SynthesisBMC neurology2024
Red blood cell distribution width as a predictor of mortality and poor functional outcome after acute ischemic stroke: a meta-analysis and meta-regression.
Synthesis in BMC neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Hepatorenal and Full Blood Count Profiles of Stroke Survivors Compared With Controls: A Case-Control Study.FASEB bioAdvances · 2026Article
- Article
- Admission laboratory parameters for early risk stratification after aneurysmal subarachnoid hemorrhage: a machine learning analysis of real-world data.Brain & spine · 2026Article
- Association between admission hemoglobin-to-red blood cell distribution width ratio and stroke-associated pneumonia risk in acute ischemic stroke: effect modification by diabetes status.Frontiers in endocrinology · 2026Article
- Assessment of anemia recovery using peripheral blood smears by deep semi-supervised learning.Annals of hematology · 2025Article
- Clinical and imaging risk factors for early neurological deterioration and long-term neurological disability in patients with single subcortical small infarction.BMC neurology · 2025Article
- Relationship between the hemoglobin-to-red cell distribution width ratio and post-stroke cognitive impairment: a prospective study.Frontiers in aging neuroscience · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study aimed to review evidence on the ability of red cell distribution width (RDW) to predict mortality and poor functional outcomes after acute ischemic stroke (AIS).
methodsDatabases of PubMed, CENTRAL, Scopus, Embase, and Web of Science were searched online from inception to 25th Jul 2023 for all studies reporting the association between RDW and outcomes as adjusted ratios. A random-effects meta-analysis was done. Meta-regression was conducted using multiple moderators.
results15 studies with 14,968 patients were included. Meta-analysis found that RDW, both as a categorical variable (OR: 2.10 95% CI: 1.74, 2.55 I
conclusionRDW can be a useful, readily available, and cost-effective biomarker to rapidly stratify AIS patients at risk of poor outcomes. High RDW was consistently associated with an increased risk of mortality after AIS, however, its ability to predict poor functional outcomes needs to be verified by further studies.
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