D
Diederick E. Grobbee
Researcher at Utrecht University
Publications - 1108
Citations - 136069
Diederick E. Grobbee is an academic researcher from Utrecht University. The author has contributed to research in topics: Population & Risk factor. The author has an hindex of 155, co-authored 1051 publications receiving 122748 citations. Previous affiliations of Diederick E. Grobbee include National Heart Foundation of Australia & Radboud University Nijmegen Medical Centre.
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Journal ArticleDOI
Effects of dehydroepiandrosterone and atamestane supplementation on frailty in elderly men.
Majon Muller,Annewieke W. van den Beld,Yvonne T. van der Schouw,Diederick E. Grobbee,Steven W. J. Lamberts +4 more
TL;DR: The results of this double-blind, randomized trial do not support the hypothesis that hormone replacement with DHEA and/or atamestane might improve the course of frailty.
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Postmenopausal Breast Cancer Risk and Cumulative Number of Menstrual Cycles
Mariana Chavez-MacGregor,Sjoerd G. Elias,N. Charlotte Onland-Moret,Yvonne T. van der Schouw,Carla H. van Gils,Evelyn M. Monninkhof,Diederick E. Grobbee,Petra H.M. Peeters +7 more
TL;DR: Among women who underwent natural menopause, a higher number of menstrual cycles in lifetime, reflecting a longer exposure to endogenous estrogens, is associated with an increased breast cancer risk.
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Menopausal complaints, oestrogens, and heart disease risk: an explanation for discrepant findings on the benefits of post-menopausal hormone therapy
TL;DR: It is proposed that the presence of climacteric complaints determines the susceptibility to hormone replacement therapy, and epidemiological approaches are suggested to test the hypothesis.
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Carotid artery stenosis in patients with peripheral arterial disease: The SMART study
TL;DR: The prevalence of ICAS increases as much as 50% in patients who have PAD and the risk indicators of an age of 67 years or older, a body weight of 68 kg or less, and a diastolic blood pressure of 75 mm Hg or lower, and, therefore, these characteristics may be used as a means of increasing the likelihood of detecting ICAS.
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Improved risk adjustment for comparison of surgical site infection rates.
Eveline Geubbels,Diederick E. Grobbee,Christina M. J. E. Vandenbroucke-Grauls,Jan C. Wille,Annette S. de Boer +4 more
TL;DR: Data available from hospital information systems can be used to develop models that are better at predicting the risk of surgical site infection than the NNIS risk index.