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Effectiveness of Muscle Energy Technique, Strengthening, and Patellar Mobilization in the Physiotherapeutic Management of Patellofemoral Osteoarthritis

2025· article· en· W4414058930 on OpenAlexaboutno aff
Namrata Srivastava, Ajit Saharan, Shruti Mahajan, Kartik Chhonker

Bibliographic record

VenueJournal of Orthopaedic Case Reports · 2025
Typearticle
Languageen
FieldEngineering
TopicLower Extremity Biomechanics and Pathologies
Canadian institutionsnot available
Fundersnot available
KeywordsGeneralizability theoryOsteoarthritisPsychological interventionPatellofemoral pain syndromeJoint mobilizationMobilizationPatellofemoral jointMuscle weakness

Abstract

fetched live from OpenAlex

Introduction: Patellofemoral osteoarthritis (PFOA) is a prevalent degenerative joint disorder characterized by anterior knee pain, stiffness, reduced functional mobility, and impaired quality of life, particularly in older adults. Due to its multifactorial etiology-including muscle imbalance, altered patellar tracking, and joint degeneration-conservative physiotherapy approaches are often prioritized over surgical interventions. This study aimed to evaluate the clinical effectiveness of an integrated physiotherapeutic regimen comprising muscle energy technique (MET), targeted strengthening exercises, and patellar mobilization in the management of PFOA. These findings support the inclusion of multimodal manual therapy and targeted exercise interventions as first-line conservative management strategies for patellofemoral joint degeneration. However, due to the small sample size, further large-scale studies are warranted to enhance generalizability and confirm these results. Materials and Methods: A single-group pre- and post-interventional design was implemented involving 30 participants (aged 45-65 years) clinically and radiologically diagnosed with PFOA. The 6-week intervention protocol included MET applied to the quadriceps and hamstring muscle groups, progressive resistance strengthening exercises focusing primarily on the vastus medialis obliquus (VMO), and patellar mobilization techniques aimed at improving patellar tracking and joint mobility. Each participant received three supervised sessions per week. Outcome measures were assessed at baseline and post-intervention using the Visual Analog Scale (VAS) for pain intensity, the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) for pain, stiffness, and functional limitation, and the Kujala Anterior Knee Pain Scale for patellofemoral joint function. Results: Statistical analysis revealed significant improvements across all outcome parameters post-intervention. Mean VAS scores decreased from 6.9 ± 1.2 to 3.1 ± 1.0 (P< 0.001), indicating substantial pain relief. WOMAC scores showed a marked reduction from 58.6 ± 5.4 to 34.2 ± 4.9 (p<0.001), reflecting improved joint function and reduced stiffness. The Kujala Score improved significantly from 45.7 ± 6.1 to 71.8± 5.6 (P<0.001), denoting enhanced patellofemoral mechanics and functional mobility. Conclusion: The study demonstrates that a physiotherapy program integrating MET, quadriceps strengthening (with VMO emphasis), and patellar mobilization is effective in significantly reducing pain and improving functional outcomes in individuals with PFOA. These findings support the inclusion of multimodal manual therapy and targeted exercise interventions as first-line conservative management strategies for patellofemoral joint degeneration. However, due to the small sample size, further large-scale studies are warranted to enhance generalizability and confirm these results.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.783
Threshold uncertainty score0.285

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.231
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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