ArticleFrontiers in neurology2022
Association of White Blood Cell Count With Clinical Outcome Independent of Treatment With Alteplase in Acute Ischemic Stroke.
Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01525290 (Efficacy and Safety of MRI-based Thrombolysis in Wake-up Stroke), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled 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.
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.
Efficacy and Safety of MRI-based Thrombolysis in Wake-up Stroke: a Randomised, Double-blind, Placebo-controlled Trial
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Impact of fever on the outcome non-anoxic acute brain injury patients: a systematic review and meta-analysis.Critical care (London, England) · 2024Pooled it
- Leukocytosis in acute stroke: A prospective study from an emergency department setting.Pakistan journal of medical sciences · 2026Article
- ANGWC Nomogram for Predicting Poor 3-month Outcome after Intravenous Thrombolysis in Young and Middle-Aged Patients with First-Ever Stroke.Thrombosis and haemostasis · 2026Article
- Leucocytosis and outcomes in older ICU patients after ischaemic stroke: a binational multicentre cohort study.BMJ neurology open · 2026Article
- Article
- Fluid excess on intensive care unit after mechanical thrombectomy after acute ischemic stroke is associated with unfavorable neurological and functional outcomes: An observational cohort study.European stroke journal · 2025Observational
- Machine learning is an effective method to predict the 3-month prognosis of patients with acute ischemic stroke.Frontiers in neurology · 2024Article
- Interpretable machine learning for prediction of clinical outcomes in acute ischemic stroke.Frontiers in neurology · 2023Article
- Prediction of long-term mortality in patients with ischemic stroke based on clinical characteristics on the first day of ICU admission: An easy-to-use nomogram.Frontiers in neurology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 13 institutions in 7 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Higher white blood cell (WBC) count is associated with poor functional outcome in acute ischemic stroke (AIS). However, little is known about whether the association is modified by treatment with intravenous alteplase. Methods: WAKE-UP was a randomized controlled trial of the efficacy and safety of magnetic resonance imaging [MRI]-based thrombolysis in unknown onset stroke. WBC count was measured on admission and again at 22-36 h after randomization to treatment (follow-up). Favorable outcome was defined by a score of 0 or 1 on the modified Rankin scale (mRS) 90 days after stroke. Further outcome were stroke volume and any hemorrhagic transformation (HT) that were assessed on follow-up CT or MRI. Multiple logistic regression analysis was used to assess the association between outcome and WBC count and treatment group. Results: Of 503 randomized patients, WBC count and baseline parameters were available in 437 patients (μ = 64.7 years, 35.2% women) on admission and 355 patients (μ = 65.1 years, 34.1% women) on follow-up. Median WBC count on admission was 7.6 × 10 Conclusion: Higher WBC count is associated with unfavorable outcome, an increased risk of HT, and larger stroke volume, independent of treatment with alteplase. Whether immunomodulatory manipulation of WBC count improves stroke outcome needs to be tested. Trial Registration: ClinicalTrials.gov Identifier: NCT01525290.
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