Evidence map›Paper›PMID 32634585›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2020

Dynamic changes in peripheral blood lymphocyte subsets in adult patients with COVID-19.

Zhifeng Deng, Minli Zhang, Ting Zhu, Niu Zhili, Zheming Liu, Rong Xiang, Wei Zhang, Yu Xu

Abstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Trial
  2. Regulatory CD4Journal of leukocyte biology · 2021
    Trial
  3. Investigation of the causal effect and molecular signatures of serum hydroxyvitamin D on atherosclerosis: a Mendelian randomization and transcriptomic approach.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2026
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  20. CD4Infectious diseases & clinical microbiology · 2023
    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

8 authors.

Zhifeng DengDepartment of Otolaryngology - Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Minli ZhangYaxin School of Nursing, Wuhan Institute of Design and Sciences, Wuhan 430205, China.
Ting ZhuDepartment of Otolaryngology - Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Niu ZhiliDepartment of Laboratory Science, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Zheming LiuDepartment of Oncology, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Rong XiangDepartment of Otolaryngology - Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Wei ZhangDepartment of Otolaryngology - Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Yu XuDepartment of Otolaryngology - Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, China. Electronic address: xuy@whu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCoronavirus disease 2019 (COVID-19), caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread widely. The aim of this study was to investigate the dynamic changes in peripheral blood lymphocyte subsets in adult patients with COVID-19.

methodsThe electronic medical records were reviewed. Data including demographic characteristics, clinical manifestations, comorbidities, laboratory data, and radiological examinations of 435 hospitalized COVID-19 patients with a confirmed SARS-CoV-2 viral infection were extracted and analyzed retrospectively. Lymphocyte subset counts at each week after the onset of the illness were compared with those of the other weeks of illness and with those of control individuals.

resultsThe various lymphocyte subsets (CD3+, CD4+, CD8+, CD19+, and CD16/56+) were below the normal ranges at 1 week after the onset of illness, reaching a nadir during the second week. They increased gradually during the third week and returned to normal levels in the fifth week, but were still lower than those of the healthy controls. The CD3+, CD4+, and CD8+ counts were significantly lower in patients with severe disease compared to those with non-severe disease, and in patients who died compared to those who recovered. DISCUSSION: This research indicates that the levels of peripheral blood lymphocyte subsets (CD3+, CD4+, and CD8+) are associated with disease progression and severity, and with the prognosis in patients with COVID-19. Dynamic monitoring of human immune function is one of the indicators for evaluating the severity of disease and the prognosis of COVID-19 patients, and is useful for formulating appropriate treatment strategies.

Indexed as

AdultAgedAged, 80 and overBetacoronavirusComorbidityCoronavirus InfectionsCOVID-19Electronic Health RecordsFemaleHumansLymphocyte CountLymphocyte SubsetsMaleMiddle AgedPandemicsPneumonia, ViralCellular immunityCOVID-19Lymphocyte subsetsPrognosisSeverity

Identifiers

PMID32634585
PMCPMC7334931

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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.