Evidence map›Paper›PMID 33557779›Full record

ArticleBMC infectious diseases2021

Differences of blood cells, lymphocyte subsets and cytokines in COVID-19 patients with different clinical stages: a network meta-analysis.

Wu Yan, Danrong Chen, Francis Manyori Bigambo, Hongcheng Wei, Xu Wang, Yankai Xia

Open access · goldAbstract readNetwork Meta-Analysis
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
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  13. SARS-CoV-2 in Childhood Cancer in 2020: A Disease of Disparities.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2021
    Observational
  14. Epigenetic Clocks Are Not Accelerated in COVID-19 Patients.International journal of molecular sciences · 2021
    Article
  15. Article
  16. 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

6 authors at 3 institutions in 2 countries.

Wu Yan *State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, No.101 Longmian Road, Nanjing, Nanjing, 211166, China.
Danrong Chen *State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, No.101 Longmian Road, Nanjing, Nanjing, 211166, China.
Francis Manyori Bigambo *State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, No.101 Longmian Road, Nanjing, Nanjing, 211166, China.
Hongcheng WeiState Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, No.101 Longmian Road, Nanjing, Nanjing, 211166, China.
Xu WangDepartment of Endocrinology, Children's Hospital of Nanjing Medical University, Nanjing, 210008, China. sepnine@njmu.edu.cn.
Yankai XiaState Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, No.101 Longmian Road, Nanjing, Nanjing, 211166, China. yankaixia@njmu.edu.cn.ORCID http://orcid.org/0000-0003-0484-4035
Nanjing Medical University · CNMinistry of Education · KRNanjing Children's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDue to the rapid spread of coronavirus disease 2019 (COVID-19) worldwide, it is necessary to ascertain essential immune inflammatory parameters that describe the severity of the disease and provide guidance for treatment. We performed network meta-analyses to determine differences in blood cells, lymphocyte subsets, and cytokines in COVID-19 patients with different clinical stages.

methodsDatabases were systematically searched to May 2, 2020, and updated on June 1, 2020. Network meta-analyses were conducted via Stata 15.0, and the mean difference (MD) and its 95% CI were used as the effect values of the pooled analysis.

resultsSeventy-one studies were included involving 8647 COVID-19 patients, White blood cell (WBC), neutrophil (NEUT), IL-6, and IL-10 counts increased significantly with worsening of the COVID-19, while lymphocyte (LYM) counts decreased. The levels of platelet (PLT), CD3

conclusionsImmune suppression and inflammatory injury play crucial roles in the progression of COVID-19, and the identification of susceptible cells and cytokines provide guidance for the early and accurate treatment of COVID-19 patients.

Indexed as

Blood CellsLymphocyte SubsetsAdultAgedCOVID-19CytokinesFemaleHumansInflammationInterleukin-10Interleukin-1betaLymphocyte CountMaleMiddle AgedNeutrophilsSeverity of Illness IndexCytokinesIL10 protein, humanInterleukin-10Interleukin-1betaBlood cellsClinical stagesCOVID-19CytokinesLymphocyte subsetsNetwork meta-analysis

Identifiers

PMID33557779
PMCPMC7868864
OpenAlexW3126332013

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.