Evidence map›Paper›PMID 42799501›Full record

ArticleDusunen adam : Bakirkoy Ruh ve Sinir Hastaliklari Hastanesi yayin organi2026

Neutrophils and leukocytes in acute ischemic stroke: Traditional markers for predicting clinical outcomes.

Sena Aksoy, Bayram Yilmaz, Yasemin Gursoy Ozdemir

Abstract read
In one paragraph

Article in Dusunen adam : Bakirkoy Ruh ve Sinir Hastaliklari Hastanesi yayin organi, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sena AksoyIstanbul Aydin University, Florya Medicalpark Hospital Stroke Center, Neurology, Istanbul, Turkiye.
Bayram YilmazDokuz Eylul University, Department of Physiology, Izmir, Turkiye.
Yasemin Gursoy OzdemirKoc University, Department of Neurology, Istanbul, Turkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Systemic inflammation, particularly involving leukocytes and neutrophils, plays a critical role in stroke pathophysiology and lesion evolution and may influence treatment safety and outcomes. This study aimed to evaluate the prognostic value of admission leukocyte and neutrophil counts in patients with acute ischemic stroke treated with intravenous thrombolysis and/or mechanical thrombectomy. Method: A total of 101 patients with ischemic stroke in the middle cerebral artery (MCA) territory who were treated with intravenous tissue plasminogen activator (IV tPA), mechanical thrombectomy (MT), or bridging therapy were analyzed. Demographic, clinical, laboratory, and neuroimaging data were collected. Infarct and hemorrhage volumes were calculated using the ABC/2 method. Clinical outcomes were assessed using National Institutes of Health Stroke Scale (NIHSS) scores and the modified Rankin Scale (mRS). Associations between inflammatory markers, radiological findings, hemorrhagic transformation, and functional outcomes were analyzed. Results: Higher admission leukocyte and neutrophil counts were significantly associated with large artery atherosclerosis and were observed in patients undergoing mechanical thrombectomy or bridging therapy. Elevated leukocyte and neutrophil levels were associated with larger infarct volumes, an increased risk of intracranial hemorrhage, and poorer functional outcomes. Patients with unfavorable outcomes and those who died within 90 days had significantly higher leukocyte and neutrophil counts. Higher glycated hemoglobin (HbA1c) and C-reactive protein (CRP) levels and lower high-density lipoprotein (HDL) levels were associated with hemorrhagic transformation and poor prognosis. Successful recanalization was associated with smaller infarct volumes and better functional outcomes. Conclusion: Admission leukocyte and neutrophil counts are associated with stroke etiology, hemorrhagic complications, and functional outcomes following reperfusion therapy. These readily available inflammatory biomarkers may serve as useful prognostic indicators in the management of acute ischemic stroke.

Indexed as

Acute ischemic strokeintravenous thrombolysisleukocytemechanical thrombectomyneutrophil

Identifiers

PMID42799501
PMCPMC13614236

What OpenQuestion holds

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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.