Evidence map›Paper›PMID 37493862›Full record

Observational studyInternal and emergency medicine2023

Head-to-head comparison of six warning scores to predict mortality and clinical impairment in COVID-19 patients in emergency department.

Pedro Ángel de Santos Castro, Francisco Martín-Rodríguez, Leyre Teresa Pinilla Arribas, Daniel Zalama Sánchez, Ancor Sanz-García, Tony Giancarlo Vásquez Del Águila, Pablo González Izquierdo, Sara de Santos Sánchez, Carlos Del Pozo Vegas

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Internal and emergency medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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

9 authors.

Pedro Ángel de Santos CastroServicio de Urgencias, Hospital Clínico Universitario de Valladolid, Gerencia Regional de Salud de Castilla Y León (SACYL), Valladolid, Spain.
Francisco Martín-RodríguezFacultad de Medicina, Centro de Simulación Clínica Avanzada, Universidad de Valladolid, Avda. Ramón Y Cajal, 7, 47003, Valladolid, Spain. francisco.martin.rodriguez@uva.es.
Leyre Teresa Pinilla ArribasServicio de Urgencias, Hospital Clínico Universitario de Valladolid, Gerencia Regional de Salud de Castilla Y León (SACYL), Valladolid, Spain.
Daniel Zalama SánchezServicio de Urgencias, Hospital Clínico Universitario de Valladolid, Gerencia Regional de Salud de Castilla Y León (SACYL), Valladolid, Spain.
Ancor Sanz-GarcíaFacultad de Ciencias de La Salud, Universidad de Castilla La Mancha, Avda. Real Fábrica de Seda, s/n, 45600, Talavera de La Reina, Toledo, Spain. ancor.sanz@gmail.com.ORCID http://orcid.org/0000-0002-5024-5108
Tony Giancarlo Vásquez Del ÁguilaServicio de Urgencias, Hospital Clínico Universitario de Valladolid, Gerencia Regional de Salud de Castilla Y León (SACYL), Valladolid, Spain.
Pablo González IzquierdoServicio de Urgencias, Hospital Clínico Universitario de Valladolid, Gerencia Regional de Salud de Castilla Y León (SACYL), Valladolid, Spain.
Sara de Santos SánchezFacultad de Medicina, Centro de Simulación Clínica Avanzada, Universidad de Valladolid, Avda. Ramón Y Cajal, 7, 47003, Valladolid, Spain.
Carlos Del Pozo VegasServicio de Urgencias, Hospital Clínico Universitario de Valladolid, Gerencia Regional de Salud de Castilla Y León (SACYL), Valladolid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim was to evaluate the ability of six risk scores (4C, CURB65, SEIMC, mCHOSEN, QuickCSI, and NEWS2) to predict the outcome of patients with COVID-19 during the sixth pandemic wave in Spain. A retrospective observational study was performed to review the electronic medical records in patients ≥ 18 years of age who consulted consecutively in an emergency department with COVID-19 diagnosis throughout 2 months during the sixth pandemic wave. Clinical-epidemiological variables, comorbidities, and their respective outcomes, such as 30-day in-hospital mortality and clinical deterioration risk (a combined outcome considering: mechanical ventilation, intensive care unit admission, and/or 30-day in-hospital mortality), were calculated. The area under the curve for each risk score was calculated, and the resulting curves were compared by the Delong test, concluding with a decision curve analysis. A total of 626 patients (median age 79 years; 49.8% female) fulfilled the inclusion criteria. Two hundred and ninety-three patients (46.8%) had two or more comorbidities. Clinical deterioration risk criteria were present in 10.1% (63 cases), with a 30-day in-hospital mortality rate of 6.2% (39 cases). Comparison of the results showed that score 4C presented the best results for both outcome variables, with areas under the curve for mortality and clinical deterioration risk of 0.931 (95% CI 0.904-0.957) and 0.871 (95% CI 0.833-0.910) (both p < 0.001). The 4C Mortality Score proved to be the best score for predicting mortality or clinical deterioration risk among patients with COVID-19 attended in the emergency department in the following 30 days.

Indexed as

Clinical DeteriorationCOVID-19AgedCOVID-19 TestingEmergency Service, HospitalFemaleHospital MortalityHumansInfantMaleRetrospective StudiesROC CurveCOVID-19Early warning scoresEmergency departmentPrognosticWarning scores

Identifiers

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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.