Evidence map›Paper›PMID 33575909›Full record

ArticleJournal of general internal medicine2021

Severity Scores in COVID-19 Pneumonia: a Multicenter, Retrospective, Cohort Study.

Arturo Artero, Manuel Madrazo, Mar Fernández-Garcés, Antonio Muiño Miguez, Andrés González García, Anxela Crestelo Vieitez, Elena García Guijarro, Eva María Fonseca Aizpuru, Miriam García Gómez, María Areses Manrique and 16 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of general internal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 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

26 authors.

Arturo ArteroInternal Medicine Department, Dr. Peset University Hospital, Universitat de València, Valencia, Spain.
Manuel MadrazoInternal Medicine Department, Dr. Peset University Hospital, Avda Gaspar Aguilar, n 90, postal code, 46017, Valencia, Spain. manel.madrazo@gmail.com.ORCID 0000-0002-8779-3001
Mar Fernández-GarcésInternal Medicine Department, Dr. Peset University Hospital, Avda Gaspar Aguilar, n 90, postal code, 46017, Valencia, Spain.
Antonio Muiño MiguezInternal Medicine Department, Gregorio Marañon University Hospital, Madrid, Spain.
Andrés González GarcíaInternal Medicine Department, Ramón y Cajal University Hospital, Madrid, Spain.
Anxela Crestelo VieitezInternal Medicine Department, Royo Villanova Hospital, Zaragoza, Spain.
Elena García GuijarroInternal Medicine Department, Infanta Cristina University Hospital, Parla, Madrid, Spain.
Eva María Fonseca AizpuruInternal Medicine Department, Cabueñes Hospital, Gijón, Asturias, Spain.
Miriam García GómezInternal Medicine Department, Urduliz Alfredo Espinosa Hospital, Urdúliz, Vizcaya, Spain.
María Areses ManriqueInternal Medicine Department, Santa Marina Hospital, Bilbao, Spain.
Carmen Martinez CillerosInternal Medicine Department, HLA Moncloa Hospital, Madrid, Spain.
María Del Pilar Fidalgo MorenoInternal Medicine Department, Henares Hospital, Coslada, Madrid, Spain.
José Loureiro AmigoInternal Medicine Department, Moisès Broggi Hospital, Sant Joan Despí, Barcelona, Spain.
Ricardo Gil SánchezInternal Medicine Department, La Fe University Hospital, Valencia, Spain.
Elisa Rabadán PejenauteInternal Medicine Department, San Pedro Hospital, Logroño, La Rioja, Spain.
Lucy Abella VázquezInternal Medicine Department, Ntra Sra Candelaria University Hospital, Santa Cruz de Tenerife, Spain.
Ruth Cañizares NavarroInternal Medicine Department, San Juan de Alicante University Hospital, San Juan de Alicante, Alicante, Spain.
Marta Nataya Solís MarquínezInternal Medicine Department, San Agustin University Hospital, Avilés, Asturias, Spain.
Francisco Javier Carrasco SánchezInternal Medicine Department, Juan Ramón Jiménez Hospital, Huelva, Spain.
Julio González MoralejaInternal Medicine Department, Virgen de la Salud Hospital, Toledo, Spain.
Lorena Montero RivasInternal Medicine Department, Infanta Margarita Hospital, Cabra, Córdoba, Spain.
Joaquín Escobar SevillaInternal Medicine Department, Virgen de las Nieves University Hospital, Granada, Spain.
María Dolores Martín EscalanteInternal Medicine Department, Costa del Sol Hospital, Marbella, Málaga, Spain.
Ricardo Gómez-HuelgasInternal Medicine Department, Málaga Regional University Hospital, Málaga, Spain.
José Manuel Ramos-RincónDepartment of Clinical Medicine, Miguel Hernandez University of Elche, Alicante, Spain.
SEMI-COVID-19 Network

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentification of patients on admission to hospital with coronavirus infectious disease 2019 (COVID-19) pneumonia who can develop poor outcomes has not yet been comprehensively assessed.

objectiveTo compare severity scores used for community-acquired pneumonia to identify high-risk patients with COVID-19 pneumonia.

designPSI, CURB-65, qSOFA, and MuLBSTA, a new score for viral pneumonia, were calculated on admission to hospital to identify high-risk patients for in-hospital mortality, admission to an intensive care unit (ICU), or use of mechanical ventilation. Area under receiver operating characteristics curve (AUROC), sensitivity, and specificity for each score were determined and AUROC was compared among them.

participantsPatients with COVID-19 pneumonia included in the SEMI-COVID-19 Network. KEY

resultsWe examined 10,238 patients with COVID-19. Mean age of patients was 66.6 years and 57.9% were males. The most common comorbidities were as follows: hypertension (49.2%), diabetes (18.8%), and chronic obstructive pulmonary disease (12.8%). Acute respiratory distress syndrome (34.7%) and acute kidney injury (13.9%) were the most common complications. In-hospital mortality was 20.9%. PSI and CURB-65 showed the highest AUROC (0.835 and 0.825, respectively). qSOFA and MuLBSTA had a lower AUROC (0.728 and 0.715, respectively). qSOFA was the most specific score (specificity 95.7%) albeit its sensitivity was only 26.2%. PSI had the highest sensitivity (84.1%) and a specificity of 72.2%.

conclusionsPSI and CURB-65, specific severity scores for pneumonia, were better than qSOFA and MuLBSTA at predicting mortality in patients with COVID-19 pneumonia. Additionally, qSOFA, the simplest score to perform, was the most specific albeit the least sensitive.

Indexed as

Communicable DiseasesCommunity-Acquired InfectionsCOVID-19PneumoniaAgedCohort StudiesFemaleHospital MortalityHumansIntensive Care UnitsMaleOrgan Dysfunction ScoresPrognosisRetrospective StudiesSARS-CoV-2Severity of Illness Indexcommunity-acquired pneumoniaCOVID-19CURB-65PSIqSOFA

Identifiers

PMID33575909
PMCPMC7878165

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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.