Evidence map›Paper›PMID 35547377›Full record

ArticleFrontiers in neurology2022

Longitudinal Variations of CDC42 in Patients With Acute Ischemic Stroke During 3-Year Period: Correlation With CD4

Xiao Cheng, Jianxin Ye, Xiaolei Zhang, Kun Meng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. CD4Frontiers in immunology · 2025
    Review
  2. Article
  3. Correlation of the serum cell division cycle 42 with CD4Frontiers in cardiovascular medicine · 2024
    Article
  4. Article
  5. Article
  6. Linkage of blood cell division cycle 42 with T helper cells, and their correlation with anxiety, depression, and cognitive impairment in stroke patients.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2023
    Article
  7. Article
  8. Article
  9. 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

4 authors at 2 institutions in 1 country.

Xiao ChengDepartment of Neurology, ShanXi Province People's Hospital of Shanxi Medical University, Taiyuan, China.
Jianxin YeDepartment of Neurology, The 900th Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army, Fuzhou, China.
Xiaolei ZhangDepartment of Neurology, ShanXi Province People's Hospital of Shanxi Medical University, Taiyuan, China.
Kun MengDepartment of Neurology, ShanXi Province People's Hospital of Shanxi Medical University, Taiyuan, China.
Shanxi Medical University · CNChinese People's Liberation Army · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Cell division cycle 42 (CDC42) modulates CD4 Methods: Blood CDC42 was detected in 143 patients with AIS at multiple time points during the 3-year follow-up period and in 70 controls at admission by reverse transcription-quantitative polymerase chain reaction (RT-qPCR). In addition, blood Th1, Th2, and Th17 cells and their secreted cytokines (interferon-γ (IFN-γ), interleukin-4 (IL-4), and interleukin-17A (IL-17A)) in patients with AIS were detected by flow cytometry and enzyme-linked immunosorbent assay (ELISA), respectively. Results: Compared with controls ( Conclusion: CDC42 is used as a biomarker to constantly monitor disease progression and recurrence risk of patients with AIS.

Indexed as

acute ischemic strokecell division cycle 42NIHSSprognosisTh1/2/17 cells

Identifiers

PMID35547377
PMCPMC9081787
OpenAlexW4224325733

What OpenQuestion holds

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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.