Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
Objective To review and appraise the validity and usefulness of published and preprint
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
reports of prediction models for prognosis of patients with covid-19, and for detecting people …
Chest CT lung abnormalities 1 year after COVID-19: a systematic review and meta-analysis
M Bocchino, G Rea, L Capitelli, R Lieto, D Bruzzese - Radiology, 2023 - pubs.rsna.org
Background Radiologic lung sequelae may explain the persistence of respiratory symptoms
in post–coronavirus disease (post–COVID-19) condition (long COVID). Purpose To perform …
in post–coronavirus disease (post–COVID-19) condition (long COVID). Purpose To perform …
Genomic characteristics and clinical effect of the emergent SARS-CoV-2 B. 1.1. 7 lineage in London, UK: a whole-genome sequencing and hospital-based cohort …
D Frampton, T Rampling, A Cross, H Bailey… - The Lancet infectious …, 2021 - thelancet.com
Background Emergence of variants with specific mutations in key epitopes in the spike
protein of SARS-CoV-2 raises concerns pertinent to mass vaccination campaigns and use of …
protein of SARS-CoV-2 raises concerns pertinent to mass vaccination campaigns and use of …
Long Covid in adults discharged from UK hospitals after Covid-19: A prospective, multicentre cohort study using the ISARIC WHO Clinical Characterisation Protocol
L Sigfrid, TM Drake, E Pauley… - The Lancet Regional …, 2021 - thelancet.com
Background This study sought to establish the long-term effects of Covid-19 following
hospitalisation. Methods 327 hospitalised participants, with SARS-CoV-2 infection were …
hospitalisation. Methods 327 hospitalised participants, with SARS-CoV-2 infection were …
Remote management of covid-19 using home pulse oximetry and virtual ward support
Low blood oxygen—technically, hypoxaemia but usually referred to as hypoxia—can be
defined as a measured oxygen saturation below 94% in the absence (or below 88% in the …
defined as a measured oxygen saturation below 94% in the absence (or below 88% in the …
Transparent reporting of multivariable prediction models for individual prognosis or diagnosis: checklist for systematic reviews and meta-analyses (TRIPOD-SRMA)
Most clinical specialties have a plethora of studies that develop or validate one or more
prediction models, for example, to inform diagnosis or prognosis. Having many prediction …
prediction models, for example, to inform diagnosis or prognosis. Having many prediction …
Allocating scarce intensive care resources during the COVID-19 pandemic: practical challenges to theoretical frameworks
The COVID-19 pandemic strained health-care systems throughout the world. For some,
available medical resources could not meet the increased demand and rationing was …
available medical resources could not meet the increased demand and rationing was …
Chest radiograph scoring alone or combined with other risk scores for predicting outcomes in COVID-19
I Au-Yong, Y Higashi, E Giannotti, A Fogarty… - Radiology, 2022 - pubs.rsna.org
Background Radiographic severity may help predict patient deterioration and outcomes from
COVID-19 pneumonia. Purpose To assess the reliability and reproducibility of three chest …
COVID-19 pneumonia. Purpose To assess the reliability and reproducibility of three chest …
ISARIC-COVID-19 dataset: a prospective, standardized, global dataset of patients hospitalized with COVID-19
M Etienne, N Ettalhaoui, AG Everding, M Evers, I Fabre… - Scientific data, 2022 - nature.com
Abstract The International Severe Acute Respiratory and Emerging Infection Consortium
(ISARIC) COVID-19 dataset is one of the largest international databases of prospectively …
(ISARIC) COVID-19 dataset is one of the largest international databases of prospectively …
[HTML][HTML] Long-term outcomes of the global tuberculosis and COVID-19 co-infection cohort
GT Network, N Casco, AL Jorge… - European …, 2023 - Eur Respiratory Soc
Background Longitudinal cohort data of patients with tuberculosis (TB) and coronavirus
disease 2019 (COVID-19) are lacking. In our global study, we describe long-term outcomes …
disease 2019 (COVID-19) are lacking. In our global study, we describe long-term outcomes …