Evidence map›Paper›PMID 36327268›Full record

ArticlePloS one2022

Predicting the aggravation of coronavirus disease-19 pneumonia using chest computed tomography scans.

Yukitaka Yamasaki, Seido Ooka, Shin Matsuoka, Hayato Tomita, Masanori Hirose, Tomonori Takano, Shotaro Suzuki, Mitsuru Imamura, Hiroshi Handa, Hiroki Nishine and 9 more

Abstract read
In one paragraph

Article in PloS one, 2022. 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
–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

1 citing paper in PubMed.

  1. Association Between Prehospital Blood Glucose Levels and Outcomes in Patients With COVID-19 Infection: A Retrospective Cohort Study.Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association · 2023
    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

19 authors.

Yukitaka YamasakiDepartment of Infectious Diseases, St. Marianna University School of Medicine, Miyamae-ku, Kawasaki, Kanagawa, Japan.
Seido OokaDivision of Rheumatology and Allergology, Department of Internal Medicine, St. Marianna University School of Medicine, Miyamae-ku, Kawasaki, Kanagawa, Japan.ORCID 0000-0002-5635-345X
Shin MatsuokaDepartment of Radiology, St. Marianna University School of Medicine, Miyamae-ku, Kawasaki, Kanagawa, Japan.
Hayato TomitaDepartment of Radiology, St. Marianna University School of Medicine, Miyamae-ku, Kawasaki, Kanagawa, Japan.
Masanori HiroseDivision of General Internal Medicine, Department of Internal Medicine, St. Marianna University School of Medicine, Miyamae-ku, Kawasaki, Kanagawa, Japan.
Tomonori TakanoDepartment of Infectious Diseases, St. Marianna University School of Medicine, Miyamae-ku, Kawasaki, Kanagawa, Japan.
Shotaro SuzukiDivision of Rheumatology and Allergology, Department of Internal Medicine, St. Marianna University School of Medicine, Miyamae-ku, Kawasaki, Kanagawa, Japan.
Mitsuru ImamuraDivision of Rheumatology and Allergology, Department of Internal Medicine, St. Marianna University School of Medicine, Miyamae-ku, Kawasaki, Kanagawa, Japan.ORCID 0000-0002-2813-4102
Hiroshi HandaDivision of Respiratory Disease, Department of Internal Medicine, St. Marianna University School of Medicine, Miyamae-ku, Kawasaki, Kanagawa, Japan.
Hiroki NishineDivision of Respiratory Disease, Department of Internal Medicine, St. Marianna University School of Medicine, Miyamae-ku, Kawasaki, Kanagawa, Japan.
Mumon TakitaDepartment of Emergency and Critical Care Medicine, St. Marianna University School of Medicine, Miyamae-ku, Kawasaki, Kanagawa, Japan.
Ayu MinouraDepartment of Emergency and Critical Care Medicine, St. Marianna University School of Medicine, Miyamae-ku, Kawasaki, Kanagawa, Japan.
Kenichiro MorisawaDepartment of Emergency and Critical Care Medicine, St. Marianna University School of Medicine, Miyamae-ku, Kawasaki, Kanagawa, Japan.
Takeo InoueDivision of Respiratory Disease, Department of Internal Medicine, St. Marianna University School of Medicine, Miyamae-ku, Kawasaki, Kanagawa, Japan.
Masamichi MineshitaDivision of Respiratory Disease, Department of Internal Medicine, St. Marianna University School of Medicine, Miyamae-ku, Kawasaki, Kanagawa, Japan.
Kimito KawahataDivision of Rheumatology and Allergology, Department of Internal Medicine, St. Marianna University School of Medicine, Miyamae-ku, Kawasaki, Kanagawa, Japan.
Hiromu TakemuraDepartment of Microbiology, St. Marianna University School of Medicine, Miyamae-ku, Kawasaki, Kanagawa, Japan.
Shigeki FujitaniDepartment of Emergency and Critical Care Medicine, St. Marianna University School of Medicine, Miyamae-ku, Kawasaki, Kanagawa, Japan.
Hiroyuki KunishimaDepartment of Infectious Diseases, St. Marianna University School of Medicine, Miyamae-ku, Kawasaki, Kanagawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Presently, coronavirus disease-19 (COVID-19) is spreading worldwide without an effective treatment method. For COVID-19, which is often asymptomatic, it is essential to adopt a method that does not cause aggravation, as well as a method to prevent infection. Whether aggravation can be predicted by analyzing the extent of lung damage on chest computed tomography (CT) scans was examined. The extent of lung damage on pre-intubation chest CT scans of 277 patients with COVID-19 was assessed. It was observed that aggravation occurred when the CT scan showed extensive damage associated with ground-glass opacification and/or consolidation (p < 0.0001). The extent of lung damage was similar across the upper, middle, and lower fields. Furthermore, upon comparing the extent of lung damage based on the number of days after onset, a significant difference was found between the severe pneumonia group (SPG) with intubation or those who died and non-severe pneumonia group (NSPG) ≥3 days after onset, with aggravation observed when ≥14.5% of the lungs exhibited damage at 3-5 days (sensitivity: 88.2%, specificity: 72.4%) and when ≥20.1% of the lungs exhibited damage at 6-8 days (sensitivity: 88.2%, specificity: 69.4%). Patients with aggravation suddenly developed hypoxemia after 7 days from the onset; however, chest CT scans obtained in the paucisymptomatic phase without hypoxemia indicated that subsequent aggravation could be predicted based on the degree of lung damage. Furthermore, in subjects aged ≥65 years, a significant difference between the SPG and NSPG was observed in the extent of lung damage early beginning from 3 days after onset, and it was found that the degree of lung damage could serve as a predictor of aggravation. Therefore, to predict and improve prognosis through rapid and appropriate management, evaluating patients with factors indicating poor prognosis using chest CT is essential.

Indexed as

COVID-19HumansHypoxiaLungRetrospective StudiesSARS-CoV-2Tomography, X-Ray Computed

Identifiers

PMID36327268
PMCPMC9632883

What OpenQuestion holds

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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.