This meta-analysis of randomized trials reported in medical journals, preprint servers, and press releases estimates associations between convalescent plasma treatment and clinical outcomes (all-cause mortality, length of stay, clinical improvement, clinical deterioration, mechanical ventilation use, serious adverse events) in patients with COVID-19.
This Viewpoint reviews the way race has been used and misused in medical research and urges careful consideration by investigators of how its use might ameliorate or worsen health inequalities.
This study describes the policies, submission requirements, and transparency in reporting and research integrity recommendations of academic preprint servers.
In this Viewpoint, John Ioannidis and colleagues discuss the proliferation of undervalidated or unvalidated clinical prediction models (CPMs) and propose an open-source repository where risk prediction scores could be updated in real time and validated as a means to facilitate identification of best-performing and reduce creation of duplicate or unhelpful models.
In this Viewpoint, John Ioannidis discusses the proliferation of observational studies and news about lifestyle exposures that have trivial and often imprecise associations with meaningful public health outcomes, and proposes ways scientific journals and the media can prioritize the dissemination of balanced, true, science-based information that addresses major public health burdens and are likely to be true.
In this Viewpoint, John Ioannidis argues against abandoning the notion and language of statistical significance, which has been proposed as a means to diminish oversimplistic interpretations of clinical research. A significance filter in some form is essential for distinguishing signal from noise, he writes, and emphasizes that predefined study design choices, prespecified statistical analyses, transparent and documented deviations from either, and improvement in researchers’ statistical numeracy can minimize overly subjective interpretations of whatever significance measure is used.
In this Viewpoint, Ioannidis and coauthors compare overuse of computed tomography and magnetic resonance image scanning with large-scale haphazard population screening for disease and call for dedicated investigations to understand how to reduce unnecessary and wasteful diagnostic imaging.
In this Viewpoint, Ioannidis discusses the status of nutritional epidemiologic research and posits that radical reform is needed in the field, including how nutritional research is conducted and reported.
This Medical News story examines the outcry over a recently published guideline that found insufficient evidence to recommend eating less red meat.
In this Viewpoint, John Ioannidis and colleagues discuss the challenges and potential benefits of defining what is “healthy” in an era of precision medicine, when defining normal will require that each person be assigned to an increasingly narrow and granular reference population.
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