Evidence map›Paper›PMID 40301746›Full record

SynthesisBMC infectious diseases2025

Differences in chest imaging between Omicron and non-Omicron coronavirus disease 2019 (COVID-19) patients: a systematic review and meta-analysis.

Yingying Han, Zhijia Wang, Xingzhao Li, Zhuan Zhong

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC infectious diseases, 2025. 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. 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

4 authors.

Yingying HanDepartment of Neurology, China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, China.
Zhijia WangDepartment of Radiology, China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, China.
Xingzhao LiDepartment of Ultrasound, China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, China.
Zhuan ZhongDepartment of Orthopaedics, The Second Hospital of Jilin University, Changchun, Jilin Province, China. zhongzhuan@jlu.edu.cn.

Funding

Scientific and technological research program of Jilin provincial education department No. JJKH20221045KJ
6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) have posed a great threat to human health. We carried out this systematic review and meta-analysis for two objectives. First, to evaluate the differences in lung infection between the Omicron variants and the non-Omicron strains by chest computed tomography (CT); second, to evaluate the differences in chest CT features between COVID-19 patients with the Omicron variants and those with non-Omicron strains in CT-positive cases.

methodsWe searched PubMed, Embase, Web of Science and China National Knowledge Infrastructure for articles and performed a meta-analysis using Stata 14.0 with a random effects model.

resultsOur study included a total of 8126 patients with COVID-19, 4113 with the Omicron variants, and 4013 with non-Omicron strains. Patients with the Omicron variants were less likely to be CT-positive (OR = 0.14, 95% CI: 0.08-0.25), and further analysis among CT-positive patients was performed. Compared with the CT images of patients with non-Omicron strains, those of patients with the Omicron variants showed atypical pulmonary features (OR = 4.02, 95% CI: 2.31-6.98). Moreover, patients with the Omicron variants typically had lesions that were mainly located in the center of the lung (OR = 4.51, 95% CI: 1.38-14.76) and in a single lobe (OR = 1.72, 95% CI: 1.10-2.70). The patients with the Omicron variants were less likely to have lesions in both lungs (OR = 0.33, 95% CI: 0.15-0.69), more likely to have bronchial wall thickening (OR = 1.99, 95% CI: 1.05-3.77) and less likely to have the crazy-paving pattern (OR = 0.51, 95% CI: 0.33-0.81), linear opacity (OR = 0.26, 95% CI: 0.12-0.60), and vascular enlargement (OR = 0.54, 95% CI: 0.35-0.84).

conclusionsThrough meta-analysis, which yields the highest level of evidence for evidence-based medicine, we further confirmed that there were significant differences in the distribution and manifestations of lesions between patients with non-Omicron strains and those with the Omicron variants on chest CT. The variation in SARS-CoV-2 has never stopped. Our findings are useful for the diagnosis and treatment of new SARS-CoV-2 variants that may appear in the future and provide a basis for public health decision-making. PROSPERO REGISTRATION NUMBER: CRD42024581869.

Indexed as

COVID-19LungSARS-CoV-2HumansTomography, X-Ray ComputedComputed tomographyCoronavirus disease 2019Meta-analysisOmicronSystematic review

Identifiers

PMID40301746
PMCPMC12042635

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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.