Evidence map›Paper›PMID 36570597›Full record

ArticleAcute medicine & surgery

Utility of dual-energy computed tomography in the association of COVID-19 pneumonia severity.

Takahiro Michishita, Ryo Saji, Hiroshi Miyazaki, Sena Mishima, Kosuke Shimada, Sakura Minami, Hiromu Okano, Naoya Suzuki, Tsuyoshi Otsuka, Takeru Abe and 2 more

Open access · goldAbstract read
In one paragraph

Article in Acute medicine & surgery. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 56% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. 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 2 institutions in 1 country.

Takahiro MichishitaDepartment of Critical Care and Emergency Medicine National Hospital Organization Yokohama Medical Center Yokohama Japan.ORCID https://orcid.org/0000-0003-1553-8789
Ryo SajiDepartment of Emergency Medicine Yokohama City University Graduate School of Medicine Yokohama Japan.
Hiroshi MiyazakiDepartment of Critical Care and Emergency Medicine National Hospital Organization Yokohama Medical Center Yokohama Japan.
Sena MishimaDepartment of Critical Care and Emergency Medicine National Hospital Organization Yokohama Medical Center Yokohama Japan.
Kosuke ShimadaDepartment of Critical Care and Emergency Medicine National Hospital Organization Yokohama Medical Center Yokohama Japan.
Sakura MinamiDepartment of Critical Care and Emergency Medicine National Hospital Organization Yokohama Medical Center Yokohama Japan.ORCID https://orcid.org/0000-0001-8505-4486
Hiromu OkanoDepartment of Critical Care and Emergency Medicine National Hospital Organization Yokohama Medical Center Yokohama Japan.ORCID https://orcid.org/0000-0002-2116-0455
Naoya SuzukiDepartment of Critical Care and Emergency Medicine National Hospital Organization Yokohama Medical Center Yokohama Japan.ORCID https://orcid.org/0000-0002-4639-1938
Tsuyoshi OtsukaDepartment of Critical Care and Emergency Medicine National Hospital Organization Yokohama Medical Center Yokohama Japan.
Takeru AbeDepartment of Emergency Medicine Yokohama City University Graduate School of Medicine Yokohama Japan.ORCID https://orcid.org/0000-0003-3496-1953
Ichiro TakeuchiDepartment of Emergency Medicine Yokohama City University Graduate School of Medicine Yokohama Japan.
Ryosuke FuruyaDepartment of Critical Care and Emergency Medicine National Hospital Organization Yokohama Medical Center Yokohama Japan.ORCID https://orcid.org/0000-0002-0751-6267
National Hospital Organization · JPYokohama City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Coronavirus disease 2019 pneumonia differs from ordinary pneumonia in that it is associated with lesions that reduce pulmonary perfusion. Dual-energy computed tomography is well suited to elucidate the etiology of coronavirus disease 2019 pneumonia, because it highlights changes in organ blood flow. In this study, we investigated whether dual-energy computed tomography could be used to determine the severity of coronavirus disease 2019 pneumonia. Methods: Patients who were diagnosed with coronavirus disease 2019 pneumonia, admitted to our hospital, and underwent dual-energy computed tomography were included in this study. Dual-energy computed tomography findings, plane computed tomography findings, disease severity, laboratory data, and clinical features were compared between two groups: a critical group (18 patients) and a non-critical group (30 patients). Results: The dual-energy computed tomography results indicated that the percentage of flow loss was significantly higher in the critical group compared with the non-critical group ( Conclusion: Dual-energy computed tomography can be used to associate the severity of coronavirus disease 2019 pneumonia with high accuracy. Further studies are needed to draw definitive conclusions.

Indexed as

COVID‐19 pneumoniaCOVID‐19 pneumonia severityDECTlung perfusion blood volumeplane CT

Identifiers

PMID36570597
PMCPMC9767859
OpenAlexW4312210173

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.