Evidence map›Paper›PMID 36860638›Full record

ArticleJournal of translational internal medicine2022

Characteristics of the Severe Acute Respiratory Syndrome Coronavirus 2 Omicron BA.2 Subvariant in Jilin, China from March to May 2022.

Han Liu, Shuai Wang, Siqi Yang, Sean X Luo, Jing Jie, Shucheng Hua, Liping Peng, Jingjing Luo, Lei Song, Dan Li

Open access · hybridAbstract read
In one paragraph

Article in Journal of translational internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. 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

10 authors at 2 institutions in 1 country.

Han LiuDepartment of Respiratory Medicine, The First Hospital of Jilin University, Changchun 130000, Jilin Province, China.
Shuai WangDepartment of Vascular Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun 130000, Jilin Province, China.
Siqi YangDepartment of Respiratory Medicine, The First Hospital of Jilin University, Changchun 130000, Jilin Province, China.
Sean X LuoDepartment of Vascular Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun 130000, Jilin Province, China.
Jing JieDepartment of Respiratory Medicine, The First Hospital of Jilin University, Changchun 130000, Jilin Province, China.
Shucheng HuaDepartment of Respiratory Medicine, The First Hospital of Jilin University, Changchun 130000, Jilin Province, China.
Liping PengDepartment of Respiratory Medicine, The First Hospital of Jilin University, Changchun 130000, Jilin Province, China.
Jingjing LuoDepartment of Respiratory Medicine, The First Hospital of Jilin University, Changchun 130000, Jilin Province, China.
Lei SongDepartment of Respiratory Medicine, The First Hospital of Jilin University, Changchun 130000, Jilin Province, China.
Dan LiDepartment of Respiratory Medicine, The First Hospital of Jilin University, Changchun 130000, Jilin Province, China.
Jilin University · CNFirst Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: In the midst of the pandemic, new coronavirus mutants continue to emerge; the most relevant variant worldwide is omicron. Here, patients who recovered from the disease living in Jilin Province were analyzed to identify factors affecting the severity of omicron infection and to provide insights into its spread and early indication. Methods: In this study, 311 cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were divided into two groups. Data on the patients' demographic characteristics and laboratory tests, including platelet count (PLT), neutrophil count (NE), C-reactive protein (CRP), serum creatinine (SCR), and neutrophil-to-lymphocyte ratio (NLR), were collected. The biomarkers for moderate and severe coronavirus disease 2019 (COVID-19) and factors affecting the incubation period and time to subsequent negative nucleic acid amplification test (NAAT) were also investigated. Results: Age, gender, vaccination, hypertension, stroke, chronic obstructive pulmonary disease (COPD)/chronic bronchitis/asthma, and some laboratory tests were statistically different between the two groups. In the receiver operating characteristic (ROC) analysis, PLT and CRP had higher area under the ROC curve values. In the multivariate analysis, age, hypertension, COPD/chronic bronchitis/asthma, and CRP were correlated with moderate and severe COVID-19. Moreover, age was correlated with longer incubation. In the Kaplan-Meier curve analysis, gender (male), CRP, and NLR were associated with longer time to subsequent negative NAAT. Conclusions: Older patients with hypertension and lung diseases were likely to have moderate or severe COVID-19, and younger patients might have a shorter incubation. A male patient with high CRP and NLR levels might take more time to turn back negative in the NAAT.

Indexed as

epidemiologylaboratory testsnucleic acid amplification testomicronSARS-CoV-2

Identifiers

PMID36860638
PMCPMC9969560
OpenAlexW4309542125

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.