Evidence map›Paper›PMID 34707085›Full record

ReviewSignal transduction and targeted therapy2021

Myeloid cells in COVID-19 microenvironment.

Guohui Qin, Shasha Liu, Li Yang, Weina Yu, Yi Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Signal transduction and targeted therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. CD169Frontiers in cellular and infection microbiology · 2026
    Article
  4. Article
  5. Increased levels of GM-CSF and CXCL10 and low CD8Immunity & ageing : I & A · 2024
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  7. Review
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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

5 authors at 2 institutions in 1 country.

Guohui Qin *Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Shasha Liu *Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Li Yang *Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Weina YuBiotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
Yi ZhangBiotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China. yizhang@zzu.edu.cn.ORCID 0000-0001-9861-4681
First Affiliated Hospital of Zhengzhou University · CNZhengzhou University · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82072578National Natural Science Foundation of China (National Science Foundation of China) U1804281
6 · The paper itself

Abstract

Varying differentiation of myeloid cells is common in tumors, inflammation, autoimmune diseases, and metabolic diseases. The release of cytokines from myeloid cells is an important driving factor that leads to severe COVID-19 cases and subsequent death. This review briefly summarizes the results of single-cell sequencing of peripheral blood, lung tissue, and cerebrospinal fluid of COVID-19 patients and describes the differentiation trajectory of myeloid cells in patients. Moreover, we describe the function and mechanism of abnormal differentiation of myeloid cells to promote disease progression. Targeting myeloid cell-derived cytokines or checkpoints is essential in developing a combined therapeutic strategy for patients with severe COVID-19.

Indexed as

AnimalsCell DifferentiationCellular MicroenvironmentCOVID-19HumansMyeloid CellsSARS-CoV-2Single-Cell Analysis

Identifiers

PMID34707085
PMCPMC8549428
OpenAlexW3209375127

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.