ReviewiScience2024
Therapeutic application of adipose-derived stromal vascular fraction in myocardial infarction.
Review in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
11 citing papers in PubMed.
- Article
- Combined Stromal Vascular Fraction and HGF-Functionalized Self-Assembling Peptide Hydrogel Improves Intracerebral Hemorrhage Repair in Rats.Gels (Basel, Switzerland) · 2026Article
- Factors Influencing SVF Yields from Human Adipose Tissue: Isolation Technique, Age, and Sex.Journal of clinical medicine · 2026Article
- Integrated Fluidic Platform for Washing and Mechanical Processing of Lipoaspirate for Downstream Fat Grafting and Regenerative Applications.Bioengineering (Basel, Switzerland) · 2025Article
- Unraveling the complexities of diet induced obesity and glucolipid dysfunction in metabolic syndrome.Diabetology & metabolic syndrome · 2025Review
- Challenges in the clinical translation of stromal vascular fraction therapy in regenerative medicine.World journal of stem cells · 2025Review
- Adipose Tissue-Derived Adipokines in Vascular Physiology and Pathophysiology: Insights and Implications.Comprehensive Physiology · 2025Review
- Lipid-based nano-carriers for the delivery of anti-obesity natural compounds: advances in targeted delivery and precision therapeutics.Journal of nanobiotechnology · 2025Review
- Review
- An engineered adipose formulation decreases hepatic inflammation and fibrosis in a rodent model of metabolic dysfunction-associated steatotic liver disease.Frontiers in bioengineering and biotechnology · 2025Article
- Stromal vascular fraction in canine osteoarthritis: advantages, applications, and insights for veterinary practitioners.Frontiers in veterinary science · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The insufficiency of natural regeneration processes in higher organisms, including humans, underlies myocardial infarction (MI), which is one of the main causes of disability and mortality in the population of developed countries. The solution to this problem lies in the field of revealing the mechanisms of regeneration and creating on this basis new technologies for stimulating endogenous regenerative processes or replacing lost parts of tissues and organs with transplanted cells. Of great interest is the use of the so-called stromal vascular fraction (SVF), derived from autologous adipose tissue. It is known that the main functions of SVF are angiogenetic, antiapoptotic, antifibrotic, immune regulation, anti-inflammatory, and trophic. This study presents data on the possibility of using SVF, targeted regulation of its properties and reparative potential, as well as the results of research studies on its use for the restoration of damaged ischemic tissue after MI.
Indexed as
Identifiers
What OpenQuestion holds
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.