Evidence map›Paper›PMID 34766569›Full record

ArticleMedicine2021

Sextus chest radiograph severity score correlates to clinical outcomes in patients with COVID-19: A cross-sectional study.

Justin Sun, Daohai Yu, Kevin Yoo, Robert Choi, Xiaoning Lu, Taylor Standiford, Gary Cohen, Nathaniel Marchetti, Omar Agosto, Maruti Kumaran and 1 more

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 45% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

11 authors at 2 institutions in 1 country.

Justin SunTemple University Lewis Katz School of Medicine, Philadelphia, PA.ORCID 0000-0002-1879-1598
Daohai YuTemple University Lewis Katz School of Medicine, Philadelphia, PA.
Kevin YooTemple University Lewis Katz School of Medicine, Philadelphia, PA.
Robert ChoiTemple University Lewis Katz School of Medicine, Philadelphia, PA.
Xiaoning LuTemple University Lewis Katz School of Medicine, Philadelphia, PA.
Taylor StandifordTemple University Lewis Katz School of Medicine, Philadelphia, PA.
Gary CohenDepartment of Radiology, Temple University Hospital Network, Philadelphia, PA.
Nathaniel MarchettiDepartment of Pulmonology, Temple University Hospital Network, Philadelphia, PA.
Omar AgostoDepartment of Radiology, Temple University Hospital Network, Philadelphia, PA.
Maruti KumaranDepartment of Radiology, Temple University Hospital Network, Philadelphia, PA.
Hillel MareskyTemple University Lewis Katz School of Medicine, Philadelphia, PA.
Temple University · USTemple University Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractThe value of chest radiography (CXR) in detection and as an outcome predictor in the management of patients with coronavirus disease-2019 (COVID-19) has not yet been fully understood.To validate a standardized CXR scoring system and assess its prognostic value in hospitalized patients found to have COVID-19 by imaging criteria and to compare it to computed tomography (CT).In this cross-sectional chart review study, patients aged 18-years or older who underwent chest CT at a single institution with an imaging-based diagnosis of COVID-19 between March 15, 2020 to April 15, 2020 were included. Each patient's CXR and coronal CT were analyzed for opacities in a 6-zonal assessment method and aggregated into a "Sextus score." Inter-reader variability and correlation between CXR and coronal CT images were investigated to validate this scoring system. Univariable and multiple logistic regression techniques were used to investigate relationships between CXR scores and clinical parameters in relation to patient outcomes.One hundred twenty-four patients (median [interquartile range] age 58.5 [47.5-69.0] years, 72 [58%] men, 58 [47%] Blacks, and 35 [28%] Hispanics) were included. The CXR Sextus score (range: 0-6) was reliable (inter-rater kappa = 0.76; 95% confidence interval [CI]: 0.69-0.83) and correlated strongly with the CT Sextus score (Spearman correlation coefficient = 0.75, P < .0001). Incremental increases of CXR Sextus scores of 2 points were found to be an independent predictor of intubation (adjusted odds ratio [95% CI]: 4.49 [1.98, 10.20], P = .0003) and prolonged hospitalization (≥10 days) (adjusted odds ratio [95% CI]: 4.06 [1.98, 8.32], P = .0001).The CXR Sextus score was found to be reproducible and CXR-CT severity scores were closely correlated. Increasing Sextus scores were associated with increased risks for intubation and prolonged hospitalization for patients with COVID-19 in a predominantly Black population. The CXR Sextus score may provide insight into identifying and monitoring high-risk patients with COVID-19.

Indexed as

Radiography, ThoracicAgedCOVID-19Cross-Sectional StudiesFemaleHumansMaleMiddle AgedReproducibility of ResultsRetrospective StudiesSARS-CoV-2X-Rays

Identifiers

PMID34766569
PMCPMC10545010
OpenAlexW3212011196

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.