ReviewInternational journal of molecular sciences2019
Modern Concepts in Regenerative Therapy for Ischemic Stroke: From Stem Cells for Promoting Angiogenesis to 3D-Bioprinted Scaffolds Customized via Carotid Shear Stress Analysis.
Review in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05484713 (Feasibility of 3D Printed Models of Aortic Stenosis in Guiding TAVI Procedure -the 3DP-FAST Study), which is not on this map. Cited by 12 papers.
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.
Feasibility of 3D Printed Models of Aortic Stenosis in Guiding TAVI Procedure -the 3DP-FAST Study
Who cites it
12 citing papers in PubMed, 22 citations in OpenAlex.
- Glial Cell Reprogramming in Ischemic Stroke: A Review of Recent Advancements and Translational Challenges.Translational stroke research · 2025Review
- 4-methylumbilliferon (4-MU) as a Potential Treatment Against Cerebral ischemia and Reperfusion Injury in Rats; An Experimental Study.Archives of academic emergency medicine · 2025Article
- Application of emerging technologies in ischemic stroke: from clinical study to basic research.Frontiers in neurology · 2024Review
- Nanoparticle and Stem Cell Combination Therapy for the Management of Stroke.Current pharmaceutical design · 2023Article
- USP10 is a potential mediator for vagus nerve stimulation to alleviate neuroinflammation in ischaemic stroke by inhibiting NF-κB signalling pathway.Frontiers in immunology · 2023Article
- Emerging scaffold- and cellular-based strategies for brain tissue regeneration and imaging.In vitro models · 2022Review
- Microglia autophagy in ischemic stroke: A double-edged sword.Frontiers in immunology · 2022Review
- Article
- Circular RNA circPHC3 Promotes Cell Death and Apoptosis in Human BMECs After Oxygen Glucose Deprivation via miR-455-5p/TRAF3 Axis in vitro.Neuropsychiatric disease and treatment · 2021Article
- Review
- Monocyte Transmodulation: The Next Novel Therapeutic Approach in Overcoming Ischemic Stroke?Frontiers in neurology · 2020Review
- Transcription Factor E2F1 Aggravates Neurological Injury in Ischemic Stroke via microRNA-122-Targeted Sprouty2.Neuropsychiatric disease and treatment · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ischemic stroke is associated with a tremendous economic and societal burden, and only a few therapies are currently available for the treatment of this devastating disease. The main therapeutic approaches used nowadays for the treatment of ischemic brain injury aim to achieve reperfusion, neuroprotection and neurorecovery. Therapeutic angiogenesis also seems to represent a promising tool to improve the prognosis of cerebral ischemia. This review aims to present the modern concepts and the current status of regenerative therapy for ischemic stroke and discuss the main results of major clinical trials addressing the effectiveness of stem cell therapy for achieving neuroregeneration in ischemic stroke. At the same time, as a glimpse into the future, this article describes modern concepts for stroke prevention, such as the implantation of bioprinted scaffolds seeded with stem cells, whose 3D geometry is customized according to carotid shear stress.
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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.