SynthesisFrontiers in neurology
Rate and key predictors of unplanned readmission following ischemic stroke: a systematic review and meta-analysis.
Synthesis in Frontiers in neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Machine learning-based prediction of prolonged length of stay in older patients with type 2 diabetes mellitus and cardiovascular disease.Frontiers in cardiovascular medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To systematically evaluate the rate and risk factors for unplanned readmission in patients with ischemic stroke (IS), providing an evidence-based foundation for developing targeted prevention strategies. Methods: We systematically searched PubMed, Web of Science, Embase, Cochrane Library, CNKI, Wanfang, Weipu Data and SinoMed databases for studies on the rate and risk factors of unplanned readmission in IS patients from their inception to July 30, 2025. Two researchers independently conducted literature screening, quality assessment, and data extraction. Meta-analysis was performed. Results: A total of 44 studies involving 1,274,267 patients were included. The pooled rate of 30-day readmission was 14.2% (95% CI 11-18%), increasing to 13.9% at 90 days and 30.3% at 12 months, with substantial heterogeneity across studies ( Conclusion: This meta-analysis clarifies and updates the rate and core risk factors for unplanned readmission in ischemic stroke patients. It provides an evidence-based foundation for systematically identifying high-risk patients, developing risk assessment tools, and implementing targeted interventions, holding significant value for guiding clinical practice. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD420251157352, identifier CRD420251157352.
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