Evidence map›Paper›PMID 36979880›Full record

ArticleBiomedicines2023

Comparative Analysis of Clinical and CT Findings in Patients with SARS-CoV-2 Original Strain, Delta and Omicron Variants.

Xiaoyu Han, Jingze Chen, Lu Chen, Xi Jia, Yanqing Fan, Yuting Zheng, Osamah Alwalid, Jie Liu, Yumin Li, Na Li and 3 more

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Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
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

13 authors.

Xiaoyu HanDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Jingze ChenDepartment of Pharmacy, Wuhan Jinyintan Hospital, Wuhan 430022, China.ORCID 0000-0003-3521-6728
Lu ChenDepartment of Radiology, Wuhan Jinyintan hospital, Wuhan 430022, China.
Xi JiaDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Yanqing FanDepartment of Radiology, Wuhan Jinyintan hospital, Wuhan 430022, China.
Yuting ZhengDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Osamah AlwalidDepartment of Diagnostic Imaging, Sidra Medicine, Doha 26999, Qatar.
Jie LiuDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Yumin LiDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Na LiDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Jin GuDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Jiangtao WangXiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang 441021, China.
Heshui ShiDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.ORCID 0000-0001-7644-3711

Funding

National Natural Science Foundation of China 82071921Nature Science Foundation of Hubei Province 2022CFB230
6 · The paper itself

Abstract

objectivesTo compare the clinical characteristics and chest CT findings of patients infected with Omicron and Delta variants and the original strain of COVID-19.

methodsA total of 503 patients infected with the original strain (245 cases), Delta variant (90 cases), and Omicron variant (168 cases) were retrospectively analyzed. The differences in clinical severity and chest CT findings were analyzed. We also compared the infection severity of patients with different vaccination statuses and quantified pneumonia by a deep-learning approach.

resultsThe rate of severe disease decreased significantly from the original strain to the Delta variant and Omicron variant (27% vs. 10% vs. 4.8%,

conclusionsCompared with the original strain and Delta variant, the Omicron variant had less clinical severity and less lung injury on CT scans.

Indexed as

CT imagingDelta variantOmicron variantoriginal strainSARS-CoV-2

Identifiers

PMID36979880
PMCPMC10046064

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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.