Evidence map›Paper›PMID 33632795›Full record

ArticleThe European respiratory journal2021

Altered pulmonary blood volume distribution as a biomarker for predicting outcomes in COVID-19 disease.

Michael F Morris, Yash Pershad, Paul Kang, Lauren Ridenour, Ben Lavon, Maarten Lanclus, Rik Godon, Jan De Backer, Marilyn K Glassberg

Abstract read
In one paragraph

Article in The European respiratory journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  7. Quantitative Analysis for Lung Disease on Thin-Section CT.Diagnostics (Basel, Switzerland) · 2023
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  11. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Michael F MorrisDept of Radiology, Banner - University Medical Center Phoenix, Phoenix, AZ, USA michael.morris@bannerhealth.com.ORCID 0000-0001-8076-0488
Yash PershadDept of Bioengineering, Stanford University, Palo Alto, CA, USA.
Paul KangDept of Biostatistics, University of Arizona College of Public Health, Phoenix, AZ, USA.
Lauren RidenourDept of Medicine, Banner - University Medical Center Phoenix, Phoenix, AZ, USA.
Ben LavonFLUIDDA, New York City, NY, USA.
Maarten LanclusFLUIDDA, New York City, NY, USA.
Rik GodonFLUIDDA, New York City, NY, USA.
Jan De BackerFLUIDDA, New York City, NY, USA.
Marilyn K GlassbergDept of Medicine, Banner - University Medical Center Phoenix, Phoenix, AZ, USA.ORCID 0000-0003-1990-6614

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEvidence suggests that vascular inflammation and thrombosis may be important drivers of poor clinical outcomes in patients with COVID-19. We hypothesised that a significant decrease in the percentage of blood volume in vessels with a cross-sectional area between 1.25 and 5 mm

methodsWe performed a retrospective analysis of chest CT scans from 10 hospitals across two US states in 313 COVID-19-positive and 195 COVID-19-negative patients seeking acute medical care.

resultsBV5% was predictive of outcomes in COVID-19 patients in a multivariate model, with a BV5% threshold below 25% associated with OR 5.58 for mortality, OR 3.20 for intubation and OR 2.54 for the composite of mortality or intubation. A model using age and BV5% had an area under the receiver operating characteristic curve of 0.85 to predict the composite of mortality or intubation in COVID-19 patients. BV5% was not predictive of clinical outcomes in patients without COVID-19.

conclusionsThe data suggest BV5% as a novel biomarker for predicting adverse outcomes in patients with COVID-19 seeking acute medical care.

Indexed as

COVID-19BiomarkersBlood VolumeHumansRetrospective StudiesSARS-CoV-2Biomarkers

Identifiers

PMID33632795
PMCPMC7908189

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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.