Evidence map›Paper›PMID 37623682›Full record

ArticleJournal of imaging2023

Quantitative CT Metrics Associated with Variability in the Diffusion Capacity of the Lung of Post-COVID-19 Patients with Minimal Residual Lung Lesions.

Han Wen, Julio A Huapaya, Shreya M Kanth, Junfeng Sun, Brianna P Matthew, Simone C Lee, Michael Do, Marcus Y Chen, Ashkan A Malayeri, Anthony F Suffredini

Open access · goldAbstract read
In one paragraph

Article in Journal of imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Han WenNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.ORCID 0000-0001-6844-2997
Julio A HuapayaCritical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA.ORCID 0000-0001-8093-4855
Shreya M KanthCritical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA.
Junfeng SunCritical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA.
Brianna P MatthewNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Simone C LeeNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Michael DoNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Marcus Y ChenNational Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Ashkan A MalayeriRadiology & Imaging Sciences Department, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA.
Anthony F SuffrediniCritical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USA.
National Institutes of Health · USNational Institutes of Health Clinical Center · US

Funding

Division of Intramural Research, National Heart, Lung and Blood Institute, National Institutes of Health HL006141
6 · The paper itself

Abstract

(1) Background: A reduction in the diffusion capacity of the lung for carbon monoxide is a prevalent longer-term consequence of COVID-19 infection. In patients who have zero or minimal residual radiological abnormalities in the lungs, it has been debated whether the cause was mainly due to a reduced alveolar volume or involved diffuse interstitial or vascular abnormalities. (2) Methods: We performed a cross-sectional study of 45 patients with either zero or minimal residual lesions in the lungs (total volume < 7 cc) at two months to one year post COVID-19 infection. There was considerable variability in the diffusion capacity of the lung for carbon monoxide, with 27% of the patients at less than 80% of the predicted reference. We investigated a set of independent variables that may affect the diffusion capacity of the lung, including demographic, pulmonary physiology and CT (computed tomography)-derived variables of vascular volume, parenchymal density and residual lesion volume. (3) Results: The leading three variables that contributed to the variability in the diffusion capacity of the lung for carbon monoxide were the alveolar volume, determined via pulmonary function tests, the blood vessel volume fraction, determined via CT, and the parenchymal radiodensity, also determined via CT. These factors explained 49% of the variance of the diffusion capacity, with

Indexed as

alveolar volumeCOVID-19CT pulmonary vascular morphologydiffusion capacity of the lungparenchymal radiodensity

Identifiers

PMID37623682
PMCPMC10455247
OpenAlexW4385307069

What OpenQuestion holds

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LicenceCC BY
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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.