CAMBRIDGE, MA – September 2, 2020– Quick Reviews: COVID-19( RR: C19), is an open-access overlay journal published by the MIT Press that speeds up peer evaluation of COVID-19- related research study preprints to advance new and essential findings and prevent the dissemination of false or misleading scientific news.
For the month of August, the preprints selected for evaluation covered a vast array of topics with peer customers discovering recommendations for new prognostic ratings to assist medical decision making and medical facility admissions and a study of estrogen levels and COVID-19 symptoms in women especially notable and beneficial.
Peer reviewers likewise flag as potentially misleading new research study on whether beta-coronavirus MHV, a pathogen of mice, uses deacidification of lysosomes to exit cells while preventing deterioration. They warn decision-makers to not act on this research.
New August peer reviews from RR: C19, in order of the proof scale score (strong, trusted, possibly helpful, not informative, or deceptive) as supplied by each of the two reviewers:
- The energy of established prognostic ratings in COVID-19 medical facility admissions: a multicentre potential evaluation of CURB-65, NEWS2, and qSOFA by Freddy Frost, et al. Preprint| Reviews
Proof Scale Rating: Strong/Strong
Summary: This robust analysis is unique and of high interest for the medical neighborhood. This study informs how brand-new prognostic scores ought to be developed to more precisely guide medical decision-making in clients with COVID-19 Customers: Michael Meisner and Kapil Gururangan.
- Progenitor recognition and SARS-CoV-2 infection in long-lasting human distal lung organoid cultures by Ameen A. Salahudeen, et al. Preprint
- Estrogen and COVID-19 symptoms: associations in ladies from the COVID Symptom Research Study by Ricardo Costeira, et al. Preprint
- Anti-SARS-CoV-2 IgG from badly ill COVID-19 clients promotes macrophage hyper-inflammatory actions. Review Evidence Scale Ranking: Reliable/Reliable
Summary: This study presents an unique healing approach to treating COVID-19
- The infection death rate of COVID-19 inferred from seroprevalence information by John Ioannidis. Preprint
Proof Scale Score: Reliable/Potentially Informative
Summary: Research study declares increased susceptibility of IBD patients to SARS-CoV-2 infection. Study does not have sufficient proof to support the authors’ claims concerning the value of IBD medication in COVID-19 danger management.
Evidence Scale Rating: Reliable/Potentially Informative
Summary: A significant benefit of this analysis is that it provides a credible, versatile design for estimating the costs of COVID-19, although designs will need upgrading with valid proof. Sufficient compliance with lockdown guidelines might significantly reduce the medical expenses of COVID-19 Reviewers: Christine Eibner, Raffaele Vardavas, and Mehdi Shiva.
Evidence Scale Ranking: Reliable/Not informative
Summary: Authors claim that stochastic modeling can be utilized to forecast the effectiveness of repurposed drugs to prevent or deal with SARS-CoV-2 infections. Readers and choice makers should assess outcomes with some caution. Customers: Anna Bershteyn and Praveen P Nekkar Rao.
Evidence Scale Ranking: Possibly informative/Not Useful
Summary: While informative, there are lots of flaws in the protocol testing if SARS-CoV2 RNA can be magnified from nasopharyngeal swab samples. Customers: Aditi Bhargava and Mohamed Sharafeldin.
Evidence Scale Score: Misleading/Potentially helpful
Summary: This study claims β-coronaviruses utilize a lysosome-mediated egress mechanism. In its existing form, this pre-print includes many unverified, misleading, or improperly supported claims and is undependable for notifying future COVID-19 research. Reviewers: David Avram Sanders and Cristina Risco Ortiz
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RR: C19 is released by the MIT Press and the editorial workplaces are located at UC Berkeley, headed by editor-in-chief Stefano M. Bertozzi, Professor of Health Policy and Management and Dean Emeritus of the School of Public Health at University of California Berkeley. The journal is funded by a grant from the Patrick J. McGovern Foundation and hosted on PubPub, an open-source publishing platform from the Knowledge Futures Group.
To learn more about this project and its editorial board, or to sign up for future news and informs, check out rapidreviewscovid19 mitpress.mit.edu
About the MIT Press
Developed in 1962, the MIT Press is one of the biggest and most distinguished university presses on the planet and a leading publisher of books and journals at the crossway of science, technology, art, social science, and design. MIT Press books and journals are known for their intellectual bold, academic standards, interdisciplinary focus, and unique style.
About the UC Berkeley School of Public Health
For 75 years and counting, the UC Berkeley SPH has been devoted to making a transformative effect on the health of populations through its values of health as a right, strength through variety, believe forward, and impact first. To eliminate injustice and injustice that impacts the health and dignity of all people, SPH is committed to radical public health collaborations that challenge traditional thinking, take advantage of technology, and build bridges in between research, public policy, education, and action.
About the Patrick J. McGovern Structure
The Patrick J. McGovern Foundation is dedicated to enhancing lives globally with technology, data and AI. The Foundation is the tradition of IDG founder Patrick J. McGovern, who believed in the potential for technology to equalize details, improve the human condition and advance social great.
About the Knowledge Futures Group
The Understanding Futures Group, a not-for-profit initially established as a partnership between the MIT Press and MIT Media Laboratory, develops and sustains innovation for the production, curation, and conservation of understanding in service of the general public good.
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https://covid19globalcases.com/new-peer-reviews-of-covid-19-preprints-from-the-mit-press-journal-rapid-reviews-covid-19/
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