Evidence map›Paper›PMID 37468969›Full record

ArticleNeurological research and practice2023

Novel inflammatory biomarkers associated with stroke severity: results from a cross-sectional stroke cohort study.

Lino Braadt, Markus Naumann, Dennis Freuer, Timo Schmitz, Jakob Linseisen, Michael Ertl

Open access · diamondAbstract read
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Article in Neurological research and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Lino BraadtDepartment of Neurology and Clinical Neurophysiology, University Hospital Augsburg, Augsburg, Germany. lino-dominic.braadt@uk-augsburg.de.
Markus NaumannDepartment of Neurology and Clinical Neurophysiology, University Hospital Augsburg, Augsburg, Germany.
Dennis FreuerEpidemiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
Timo SchmitzEpidemiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
Jakob Linseisen *Epidemiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
Michael Ertl *Department of Neurology and Clinical Neurophysiology, University Hospital Augsburg, Augsburg, Germany.
University Hospital Augsburg · DEUniversity of Augsburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke is a leading cause of mortality and disability worldwide and its occurrence is expected to increase in the future. Blood biomarkers have proven their usefulness in identification and monitoring of the disease. Stroke severity is a major factor for estimation of prognosis and risk of recurrent events, but knowledge on respective blood biomarkers is still scarce. Stroke pathophysiology comprises a multitude of ischemia-induced inflammatory and immune mediated responses. Therefore, the assessment of an immune-related panel in correlation with stroke severity seems promising.

methodsIn the present cross-sectional evaluation, a set of 92 blood biomarkers of a standardized immune panel were gathered (median 4.6 days after admission) and related to stroke severity measures, assessed at hospital admission of acute stroke patients. Multivariable logistic regression models were used to determine associations between biomarkers and modified Rankin Scale (mRS), linear regression models were used for associations with National Institute of Health Stroke Scale.

results415 patients (mean age 69 years; 41% female) were included for biomarker analysis. C-type lectin domain family 4 member G (CLEC4G; OR = 2.89, 95% CI [1.49; 5.59], p

conclusionsHigher relative concentrations of plasma CLEC4G, CKAP4, and IL-6 were associated with higher stroke severity, whereas LY75 and ITGA11 showed an inverse association. Future research might show a possible use as therapeutic targets and application in individual risk assessments.

Indexed as

BiomarkersFunctional outcomeStrokeStroke severity

Identifiers

PMID37468969
PMCPMC10357843
OpenAlexW4384818914

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Registered trials

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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.