In this article, we investigate the surge in use of COVID-19-related preprints by media outlets. Journalists are a main source of reliable public health information during crises and, until recently, journalists have been reluctant to cover preprints because of the associated scientific uncertainty. Yet, uploads of COVID-19 preprints and their uptake by online media have outstripped that of preprints about any other topic. Using an innovative approach combining altmetrics methods with content analysis, we identified a diversity of outlets covering COVID-19-related preprints during the early months of the pandemic, including specialist medical news outlets, traditional news media outlets, and aggregators. We found a ubiquity of hyperlinks as citations and a multiplicity of framing devices for highlighting the scientific uncertainty associated with COVID-19 preprints. These devices were rarely used consistently (e.g., mentioning that the study was a preprint, unreviewed, preliminary, and/or in need of verification). About half of the stories we analyzed contained framing devices emphasizing uncertainty. Outlets in our sample were much less likely to identify the research they mentioned as preprint research, compared to identifying it as simply "research." This work has significant implications for public health communication within the changing media landscape. While current best practices in public health risk communication promote identifying and promoting trustworthy sources of information, the uptake of preprint research by online media presents new challenges. At the same time, it provides new opportunities for fostering greater awareness of the scientific uncertainty associated with health research findings.
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http://dx.doi.org/10.1080/10410236.2020.1864892 | DOI Listing |
Hypertension
January 2025
The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Newtown, Australia (L.C., S.Y., N.E., M.W., T.L., Y.G., C.S.A., K.H., X.C., R.P.).
Background: The association between systolic blood pressure and all-cause mortality differs between frail and nonfrail individuals, highlighting uncertainties about the effectiveness of antihypertensive treatments in frail populations.
Methods: Using data from the SHEP trial (Systolic Hypertension in the Elderly Program), a baseline frailty index (FI), including 55 variables, was constructed. Fine-Gray subdistribution hazard models and Cox proportional hazards regression models were used to explore the association between baseline FI and the risks of stroke, cardiovascular disease, and all-cause death, as well as to examine whether the impact of antihypertensive treatment on these outcomes was modified by baseline FI.
J Chem Theory Comput
January 2025
Department of Chemistry, University of Bath, Claverton Down, Bath BA2 7AY, U.K.
Self-diffusion coefficients, *, are routinely estimated from molecular dynamics simulations by fitting a linear model to the observed mean squared displacements (MSDs) of mobile species. MSDs derived from simulations exhibit statistical noise that causes uncertainty in the resulting estimate of *. An optimal scheme for estimating * minimizes this uncertainty, i.
View Article and Find Full Text PDFBMJ Open
December 2024
European Medicines Agency, Amsterdam, The Netherlands
Objectives: In the European Union, a new orphan medicinal product must demonstrate 'significant benefit' over approved medicinal products targeting the same indication. To demonstrate a significant benefit, comparisons between the new product and the already approved medicinal products-either directly by a head-to-head comparison within a clinical trial or indirectly as a cross-trial comparison-are necessary. In this study, we investigate the types of trial designs and statistical approaches used for demonstrating a significant benefit of a new orphan medicinal product against approved comparators used between 2012 and 2022.
View Article and Find Full Text PDFMol Autism
January 2025
Department of Special Education, University of Haifa, Haifa, Israel.
Background: Alterations in sensory perception, a core phenotype of autism, are attributed to imbalanced integration of sensory information and prior knowledge during perceptual statistical (Bayesian) inference. This hypothesis has gained momentum in recent years, partly because it can be implemented both at the computational level, as in Bayesian perception, and at the level of canonical neural microcircuitry, as in predictive coding. However, empirical investigations have yielded conflicting results with evidence remaining limited.
View Article and Find Full Text PDFSyst Rev
January 2025
Statistical Laboratory, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, UK.
Background: Scientific papers increasingly put forward scientific-based policy recommendations (SPRs) as a means of closing the circle of science, policy and practice. Assessing the quality of such SPRs is crucial, especially within the context of a systematic review. Here, we present ECR-P (Evidence Communication Rules for Policy)-a critical appraisal tool that we have developed, which can be used in assessing not only the quality of SPRs but also the quality of their evidence base and how effectively these have both been communicated.
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