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Journal: Journal of clinical epidemiology


To compare the inference regarding the effectiveness of the various non-pharmaceutical interventions (NPIs) for COVID-19 obtained from different SIR models.


The aim of this study was to test the usefulness of an infographic in the translation of knowledge about health information from a Cochrane systematic review to lay and professional populations in comparison to a plain language summary and scientific abstract.

Concepts: Health care, Epidemiology, Mathematics, Evidence-based medicine, Systematic review, Randomized controlled trial, Language, Translation


To describe the design and ongoing conduct of the Million Veteran Program (MVP), as an observational cohort study and mega-biobank in the Department of Veterans Affairs (VA) healthcare system.

Concepts: Cohort study, Medicine, Epidemiology, Clinical trial, United States Department of Veterans Affairs, Veteran, Veterans Affairs Canada, American Legion


To map the current status of head-to-head comparative randomized evidence and to assess whether funding may impact on trial design and results.

Concepts: Randomized controlled trial


Clear communication of systematic review findings will help readers and decision makers. We built on previous work to develop an approach that improves the clarity of statements to convey findings and that draws on Grading of Recommendations Assessment, Development and Evaluation (GRADE).


Prior epidemics of high-mortality human coronaviruses, such as the acute respiratory syndrome coronavirus (SARS-CoV or SARS-1) in 2003, have driven the characterization of compounds that could be possibly active against the currently emerging novel coronavirus SARS-CoV-2 (COVID-19). Presently, no approved treatment or prophylaxis is available for COVID-19. We comment on the existing COVID-19 research methodologies in general and the published reporting. Given the media attention and claims of effectiveness, we chose chloroquine and hydroxychloroquine, in combination with azithromycin, as an area of COVID-19 research to examine.


To compare performance of logistic regression (LR) with machine learning (ML) for clinical prediction modeling.


Researchers worldwide are actively engaging in research activities to search for preventive and therapeutic interventions against 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.


To assess the risk for adverse events reporting bias in systematic reviews of healthcare interventions registered to PROSPERO.


To develop an evidence-based guideline for Peer Review of Electronic Search Strategies (PRESS) for systematic reviews (SRs), health technology assessments, and other evidence syntheses.

Concepts: Evidence-based medicine, Systematic review, Randomized controlled trial, Peer review, Review