cleland

Researcher at National Institutes of Health

Publications -  1276
Citations -  125527

John G.F. Cleland is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Heart failure & Ejection fraction. The author has an hindex of 137, co-authored 1172 publications receiving 110227 citations. Previous affiliations of John G.F. Cleland include Northwestern University & Imperial College London.

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Effect of ramipril on morbidity and mode of death among survivors of acute myocardial infarction with clinical evidence of heart failure. A report from the AIRE Study Investigators.

TL;DR: Ramipril reduces mortality and progression to resistant heart failure among patients with evidence of heart failure early after myocardial infarction and appears to be a major factor contributing to the reduction in mortality both by reducing circulatory failure and by reducing sudden death.
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Under-utilization of evidence-based drug treatment in patients with heart failure is only partially explained by dissimilarity to patients enrolled in landmark trials: a report from the Euro Heart Survey on Heart Failure.

TL;DR: ACE-Is are widely utilized but given in lower doses than proven effective in clinical trials, and beta-Blockers are underused and given inLower doses to patients who fulfil the enrolment criteria of relevant landmark trials.
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Clinical outcome endpoints in heart failure trials: a European Society of Cardiology Heart Failure Association consensus document.

TL;DR: The HFA‐ESC convened a group of expert heart failure clinical investigators, biostatisticians, regulators, and pharmaceutical industry scientists to evaluate the challenges of defining heart failure endpoints in clinical trials and to develop a consensus framework, and this report summarizes the group's recommendations for achieving common views on heart failureEndpoint selection.
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Mortality in heart failure: clinical variables of prognostic value.

TL;DR: Frequent ventricular extrasystoles, non-treatment with amiodarone, low mean arterial pressure, and a diagnosis of coronary artery disease were associated with a poor prognosis, with each of these variables providing extra predictive information independently of the others.