Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study
Authors
Keywords
-
Journal
BMJ-British Medical Journal
Volume -, Issue -, Pages m3731
Publisher
BMJ
Online
2020-10-21
DOI
10.1136/bmj.m3731
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Obesity a Risk Factor for Severe COVID-19 Infection: Multiple Potential Mechanisms
- (2020) Naveed Sattar et al. CIRCULATION
- Temporal recalibration for improving prognostic model development and risk predictions in settings where survival is improving over time
- (2020) Sarah Booth et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Variation in COVID-19 Hospitalizations and Deaths Across New York City Boroughs
- (2020) Rishi K. Wadhera et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- COVID-19 and African Americans
- (2020) Clyde W. Yancy JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Clinical course and mortality risk of severe COVID-19
- (2020) Paul Weiss et al. LANCET
- Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study
- (2020) Fei Zhou et al. LANCET
- Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
- (2020) Laure Wynants et al. BMJ-British Medical Journal
- Shielding from covid-19 should be stratified by risk
- (2020) George Davey Smith et al. BMJ-British Medical Journal
- Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective study
- (2020) Tao Chen et al. BMJ-British Medical Journal
- Impact assessment of non-pharmaceutical interventions against coronavirus disease 2019 and influenza in Hong Kong: an observational study
- (2020) Benjamin J Cowling et al. Lancet Public Health
- Prevalence of co‐morbidities and their association with mortality in patients with COVID ‐19: A systematic review and meta‐analysis
- (2020) Awadhesh K. Singh et al. DIABETES OBESITY & METABOLISM
- Factors associated with COVID-19-related death using OpenSAFELY
- (2020) Elizabeth J. Williamson et al. NATURE
- Obesity and COVID-19: a call for action from people living with obesity
- (2020) S Le Brocq et al. Lancet Diabetes & Endocrinology
- Effects of non-pharmaceutical interventions on COVID-19 cases, deaths, and demand for hospital services in the UK: a modelling study
- (2020) Nicholas G Davies et al. Lancet Public Health
- Development and validation of QMortality risk prediction algorithm to estimate short term risk of death and assess frailty: cohort study
- (2017) Julia Hippisley-Cox et al. BMJ-British Medical Journal
- Development and validation of QDiabetes-2018 risk prediction algorithm to estimate future risk of type 2 diabetes: cohort study
- (2017) Julia Hippisley-Cox et al. BMJ-British Medical Journal
- Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study
- (2017) Julia Hippisley-Cox et al. BMJ-British Medical Journal
- Development and validation of QMortality risk prediction algorithm to estimate short term risk of death and assess frailty: cohort study
- (2017) Julia Hippisley-Cox et al. BMJ-British Medical Journal
- Development and validation of QDiabetes-2018 risk prediction algorithm to estimate future risk of type 2 diabetes: cohort study
- (2017) Julia Hippisley-Cox et al. BMJ-British Medical Journal
- Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study
- (2017) Julia Hippisley-Cox et al. BMJ-British Medical Journal
- Improvement in Cardiovascular Risk Prediction with Electronic Health Records
- (2016) Mindy M. Pike et al. Journal of Cardiovascular Translational Research
- External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges
- (2016) Richard D Riley et al. BMJ-British Medical Journal
- External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges
- (2016) Richard D Riley et al. BMJ-British Medical Journal
- Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement
- (2015) Gary S. Collins et al. ANNALS OF INTERNAL MEDICINE
- The REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) Statement
- (2015) Eric I. Benchimol et al. PLOS MEDICINE
- Non-invasive risk scores for prediction of type 2 diabetes (EPIC-InterAct): a validation of existing models
- (2013) Andre Pascal Kengne et al. Lancet Diabetes & Endocrinology
- Predicting the 10 year risk of cardiovascular disease in the United Kingdom: independent and external validation of an updated version of QRISK2
- (2012) G. S. Collins et al. BMJ-British Medical Journal
- Assessing the Performance of Prediction Models
- (2009) Ewout W. Steyerberg et al. EPIDEMIOLOGY
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now