6 results match your criteria: "Centre of Research in Epidemiology and Statistics (CRESS-UMR1153)[Affiliation]"

The objective of this study is to evaluate the association between quality and features related to internet users of the most viewed YouTube videos about COVID-19 and chloroquine, during the first wave of the pandemic. We conducted a cross-sectional observational study focusing on the most viewed YouTube videos on COVID-19 and chloroquine treatment, in French and English. The primary outcome was the association between video quality as assessed by DISCERN and modified JAMA scores, and video features related to internet users as assessed by number of viewership and likes.

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This commentary discusses the early licensing and deployment of a COVID-19 vaccine and how accomplishing this goal could compromise ethical principles that guide clinical research.

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Research response to coronavirus disease 2019 needed better coordination and collaboration: a living mapping of registered trials.

J Clin Epidemiol

February 2021

Université de Paris, Centre of Research Epidemiology and Statistics (CRESS), Inserm, F-75004 Paris, France; Cochrane France, AP-HP, 75004 Paris, France; Centre d'Epidémiologie Clinique, Hôpital Hôtel Dieu, Assistance Publique des Hôpitaux de Paris (APHP), F-75004 Paris, France.

Objectives: Researchers worldwide are actively engaging in research activities to search for preventive and therapeutic interventions against coronavirus disease 2019 (COVID-19). Our aim was to describe the planning of randomized controlled trials (RCTs) in terms of timing related to the course of the COVID-19 epidemic and research question evaluated.

Study Design And Setting: We performed a living mapping of RCTs registered in the WHO International Clinical Trials Registry Platform.

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The aim of this study was to assess the validity of the predictive INTERSALT equation using spot urine samples to estimate 24-h urinary Na (24-hUNa) excretion and daily Na intake among the French adult population. Among 193 French adults ('validation sample'), we assessed the validity by comparing predicted 24-hUNa excretion from spot urine and measured 24-hUNa excretion from 24-h urine collections. Spearman correlation coefficients and Bland-Altman plots were used and we calculated calibration coefficients.

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