Observational studyPloS one2021
Derivation and validation of a clinical severity score for acutely ill adults with suspected COVID-19: The PRIEST observational cohort study.
Observational study in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
52 citing papers in PubMed, 2 syntheses or guidelines pooled it, 99 citations in OpenAlex.
- A Systematic Review of Predictor Composition, Outcomes, Risk of Bias, and Validation of COVID-19 Prognostic Scores.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024Pooled it
- Process Improvement Approaches for Increasing the Response of Emergency Departments against the COVID-19 Pandemic: A Systematic Review.International journal of environmental research and public health · 2021Pooled it
- Prediction of intensive care admission and hospital mortality in COVID-19 patients using demographics and baseline laboratory data.Clinics (Sao Paulo, Brazil) · 2023Trial
- Effectiveness of Telemedicine vs Face-to-Face Consultation in Fighting COVID-19: Retrospective Cohort Study of Adult Patients With COVID-19 in a Primary Care Setting.Journal of medical Internet research · 2026Article
- Advancements in Managing Choledocholithiasis and Acute Cholangitis in the Elderly: A Comprehensive Review.Cureus · 2025Review
- The first assessment of Angiotensin-Converting Enzyme 1 (ACE1) D/I polymorphism and demographic factors in association with COVID-19 outcomes in the Moroccan Population.Molecular biology reports · 2025Article
- The C2HEST score on admission to hospital may successfully predict clinical outcomes of COVID-19 in the all-comers population.Archives of medical science : AMS · 2025Article
- Comparison of the ALKA and CRS scores to predict outcomes among patients with coronavirus disease 2019 infection in United Arab Emirates.Frontiers in medicine · 2025Article
- Prehospital Pandemic Respiratory Infection Emergency System Triage score can effectively predict the 30-day mortality of COVID-19 patients with pneumonia.Annals of medicine · 2024Article
- Observational
- Usefulness of the CHAMicroorganisms · 2024Article
- Evaluation of risk prediction scores for adults hospitalized with COVID-19 in a highly-vaccinated population, Aotearoa New Zealand 2022.IJID regions · 2024Article
- Modeling and predicting individual variation in COVID-19 vaccine-elicited antibody response in the general population.PLOS digital health · 2024Article
- Risk factors for progressing to critical illness in patients with hospital-acquired COVID-19.The Korean journal of internal medicine · 2024Article
- Prognostic accuracy of eight triage scores in suspected COVID-19 in an Emergency Department low-income setting: An observational cohort study.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2024Article
- New score to predict COVID-19 progression in vaccine and early treatment era: the COVID-19 Sardinian Progression Score (CSPS).European journal of medical research · 2024Article
- Development and Validation of a Robust and Interpretable Early Triaging Support System for Patients Hospitalized With COVID-19: Predictive Algorithm Modeling and Interpretation Study.Journal of medical Internet research · 2024Article
- Combination of spironolactone and sitagliptin improves clinical outcomes of outpatients with COVID-19: a prospective cohort study.Journal of endocrinological investigation · 2024Observational
- Article
- Training and testing of a gradient boosted machine learning model to predict adverse outcome in patients presenting to emergency departments with suspected covid-19 infection in a middle-income setting.PLOS digital health · 2023Article
Corrections and comments
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Authors and funding
24 authors at 6 institutions in 1 country.
Funding
Abstract
objectivesWe aimed to derive and validate a triage tool, based on clinical assessment alone, for predicting adverse outcome in acutely ill adults with suspected COVID-19 infection.
methodsWe undertook a mixed prospective and retrospective observational cohort study in 70 emergency departments across the United Kingdom (UK). We collected presenting data from 22445 people attending with suspected COVID-19 between 26 March 2020 and 28 May 2020. The primary outcome was death or organ support (respiratory, cardiovascular, or renal) by record review at 30 days. We split the cohort into derivation and validation sets, developed a clinical score based on the coefficients from multivariable analysis using the derivation set, and the estimated discriminant performance using the validation set.
resultsWe analysed 11773 derivation and 9118 validation cases. Multivariable analysis identified that age, sex, respiratory rate, systolic blood pressure, oxygen saturation/inspired oxygen ratio, performance status, consciousness, history of renal impairment, and respiratory distress were retained in analyses restricted to the ten or fewer predictors. We used findings from multivariable analysis and clinical judgement to develop a score based on the NEWS2 score, age, sex, and performance status. This had a c-statistic of 0.80 (95% confidence interval 0.79-0.81) in the validation cohort and predicted adverse outcome with sensitivity 0.98 (0.97-0.98) and specificity 0.34 (0.34-0.35) for scores above four points.
conclusionA clinical score based on NEWS2, age, sex, and performance status predicts adverse outcome with good discrimination in adults with suspected COVID-19 and can be used to support decision-making in emergency care. REGISTRATION: ISRCTN registry, ISRCTN28342533, http://www.isrctn.com/ISRCTN28342533.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.