Evidence map›Paper›PMID 34344353›Full record

SynthesisBMC infectious diseases2021

Associations of immunological features with COVID-19 severity: a systematic review and meta-analysis.

Zhicheng Zhang, Guo Ai, Liping Chen, Shunfang Liu, Chen Gong, Xiaodong Zhu, Chunli Zhang, Hua Qin, Junhui Hu, Jinjin Huang

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis 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 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
–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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. COVID-19 and Lung Cancer Interactions: A Literature Review.Medical sciences (Basel, Switzerland) · 2025
    Review
  7. Observational
  8. Article
  9. Anti-inflammatory effects ofFrontiers in pharmacology · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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.

Zhicheng ZhangDepartment of Gastroenterology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Guo AiDepartment of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Liping ChenDepartment of Gastroenterology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Shunfang LiuDepartment of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Chen GongDepartment of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiaodong ZhuDepartment of Oncology, Huang Gang Central Hospital, Huanggang, China.
Chunli ZhangDepartment of Endocrinology, Huang Gang Central Hospital, Huanggang, China.
Hua QinDepartment of Gastroenterology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Junhui HuDepartment of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles (UCLA), Los Angeles, USA. junhuihu@mednet.ucla.edu.
Jinjin HuangDepartment of Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. zczhang@tjh.tjmu.edu.cn.ORCID http://orcid.org/0000-0003-1630-0385

Funding

Fundamental Research Funds for the Central Universities 2016YXMS111
6 · The paper itself

Abstract

backgroundCOVID-19 has spread widely worldwide, causing millions of deaths. We aim to explore the association of immunological features with COVID-19 severity.

methodsWe conducted a meta-analysis to estimate mean difference (MD) of immune cells and cytokines levels with COVID-19 severity in PubMed, Web of Science, Scopus, the Cochrane Library and the grey literature.

resultsA total of 21 studies with 2033 COVID-19 patients were included. Compared with mild cases, severe cases showed significantly lower levels of immune cells including CD3

conclusionOur meta-analysis revealed significantly lower levels of immune cells (CD3

Indexed as

COVID-19ChemokinesCytokinesHumansKiller Cells, NaturalSARS-CoV-2ChemokinesCytokinesChemokinesCOVID-19CytokinesImmune cellsmeta-analysisSeverity

Identifiers

PMID34344353
PMCPMC8329624

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.