Evidence map›Paper›PMID 36623355›Full record

ArticleClinical imaging2023

Utility of chest radiograph severity scoring in emergency department for predicting outcomes in COVID-19: A study of 1275 patients.

Anirudh Venugopalan Nair, Devendra Kumar, Matthew McInnes, Ahmed Akram Hadi, Hanee Subair Valiyakath Subair, Omar Ammar Khyatt, Mohammed Atea Almashhadani, Bamil Jacob, Anu Vasudevan, Mohammad Zaya Ashruf and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical imaging, 2023. 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
0.1field-weighted citation impact, top 54% 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, 1 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

12 authors at 4 institutions in 4 countries.

Anirudh Venugopalan NairDept of Clinical Radiology, NHS Salisbury Foundation Trust, Wiltshire, United Kingdom; Dept of Clinical Imaging, Al Wakra hospital, Hamad Medical Corporation, Qatar. Electronic address: dranirudhnair@gmail.com.
Devendra KumarDept of Clinical Imaging, Al Wakra hospital, Hamad Medical Corporation, Qatar.
Matthew McInnesThe Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada.
Ahmed Akram HadiDept of Clinical Imaging, Al Wakra hospital, Hamad Medical Corporation, Qatar.
Hanee Subair Valiyakath SubairDept of Clinical Imaging, Al Wakra hospital, Hamad Medical Corporation, Qatar.
Omar Ammar KhyattDept of Clinical Imaging, Al Wakra hospital, Hamad Medical Corporation, Qatar.
Mohammed Atea AlmashhadaniDept of Clinical Imaging, Al Wakra hospital, Hamad Medical Corporation, Qatar.
Bamil JacobDept of Clinical Imaging, Al Wakra hospital, Hamad Medical Corporation, Qatar.
Anu VasudevanHamad Medical Corporation, Qatar.
Mohammad Zaya AshrufDept of Clinical Imaging, Al Wakra hospital, Hamad Medical Corporation, Qatar.
Mahmoud Al-HeidousDept of Clinical Imaging, Al Wakra hospital, Hamad Medical Corporation, Qatar.
Deepak Kuttikatt SomanDept of Community Medicine, Government Medical College, Palakkad, India.
Hamad Medical Corporation · QAGovernment Medical College · INOttawa Hospital · CASalisbury NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo measure the reliability and reproducibility of a chest radiograph severity score (CSS) in prognosticating patient's severity of disease and outcomes at the time of disease presentation in the emergency department (ED) with coronavirus disease 2019 (COVID-19). MATERIALS AND

methodsWe retrospectively studied 1275 consecutive RT-PCR confirmed COVID-19 adult patients presenting to ED from March 2020 through June 2020. Chest radiograph severity score was assessed for each patient by two blinded radiologists. Clinical and laboratory parameters were collected. The rate of admission to intensive care unit, mechanical ventilation or death up to 60 days after the baseline chest radiograph were collected. Primary outcome was defined as occurrence of ICU admission or death. Multivariate logistic regression was performed to evaluate the relationship between clinical parameters, chest radiograph severity score, and primary outcome.

resultsCSS of 3 or more was associated with ICU admission (78 % sensitivity; 73.1 % specificity; area under curve 0.81). CSS and pre-existing diabetes were independent predictors of primary outcome (odds ratio, 7; 95 % CI: 3.87, 11.73; p < 0.001 & odds ratio, 2; 95 % CI: 1-3.4, p 0.02 respectively). No significant difference in primary outcome was observed for those with history of hypertension, asthma, chronic kidney disease or coronary artery disease.

conclusionSemi-quantitative assessment of CSS at the time of disease presentation in the ED predicted outcomes in adults of all age with COVID-19.

Indexed as

COVID-19AdultEmergency Service, HospitalHumansReproducibility of ResultsRetrospective StudiesSARS-CoV-2Chest radiographCOVID-19SARS-CoV-2X-ray

Identifiers

PMID36623355
PMCPMC9794386
OpenAlexW4312212543

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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.