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Record W4293113143 · doi:10.7860/jcdr/2022/51079.16766

Efficacy of Open versus Closed Kinetic Chain Exercises on Dynamic Balance and Health Status in Individuals with Osteoarthritis of Knee Joint: A Quasi-experimental Study

2022· article· en· W4293113143 on OpenAlexaboutno aff
Roopa Desai, Ashwini Ravindranath Damsam, Tushar Jaikrishna Palekar

Bibliographic record

VenueJOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH · 2022
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsOsteoarthritisWOMACMedicinePhysical therapyKnee JointBalance (ability)Dynamic balancePhysical medicine and rehabilitationSurgeryPathology

Abstract

fetched live from OpenAlex

Introduction: Osteoarthritis is an inflammatory disorder characterised by changes in the biomechanics, biochemistry and genetic background of joint cartilage and subchondral bone. When distal parts move freely throughout exercises in a weight-bearing position, the phrase open kinetic exercises is employed. Closed kinetic exercises are employed in a weight-bearing position when the body travels through a hard and quick distal phase. Aim: To compare the efficacy of Open Kinetic Chain (OKC) and Closed Kinetic Chain (CKC) exercises on dynamic balance and health status in individuals with osteoarthritis of knee joint. Materials and Method: A single-blinded experimental study was conducted from April 2020 to May 2021 at Dr D.Y. Patil college of Physiotherapy, Pimpri-Chinchwad area, Pune, Maharashtra, India. A sample of 30 subjects with unilateral osteoarthritis of knee joint, between the age of 40-60 years of both genders, were recruited. They were divided into open kinetic group (Group A) and closed kinetic group (Group B) using convenient sampling method. Y-balance and Western Ontario and McMaster Universities Index of Osteoarthritis (WOMAC) (Pune CRD version) were used as outcome measures-preintervention, post two weeks and post four weeks of intervention. Data normality was tested by Shapiro-wilk test. Significance was tested using paired t-test within the groups for WOMAC and Y-balance test. Unpaired t-test was used between the groups. Results: Among 30 subjects, 17 were males and 13 females. There was a significant improvement in dynamic balance (p-value=0.001) and WOMAC (p-value=0.001) in both the groups. In group A, preintervention mean values for WOMAC was 41.2±10.53, and post four weeks of intervention it was 34.53±10.12 (p-value=0.001). Preintervention mean for Y-balance test was 0.554±14.6 and after four weeks of intervention mean was 0.586±13.8 (p-value <0.001). In group B, preintervention mean for WOMAC was 40.87±8.33, and after four weeks of intervention, mean was 30.47±7.22 (p-value=0.001); while preintervention mean for Y-balance test was 0.583±7.8 and after four weeks of intervention, mean was 0.645±7.0 (p-value=0.001). Between groups, analysis showed p-value=0.051 for both groups post four weeks of intervention. Conclusion: The study concluded that CKC exercises are more effective than OKC exercises in improving dynamic balance and decrease in pain, stiffness, and improving physical function in knee osteoarthritis.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: Non-randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.145
GPT teacher head0.479
Teacher spread0.334 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
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".

Quick stats

Citations7
Published2022
Admission routes1
Has abstractyes

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