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Gabriel Baron

Researcher at Paris Descartes University

Publications -  143
Citations -  16945

Gabriel Baron is an academic researcher from Paris Descartes University. The author has contributed to research in topics: Randomized controlled trial & Population. The author has an hindex of 52, co-authored 138 publications receiving 14898 citations. Previous affiliations of Gabriel Baron include University of Paris-Sud & Sorbonne.

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Management of asymptomatic patients with severe non-ischaemic mitral regurgitation. Are practices consistent with guidelines?

TL;DR: In asymptomatic patients with severe mitral regurgitation, preoperative coronary angiography seems under-used and cardiac catheterisation is frequently used, and implementation of existing guidelines should be improved.
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Public availability of results of observational studies evaluating an intervention registered at ClinicalTrials.gov.

TL;DR: Only 39 % of observational studies evaluating an intervention with safety outcome(s) registered at ClinicalTrials.gov had their results published at least 30 months after study completion, and industry-funded study results were less likely to be published but not less likelihood to be publicly available.
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Influence of vertebral fracture assessment by dual-energy X-ray absorptiometry on decision-making in osteoporosis: a structured vignette survey

TL;DR: Vertebral fracture assessment (VFA) results influence patient management, both for radiographs and treatment prescriptions, shows that VFA results influence customer management.
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Leukoaraiosis and pulse-wave encephalopathy: observations with phase-contrast MRI in mild cognitive impairment.

TL;DR: LA may reflect an arteriosclerotic and/or resistive pulse wave encephalopathy in MCI, and the only dynamic changes on multivariate analyse were an IP increase, a lowering of deep venous outflow and Icsf/veins in patients with LA.
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The methods for handling missing data in clinical trials influence sample size requirements.

TL;DR: Results of studies estimating osteoarthritis progression may be affected by missing values can help investigators plan clinical trials to select the primary outcome and a priori specify the way missing data will be handled.