Safety Analysis of Autologous Stem Cell Therapy in a Variety of Degenerative Diseases and Injuries Using the Stromal Vascular Fraction
Bibliographic record
Abstract
BACKGROUND: Stem cells from adipose tissue offer a novel therapy for patients with damaged tissue. Stromal vascular fraction (SVF) injected into patients may reduce inflammation, promote healing, and repair damaged/scarred tissue. SVF can be isolated from fat (adipose) tissue in an outpatient procedure. The SVF population includes mesenchymal stem cells (MSCs), pericytes, endothelial/progenitor cells, fibroblasts and growth factors where the adipocyte (fat cell) population has been removed. Here we describe the use of SVF in the clinic for degenerative diseases in orthopedics, neurological conditions and systemic conditions in 676 patients. METHODS: This study demonstrated the strong safety profile from a multi-center analysis of SVF injection in treating various diseases. Approximately 60 mL of fat tissue was removed from the abdomen or flanks using a local tumescent liposuction procedure. The fat was separated via centrifuge to isolate the SVF and the cells were delivered intraarticularly, intravenously, intrathecally, or intradiscally directly into the same patient. All subjects were monitored for adverse events. RESULTS: The procedure demonstrates exceptional patient safety, and the study underscores the safety of autologous stem cell therapy in general. Few adverse events were reported and were overwhelmingly of mild and transient nature, such as the expected soreness at the site of liposuction and occasional headache. CONCLUSION: The three deaths reported were most likely not related to the treatment but instead to the underlying disease. Our study demonstrates a strong safety profile with low complication rates.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".