Evidence map›Paper›PMID 37376606›Full record

Observational studyViruses2023

Dominant CT Patterns and Immune Responses during the Early Infection Phases of Different SARS-CoV-2 Variants.

Kentaro Nagaoka, Hitoshi Kawasuji, Yusuke Takegoshi, Yushi Murai, Makito Kaneda, Kou Kimoto, Hideki Tani, Hideki Niimi, Yoshitomo Morinaga, Kyo Noguchi and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 35% 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, 2 syntheses or guidelines pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  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

11 authors at 3 institutions in 1 country.

Kentaro NagaokaDepartment of Clinical Infectious Diseases, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan.ORCID 0000-0003-3484-4554
Hitoshi KawasujiDepartment of Clinical Infectious Diseases, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan.
Yusuke TakegoshiDepartment of Clinical Infectious Diseases, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan.
Yushi MuraiDepartment of Clinical Infectious Diseases, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan.
Makito KanedaDepartment of Clinical Infectious Diseases, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan.
Kou KimotoDepartment of Clinical Infectious Diseases, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan.
Hideki TaniDepartment of Virology, Toyama Institute of Health, 17-1 Nakataikouyama, Imizu-shi 939-0363, Japan.ORCID 0000-0002-6309-277X
Hideki NiimiClinical and Research Center for Infectious Diseases, Toyama University Hospital, 2630 Sugitani, Toyama 930-0194, Japan.ORCID 0000-0002-6838-5846
Yoshitomo MorinagaClinical and Research Center for Infectious Diseases, Toyama University Hospital, 2630 Sugitani, Toyama 930-0194, Japan.
Kyo NoguchiDepartment of Radiology, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan.ORCID 0000-0002-6305-8045
Yoshihiro YamamotoDepartment of Clinical Infectious Diseases, Toyama University Graduate School of Medicine and Pharmaceutical Sciences, 2630 Sugitani, Toyama 930-0194, Japan.ORCID 0000-0003-2088-8724
University of Toyama · JPToyama University Hospital · JPToyama Institute of Health · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ground-glass opacity (GGO) and organizing pneumonia (OP) are dominant pulmonary CT lesions associated with COVID-19. However, the role of different immune responses in these CT patterns remains unclear, particularly following the emergence of the Omicron variant. In this prospective observational study, we recruited patients hospitalized with COVID-19, before and after the emergence of Omicron variants. Semi-quantitative CT scores and dominant CT patterns were retrospectively determined for all patients within five days of symptom onset. Serum levels of IFN-α, IL-6, CXCL10, and VEGF were assessed using ELISA. Serum-neutralizing activity was measured using a pseudovirus assay. We enrolled 48 patients with Omicron variants and 137 with precedent variants. While the frequency of GGO patterns was similar between the two groups, the OP pattern was significantly more frequent in patients with precedent variants. In patients with precedent variants, IFN-α and CXCL10 levels were strongly correlated with GGO, whereas neutralizing activity and VEGF were correlated with OP. The correlation between IFN-α levels and CT scores was lower in patients with Omicron than in those with precedent variants. Compared to preceding variants, infection with the Omicron variant is characterized by a less frequent OP pattern and a weaker correlation between serum IFN-α and CT scores.

Indexed as

COVID-19SARS-CoV-2HumansInterferon-alphaRetrospective StudiesTomography, X-Ray ComputedVascular Endothelial Growth Factor AInterferon-alphaVascular Endothelial Growth Factor ACOVID-19CTground-glass opacityOmicronorganizing pneumoniapneumonia

Identifiers

PMID37376606
PMCPMC10302336
OpenAlexW4380090968

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.