Evidence map›Paper›PMID 33146564›Full record

ArticleAmerican journal of physiology. Lung cellular and molecular physiology2021

High-dimensional single-cell analysis reveals the immune characteristics of COVID-19.

Wen Shi, Xiuxing Liu, Qiqi Cao, Pengjuan Ma, Wenqing Le, Lihui Xie, Jinguo Ye, Wen Wen, Hao Tang, Wenru Su and 2 more

Open access · greenAbstract read
In one paragraph

Article in American journal of physiology. Lung cellular and molecular physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 11% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. The role of dendritic cells in COVID-19 infection.Emerging microbes & infections · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Relevance ofFrontiers in immunology · 2022
    Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Observational
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

12 authors at 2 institutions in 1 country.

Wen ShiState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, People's Republic of China.
Xiuxing LiuState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, People's Republic of China.
Qiqi CaoNational Center for Liver Cancer Second Military Medical University, Shanghai, China.
Pengjuan MaState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, People's Republic of China.
Wenqing LeDepartment of Critical Care, Wuhan Huoshenshan Hospital, Hubei, China.
Lihui XieState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, People's Republic of China.
Jinguo YeState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, People's Republic of China.
Wen WenNational Center for Liver Cancer Second Military Medical University, Shanghai, China.
Hao TangDepartment of Critical Care, Wuhan Huoshenshan Hospital, Hubei, China.
Wenru SuState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, People's Republic of China.
Yingfeng ZhengState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, People's Republic of China.ORCID 0000-0002-0914-7864
Yizhi LiuState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, People's Republic of China.
Sun Yat-sen University · CNSecond Military Medical University · CN

Funding

National Natural Science Foundation of China (NSFC) 81530028National Natural Science Foundation of China (NSFC) 81721003
6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19), driven by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was declared a global pandemic in March 2020. Pathogenic T cells and inflammatory monocytes are regarded as the central drivers of the cytokine storm associated with the severity of COVID-19. In this study, we explored the characteristic peripheral cellular profiles of patients with COVID-19 in both acute and convalescent phases by single-cell mass cytometry (CyTOF). Using a combination of algorithm-guided data analyses, we identified peripheral immune cell subsets in COVID-19 and revealed CD4

Indexed as

AdultAgedAntigen PresentationCD4-Positive T-LymphocytesCOVID-19Cytokine Release SyndromeCytokinesDendritic CellsFemaleHumansKiller Cells, NaturalLeukocytes, MononuclearLymphocyte DepletionMaleMiddle AgedMonocytesCytokinesacute phaseconvalescent phaseCOVID-19CyTOFperipheral blood mononuclear cellSARS-CoV-2

Identifiers

PMID33146564
PMCPMC7869955
OpenAlexW3095599015

What OpenQuestion holds

Textmetadata
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.