Media alert–forthcoming reviews from RAPID REVIEWS:COVID-19


CAMBRIDGE, MA – October 22, 2020




Rapid Reviews: COVID-19


(RR:C19), an open-access overlay journal published by the MIT Press that accelerates peer review of COVID-19-related research preprints, is currently soliciting reviews of the following COVID-19 preprints. These preprints have been selected for review because they have the potential to enhance our understanding of SARS-CoV-2 or have been flagged as potentially misleading. Preprints with two finished reviews should be published within 10-14 days. Additional information or early access to these peer-reviews is available upon request.


Highlights from Rapid Reviews editorial team:


Physical Sciences/Engineering


Biological/Chemical Sciences


Public Health


Medical Sciences



  • “SARS-CoV-2 antibody responses in patients with aggressive haematological malignancies” by Jenny O’Nions, et al.


    Preprint Summary

    : The majority (8/9) of Patients with Hematologic Malignancy (PHM) with confirmed SARS-CoV-2 infection seroconverted and developed antibodies to the major SARS-CoV-2 antigens (S1 and N) with most (6/8) produced neutralizing antibody responses. Furthermore, the dynamics of antibody responses were broadly similar to that reported for the general population, except for a possible delay to seroconversion.



  • “COVID-19 classification of x-ray images using deep neural networks” by Elisha Goldstein, et al.


    Preprint Summary

    : Deep Neural Networks can be used to reliably classify CXR images as COVID-19 positive or negative. The model achieved 89.7% accuracy and 87.1% sensitivity (testing 15% of images) in classification of COVID-19 and area under receiver operating characteristic curve of 0.95. This could be a tool used to rapidly identify and isolate positive COVID-19 patients, which would contribute to contain the disease.



  • “COVID-19 infection may cause thyroid dysfunction” by Hongmei Zhang.


    Preprint Summary

    : Relative to the control, COVID+ patients had lower serum levels of T3 and TSH and higher levels of T4. Thyroid dysfunction in COVID+ patients manifested often as non-thyroidal illness syndrome (NTIS). The FT3/FT4 ratio was negatively correlated with COVID-19 death in the multivariate logistic regression analysis. AUC for the FT3/FT4 ratio was 0·716 (p =0·000, 95%CI=0·633-0·799).

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RR:C19

is published by the MIT Press and the editorial offices 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 alerts, visit

rapidreviewscovid19.mitpress.mit.edu


Media Contacts

Jessica Pellien

Associate Director of Publicity

Fortier Public Relations

[email protected]

Kate Silverman Wilson

Community and Resource Development Associate

The MIT Press

[email protected]



About the MIT Press



Established in 1962, the MIT Press is one of the largest and most distinguished university presses in the world and a leading publisher of books and journals at the intersection of science, technology, art, social science, and design. MIT Press books and journals are known for their intellectual daring, scholarly standards, interdisciplinary focus, and distinctive design.



About the UC Berkeley School of Public Health



For 75 years and counting, the UC Berkeley SPH has been dedicated to making a transformative impact on the health of populations through its values of health as a right, strength through diversity, think forward, and impact first. To eliminate inequity and injustice that affects the health and dignity of all people, SPH is committed to radical public health collaborations that challenge conventional thinking, leverage technology, and build bridges between research, public policy, education, and action.



About the Patrick J. McGovern Foundation



The Patrick J. McGovern Foundation is dedicated to improving lives globally with technology, data and AI. The Foundation is the legacy of IDG founder Patrick J. McGovern, who believed in the potential for technology to democratize information, improve the human condition and advance social good



About the Knowledge Futures Group



The Knowledge Futures Group, a nonprofit originally founded as a partnership between the MIT Press and MIT Media Lab, builds and sustains technology for the production, curation, and preservation of knowledge in service of the public good.

This part of information is sourced from https://www.eurekalert.org/pub_releases/2020-10/tmp-mar102220.php

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