Evidence map›Paper›PMID 37547382›Full record

ArticleClinical interventions in aging2023

Correlation Between

Meng Miao, Mingyang Lyu, Chi Zhong, Ying Liu

Abstract read
In one paragraph

Article in Clinical interventions in aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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.

Meng MiaoDepartment of Neurology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, Shandong, People's Republic of China.ORCID 0000-0002-5599-9937
Mingyang LyuHaihe Laboratory of Cell Ecosystem, Tianjin, People's Republic of China.
Chi ZhongDepartment of Neurology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, Shandong, People's Republic of China.ORCID 0009-0004-3606-5495
Ying LiuDepartment of Neurology, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Objective: Dyskinesia caused by transient ischemic attack (TIA) and mild ischemic stroke (MIS) is mild and short-lived; however, cognitive impairment (CI) can occur in the acute phase and be easily overlooked. DNA methylation is an epigenetic phenomenon that can affect gene expression through gene silencing. Blood levels of matrix metalloproteinase (MMP) 9 are elevated in ischemic stroke patients and is associated with the destruction of the blood-brain barrier and the occurrence of CI. No studies have investigated the relationship between Methods: Data from 112 subjects were collected, including 84 with TIA/MIS (National Institutes of Health Stroke Scale <5 points) and 28 non-stroke control subjects. Patients were evaluated within 7 days of TIA/MIS onset according to four single-domain cognitive scales. Whole blood DNA methylation was detected using MethylTarget sequencing technology. Comparison of Results: The site S33-79 in the TIA/MIS group was hypomethylated compared with the control group, and sites S33-25 and S33-30 in TIA/MIS with ECI was hypomethylated compared with TIA/MIS without ECI. Compared with the small artery occlusion group, Conclusion:

Indexed as

AtherosclerosisCognitive DysfunctionIschemic Attack, TransientIschemic StrokeStrokeHumansMatrix Metalloproteinase 9MethylationProspective StudiesMatrix Metalloproteinase 9MMP9 protein, humanamyloid β-proteinblood-brain barrierearly cognitive impairmenthypomethylationMMP9 gene

Identifiers

PMID37547382
PMCPMC10404041

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.