Role of platelet-rich plasma in early osteoarthritis of knee joint: Experience from a tertiary care center in Pakistan
Bibliographic record
Abstract
PURPOSE: Osteoarthritis is the most common articular disease. The aim of this study was to observe the outcome after intra-articular platelet-rich plasma (PRP) injection in our patients presenting with knee osteoarthritis. METHODS: This study was conducted in Dow University of Health Sciences, Karachi, Pakistan, from December 2014 to December 2015. All patients between 35 years and 60 years of age diagnosed with grade I and II arthritis were included in the study. Three PRP injections were injected in the knees at 4-week interval. Patients were followed up in outpatient department (OPD) and were assessed for pain and physical activity associated with arthritis using the Western Ontario and McMaster University Arthritis Index (WOMAC) score at the time of induction in the study and at 6 months interval. RESULTS: Two hundred fourteen patients with the mean age of 55.15 (±6.93) years were studied. Female to male ratio was 3:1. One hundred fifty-five patients were classified as having Kellgren-Lawrence grade 1 osteoarthritis, while 59 were grade 2. One hundred eighty-nine patients had clinical symptoms for less than 2 years and 25 for more than 2 years. Mean WOMAC score before the start of treatment was 83.05, and after 6 months, it was reduced to 38.84 which was statistically significant ( p = 0.000). WOMAC score was improved more in the subgroup with patients having symptoms less than 2 years ( p = 0.005). Three patients developed minor hyperemia which was managed conservatively with activity limitation and ice application, but none of the patient developed gross infection. CONCLUSION: The sequential use of PRP injection for the treatment of early osteoarthritis proved to be effective in our study.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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".