Effectiveness of Core Strength Exercise in Patient with Primary Osteoarthritis of Knee
Bibliographic record
Abstract
BACKGROUND: Osteoarthritis (OA) is the most common degenerative, progressive musculoskeletal condition that can affect joints, but it mainly affects the hips and knees, which are predominant weight-bearing joints. Osteoarthritis is associated with significant pain, and it limits mobility, basic daily activities, and quality of life. Core stability exercise activities will help maintain good posture in motion and be the basis for all movements of the arms and legs. The core controls trunk position and pelvis-related movement, optimizing the production, transfer, and control of force and motion to the distal segments of the kinetic chain. OBJECTIVE: The study aims to find out the effectiveness of core strength exercise in patients with primary osteoarthritis of the knee. METHODOLOGY: It is a quasi-experimental study consisting of 43 knee osteoarthritis patients. They are divided into an exercise group and a control group, in which each group comprises of group A 22 and group B 21patients. The Core muscle strengthening exercises and IFT were given to the experimental group, and knee strengthening exercises and IFT for the control group. OUTCOME MEASURES: The Numeric pain rating scale is used for pain, and the WOMAC questionnaire for quality of life. RESULTS: The pre and post mean values of group A for NPRS is 6.68 and 4.95, and Western Ontario and McMaster Universities Arthritis Questionnaire is 57.04 and 46.09, The pre and post mean values of group B for NPRS were 6.95 and 2.85, and Western Ontario and McMaster Universities Arthritis Questionnaire were 56.15 and 45.20. CONCLUSION: The study concludes that there is a statistical improvement in NPRS, and no statistical significance is noted in the WOMAC questionnaire.
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 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) | 0.001 | 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) | 0.002 | 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".