Effect of biomechanical correction of tibia on medial joint space loading, varus deformity and functional tasks in patients with medial tibiofemoral joint osteoarthritis: a two-group pre-test, post-test randomized clinical trial study protocol
Bibliographic record
Abstract
BACKGROUND/OBJECTIVES: Knee osteoarthritis (KOA) is the most prevalent chronic disease of joints. There are various biomechanical factors which affect the alignment of the knee joints resulting in the varus or valgus deformities, which leads to unequal loading on the joints structures. The primary aim of the study is to determine the biomechanical corrections on tibia and varus deformity in Medial Tibiofemoral Knee Joint Osteoarthritis (MTKJOA). Secondary aim is to see the improvement in physical functions of the patients. METHODOLOGY/DESIGN: A Two Group Pretest-Posttest Equivalent Randomized Clinical Trial. Total ‘52’ patients will be included between the age of 35 to 80 years with medial tibiofemoral joint osteoarthritis. Subjects will be divided in the biomechanical correction group (Mobilization with movement in addition with conventional physiotherapy treatment). Conventional physiotherapy group which include electrotherapy and exercise therapy. For measuring the pain, the Numeric Pain Rating Scale (NPRS) will be taken, for range of motion goniometer will be taken, Western Ontario McMaster Universities Arthritis Index (WOMAC) will be taken for assessing the physical performance and TraumaCaD Software will be used to determine the alignment of the affected limb. In both the groups, conventional physiotherapy treatment will be given for 9 days. Total 9 sessions will be in given in three weeks and in each week 3 sessions will be given on alternative days. The outcome will be measured at baseline. TRIAL REGISTRATION: Clinical Trials Registry – India. (NCT04324931). UNIVERSAL TRIAL NUMBER: U1111-1249-3661. DISCUSSION: To our knowledge this study will be the first to correct the biomechanical axis of knee joints. After Biomechanical Correction, the weight bearing distribution will be adjusted and progression of deformity can be reduced which will help to improve the functional tasks and prevent to undergo early Total Knee Arthroplasty (TKA).
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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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.010 | 0.003 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.028 | 0.005 |
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".