Efficacy of Amniotic Suspension Allografts in the Treatment of Knee Osteoarthritis: A Systematic Review
Bibliographic record
Abstract
Knee osteoarthritis significantly impacts mobility and quality of life. This condition is a leading cause of disability in aging populations, with total knee replacement commonly sought in advanced cases. Traditional nonoperative management strategies, including anti-inflammatories, corticosteroid injections, and hyaluronic acid, often provide limited relief, especially in severe cases. Recently, regenerative therapies such as amniotic suspension allografts (ASA) have emerged as promising alternatives due to their anti-inflammatory and regenerative properties, which may counteract the catabolic effects of osteoarthritis. This systematic review evaluated the efficacy and safety of ASA in reducing pain and improving function among knee osteoarthritis patients. Following the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines, a comprehensive search of PubMed and Embase databases initially identified 1,733 studies pertaining to ASA, of which 1,575 were screened, and 9 studies ultimately met the inclusion criteria for detailed analysis of ASA in the treatment of knee osteoarthritis. Data extraction and narrative synthesis focused on outcomes such as pain reduction and functional improvement using the Knee Injury and Osteoarthritis Outcome Score (KOOS) and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), as well as safety profiles. The results demonstrated notable improvements in pain scores following ASA treatment, as shown by studies reporting increases in KOOS pain scores over 6 months, which generally outperformed hyaluronic acid and saline treatments in pain reduction. Similarly, ASA treatment was associated with substantial improvements in physical function outcome scores, enhancing patients' ability to perform daily activities. Patient-reported outcomes also indicated higher quality of life and functional status, with most patients experiencing high levels of satisfaction. Additionally, ASA's safety profile was favorable, with adverse events primarily mild to moderate in nature, including a few transient events such as knee stiffness and myalgias. This systematic review highlights ASA as an effective therapeutic option for knee osteoarthritis, although further studies focusing on long-term radiographic outcomes and mechanisms of action are recommended to fully establish its benefits and optimize treatment protocols.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".