Evidence map›Paper›PMID 35346253›Full record

ArticleVirology journal2022

Characteristics of lymphocyte subsets and cytokine profiles of patients with COVID-19.

Pengfei Pan, Xinxin Du, Qilong Zhou, Yong Cui, Xiaochun Deng, Chao Liu, Zongjun Hu, Jianguo Chen, Xiangyou Yu, Weihua Shi

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.9field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 30 citations in OpenAlex.

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  12. CD4Infectious diseases & clinical microbiology · 2023
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  18. Activated CD8Frontiers in immunology · 2022
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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.

Pengfei Pan *Department of Critical Care Medicine, Chongqing University Three Gorges Hospital, Chongqing, 404100, China.
Xinxin Du *Department of Critical Care Medicine, The First Affiliated Hospital of Xinjiang Medical University, Ürümqi, 830054, China.
Qilong Zhou *Department of Critical Care Medicine, Chongqing University Three Gorges Hospital, Chongqing, 404100, China.
Yong CuiDepartment of Critical Care Medicine, Chongqing University Three Gorges Hospital, Chongqing, 404100, China.
Xiaochun DengDepartment of Critical Care Medicine, Chongqing University Three Gorges Hospital, Chongqing, 404100, China.
Chao LiuDepartment of Critical Care Medicine, Chongqing University Three Gorges Hospital, Chongqing, 404100, China.
Zongjun HuDepartment of Critical Care Medicine, Chongqing University Three Gorges Hospital, Chongqing, 404100, China.
Jianguo ChenDepartment of Critical Care Medicine, Chongqing University Three Gorges Hospital, Chongqing, 404100, China.
Xiangyou YuDepartment of Critical Care Medicine, The First Affiliated Hospital of Xinjiang Medical University, Ürümqi, 830054, China. yu2796@163.com.
Weihua ShiDepartment of Traditional Chinese Medicine, Chongqing University Three Gorges Hospital, Chongqing, 404100, China. 498181698@qq.com.ORCID 0000-0001-6433-6185
Chongqing University · CNXinjiang Medical University · CN

Funding

the first batch of emergency specialized scientific research fund projects for prevention and control of covid-19 in wanzhou wzstc-202004
6 · The paper itself

Abstract

backgroundAbnormalities of lymphocyte subsets and cytokine profiles have been observed in most patients with coronavirus disease (COVID-19). Here, we explore the role of lymphocyte subsets and cytokines on hospital admission in predicting the severity of COVID-19.

methodsThis study included 214 patients with COVID-19 who were treated at Chongqing University Three Gorges Hospital from January 19, 2020 to April 30, 2020. Any mutants were not detected in the studied patients. Patients were divided into non-intensive care unit (ICU) (mild/moderate) group and ICU (severe/critical) group, according to the severity of the disease. Clinical and laboratory data, including peripheral lymphocyte subsets and cytokines, were analyzed and compared. Logistic regression was used to analyze the predictive factors for ICU admission. Receiver operating characteristic (ROC) curves were drawn to evaluate the predictive value of selected indicators for the severity of COVID-19.

resultsOf the 214 patients enrolled, 161 were non-ICU patients and 53 were ICU patients. Lymphopenia was observed in nearly all of ICU patients (96.2%) and 84.5% of non-ICU patients on hospital admission. The absolute number of lymphocytes, CD3

conclusionsThe levels of lymphocyte subsets decreased and the level of IL-6 increased significantly in ICU COVID-19 patients compared with non-ICU COVID-19 patients. Therefore, the number of CD3

Indexed as

CD8-Positive T-LymphocytesCOVID-19HumansInterleukin-6Killer Cells, NaturalLymphocyte SubsetsPrognosisInterleukin-6Coronavirus diseaseCytokinesLymphocyte subsets

Identifiers

PMID35346253
PMCPMC8960102
OpenAlexW4226085511

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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.