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Record W4404702405 · doi:10.7759/cureus.74382

Therapeutic Utility of Mulligan Traction Straight Leg Raise Stretch and Proprioceptive Exercises in Osteoarthritis Treatment

2024· article· en· W4404702405 on OpenAlexaboutno aff
Sonam Iqbal, Imran Ahmad Khan, Maliha Khalid Khan, Quratul Ain, Hifza Arif, Komal Ammar Bukhari, Rukhsana Bibi, Urwa Batool, M. Imran Shahzad, Tess Saad

Bibliographic record

VenueCureus · 2024
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePhysical therapyOsteoarthritisWOMACRandomized controlled trialAnklePhysical medicine and rehabilitationSurgery

Abstract

fetched live from OpenAlex

Background Given the increasing incidence and severity of knee osteoarthritis (OA), it is crucial to investigate and refine therapeutic approaches. Aim The objective of this study is to evaluate the effectiveness and potential synergistic effects of proprioceptive exercises combined with Mulligan traction straight leg raise (MT-SLR) in treating OA. This includes improving symptoms such as functional mobility, pain reduction, and relevant serological markers, highlighting the potential of this approach to enhance overall patient outcomes. Methods A pragmatic, community-based, parallel-group, double-blinded, randomized clinical trial was conducted from August 2023 to March 2024. A probability convenience sampling technique was used to calculate the sample size. A total of 130 pre-diagnosed OA patients were randomly assigned to three groups via the lottery method. Group A received proprioceptive exercises, group B received the MT-SLR, and group C received both proprioceptive exercises and MT-SLR. The Pain Catastrophizing Scale (PCS), Numerical Pain Rating Scale, Western Ontario and McMaster University Osteoarthritis Index (WOMAC), erythrocyte sedimentation rate (ESR), flexion, CRP, bone electrolytes in blood (calcium, magnesium, and phosphorus), and X-rays were used to quantify pain, stiffness, functional activities, biochemical parameters, and radiographic findings at baseline and after the 24th session. Data were analyzed using IBM SPSS Statistics for Windows, Version 23.0 (Released 2015; IBM Corp., Armonk, NY, USA), with a p-value of <0.05 considered statistically significant. Results Out of the 130 participants, 126 were analyzed at the 24th session, comprising 50 males and 76 females. After 24 sessions, Group C (combined therapy) exhibited the most significant improvements across all parameters (p = 0.000), including flexion range of motion, WOMAC Pain, activities of daily living, stiffness, and PCS, outperforming both Group A (p = 0.011) and Group B (p = 0.005). Group C also demonstrated the greatest reductions in ESR (p < 0.001), CRP (p < 0.001), and IL-6 (p < 0.001), along with the highest improvements in calcium, magnesium, and phosphorus levels (p < 0.005). X-ray assessments revealed that Group C had the most notable joint space recovery, while Group B showed no changes. Conclusions In the treatment of knee OA, proprioceptive exercises have been found to be more effective than the MT-SLR stretch. Given the rising prevalence and severity of knee OA, this study emphasizes the need to explore and refine treatment strategies. The findings indicate that combining MT-SLR with proprioceptive exercises yields superior results compared to either intervention alone. The group receiving the combined therapy showed the most significant improvements across several key measures, including functional mobility, pain reduction, and relevant serological markers, highlighting the potential of this approach to enhance overall patient outcomes. The notable differences in performance between the treatment groups suggest that a more comprehensive, integrative approach to knee OA could lead to better management outcomes.

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.025
GPT teacher head0.294
Teacher spread0.268 · 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 designObservational
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
Published2024
Admission routes1
Has abstractyes

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