MétaCan
Menu
Retour à la cohorte
Enregistrement W4411432573 · doi:10.1016/j.ard.2025.06.791

POS1445-HPR INVESTIGATION OF THE SYNERGISTIC BENEFITS OF COMBINING TOPICAL DICLOFENAC WITH STRUCTURED EXERCISE IN KNEE OSTEOARTHRITIS: A RANDOMIZED CONTROLLED TRIAL

2025· article· en· W4411432573 sur OpenAlexaboutno aff
Sezen Karabörklü Argut, Ayşenur Erekdağ, Derya Çelik, Ahmet Kaya

Notice bibliographique

RevueAnnals of the Rheumatic Diseases · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueInflammatory mediators and NSAID effects
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineOsteoarthritisDiclofenacRandomized controlled trialPhysical therapyAlternative medicinePharmacologyInternal medicinePathology

Résumé

récupéré en direct d'OpenAlex

Background: Knee osteoarthritis (OA) is a common degenerative joint condition associated with pain, stiffness, and functional impairment, significantly reducing quality of life and imposing a considerable burden on healthcare systems. Non-surgical management strategies typically involve multimodal approaches, including pharmacological agents and exercise interventions, aimed at symptom relief and functional improvement. Despite the established efficacy of these individual modalities, limited evidence exists regarding their combined use in knee OA management. Investigating the potential synergistic effects of integrating exercise with topical nonsteroidal anti-inflammatory drugs (NSAIDs) could provide valuable insights into optimizing conservative treatment strategies. Objectives: This study aims to address this gap by comparing the effectiveness of a structured exercise program alone versus its combination with topical diclofenac sodium gel in improving pain, functional outcomes, and quality of life in individuals with mild to moderate knee OA. Methods: This prospective, single-blinded, randomized controlled clinical trial enrolled 30 participants diagnosed with mild to moderate knee OA. Participants were randomly allocated into two groups: the Exercise group (Exerc) and the Topical Agent and Exercise group (T.a.&Exerc). The Exerc group undertook a structured and supervised exercise regimen for six weeks, consisting of 12 sessions (approximately 45 minutes each, performed twice a week). The T.a.&Exerc group applied 1.5% diclofenac sodium gel topically four times daily over six weeks, in addition to following the same exercise program. Primary outcomes included changes in average knee pain scores assessed using an 11-point numeric pain rating scale (NPRS), where higher scores indicate greater pain severity. Secondary outcomes included improvements in the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), performance durations for 40 m walk test and stair climbing test, and Short Form health-related quality of life score (SF-12). A two-way repeated-measures ANOVA (2×3 design) was performed to analyse for group and time interactions over a 12-week period. Results: Thirty patients (mean age: 55.35 ± 7.26 years) completed the study. Both groups showed significant improvements within groups over the 12-week study period (p < 0.05). Between-group comparisons indicated that the groups were similar for the improvements in NPRS scores (p = 0.48). Pain reduction from baseline to 12 weeks in the Exerc group (Δ -4.12, 95%CIs -4.85 to -3.88) was comparable to that of the T.a.&Exerc group (Δ -4.54, 95%CIs -4.96 to -4.06). Significant group-by-time interactions were observed for the WOMAC total score, the duration of functional performance tests, and the physical component of the SF-12 (p < 0.001), suggesting an additive effect of the topical agent. Conclusion: The findings of this study demonstrate that while a structured exercise program alone effectively alleviates pain, the addition of topical diclofenac sodium gel yields significant additive benefits, particularly in enhancing functional outcomes among individuals with mild to moderate knee osteoarthritis (OA). These results emphasize the potential of integrating exercise with topical agents to optimize non-surgical management strategies for knee OA, providing superior symptom relief and improvements in quality of life. Further investigations with larger sample sizes are necessary to confirm these findings and inform the development of refined, evidence-based treatment protocols. REFERENCES: [1] Moseng T, Vliet Vlieland TPM, Battista S, et al. EULAR recommendations for the non-pharmacological core management of hip and knee osteoarthritis: 2023 update Annals of the Rheumatic Diseases 2024;83:730-740. [2] Richard MJ, Driban JB, McAlindon TE. Pharmaceutical treatment of osteoarthritis. Osteoarthritis Cartilage. 2023 Apr;31(4):458-466. doi: 10.1016/j.joca.2022.11.005. Epub 2022 Nov 19. PMID: 36414224 [3] van Tunen JA, van der Leeden M, Bos WH, Cheung J, van der Esch M, Gerritsen M, et al. Optimization of Analgesics for Greater Exercise Therapy Participation Among Patients With Knee Osteoarthritis and Severe Pain: A Feasibility Study. Arthritis Care Res (Hoboken). 2016;68(3):332-40. Acknowledgements: NIL . Disclosure of Interests: None declared . © The Authors 2025. This abstract is an open access article published in Annals of Rheumatic Diseases under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Neither EULAR nor the publisher make any representation as to the accuracy of the content. The authors are solely responsible for the content in their abstract including accuracy of the facts, statements, results, conclusion, citing resources etc.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai randomisé · Signal consensuel: Essai randomisé
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil0,036

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,004
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0060,004
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,002
Science ouverte0,0010,001
Intégrité de la recherche0,0030,003
Charge utile insuffisante (le modèle a refusé de juger)0,0110,001

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.

Tête enseignante Opus0,011
Tête enseignante GPT0,255
Écart entre enseignants0,244 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeEssai randomisé
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueAnnals of the Rheumatic DiseasesMême sujetInflammatory mediators and NSAID effectsTravaux en français237 207