Evidence map›Paper›PMID 33801375›Full record

ArticleJournal of personalized medicine2021

Early Warning Scores in Patients with Suspected COVID-19 Infection in Emergency Departments.

Francisco Martín-Rodríguez, José L Martín-Conty, Ancor Sanz-García, Virginia Carbajosa Rodríguez, Guillermo Ortega Rabbione, Irene Cebrían Ruíz, José R Oliva Ramos, Enrique Castro Portillo, Begoña Polonio-López, Rodrigo Enríquez de Salamanca Gambarra and 2 more

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Francisco Martín-RodríguezAdvanced Clinical Simulation Centre, Advanced Life Support Unit, Emergency Medical Services, Faculty of Medicine, Universidad de Valladolid, 47005 Valladolid, Spain.
José L Martín-ContyFaculty of Health Sciences, Universidad de Castilla la Mancha, 45600 Talavera de la Reina, Spain.ORCID 0000-0001-8579-2323
Ancor Sanz-GarcíaData Analysis Unit, Health Research Institute, Hospital de la Princesa, Madrid (IIS-IP), C/Diego de León, 62, 28006 Madrid, Spain.ORCID 0000-0002-5024-5108
Virginia Carbajosa RodríguezEmergency Department, Hospital Universitario Rio Hortega de Valladolid, Gerencia Regional de Salud de Castilla y León (SACYL), c/Dulzaina, 2, 47012 Valladolid, Spain.
Guillermo Ortega RabbioneData Analysis Unit, Health Research Institute, Hospital de la Princesa, Madrid (IIS-IP), C/Diego de León, 62, 28006 Madrid, Spain.ORCID 0000-0002-7840-6145
Irene Cebrían RuízEmergency Department, Hospital Universitario Rio Hortega de Valladolid, Gerencia Regional de Salud de Castilla y León (SACYL), c/Dulzaina, 2, 47012 Valladolid, Spain.
José R Oliva RamosEmergency Department, Hospital Universitario Rio Hortega de Valladolid, Gerencia Regional de Salud de Castilla y León (SACYL), c/Dulzaina, 2, 47012 Valladolid, Spain.
Enrique Castro PortilloEmergency Department, Hospital Universitario Rio Hortega de Valladolid, Gerencia Regional de Salud de Castilla y León (SACYL), c/Dulzaina, 2, 47012 Valladolid, Spain.
Begoña Polonio-LópezFaculty of Health Sciences, Universidad de Castilla la Mancha, 45600 Talavera de la Reina, Spain.ORCID 0000-0003-2922-7519
Rodrigo Enríquez de Salamanca GambarraEmergency Department, Hospital Universitario Rio Hortega de Valladolid, Gerencia Regional de Salud de Castilla y León (SACYL), c/Dulzaina, 2, 47012 Valladolid, Spain.
Marta Gómez-Escolar PérezEmergency Medical Services-SACYL, Paseo Hospital Militar, nº 24, 47007 Valladolid, Spain.
Raúl López-IzquierdoEmergency Department, Hospital Universitario Rio Hortega de Valladolid, Gerencia Regional de Salud de Castilla y León (SACYL), c/Dulzaina, 2, 47012 Valladolid, Spain.ORCID 0000-0001-5092-4138

Funding

Gerencia Regional de Salud de Castilla y León (Spain) GRS COVID 7/A/20
6 · The paper itself

Abstract

Early warning scores (EWSs) help prevent and recognize and thereby act as the first signs of clinical and physiological deterioration. The objective of this study is to evaluate different EWSs (National Early Warning Score 2 (NEWS2), quick sequential organ failure assessment score (qSOFA), Modified Rapid Emergency Medicine Score (MREMS) and Rapid Acute Physiology Score (RAPS)) to predict mortality within the first 48 h in patients suspected to have Coronavirus disease 2019 (COVID-19). We conducted a retrospective observational study in patients over 18 years of age who were treated by the advanced life support units and transferred to the emergency departments between March and July of 2020. Each patient was followed for two days registering their final diagnosis and mortality data. A total of 663 patients were included in our study. Early mortality within the first 48 h affected 53 patients (8.3%). The scale with the best capacity to predict early mortality was the National Early Warning Score 2 (NEWS2), with an area under the curve of 0.825 (95% CI: 0.75-0.89). The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) positive patients presented an area under the curve (AUC) of 0.804 (95% CI: 0.71-0.89), and the negative ones with an AUC of 0.863 (95% CI: 0.76-0.95). Among the EWSs, NEWS2 presented the best predictive power, even when it was separately applied to patients who tested positive and negative for SARS-CoV-2.

Indexed as

clinical decision-makingCOVID-19early warning scoreemergency medicinepandemictriage

Identifiers

PMID33801375
PMCPMC8001393

What OpenQuestion holds

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Registered trials

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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.