SynthesisStem cell research & therapy2023
Therapeutic potential of stem cell extracellular vesicles for ischemic stroke in preclinical rodent models: a meta-analysis.
Synthesis in Stem cell research & therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses 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
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Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.
- Neural stem cell transplantation in rodent models of traumatic brain injury: a systematic review and meta-analysis.Frontiers in bioengineering and biotechnology · 2026Pooled it
- Microglial Responses to MSC-EVs Treatment in Animal and Cellular Models of Ischemic Stroke: a Systematic Review with Meta-analysis.Molecular neurobiology · 2025Pooled it
- SIRT1/AMPK/PGC1α pathway in ischemic stroke: Elucidating neuroprotective strategies (Review).Molecular medicine reports · 2026Review
- Neuroangiogenesis potential of mesenchymal stem cell extracellular vesicles in ischemic stroke conditions.Cell communication and signaling : CCS · 2025Review
- Exosome-based drug delivery systems for enhanced neurological therapeutics.Drug delivery and translational research · 2025Review
- Effect of Mechanical Environment Alterations in 3D Stem Cell Culture on the Therapeutic Potential of Extracellular Vesicles.Biomaterials research · 2025Article
- Umbrella review of mesenchymal stem cell-derived extracellular vesicles in preclinical models: therapeutic efficacy across diverse conditions.Frontiers in cell and developmental biology · 2025Review
- Effects of extracellular vesicles for ischemic stroke: A meta‑analysis of preclinical studies.Experimental and therapeutic medicine · 2024Article
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- Article
- Pathological and therapeutic effects of extracellular vesicles in neurological and neurodegenerative diseases.Neural regeneration research · 2024Review
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundExtracellular vesicles derived from stem cells (SC-EVs) have been proposed as a novel therapy for ischemic stroke. However, their effects remain incompletely understood. Therefore, we conducted this meta-analysis to systematically review the efficacy of SC-EVs on ischemic stroke in preclinical rodent models.
methodsUsing PubMed, EMBASE, and the Web of Science, we searched through studies published up to August 2021 that investigated the treatment effects of SC-EVs in a rodent ischemic stroke model. Infarct volume was the primary outcome. Neurological severity scores (mNSS) were the secondary outcome. The standard mean difference (SMD) and the confidence interval (CI) were calculated using a random-effects model. R and Stata 15.1 were used to conduct the meta-analysis.
resultsTwenty-one studies published from 2015 to 2021 met the inclusion criteria. We also found that SCs-EVs reduced infarct volume by an SMD of - 2.05 (95% CI - 2.70, - 1.40; P < 0.001). Meanwhile, our results revealed an overall positive effect of SCs-derived EVs on the mNSS with an SMD of - 1.42 (95% CI - 1.75, - 1.08; P < 0.001). Significant heterogeneity among studies was observed. Further stratified and sensitivity analyses did not identify the source of heterogeneity.
conclusionThe present meta-analysis confirmed that SC-EV therapy could improve neuron function and reduce infarct volume in a preclinical rodent ischemic stroke model, providing helpful clues for human clinical trials on SC-EVs.
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Registered trials
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.