Evidence map›Paper›PMID 37274874›Full record

ArticleArchives of Razi Institute2022

Overexpressed Toll-Like Receptor 2 and the Influence on the Severity of Acute Ischemic Stroke.

A Jaber Al-Mamoori, H M S Abdulameer Almustafa, Y Alsaffar

Open access · greenAbstract read
In one paragraph

Article in Archives of Razi Institute, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

3 authors at 1 institution in 1 country.

A Jaber Al-MamooriDepartment of Medicine, College of Medicine, University of Babylon, Hilla, Iraq.
H M S Abdulameer AlmustafaCollege of Medicine, University of Babylon, Hilla, Iraq.
Y AlsaffarMacquarie University Sydney Australia, FIBMS (Internal Medicine) the University of Babylon, Hilla, Iraq.
University of Babylon · IQ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain insult caused by cerebral ischemia/reperfusion is a complex pathophysiological process in which inflammatory reaction is thought to play a crucial part. Toll-like receptors are a sort of transmembrane proteins that can initiate inflammatory reactions upon identifying either endogenous stress or changes in the innate immune system's molecular patterns that are damage-associated or even exogenous pathogen-associated molecular patterns. TLR2, amongst all other Toll-like receptors, is recognized to have a more vital role in the pathologic progress of brain insult attributed to ischemia/reperfusion. The current study aimed to address the impact of TLR2 overexpression on the severity of acute ischemic stroke. A case-control study was piloted on two groups of participants; the first group (cases) was 95 patients suffering from acute ischemic stroke, while the second one (controls) was 50 volunteers free of disease. Matching controls to patients was done according to age (within five years) and gender. The study extended from the beginning of February to the end of August 2020. Participants in both groups were collected from Merjan Medical city in Babylon Governorate. Values of Toll-like receptor 5 were calculated with the real-time polymerase chain reaction (RT-PCR) technique. Statistically, a significant difference was found between the patients and controls concerning the values of TLR2 (

Indexed as

Ischemic StrokeToll-Like Receptor 2Case-Control StudiesHumansInflammationTLR2 protein, humanToll-Like Receptor 2Acute Ischemic StrokePCRTLR2

Identifiers

PMID37274874
PMCPMC10237564
OpenAlexW4379509201

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.