ReviewStem cell research & therapy2026
Safety profile of autologous adipose-derived stromal vascular fraction in clinical use: an exhaustive literature review.
Review in Stem cell research & therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Host immune determinants of stromal vascular fraction graft survival: Toward a concept of SVF therapy resistance - A systematic narrative review.Cell transplantationPooled it
- Article
- From elective protocols to emergency reality: rethinking adipose tissue harvesting for stromal vascular fraction applications.Stem cells translational medicine · 2026Review
- Cosmetic Principles and Contemporary Techniques: Achieving Aesthetic Outcomes in DIEP Flap Breast Reconstruction.Journal of clinical medicine · 2026Review
- Molecular pathways and immune microenvironment regulation in stem cell therapy for thin endometrium: a comprehensive narrative review.Frontiers in immunology · 2026Review
- Intramedullary mesenchymal stromal cell transplantation in humans: Procedural safety and oncological risk reassessment.Cell transplantationReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Adipose tissue-derived stromal vascular fraction (SVF) has rapidly emerged as a promising tool in regenerative medicine due to its accessibility, autologous origin, and potent reparative potential. However, despite encouraging preclinical outcomes, the clinical safety of SVF across organ systems remains insufficiently characterized. This comprehensive review synthesizes current evidence on the safety and tolerability of autologous SVF therapy in humans, organized by target organ systems including cardiovascular, pulmonary, hepatic, renal, musculoskeletal, cutaneous, neurological, and inflammatory applications. Across studies, SVF therapy appears technically feasible and generally well tolerated, with adverse events predominantly mild and procedure-related (e.g., transient pain, swelling, or local inflammation). Serious complications - including embolism, infection, fibrosis, or tumor formation - have not been reported to date in clinical settings. However, available studies suffer from major limitations: small and heterogeneous cohorts, non-randomized designs, variability in cell preparation and dosing, and short follow-up durations. The lack of standardized isolation protocols and absence of mechanistic endpoints further restrict interpretation. Overall, current data support the short-term safety of autologous SVF therapy, while underscoring the need for large-scale randomized controlled trials, harmonized methodologies, and long-term surveillance to fully establish its risk-benefit profile.
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.