Evidence map›Paper›PMID 38328723›Full record

ArticleNorthern clinics of Istanbul2023

The importance of inflammatory biomarkers in ischemic stroke patients with carotid artery stenosis.

Aysel Tekesin, Ahmet Batuhan Demiral, Ahmet Yildirim

Abstract read
In one paragraph

Article in Northern clinics of Istanbul, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Aysel TekesinDepartment of Neurology, Health Sciences University, Istanbul Training and Research Hospital, Istanbul, Turkiye.
Ahmet Batuhan DemiralDepartment of Neurology, Health Sciences University, Istanbul Training and Research Hospital, Istanbul, Turkiye.
Ahmet YildirimDepartment of Neurology, Istanbul Medeniyet University, Goztepe Training and Research Hospital, Istanbul, Turkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to investigate inflammatory markers and their relationship with the degree of stenosis in ischemic stroke patients with carotid artery stenosis.

methodsThis retrospective case-control study was conducted with 70 newly diagnosed ischemic stroke patients and 70 age- and gender-matched healthy controls. Laboratory analyses were carried out including serum hemogram, biochemistry profiles, erythrocyte sedimentation rate, and C-reactive protein (CRP). Mean platelet volume (MPV), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-high-density lipoprotein cholesterol ratio (MHR) values were calculated, and compared between the patients and healthy controls. Patients were divided into two groups according to the degree of arterial carotid stenosis. The degree of carotid stenosis was <50% in Group 1 and it was 50% and above in Group 2.

resultsIn the patient group, neutrophil, monocyte, MPV, CRP, sedimentation, MHR, PLR, and NLR levels were significantly higher than the control group. There was no significant correlation between the level of carotid stenosis and inflammatory biomarkers. There was a significant correlation between the presentation NIHSS value and CRP, PLR, and NLR values.

conclusionInflammatory biomarker values were higher in stroke patients with carotid artery stenosis than in healthy individuals. However, they should neither be used to predict the degree of carotid artery stenosis.

Indexed as

Carotid artery stenosisinflammatory markersischemic strokelaboratories

Identifiers

PMID38328723
PMCPMC10846580

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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.