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The effects of various physical modalities on pain in patients with knee osteoarthritis: A network meta-analysis
⁎Corresponding author: Zhongliang Deng. zhongliang_deng@yeah.net
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Received: ,
Accepted: ,
This article was originally published by Reed Elsevier India Pvt. Ltd. and was migrated to Scientific Scholar after the change of Publisher.
Abstract
Abstract
This study aims to evaluate the effectiveness of various physical therapy methods in reducing pain for patients with knee osteoarthritis (KOA) through a network meta-analysis.
We conducted a comprehensive search across multiple databases, including PubMed, Embase, Cochrane Library, VIP, WanFang Data, and CNKI, to identify randomized controlled trials (RCTs) on physical therapies for KOA. The search spanned from the inception of each database to October 2024. The methodological quality of the studies was assessed using the Cochrane Handbook. Pain was measured using tools such as the visual analog scale, numeric pain rating scale, and the Western Ontario and McMaster University Osteoarthritis Index. All pain scores were standardized to a 10-point scale. Data collection and analysis were performed independently by two researchers using Stata 15.0 software.
The analysis included 64 studies with 3855 patients and 12 physical therapy modalities. Based on the surface under the cumulative ranking curve (SUCRA), the most effective treatments were HILT, ESWT, Hydrotherapy, Land-EX, LLLT, Braces, tDCS, US, IFCs, SWD, Insoles, and TENS.
HILT appears to be the most effective treatment for pain relief in KOA patients. Further large-scale RCTs are needed to confirm these findings.
Keywords
Osteoarthritis
Knee
Physical therapy
Systematic review
Pain
1 Materials and methods
1.1 Literature search
We conducted a comprehensive search across multiple databases, including Wanfang, CNKI, Vip, PubMed, Google Scholar, Embase, Cochrane Library, and Scopus, to identify randomized controlled trials (RCTs) examining various physical therapies for pain management in KOA patients. The search period spanned from the inception of each database to September 2024. Our search strategy incorporated a mix of subject headings and free-text terms, such as “knee,” “osteoarthritis,” “low-level laser therapy,” “high-intensity laser therapy,” “transcutaneous electrical nerve stimulation,” “shortwave diathermy,” “interferential current,” “exercise,” “ultrasound,” “transcranial direct current stimulation,” “hydrotherapy,” “extracorporeal shockwave therapy,” “brace,” and “insole.” Additionally, we manually examined the reference lists of relevant articles that met our inclusion criteria.
1.2 Eligibility criteria
Inclusion in this network meta-analysis was restricted to studies that met all the following criteria: (1) Randomized controlled trials (RCTs) evaluating physical therapy interventions for knee osteoarthritis; (2) Patients diagnosed with knee osteoarthritis via imaging or clinical criteria, irrespective of nationality, age, disease duration, or sex; (3) Interventions involving standalone physical therapy modalities (e.g., laser therapy, exercise, ultrasound); (4) Outcome measures including pain scores (Visual Analog Scale [VAS], Numeric Pain Rating Scale [NPRS], Western Ontario and McMaster Universities Osteoarthritis Index [WOMAC]) collected post-intervention with ≥2 weeks follow-up. Exclusion criteria comprised studies that (1) Involved joint cavity perfusion (e.g., hyaluronic acid injections), oral pharmacological agents (e.g., NSAIDs), surgical procedures (e.g., arthroplasty), or combination therapies (e.g., physical therapy + oral drugs); (2) Represented duplicate publications (i.e., overlapping datasets from the same research group) (3) Lacked critical data (e.g., baseline characteristics, post-intervention pain scores); without author clarification within two weeks; (4) Primarily evaluated non-physical therapy interventions.
1.3 Data extraction
Initially, two researchers screened the studies; any differences were settled by discussion; and a third independent researcher came to an agreement. In cases where key data were missing, efforts were made to obtain the necessary information from the corresponding author of the original study via email; however, literature for which data could not be extracted was subsequently excluded. Data collection was conducted by two researchers and subsequently cross-checked and summarized. The collected data encompassed: basic information, which included the following:basic duration and follow-up time; interventions that included different kinds of physical therapy; and outcome measures for patients with knee osteoarthritis that included the VAS pain score, WOMAC score, and NPRS pain score. All assessment criteria are scored on a 0-point Likert scale, with 0 denoting no pain and 10 denoting the most severe pain,in order to standardize the results.
1.4 Bias risk assessment
The potential for bias in the randomized controlled trials was evaluated using the Cochrane risk assessment tool, which examines factors like the generation of random sequences, the concealment of allocation, blinding of researchers and participants, outcome assessment, data integrity, reporting consistency, and other possible sources of bias.
1.5 Statistics
For this study, network meta-analysis was conducted via Stata 15.0 software.8,9 The credibility of Stata software and network meta-analysis tools is crucial for performing network meta-analyses. The inconsistency of various physiotherapy treatments was evaluated via the inconsistency factor (IF), with a 95 % CI value of 0 indicating a good inconsistency factor in each study. Moreover, the Surface Under the Cumulative Ranking (SUCRA) was utilized to evaluate and contrast the efficacy of various physical treatments for pain management in individuals with knee osteoarthritis. The results were structured based on the prior assessment. The significance level for the analysis was established at α = 0.05.
2 Results
2.1 Study characteristics and quality assessment
A total of 2744 articles were initially identified. After removing 454 duplicates and reviewing titles and abstracts, an additional 2290 studies were excluded. Following a full-text review of the remaining 652 papers, 64 studies were ultimately included[10–72. These studies encompassed 12 different physical therapy approaches and involved a total of 3855 patients. Fig. 1 illustrates the flowchart of the study selection process, while Table 1 provides a summary of the included studies. In Fig. 2, the straight lines in the evidence network depict direct comparisons between two related interventions, whereas unrelated interventions were compared indirectly through network meta-analysis. The methodological quality of the 64 RCTs was assessed using the Cochrane guidelines, as shown in Fig. 3.

| Study | Year | Country | Design | Age | Sample | Intervention | Follow-up(month) | Assessmentcriteria | |||
| Arm 1 | Arm 2 | Arm 1 | Arm 2 | Arm 1 | Arm 2 | ||||||
| Ekici | 2023 | Turkey | RCT | 61.1 ± 7.0 | 57.9 ± 7.0 | 30 | 30 | HILT | Sham | 3 | VAS; WOMAC |
| Ahmad | 2023 | Malaysia | RCT | 57.9 ± 10.6 | 51.2 ± 9.8 | 17 | 17 | LLLT | HILT | 3 | NPRS |
| Martorella | 2022 | USA | RCT | 65.3 ± 8.4 | 66.0 ± 8.4 | 60 | 60 | tDCS | Sham | 3 | NPRS |
| Reichenbach | 2022 | Switzerland | RCT | 64.8 ± 9.9 | 66.3 ± 10.3 | 108 | 112 | TENS | Sham | 3.75 | VAS; WOMAC |
| Soheir | 2022 | Egypt | RCT | 55.4 ± 6.3 | 55.2 ± 4.8 | 20 | 20 | HILT | US | 0.5 | VAS |
| Mostafa | 2022 | Egypt | RCT | 46.6 ± 8.7 | 40.1 ± 9.4 | 20 | 20 | HILT | ESWT | 1 | VAS |
| Azizi | 2021 | Iran | RCT | 61.3 ± 13.5 | 56.4 ± 11.7 | 27 | 27 | tDCS | Sham | 3 | VAS |
| Tavares | 2021 | Brazil | RCT | 74.8 ± 7.4 | 73.1 ± 8.5 | 51 | 53 | tDCS | Sham | 3 | VAS |
| Khruakhorn | 2021 | Thailand | RCT | 64.9 ± 7.4 | 57.9 ± 7.8 | 17 | 17 | Hydrotherapy | Land-EX | 4.5 | WOMAC |
| Sajadi | 2020 | Iran | RCT | 56.9 ± 5.8 | 59.3 ± 6.1 | 20 | 20 | TENS | tDCS | 3 | VAS |
| Pietrosimone | 2020 | USA | RCT | 60.8 ± 7.3 | 62.5 ± 7.7 | 18 | 19 | TENS | Sham | 1 | WOMAC |
| Karakas | 2020 | Turkey | RCT | 59.1 ± 7.5 | 60.8 ± 7.5 | 39 | 36 | US | Sham | 3 | VAS; WOMAC |
| Lizis | 2020 | Poland | RCT | 61.0 ± 7.8 | 59.0 ± 9.0 | 30 | 30 | ESWT | Land-EX | 1.25 | VAS; WOMAC |
| Mahler | 2019 | Holland | RCT | 62.0 ± 9.0 | 68.0 ± 8.8 | 27 | 28 | LLLT | Sham | 3 | WOMAC |
| Maria | 2019 | Brazil | RCT | 63.9 ± 7.1 | 64.1 ± 9.8 | 15 | 15 | tDCS | Sham | 3 | VAS |
| Zhong | 2019 | China | RCT | 62.5 ± 8.2 | 63.2 ± 7.7 | 32 | 31 | ESWT | Sham | 3 | VAS; WOMAC |
| Roberta | 2019 | Brazil | RCT | 58.2 ± 8.0 | 58.6 ± 7.4 | 15 | 15 | LLLT | Land-EX | 2 | VAS; WOMAC |
| Nazari | 2019 | Iran | RCT | 61.5 ± 3.9 | 62.2 ± 3.9 | 30 | 30 | HILT | Land-EX | 3 | VAS; WOMAC |
| Thoumie | 2018 | France | RCT | 64.8 ± 11.7 | 66.6 ± 7.2 | 32 | 35 | Braces | Sham | 1.5 | VAS |
| Nazari | 2018 | Iran | RCT | 61.5 ± 3.5 | 62.2 ± 3.87 | 30 | 30 | HILT | Land-EX | 3 | VAS; WOMAC |
| Lizis | 2018 | Poland | RCT | 59.8 ± 3.9 | 60.7 ± 4.8 | 30 | 30 | ESWT | US | 1.25 | VAS; WOMAC |
| Patrícia | 2018 | Brazil | RCT | / | / | 20 | 20 | LLLT | Sham | 6 | VAS; WOMAC |
| Chang | 2017 | Australia | RCT | 59.8 ± 9.1 | 64.1 ± 1.1 | 15 | 15 | tDCS | Sham | 2 | VAS |
| Tugba | 2017 | Turkey | RCT | / | / | 30 | 30 | US | Sham | 1 | VAS; WOMAC |
| Dias | 2017 | Brazil | RCT | 70.8 ± 5.0 | 71.0 ± 5.2 | 37 | 36 | Hydrotherapy | Sham | 3 | VAS |
| Nambi | 2016 | Saudi Arabia | RCT | 58.0 ± 6.0 | 60.0 ± 8.0 | 17 | 17 | LLLT | Sham | 2 | VAS |
| Lewinson | 2016 | Canada | RCT | 59.9 ± 7.4 | 59.6 ± 7.7 | 9 | 19 | Insoles | Sham | 3 | VAS |
| Cherian | 2016 | USA | RCT | 6 | 58 | 33 | 37 | TENS | Sham | 3 | VAS |
| Jia | 2016 | China | RCT | 63.4 ± 9.7 | 61.3 ± 10.3 | 53 | 53 | US | Sham | 3 | VAS |
| Anna | 2016 | Bulgaria | RCT | 65.1 ± 1.4 | 64.7 ± 2.0 | 37 | 35 | HILT | Sham | 3 | VAS |
| Shirley | 2015 | Australia | RCT | 67.7 ± 9.2 | 67 ± 10.6 | 86 | 68 | Braces | Sham | 3 | VAS |
| Grace | 2015 | USA | RCT | 57.7 ± 11.8 | 57.0 ± 10.9 | 25 | 25 | TENS | Sham | 2 | VAS |
| Callaghan | 2015 | England | RCT | 54.5 ± 6.7 | 56.4 ± 8.1 | 63 | 63 | Braces | Sham | 1.5 | VAS |
| Yildiz | 2015 | Turkey | RCT | 54.6 ± 6.5 | 57.8 ± 7.2 | 30 | 30 | US | Sham | 2 | VAS |
| Kheshie | 2014 | Saudi Arabia | RCT | 52.1 ± 6.4 | 56.6 ± 7.9 | 17 | 17 | HILT | LLLT | 1.5 | VAS; WOMAC |
| Fukuda | 2011 | Brazil | RCT | 62.0 ± 8.0 | 57.0 ± 9.0 | 30 | 21 | SWD | Sham | 3 | VAS |
| Anwer | 2014 | Saudi Arabia | RCT | 54.9 | 56 | 21 | 21 | Land-EX | Sham | 1.25 | VAS; WOMAC |
| Rashoud | 2014 | England | RCT | 52.0 ± 9.0 | 56.0 ± 11.0 | 26 | 23 | LLLT | Sham | 6 | VAS |
| Cakir | 2014 | Turkey | RCT | 58.2 ± 9.9 | 57.1 ± 7.8 | 20 | 20 | US | Sham | 6 | VAS; WOMAC |
| Palmer | 2013 | England | RCT | 61.2 ± 11.4 | 60.9 ± 10.8 | 73 | 74 | TENS | Sham | 6 | WOMAC |
| Jones | 2013 | England | RCT | 66.3 ± 8.2 | / | 28 | 28 | Braces | Insoles | 0.5 | VAS; WOMAC |
| Alghadir | 2013 | Saudi Arabia | RCT | 55.2 ± 8.1 | 57.0 ± 7.8 | 20 | 20 | LLLT | Sham | 1 | VAS; WOMAC |
| Mascarin | 2012 | Brazil | RCT | 64.8 ± 7.0 | 62.8 ± 7.6 | 12 | 12 | TENS | US | 3 | VAS; WOMAC |
| Funda | 2012 | Turkey | RCT | 61.9 ± 6.9 | 62.0 ± 7.9 | 37 | 31 | TENS | IFC | 3 | VAS; WOMAC |
| Bruce-Brand | 2012 | Ireland | RCT | 63.4 ± 5.9 | 65.2 ± 3.1 | 10 | 6 | Land-EX | Sham | 1.5 | WOMAC |
| Adalberto | 2012 | Canada | RCT | 62.6 ± 9.5 | 61.2 ± 11.5 | 13 | 13 | US | Sham | 2 | WOMAC |
| Stephen | 2011 | Columbia | RCT | 66.9 ± 4.9 | 65.9 ± 8.3 | 12 | 10 | Land-EX | Sham | 3 | WOMAC |
| Müller-Rath | 2011 | Germany | RCT | 49.8 | 57.4 | 13 | 10 | Braces | Sham | 1 | VAS; WOMAC |
| Foroughi | 2011 | Australia | RCT | 65 | 66 | 28 | 26 | Land-EX | Sham | 6 | WOMAC |
| Bennell | 2011 | Australia | RCT | 63.3 ± 8.1 | 65 ± 7.9 | 103 | 97 | Insoles | Sham | 12 | VAS; WOMAC |
| Fukuda | 2010 | Brazil | RCT | 63.0 ± 9.0 | 63.0 ± 8.0 | 25 | 22 | LLLT | Sham | 6 | VNPS |
| Van Raaij | 2010 | Holland | RCT | 54.9 ± 7.4 | 54.4 ± 7.0 | 46 | 45 | Braces | Insoles | 1.5 | VAS |
| Salli | 2010 | Turkey | RCT | 55.7 ± 8.2 | 57.1 ± 6.8 | 23 | 24 | Land-EX | Sham | 5 | VAS; WOMAC |
| Akyol | 2010 | Turkey | RCT | 57.8 ± 10.7 | 56.6 ± 8.1 | 20 | 20 | SWD | Sham | 1 | VAS; WOMAC |
| Lim | 2009 | China | RCT | 63.7 ± 8.2 | 61.6 ± 7.2 | 36 | 36 | Land-EX | Sham | 2 | WOMAC |
| Barrios | 2009 | USA | RCT | 62.0 ± 7.4 | 62.8 ± 9.6 | 35 | 31 | Insoles | Sham | 12 | VAS; WOMAC |
| Priscilla | 2008 | Brazil | RCT | 61.6 ± 11.4 | 61.9 ± 11.3 | 16 | 14 | Insoles | Sham | 8 | VAS; WOMAC |
| Itoh | 2008 | Japan | RCT | 62–83 | 62–83 | 6 | 6 | TENS | Sham | 2.5 | VAS; WOMAC |
| Silva | 2008 | Brazil | RCT | 59.0 ± 7.6 | 59.0 ± 6.1 | 32 | 32 | Hydrotherapy | Land-EX | 4.5 | VAS |
| Yurtkuran | 2007 | Turkey | RCT | 51.8 ± 6.8 | 53.5 ± 7.1 | 28 | 27 | LLLT | Sham | 3 | VAS; WOMAC |
| Laufer | 2005 | Israel | RCT | 72.7 + 6.4 | 74.8 + 6.6 | 32 | 38 | SWD | Sham | 3 | WOMAC |
| Tascioglu | 2004 | Turkey | RCT | 62.9 ± 7.3 | 64.3 ± 10.5 | 20 | 20 | LLLT | Sham | 6 | WOMAC |
| Ali Gur | 2003 | Turkey | RCT | 59.8 ± 8.0 | 60.5 ± 6.9 | 30 | 30 | LLLT | Sham | 3 | VAS; WOMAC |
| Henrik | 1998 | Denmark | RCT | 69.3 ± 8.2 | 73.0 ± 6.5 | 11 | 12 | Land-EX | Sham | 3 | VAS |


2.2 Inconsistency test
A total of 20 closed loops are involved in this study; that is, direct and indirect comparisons exist simultaneously. The consistency test results show that the IF ranges from 0 to 2.07. The 95 % CI lower limit of all the closed rings was 0, except for the two closed rings A and B, indicating good consistency between the results of the overall comparison and indirect comparison in this study, as shown in Fig. 4. Furthermore, all P values exceeded 0.05, demonstrating that the results of both direct and indirect comparisons across the different treatment methods were consistent.

2.3 Meta-analysis results
The results of the network meta-analysis (NMA) are presented in Fig. 5. The effectiveness of the different treatment methods was ranked based on the SUCRA values. A higher SUCRA value reflects a better outcome score for the therapy, indicating greater treatment efficacy. According to the SUCRA rankings, the results revealed the following order of effectiveness: HILT > ESWT > hydrotherapy > land-EX > LLLT > braces > tDCS > US > IFCs > SWD > insoles > TENS (Fig. 6).


2.4 Publication bias
The funnel plot, generated using Stata 15.0 software, employs distinct colors to denote various surgical methods, with the number of data points corresponding to the number of trials. The outcome measures were symmetrically distributed along the vertical axis (X = 0), suggesting a low probability of publication bias and minimal small-sample effects (Fig. 7).

3 Discussion
KOA leads to discomfort and restricted mobility, and if it progresses, patients often enter a cycle of pain, inactivity, and weakness. A range of physical interventions are employed to alleviate discomfort and enhance functionality. This study represents the inaugural network meta-analysis examining twelve distinct physiotherapy approaches for KOA. The objective was to assess the efficacy of these therapeutic techniques.
Currently, there are no disease-modifying interventions specifically designed for KOA.73 As a result, conservative approaches, including pharmacological treatments and rehabilitation exercises, are frequently combined with electrophysical agents to enhance therapeutic outcomes.74 Among these agents are low-level laser therapy (LLLT), high-intensity laser therapy (HILT),75 therapeutic ultrasound, and transcutaneous electrical nerve stimulation (TENS).76 In recent years, photobiomodulation therapy, particularly LLLT and HILT, has gained prominence as a highly promising approach. Both methods have demonstrated the ability to alleviate pain and inflammation, promote tissue repair, enhance blood circulation, and improve physical function and overall performance.77 This study revealed that HILT was superior to LLLT in reducing pain. Some scholars believe that HILT can rapidly reach peak amplitude and reduce heat accumulation during pulse intervals, thereby minimizing thermal damage and achieving effective tissue penetration with low risk.78
Physical exercise is strongly recommended for individuals with KOA,79,80 as it has been shown to reduce knee inflammation, albeit less effectively than NSAIDs and LLLT.81,82 According to a rigorous methodological analysis by Bartholdy et al., strength training, as outlined by the American College of Sports Medicine (ACSM), proves more effective than other forms of exercise in improving leg extension strength for KOA patients.83 The ACSM guidelines suggest engaging in strength training at least twice weekly, with each session comprising 2–4 sets of 8–12 repetitions.84 Steinhilber et al. demonstrated that after 8 weeks of equal quadriceps exercise, muscle strength was significantly reduced, and knee pain was notably improved, indicating good safety and feasibility.85 The study categorizes exercise therapy into land exercises and hydrotherapy, encompassing various forms of physical activity. Land exercises involve a range of concentric and eccentric movements performed in daily life, such as ascending and descending stairs, rising from a seated position, and sitting down. Additionally, they include simple isometric contractions of lower limb muscles and straight leg elevation exercises. Conversely, hydrotherapy refers to a systematic exercise regimen conducted in water. A systematic review by Anne-Kathrin indicated that a standardized exercise regimen can effectively alleviate pain and enhance knee function in patients with KOA inflammation.58 In recent years, hydrotherapy has gained popularity as a treatment for knee osteoarthritis (OA) due to its distinctive properties, such as turbulence, viscosity, hydrostatic pressure, and buoyancy. These characteristics provide body support, decrease joint compression forces, and alleviate pain during exercise.86
The International Osteoarthritis Society (OARSI), a globally influential professional organization in the field of KOA research, has recently published a series of clinical practice guidelines for the diagnosis and treatment of KOA.87 The 2019 update to these rules stressed the strong suggestion for land-based exercise, weight management and strength training. For individuals with knee osteoarthritis and no additional health issues, recommended non-pharmacological include Aquatic exercise, gait aids, cognitive behavioral therapy that incorporates physical activity, and self-management initiatives.88 The gait aids utilized in this study were knee braces and insoles, as recommended by the Guidelines. Notably, land exercise, hydrotherapy and braces demonstrated relatively high efficacy in pain relief for patients with KOA in this study. Conversely, ultrasound therapy was discouraged, whereas TENS was strongly opposed according to the guidelines. These two therapies also ranked low in terms of pain relief effectiveness for KOA patients in this study. The overall findings of this study align with the recommendations outlined in the OARSI Guidelines and encompass a broader range of physical therapy interventions for pain management in patients with KOA. The results of the study offer important information about the future development of pertinent clinical research.
A notable limitation of this review is the substantial heterogeneity observed in the results of the assessed variables. Although the factors contributing to this high heterogeneity or inconsistency could not be determined, they may have arisen from significant variability in demographic and clinical characteristics among the samples. The age range was wide (49–74 years), and the patients included had symptom durations ranging from one month to one year. Differences in outcome measurement methods might also lead to greater heterogeneity. Considering that knee osteoarthritis patients exhibit considerable individualization, their overall physical condition and various comorbidities potentially influence their perception of pain efficacy.
In summary, all 12 physical modalities reduced the pain associated with KOA of the knee, with HILT being the most effective. However, to fully assess their influence on quality of life, functional results, and patient contentment when used in conjunction with other treatments, as well as their potential to reduce the necessity for total knee replacement, additional long-term follow-up research is essential.
Patient consent for publication
Not applicable.
Availability of data and materials
The figures and/or tables of this paper contain the data produced in the current study.
Authors' contributions
XZ and ZD composed the manuscript and created the visual aids. YY and LC participated in data collection and analysis. JG and YY finalized the manuscript's revision. LC and XZ confirmed the accuracy of the initial data. All authors examined and approved the final draft.
Data availability
Data is availability through request to corresponding author.
Ethics approval and consent to participate
Not applicable.
Clinical trial number
Not applicable.
Funding
This study was supported by the Chongqing Natural Science Foundation, China (Chongqing Science and Technology Bureau project) (Grant No. cstc2021jcyj-msxmX0904), and the Project Supported by Scientific and Technological Research Program of Chongqing Municipal Education Commission (Grant Nos. KJQN202300106 and KJQN202400109).
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