Evidence map›Paper›PMID 32788440›Full record

ArticleNeural regeneration research2021

Microglia-associated neuroinflammation is a potential therapeutic target for ischemic stroke.

Wan Zhang, Tian Tian, Shao-Xin Gong, Wen-Qian Huang, Qin-Yi Zhou, Ai-Ping Wang, Ying Tian

Open access · goldAbstract read
In one paragraph

Article in Neural regeneration research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
6.9field-weighted citation impact, top 2% 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

84 citing papers in PubMed, 170 citations in OpenAlex.

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24 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 1 country.

Wan ZhangInstitute of Clinical Research, Affiliated Nanhua Hospital, University of South China, Hengyang, Hunan Province, China.
Tian TianDepartment of Clinical Laboratory, the First Hospital of Changsha, Changsha, Hunan Province, China.
Shao-Xin GongDepartment of Pathology, the First Affiliated Hospital of University of South China, Hengyang, Hunan Province, China.
Wen-Qian HuangInstitute of Clinical Research, Affiliated Nanhua Hospital, University of South China, Hengyang, Hunan Province, China.
Qin-Yi ZhouInstitute of Clinical Research, Affiliated Nanhua Hospital, University of South China, Hengyang, Hunan Province, China.
Ai-Ping WangInstitute of Clinical Research, Affiliated Nanhua Hospital, University of South China, Hengyang, Hunan Province, China.
Ying TianInstitute of Clinical Research, Affiliated Nanhua Hospital, University of South China, Hengyang, Hunan Province, China.
University of South China · CNThe First Hospital of Changsha · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microglia-associated neuroinflammation plays an important role in the pathophysiology of ischemic stroke. Microglial activation and polarization, and the inflammatory response mediated by these cells play important roles in the development, progression and outcome of brain injury after ischemic stroke. Currently, there is no effective strategy for treating ischemic stroke in clinical practice. Therefore, it is clinically important to study the role and regulation of microglia in stroke. In this review, we discuss the involvement of microglia in the neuroinflammatory process in ischemic stroke, with the aim of providing a better understanding of the relationship between ischemic stroke and microglia.

Indexed as

braincellscentral nervous systeminflammationinjurymacrophagesrepairreviewstroke

Identifiers

PMID32788440
PMCPMC7818879
OpenAlexW3048669087

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.