ScreenIT
The Automated Screening Working Groups is a group of software engineers and biologists passionate about improving scientific manuscripts on a large scale. Our members have created tools that check for common problems in scientific manuscripts, including information needed to improve transparency and reproducibility. We have combined our tools into a single pipeline, called ScreenIT. We're currently using our tools to screen COVID preprints.
Latest preprint reviews
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Safety and immunogenicity of a SARS-CoV-2 recombinant protein nanoparticle vaccine (GBP510) adjuvanted with AS03: A randomised, placebo-controlled, observer-blinded phase 1/2 trial
This article has 30 authors:Reviewed by ScreenIT
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A multicenter, double-blind, randomized, parallel-group, placebo-controlled study to evaluate the efficacy and safety of camostat mesilate in patients with COVID-19 (CANDLE study)
This article has 14 authors:Reviewed by ScreenIT
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Does Metformin Decrease Mortality in Patients with Type 2 Diabetes Mellitus Hospitalized for COVID-19? A Multivariable and Propensity Score-adjusted Meta-analysis
This article has 2 authors:Reviewed by ScreenIT
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Clinical and Economic Impact of Differential COVID-19 Vaccine Effectiveness in the United States
This article has 6 authors:Reviewed by ScreenIT
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Declining Course of Humoral Immune Response in Initially Responding Kidney Transplant Recipients after Repeated SARS-CoV-2 Vaccination
This article has 16 authors:Reviewed by ScreenIT
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Androgen receptor polyQ alleles and COVID‐19 severity in men: A replication study
This article has 18 authors:Reviewed by ScreenIT
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Recombinant BA.1/BA.2 SARS-CoV-2 Virus in Arriving Travelers, Hong Kong, February 2022
This article has 11 authors:Reviewed by ScreenIT
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Dupilumab Use Is Associated With Protection From Coronavirus Disease 2019 Mortality: A Retrospective Analysis
This article has 6 authors:Reviewed by ScreenIT
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Tocilizumab, netakimab, and baricitinib in patients with mild-to-moderate COVID-19: An observational study
This article has 12 authors:Reviewed by ScreenIT
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Recall of pre-existing cross-reactive B cell memory following Omicron breakthrough infection
This article has 7 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT