Therapeutic Utility of Mulligan Traction Straight Leg Raise Stretch and Proprioceptive Exercises in Osteoarthritis Treatment
Notice bibliographique
Résumé
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.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».