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Record 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 on OpenAlexaboutno aff
Sezen Karabörklü Argut, Ayşenur Erekdağ, Derya Çelik, Ahmet Kaya

Bibliographic record

VenueAnnals of the Rheumatic Diseases · 2025
Typearticle
Languageen
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOsteoarthritisDiclofenacRandomized controlled trialPhysical therapyAlternative medicinePharmacologyInternal medicinePathology

Abstract

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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.

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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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0110.001

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 head0.011
GPT teacher head0.255
Teacher spread0.244 · 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 designRandomized 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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