A PROSPECTIVE STUDY TO EVALUATE EFFECTIVENESS OF KINESIO TAPING IN NON-TRAUMATIC CHRONIC KNEE PAIN
Bibliographic record
Abstract
Background: Kinesio tape has multiple benefits including decreasing pain, increasing proprioception, increasing quadriceps muscle strength, and improving lymphaticcirculation at the knee joint. To evaluate the effectiveness of kinesiotape innon traumatic chronic knee pain. Material and Methods: Aprospective study was done from august 2020 to January 2022 in nscb medical college jabalpur on 80 patients with patello femoral arthritis of knee joint and early grade medial joint line arthritis of knee joint(kellgenlawrencegrading) in which kinesio tape was applied over knee for 6 days by an orthopaedicsurgeonand followed up at end of 1st , 2nd , 3rd , 4th week and outcomes were measured using WOMAC(western Ontario and mcmaster university arthritis index) and Vas(visual analogue scale) scores. Results: VAS score(pre application:7.12, after 4 weeks:4.68)and WOMAC score( pre application:46.18, after 4 weeks:35.65)showed a statistically decrease in scores in cases of patellofemoral arthritis and early grade medial joint line arthritis of knee joint.(p value <0.001) Conclusion: Kinesio tape appears to beaneffective,easy and cheap method in early symptomaticpatello femoralosteoarthritis and early grade medial joint line arthritis of knee joint.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".