Outcome of staged injection of autologous platelet rich plasma in treatment of mild to moderate knee osteoarthritis
Bibliographic record
Abstract
<p class="abstract"><strong>Background:</strong> Autologous platelet-rich plasma (PRP) offers an easy solution for delivering multiple growth factors needed for tissue repair. Intra-articular injections of PRP have been proposed as a simple low cost minimally invasive way to obtain the concentration of growth factors and biologically active molecules to promote cartilage healing in osteoarthritic (OA) knee joint. The objective of the present study was designed to<em> </em>evaluate the clinical efficacy of autologous platelet rich plasma injection in mild to moderate osteoarthritic knee and to assess the role of serial staged autologous platelet rich plasma injection.</p><p class="abstract"><strong>Methods:</strong> 50 patients with mild to moderate osteoarthritis of knee were divided into two groups. Group A was given staged injection of freshly prepared autologous PRP in the affected knee. Group B was given single injection of PRP. The Results were evaluated on the basis of the Western Ontario and McMaster Universities Arthritis Index (WOMAC) questionnaire and visual analog scale (VAS) before treatment and 3 weeks, 8 weeks, 16 weeks and 24 weeks after treatment.<strong></strong></p><p class="abstract"><strong>Results:</strong> At 24-weeks follow up the following observations were made; the MeanVAS in Group A decreased to 3.30 whereas in Group B it increased to 4.54. The Mean WOMAC score in Group A was reduced to a mere28.64 in Group A and in Group B it was 39.76.</p><p class="abstract"><strong>Conclusions:</strong> It is concluded from our study that concomitant use of serial staged injection (two) of PRP over four months is more effective than single injection in patients with mild to moderate OA of knee.</p>
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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".