Evidence map›Paper›PMID 36818628›Full record

ArticleWorld journal of clinical cases2023

Chest computed tomography findings of the Omicron variants of SARS-CoV-2 with different cycle threshold values.

Wei-Feng Ying, Qiong Chen, Zhi-Kui Jiang, Da-Guang Hao, Ying Zhang, Qian Han

Open access · diamondAbstract read
In one paragraph

Article in World journal of clinical cases, 2023. 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
0.4field-weighted citation impact, top 43% 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

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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, 2 citations in OpenAlex.

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4 · The record

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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

6 authors at 1 institution in 1 country.

Wei-Feng YingDepartment of Radiology, Shanghai Xuhui Dahua Hospital, Shanghai 200237, China.
Qiong ChenDepartment of Radiology, Shanghai Xuhui Dahua Hospital, Shanghai 200237, China. cq1444@sina.com.
Zhi-Kui JiangDepartment of Clinical Laboratory, Shanghai Xuhui Dahua Hospital, Shanghai 200237, China.
Da-Guang HaoDepartment of Radiology, Shanghai Xuhui Dahua Hospital, Shanghai 200237, China.
Ying ZhangDepartment of Radiology, Shanghai Xuhui Dahua Hospital, Shanghai 200237, China.
Qian HanDepartment of Clinical Laboratory, Shanghai Xuhui Dahua Hospital, Shanghai 200237, China.
Dahua Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mainly infects the upper respiratory tract. This study aimed to determine whether the probability of pulmonary infection and the cycle threshold (Ct) measured using the fluorescent polymerase chain reaction (PCR) method were related to pulmonary infections diagnosed

aimTo analyze the chest CT signs of SARS-CoV-2 Omicron variant infections with different Ct values, as determined

methodsThe chest CT images and PCR Ct values of 331 patients with SARS-CoV-2 Omicron variant infections were retrospectively collected and categorized into low (< 25), medium (25.00-34.99), and high (≥ 35) Ct groups. The characteristics of chest CT images in each group were statistically analyzed.

resultsThe PCR Ct values ranged from 13.36 to 39.81, with 99 patients in the low, 155 in the medium, and 77 in the high Ct groups. Six abnormal chest CT signs were detected, namely, focal infection, patchy consolidation shadows, patchy ground-glass shadows, mixed consolidation ground-glass shadows, subpleural interstitial changes, and pleural changes. Focal infections were less frequent in the low Ct group than in the medium and high Ct groups; these infections were the most common sign in the medium and high Ct groups. Patchy consolidation shadows and pleural changes were more frequent in the low Ct group than in the other two groups. The number of patients with two or more signs was greater in the low Ct group than in the medium and high Ct groups.

conclusionThe chest CT signs of patients with pulmonary infection caused by the Omicron variants of SARS-CoV-2 varied depending on the Ct values. Identification of the characteristics of Omicron variant infection can help subsequent planning of clinical treatment.

Indexed as

Computed tomographyCOVID-19Cycle thresholdOmicron variantPolymerase chain reactionSARS-CoV-2

Identifiers

PMID36818628
PMCPMC9928689
OpenAlexW4319160996

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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.