Evidence map›Paper›PMID 32930458›Full record

Trial reportJournal of leukocyte biology2021

Regulatory CD4

Menglu Gao, Yili Liu, Mingquan Guo, Qianying Wang, Yan Wang, Jian Fan, Yinzhong Shen, Junjie Hou, Yanmin Wan, Zhaoqin Zhu

Open access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in Journal of leukocyte biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 17% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. The characterization of CD8Emerging microbes & infections · 2024
    Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. CD8Frontiers in immunology · 2022
    Review
  20. Review
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.

Menglu GaoDepartment of Laboratory Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Yili LiuDepartment of Laboratory Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Mingquan GuoDepartment of Laboratory Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Qianying WangDepartment of Laboratory Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Yan WangDepartment of Laboratory Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Jian FanDepartment of Laboratory Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Yinzhong ShenDepartment of Laboratory Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Junjie HouShanghai Runda Rongjia Biotechnology Co., Ltd, Shanghai, China.
Yanmin WanDepartment of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.ORCID 0000-0001-5027-9423
Zhaoqin ZhuDepartment of Laboratory Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.ORCID 0000-0003-1101-5999
Shanghai Public Health Clinical Center · CNFudan University · CN

Funding

Major Special Projects of the Ministry of Science and Technology 2018ZX10714002-001-005National Natural Science Foundation of China 81671636National Natural Science Foundation of China 81971559National Natural Science Foundation of China 82041010Shanghai Science and Technology Commission 20411950502Shanghai Science and Technology Commission 20431900403
6 · The paper itself

Abstract

Regulatory T cell can protect against severe forms of coronaviral infections attributable to host inflammatory responses. But its role in the pathogenesis of COVID-19 is still unclear. In this study, frequencies of total and multiple subsets of lymphocytes in peripheral blood of COVID-19 patients and discharged individuals were analyzed using a multicolor flow cytometry assay. Plasma concentration of IL-10 was measured using a microsphere-based immunoassay kit. Comparing to healthy controls, the frequencies of total lymphocytes and T cells decreased significantly in both acutely infected COVID-19 patients and discharged individuals. The frequencies of total lymphocytes correlated negatively with the frequencies of CD3

Indexed as

CD8-Positive T-LymphocytesCOVID-19SARS-CoV-2T-Lymphocytes, RegulatoryAdultAgedAntigens, CDCD4-CD8 RatioFemaleHumansKiller Cells, NaturalMaleMiddle AgedAntigens, CDCD4+ T cellCD8+ T cellCOVID-19lymphopeniaregulatory T cell

Identifiers

PMID32930458
PMCPMC10016821
OpenAlexW3084453033

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.