Platelet-Rich plasma injections treatment in patients having early osteoarthritis of knee joint.
Bibliographic record
Abstract
Objective: To find out the outcome following intra-articular platelet-rich plasma (PRP) injection in patients having early OA of knee. Study Design: Prospective Study. Setting: Tahira Jamshed Medical Complex, Bahawalpur. Period: January 2019 to February 2020. Material & Methods: A total of 112 cases of both gender, aged 40 to 60 years, Grade I and Grade II OA, having symptoms of OA for a minimum duration of 1 year, were enrolled. All participants were assessed for physical activity and pain linked with arthritis as per “Western Ontario and McMaster University Arthritis Index (WOMAC) score”. Results: Out of a total 98 cases who completed the study, majority 58 (59.2%) were female, 67 (68.4%) had Kellgren-Lawrence Grade-I OA and 81 (82.7%) were experiencing OA symptoms with a duration of less than 2 years. The difference between mean WOMAC score before the treatment (80.38+6.3) and after PRP treatment (42.93+6.9) turned out to be statistically significant (p value < 0.001). After the treatment, cases having duration of symptoms of OA as less than 2 years had significantly less WOMAC score (p value = 0.0418). Conclusion: PRP treatment in patients having early OA seemed to be quite efficacious. The effects of PRP injections were more favorable in cases having clinical symptoms of OA for less than 2 years of duration.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".