Exercise for lower limb osteoarthritis: systematic review incorporating trial sequential analysis and network meta-analysisBMJ 2013; 347 doi: https://doi.org/10.1136/bmj.f5555 (Published 20 September 2013) Cite this as: BMJ 2013;347:f5555
- Olalekan A Uthman, assistant professor in applied research, systematic reviewer12,
- Danielle A van der Windt, professor of primary care epidemiology1,
- Joanne L Jordan, research information manager1,
- Krysia S Dziedzic, Arthritis Research UK professor of musculoskeletal therapies1,
- Emma L Healey, research fellow1,
- George M Peat, professor of clinical epidemiology1,
- Nadine E Foster, NIHR professor of musculoskeletal health in primary care1
- 1Arthritis Research UK Primary Care Centre, Keele University, Keele, Staffordshire ST5 5BG, UK
- 2Warwick-Centre for Applied Health Research and Delivery (WCAHRD), Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry CV4 7AL UK
- Correspondence to: D van der Windt
- Accepted 16 August 2013
Objective To determine whether there is sufficient evidence to conclude that exercise interventions are more effective than no exercise control and to compare the effectiveness of different exercise interventions in relieving pain and improving function in patients with lower limb osteoarthritis.
Data sources Nine electronic databases searched from inception to March 2012.
Study selection Randomised controlled trials comparing exercise interventions with each other or with no exercise control for adults with knee or hip osteoarthritis.
Data extraction Two reviewers evaluated eligibility and methodological quality. Main outcomes extracted were pain intensity and limitation of function. Trial sequential analysis was used to investigate reliability and conclusiveness of available evidence for exercise interventions. Bayesian network meta-analysis was used to combine both direct (within trial) and indirect (between trial) evidence on treatment effectiveness.
Results 60 trials (44 knee, two hip, 14 mixed) covering 12 exercise interventions and with 8218 patients met inclusion criteria. Sequential analysis showed that as of 2002 sufficient evidence had been accrued to show significant benefit of exercise interventions over no exercise control. For pain relief, strengthening, flexibility plus strengthening, flexibility plus strengthening plus aerobic, aquatic strengthening, and aquatic strengthening plus flexibility, exercises were significantly more effective than no exercise control. A combined intervention of strengthening, flexibility, and aerobic exercise was also significantly more effective than no exercise control for improving limitation in function (standardised mean difference −0.63, 95% credible interval −1.16 to −0.10).
Conclusions As of 2002 sufficient evidence had accumulated to show significant benefit of exercise over no exercise in patients with osteoarthritis, and further trials are unlikely to overturn this result. An approach combining exercises to increase strength, flexibility, and aerobic capacity is likely to be most effective in the management of lower limb osteoarthritis. The evidence is largely from trials in patients with knee osteoarthritis.
Protocol registration PROSPERO (www.crd.york.ac.uk/prospero/) No CRD42012002267.
Osteoarthritis is the most common form of arthritis and one of the leading causes of pain and disability worldwide.1 The lifetime prevalence of symptomatic hip osteoarthritis is estimated at 25.3%,2 while that of knee osteoarthritis is even higher at 44.7%.3 The economic burden of osteoarthritis is substantial and consists of both direct costs (such as drugs, hospital care) and indirect costs (such as loss in productivity).4 5 Between 1999 and 2000 in the United Kingdom, about 36 million working days were lost because of osteoarthritis alone, leading to an estimated £3.2bn (€3.8bn, $5.1bn) in productivity losses, with the total cost to the UK economy being estimated at 1% of gross national product per year.1 In the United States, the estimated incremental cost of medical care expenditures and earnings losses for people with arthritis or other rheumatological conditions was $128 billion (£80.5bn, €95.8bn) in 2003.6 In Canada, time lost from employment and leisure by people with disabling hip or knee osteoarthritis and their unpaid caregivers has been estimated at $C12 200 (£7400, €8800, US$11 800) per person per year.7
The main goal of treatment for patients with osteoarthritis is to relieve the common symptoms of joint pain and improve everyday physical function.8 Current international guidelines recommend therapeutic exercise (land or water based) as “core”1 9 10 11 12 and effective management, given its beneficial effects,8 13 14 15 16 ease of application, few adverse effects, and relatively low costs. Regular exercise can reduce physical impairments and improve participation in social, domestic, occupational, and recreational activities.14 Additional benefits of exercise include improvements in mobility, risk of falls, body weight, mental health, and metabolic abnormalities.14 Recent guidance recommends both strengthening and aerobic exercise,1 but there are multiple other approaches to exercise such as stretching/flexibility, endurance training, aquatic exercise, and increasing general physical activity.
Several systematic reviews, including meta-analyses, have examined the effectiveness of exercise interventions for osteoarthritis.8 13 14 15 17 18 19 20 21 Since these reviews were published, many new trials have been conducted. Previous reviews have primarily focused on pairwise comparisons of the different exercise interventions within individual trials. One recent systematic review and network meta-analysis compared the effectiveness of acupuncture with other relevant physical treatments for alleviating pain from osteoarthritis.22 To our knowledge no review has yet compared different exercise approaches relative to each other by using network meta-analysis in which all interventions are compared equally by drawing on both direct evidence (comparing treatments within the same trial) and indirect evidence (comparing treatments from different trials). This approach deals with a critical research gap highlighted by recent Cochrane Reviews,8 13 which is the need for further studies to help provide evidence of the optimal types of exercise interventions and support decision making by patients, clinicians, and service commissioners. In this review, we first examined whether the required amount of information has been reached to confidently conclude that exercise is more effective than no exercise and that future trials need no longer examine this question. Secondly, we conducted a comprehensive synthesis using network meta-analysis methods to compare the effectiveness of different exercise interventions for pain and function in patients with lower limb osteoarthritis and to support evidence based recommendations regarding the content of these exercise programmes.
Information sources and search strategy
An information specialist developed the search strategy with input from clinicians and academics in the reviewing team. Exercise interventions were defined as any type of therapeutic exercise (land or water based), regardless of content, duration, frequency, or intensity. We searched Medline, Embase, CINAHL, AMED, HMIC (Health Management Information Consortium), Cochrane Database of Systematic Reviews Cochrane Controlled Clinical Trials (CENTRAL), DARE (Database of Reviews of Effectiveness), NHS EED (Economic Evaluations Database), and Web of Science from inception to March 2012. Appendix 1 shows the full search strategies for Medline and Embase. The Cochrane highly sensitive search was used to identify randomised controlled trials. No language restrictions were applied. The bibliographies of relevant review articles and selected articles were examined for additionally potentially relevant trials.
We evaluated each identified study against the following predetermined selection criteria:
Study population: adults with an established clinical or radiographic diagnosis of knee or hip osteoarthritis according to accepted criteria23
Intervention: any therapeutic exercise intervention (land or water based), regardless of content, duration, frequency, or intensity
Comparator: other forms of exercise or no exercise control group
Outcome measure: in agreement with international consensus24 regarding the core set of outcome measures for clinical trials in osteoarthritis, the trials needed to include assessment of at least one of self reported pain and function
Study design: randomised controlled trials. Trials were excluded if they concerned perioperative exercise therapy (immediately before or after surgery) or if intervention groups received identical exercise interventions (that is, no contrast existed between the intervention groups).
We used the Cochrane Collaboration’s tool for assessing risk of bias for quality assessment of the included trials.25 The trials were graded (unclear, high, or low risk of bias) based on sequence generation, allocation concealment, blinding of outcome assessor, incomplete outcome data, and selective outcome reporting.
Study selection and data abstraction
In pairs, six reviewers (OAU, DAvdW, JLJ, NEF, KSD, ELH) independently evaluated the eligibility and methodological quality of each trial and extracted data. Two reviewers independently classified the exercise interventions, based on three a priori defined characteristics or common aims of exercise interventions in osteoarthritis: to mainly improve strength, flexibility, or aerobic capacity/general health. Discrepancies were resolved by discussion. For each included trial we extracted details on design, sample size, population characteristics (knee osteoarthritis, hip osteoarthritis, or mixed), interventions (land based or aquatic, duration, number of supervised sessions and type of exercise), and outcome assessment (type of outcome measure and length of follow-up) on to a specifically designed electronic form and recorded the results of quality assessments.
The primary measure of treatment effect was the standardised mean difference (SMD) for pain intensity and function. This is the difference in means between the two groups, divided by the pooled standard deviation (SD) of the measurements. A negative value indicates more pain relief or improved function. We calculated change scores from baseline because many of the studies were small and there were significant baseline differences in scores between the treatment groups.13 When effect sizes were incompletely reported we contacted the corresponding author or estimated the SD on the basis of the sample size, median, and range, as suggested by Hozo and colleagues26 or on the basis of the sample size and P value. For trials with multiple follow-ups, we used the longest duration reported. When a study reported multiple pain scales, we used the highest on the hierarchy of pain related outcomes as described by Juni and colleagues.27 When the SDs of absolute changes from baseline were not available from individual trials, we imputed them as described in detail in the Cochrane Handbook.28 In brief, we assumed a correlation of r=0.5 between baseline and follow-up to estimate SD for change from baseline.29 Using the imputed correlation coefficient values, we thereafter calculated SDs for the change from baseline for the studies with missing SDs. We classed the effect sizes into three categories: 0.2-<0.3 as small, 0.3-< 0.8 as medium, and >0.8 as large.30 If possible we used the intention to treat population for analyses. We back transformed effect sizes (SMD) for pain to differences on a 10 cm visual analogue scale (VAS) based on a median pooled SD of 2.5 cm reported in large scale trials in osteoarthritis that used a similar visual analogue scale for pain.31 Similarly, we back transformed standardised mean differences for function to a standardised Western Ontario and McMaster Universities (WOMAC) disability score32 ranging from 0 to 10 on the basis of a median pooled SD of 2.1 units reported in large scale trials.31
Trial sequential analysis
We examined the reliability and conclusiveness of the available evidence using trial sequential analyses (TSA).33 34 35 The sample size required for a reliable and conclusive meta-analysis is at least as large as that of a single optimally powered randomised controlled trial. Therefore, we calculated the sample size (that is, the heterogeneity corrected optimal information size (HOIS)) required to detect or reject a minimal relevant difference of two points on the mean pain relief and function scales in favour of exercise compared with no exercise control. We then used the HOIS to help construct Lan-DeMets sequential monitoring boundaries for our cumulative meta-analyses,36 analogous to interim monitoring in a randomised controlled trial, to determine when sufficient evidence had been accrued. We conducted the trial sequential analyses in TSA version 0.937 with an intention to maintain an overall 1% risk of a type I error and 10% risk of a type II error (power of 90%).
Data synthesis and model implementation
We used random effect Bayesian network meta-analysis (NMA) to compare the relative effectiveness of different exercise interventions.38 39 40 41 Network meta-analysis is a generalisation of meta-analysis methods that allows comparisons of interventions not compared directly within individual primary trials. We accounted for the correlation between treatment effects induced by three arm trials using the multi-arm trial code in WinBUGS.42 We calculated the probability of each exercise intervention being the most effective (first best), the second best, the third best, and so on, and presented the results graphically with rankograms.40 Probability values were summarised and reported as surface under the cumulative ranking (SUCRA).40 SUCRA = 1 if an exercise intervention always ranks first and 0 if it always ranks last.
We estimated the consistency between direct evidence (from randomised controlled trials directly comparing different exercise interventions) and indirect evidence by calculating the difference of standardised mean differences for indirect versus direct comparisons whenever indirect estimates could be constructed with a single common comparator.43 We also inspected heterogeneity using Higgins’ I2 measure for each pairwise comparison. As we expected that some comparisons would be based on a larger number of trials than others, we calculated the percentage contribution of each estimate in the network on the summary estimates and on the entire network. The results were summarised in contribution plots by using weighted squares representing the percentage contribution of each comparison.44
We conducted a sensitivity analysis to examine whether effect estimates would be influenced by the joint investigated in the individual trials. As most trials focused on knee osteoarthritis, in this sensitivity analysis we restricted the network meta-analysis to knee osteoarthritis trials only. The number of trials focusing on hip osteoarthritis, or including patients with hip, knee, or other lower limb joints, was too small to carry out a separate network meta-analysis. Finally, we used network meta-regression analysis to investigate whether potential heterogeneity could be explained by differences in year of publication,43 number of supervised sessions (as a measure of treatment intensity), and duration of follow-up. The meta-regression was performed by allowing for a common treatment-covariate interaction for each exercise intervention to no exercise control in the network meta-analysis.45
The network meta-analyses were conducted with a Bayesian Markov chain Monte Carlo method and fitted in Bayesian software, WinBUGS.42 Two Markov chains were run simultaneously with different arbitrarily chosen initial values. Convergence to a stable solution was checked by viewing plots of the sampled simulations and use of the Brooks-Gelman-Rubin diagnostic tool (available on request).46 47 Convergence was found to be adequate after we ran 50 000 samples for both chains. These samples were then discarded as “burn-in” and posterior summaries are based on 100 000 subsequent simulations. All results are reported as posterior medians of standard mean differences with corresponding 95% credible intervals (CrIs). Credible intervals are the Bayesian equivalent of classic confidence intervals. A 95% credible interval can be interpreted as there being a 95% probability that the parameter takes a value in the specified range.
Study selection and characteristics
The literature search yielded 3796 articles, from which we selected 177 full text articles for critical reading (fig 1⇓). Of the 177 articles, 115 did not meet the inclusion criteria and were excluded. Sixty randomised controlled trials21 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 (8218 patients) with usable outcome data met the inclusion criteria and were included. Appendix 2 details the characteristics of the included trials. The trials were published between 1989 and 2012. The maximum length of follow-up ranged from 4 weeks to 79 weeks (median 15 weeks). Most of the trials were from the US (n=17, 28%), followed by the UK (n=9, 15%) and Australia (n=8, 13%). Trials recruited participants mostly from local communities. Most of the trials recruited patients with knee osteoarthritis (n=44, 73%), two investigated hip osteoarthritis (4%), and 14 (23%) recruited a mix of patients with osteoarthritis of the hip, knee, or other joints.
Risk of bias of included trials
We assessed risk of bias in all included trials (see appendix 3 for summary and graph). The generation of the allocation sequence was adequate in most trials (n=42, 60%). Allocation concealment was adequate in almost half of the trials (n=25, 42%). Thirty one trials (52%) masked outcome assessors to treatment allocation. The potential risk of bias likely to be introduced by incomplete data was high in 10 trials (18%). The risk of selective reporting bias was low in most trials (n=53, 88%).
Trial sequential analysis
Trial sequential analysis showed that as of 2002 enough evidence had been accrued to show significant benefit of exercise intervention over no exercise control for both pain and functional improvement (see appendix 4). The cumulative z curve for pain and function crossed the trial sequential monitoring boundaries, implying that there is firm evidence for a beneficial effect of exercise interventions over no exercise in people with lower limb osteoarthritis.
Network meta-analysis of exercise interventions: pain outcome
There were 13 comparisons (12 exercise interventions plus no exercise controls) in the network of eligible exercise intervention comparisons for pain (see appendix 5). Most trials included a no exercise control group (n=54, 90%). The commonest comparison was no exercise control versus strengthening exercise (n=12, 20%), followed by no exercise control versus combined exercise (flexibility plus strengthening plus aerobic exercise) (n=10, 17%). No comparison had undue influence or contribution to the effect estimates in the entire network. The weighted percentage contributions of each comparison were fairly equally distributed in the entire network of evidence. Analysis based on direct versus indirect comparisons showed no evidence of inconsistency between direct and indirect evidence in the network, although some comparisons were based on a small number of trials. Table 1 provides information regarding statistical heterogeneity in pairwise comparisons (I2)⇓. For most comparisons 95% confidence intervals for statistical heterogeneity were wide and included values suggesting either no or large heterogeneity, which reflects the small number of studies available for most pairwise comparisons.
Figure 2⇓ summarises the results of the network meta-analyses for the outcome measure of pain for all trials (regardless of the joint involved). Strengthening exercise only, strengthening plus flexibility, combined strengthening plus flexibility plus aerobic, aquatic strengthening, and aquatic strengthening plus flexibility were significantly more effective than no exercise control (see appendix 6 for pairwise comparisons). The overall difference in pain intensity (v control) was −2.03 cm (95% credible interval −2.82 to −1.26 cm, large effect size) on a 10 cm visual analogue scale for strengthening only exercise, −1.26 cm (−2.12 to −0.40 cm, medium effect size) for flexibility plus strengthening exercise, −1.74 cm (−2.60 to −0.88 cm, medium effect size) for flexibility plus strengthening plus aerobic, −1.87 cm (−3.56 to −0.17, medium effect size) for aquatic strengthening, and −1.87 cm (−4.11 to −0.68 cm, large effect size) for aquatic flexibility plus strengthening exercise. In terms of the cumulative probability of being the overall best exercise intervention for pain in lower limb osteoarthritis, aquatic strengthening plus aerobic flexibility exercise (81%) was closely followed by strengthening exercise only (76%), and aquatic strengthening plus aerobic exercise (73%) (fig 2).⇓
When we limited the analysis to trials focusing on knee osteoarthritis, the cumulative rankings did not change much (table 2⇓), but effect estimates tended to be larger compared with the overall analysis, which also included trials focusing on hip osteoarthritis and trials investigating osteoarthritis in any joint. The results of the meta-regression analyses did not show any significant association between exercise effects and either one of the three study level covariates considered (table 2)⇓. Comparative effect estimates (SMDs) and cumulative rankings of exercise interventions also did not change appreciably in meta-regression analyses when we adjusted for trial publication year, number of supervised sessions, or duration of follow-up (table 2).
Network meta-analysis of exercise interventions: function outcomes
For function outcomes there seemed to be no evidence of inconsistency between direct and indirect evidence in the network, although the number of trials for some comparisons was small. The combined intervention of strengthening plus flexibility plus aerobic exercise was significantly more effective than no exercise controls (appendix 6). The overall difference in function (versus no control) was −1.32 units (95% credible interval −2.44 to −0.21 units, medium effect size) on a WOMAC disability scale ranging from 0 to 10 for the combination of strengthening, flexibility, and aerobic exercise. Figure 2 shows that this combination of three types of exercise (71%) and aquatic strengthening plus aerobic (71%) exercises had the highest probability of being the best overall treatment for function.⇑
Similar to the analysis of pain, when we limited the network meta-analysis to knee osteoarthritis trials, the cumulative rankings showed little change, although effect estimates were generally slightly larger compared with the overall analysis (table 3⇓). The meta-regression analyses did not detect any significant association between exercise treatment effects and the three study level covariates considered (table 3). After adjustment for possible differences in these study level factors, however, combined exercise programmes including flexibility, strengthening, and aerobic exercise were no longer significantly more effective than no exercise controls.
There were no significant differences for pairwise comparisons between the different types of exercise, with small to moderate effect sizes for both pain and function (appendix 6). Figure 3 shows the scatterplot of cumulative probabilities of being the most effective exercise intervention for both pain and function, which indicates that it is likely that interventions consisting of a combination of strengthening exercises with aerobic and/or flexibility exercises are most effective.⇓
When we applied trial sequential analysis to determine the reliability and conclusiveness of evidence for the effectiveness of exercise interventions over no exercise control, it is clear that as of the year 2002 there was firm evidence of the effectiveness of exercise interventions for pain relief and improvement in function in patients with lower limb osteoarthritis. The totality of evidence, although largely based on trials in knee osteoarthritis shows that further trials of exercise versus no exercise are unlikely to overturn this positive result.
Furthermore, the network meta-analysis showed that there is no significant difference in effect estimates between different types of exercise interventions, which could be partly explained by the small number of studies for several pairwise comparisons. However, our data support better results for some exercise interventions. Based on relative effect estimates and cumulative ranking, interventions combining strengthening with flexibility and aerobic exercise (either land or water based) seemed to be the most effective intervention when we considered measures of both pain and function in lower limb osteoarthritis and was the only exercise intervention significantly more effective than no exercise control for both pain and function. The cumulative ranking obtained by the network meta-analysis cannot be considered as conclusive because it was impaired by the lack of significant differences among the exercise interventions. For example, aquatic flexibility plus strengthening exercises occupy the first rank position (81%) for pain but did not show superiority over any of the other exercise interventions. The lack of significant differences between different types of exercise interventions, however, might be because of the small number of studies contributing evidence to several comparisons in the network.
Study strengths and limitations
Our study has several strengths and limitations. We performed a comprehensive search of several databases and sources to identify eligible trials, with no language restriction. We reduced potential bias in the conduct of this review by having pairs of reviewers independently scan through the search output, extract data, classify interventions, and assess the methodological quality of each trial. Though our review uniquely aimed to determine if and when sufficient evidence for exercise interventions had been accrued, repeated meta-analysis with accumulating trial data can lead to false positive findings (random errors) if multiple testing is not accounted for.34 To minimise random error, we calculated an information size (that is, required meta-analysis sample size) as large as that of an adequately powered trial and applied trial sequential analysis to the meta-analysis.33 34 35 The results of trial sequential analysis can therefore also support decisions regarding the need for and feasibility of future trials.108
To our knowledge, this is the first network meta-analysis of exercise for lower limb osteoarthritis. It shows the usefulness of network meta-analysis for comparing different exercise interventions and for evaluating the relative effectiveness of each. Network meta-analysis is particularly relevant to this, given that exercise is a complex and multifaceted intervention and the number of trials comparing the same exercise interventions is small. Results are also likely to be more useful to policy makers, service commissioners, and care providers when they are making choices between multiple alternatives than results from multiple separate pairwise meta-analyses.109 Another important strength of the network meta-analysis is that it treats all comparators as separate treatments while gaining statistical power from including all available data.109 The Bayesian approach has the additional advantage of being able to provide probability statements for which exercise intervention is the most effective, even when standard methods might determine no significant difference between them. In addition, we calculated alternative rankings (second, third best, etc), because in some cases the best exercise intervention might be unavailable, more costly, or contraindicated in some patients.
Our main aim was to explore the relative effectiveness of three main components of exercise interventions: increasing strength, flexibility, or endurance. We realise that this approach does not allow an analysis of more specific or detailed components of exercise interventions investigated in a small number of trials, such as t’ai chi, which was classified as “predominantly strength and flexibility.” We considered adding categories (such as balance or relaxation) or investigating t’ai chi separately, but this further complicated the analysis and strongly reduced the statistical power of the network meta-analysis.
As with most meta-analyses on exercise for osteoarthritis, our network meta-analysis could be criticised for including trials with varying length of follow-up periods. The different length of follow-up periods might have introduced some heterogeneity into the network meta-analysis. Methods that allow for repeated follow-up measurements have been reported for pairwise meta-analyses. The Cochrane handbook28 makes several recommendations for the meta-analysis of trials that report multiple time points, including the use of individual patient data meta-analysis and assessment of one particular time point. Methods that allow for inclusion of all time points in a network meta-analysis, however, are still under development. The choice of method will depend on the research question of interest and the data available from the included studies. None of these methods is free from biases. We explored the influence of differences in the duration of follow-up using meta-regression analysis, which did not result in significant or substantial differences in effect estimates. We could also have explored the potential influence of characteristics of the study population (such as mean age, severity of osteoarthritis), but meta-regression has low power in detecting patient level covariate effects when average study level covariate values are used.110 111 112 Similarly, it is prone to aggregation bias, a problem that can be avoided only with individual patient data meta-analysis.110 111 112 A final limitation is that we focused our review on clinical effectiveness only; we did not attempt to assess the cost effectiveness of preferentially using a particular exercise intervention.
Comparison with other studies
Several systematic reviews (including three recent Cochrane reviews) have concluded that exercise is beneficial for patients with osteoarthritis of the lower limb.8 13 14 15 16 17 18 19 20 21 Fransen and colleagues included 32 trials comparing any exercise intervention with a control group for knee osteoarthritis and showed that land based therapeutic exercise had significant benefits in terms of pain (SMD 0.40, 95% confidence interval 0.30 to 0.50) and function (0.37, 0.25 to 0.49).13 The authors found no significant differences in the magnitude of treatment effects between difference types of exercise interventions. In another review, Fransen and colleagues included five trials and found a small treatment effect for pain but no benefit in terms of function for hip osteoarthritis.8 They cautioned that the results of the meta-analysis should be considered inconclusive because of the small number of trials and marked heterogeneity.8 Bartels and colleagues included six trials investigating aquatic exercise interventions and found a small to moderate effect on function (SMD 0.26, 95% confidence interval 0.11 to 0.42) and large effect on pain (0.86, 0.25 to 1.47) for combined hip and knee osteoarthritis.15 The authors emphasised that caution is needed in recommending aquatic exercise interventions because of the limited number of trials in the meta-analysis and suggested that trials with clearly defined patient groups with long term outcomes are needed to further test aquatic exercise.15 Contrary to previous meta-analyses that concluded no clear superiority of one form of exercise over another in improving pain and function,13 14 18 our study provides new, though tentative, evidence about the most effective exercise interventions for patients with lower limb osteoarthritis. It should be noted that most trials included in this meta-analysis focused on participants with knee osteoarthritis, and the results are therefore more applicable to such patients. The sensitivity analysis, which included only trials in knee osteoarthritis, showed slightly larger effect estimates compared with the overall analysis, regardless of the type of exercise. Once further evidence has accumulated about the role of exercise in hip osteoarthritis, a similar network meta-analysis might provide insight into the relative effectiveness of different types of exercise interventions in such patients.
Implications for practice
We believe our findings are both clinically and scientifically important. They suggest that some exercise interventions are likely to be more effective than others in helping achieve improvements in pain and function in patients with lower limb osteoarthritis. Exercise programmes that combine strengthening exercise with exercise aimed at increasing flexibility and aerobic capacity seem to be the “best” exercise option that clinicians can offer to patients. Current guidelines for osteoarthritis, such as those in the UK,1 report there is limited evidence for the benefits of one type of exercise over another and recommend both strengthening and aerobic exercise as “core” treatment. Osteoarthritis Research and Society International (OARSI) also recommended that osteoarthritis patients should be encouraged to undertake regular aerobic, muscle strengthening, and range of motion exercises.12 113 The results of our study provide evidence to support this recommendation.
Implications for research
One paper cannot deal with all questions pertinent to the evaluation of exercise for lower limb osteoarthritis. With respect to further empirical trials, research is needed to better identify how best to support patients with lower limb osteoarthritis to adhere to exercise and physical activity, which patients with lower limb osteoarthritis benefit most from exercise, and whether some modes of delivery and support of exercise lead to better outcomes. Additional questions include determining the long term clinical and cost effectiveness of exercise interventions for lower limb osteoarthritis and how best to ensure that the beneficial short term effects of exercise are maintained over time.
What is already known on this topic
Current international guidelines recommend therapeutic exercise (land or water based) as “core” and effective management of osteoarthritis, given existing evidence regarding the beneficial effects of exercise on pain and function, ease of application, few adverse effects, and relatively low costs
What this study adds
As of the year 2002, there was enough evidence to show significant benefit of exercise interventions versus no exercise in lower limb osteoarthritis, indicating that further trials of exercise versus no exercise are unlikely to overturn this positive result
Evidence from the network meta-analysis, largely based on studies in knee osteoarthritis, indicates that a programme combining flexibility, strengthening, and aerobic exercise is most likely to improve outcomes of pain and function
Cite this as: BMJ 2013;347:f5555
We thank Mark Porcheret for his advice during the preparation of this paper and Kelvin Jordan for critical reading of this manuscript.
Contributors: OAU, DAvdW, JLJ, KSD, ELH, and NEF were responsible for study concept and design, acquisition of data, and analysis and interpretation of data. All authors drafted or wrote the manuscript and critically revised it for important intellectual content. OAU, DAvdW, and JLJ were responsible for statistical analysis. DAvdW, KSD, and NEF supervised the study. OAU is guarantor.
Funding: This study was funded by the National Institute for Health Research (NIHR) under its programme grants for applied research programme (grant reference No RP-PG-0407-10386). The NIHR had no role in the conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review of the manuscript. The conclusions and views expressed in this article are those of the authors and not necessarily those of the NHS, NIHR, or Department of Health.
Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declare: DAvdW, KSD, ELH, GMP, and NEF are involved in the design and conduct of publicly funded trials on the effectiveness or exercise approaches for osteoarthritis or other musculoskeletal conditions.
Ethical approval: Not required.
Data sharing: No additional data available.
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