Chronic ankle instability is associated with proprioception deficits:A systematic review and meta-analysis

Xiao’ao Xue,Tengjia Ma,Qianru Li,Yujie Song,Yinghui Hua*

Department of Sports Medicine,Huashan Hospital,Fudan University,Shanghai 200040,China

Abstract

Keywords: Chronic ankle instability;Joint position sense;Kinesthesia;Proprioception

1. Introduction

Lateral ankle sprain is one of the most common sports injuries, and it has the highest recurrence rate among all lowerextremity musculoskeletal injuries.1,2More than 2 million ankle sprains are treated in the UK and USA each year,which results in more than USD2 billion in health care costs.3Following the initial sprain, about 40% of patients report repetitive bouts of the ankle “giving way” and recurring sprains or the feeling that the ankle joint is unstable. These bouts are termed chronic ankle instability (CAI).4,5Fixing mechanical laxity through surgery is usually suggested for patients suffering persistent CAI symptoms,while other patients continue to experience poor ankle function.6,7Therefore, exploring other factors that contribute to CAI is crucial for developing more closely targeted interventions.

To date,many studies have focused on sensorimotor deficits in CAI.8-12The first proposed sensorimotor factor in ligament injuries was joint proprioception,which was originally defined as the perception of position and movement (referring to“position sense” and “kinesthesia”, respectively), but now includes other mechanical senses, such as force and vibration.13-15The impaired proprioceptive nerve endings within the sprained joints have been widely blamed for the functional losses in ligament injuries.16,17In addition,low proprioception is also associated with worse sports performance,higher risk of ankle-related sports injuries,and the progression of post-injury osteoarthrosis.13-15,18

Consistent results have been found in previous systematic reviews of non-specific proprioception tests in CAI, such as dynamic balance and posture-control deficits.11,12However,original studies and reviews of specific tests of the originally defined proprioception in CAI have produced conflicting results.12,19-25Munn et al.19and Hiller et al.12conducted meta-analyses of this content, but their results were inconsistent concerning joint position sense(JPS)deficits and failed to pool data on kinesthesia. Lack of studies and full considerations of test methodologies, including comparison types and movement directions, might be one of the key reasons for the inconsistency.26Also, both studies focused only on the ankle,and there were pieces of evidence indicating that kinematics beyond the ankle could also be altered by CAI.27,28As a result,an updated and comprehensive review of proprioception changes in CAI patients was necessary.

Thus, the aim of this systematic review and meta-analysis was to determine whether the originally defined proprioception(kinesthesia and JPS)was impaired in patients with CAI compared with the uninjured contralateral side or healthy controls.We hypothesized that proprioception deficits did exist in patients with CAI.

2. Methods

2.1. Study design

This review was composed according to the guidelines for Meta-analysis of Observational Studies in Epidemiology(MOOSE).29The protocol was prospectively registered in the PROSPERO platform(CRD42020169730).

2.2. Search strategy

Two authors(XX and TM)independently conducted a systematic literature search of 7 electronic databases—EMBASE,Web of Science, SPORTDiscus, PubMed, Scopus, the Cumulative Index to Nursing and Allied Health Literature(CINAHL), and Cochrane Library—with the time period set from inception to 18 February 2020. Reference lists of each included paper were also checked manually. The search strategy was made up of 3 strings of keywords grouped with“AND”. These keywords included(1) ankle-related terms, (2)injury-related terms,and(3)proprioception-related terms,and the terms within each string were grouped with“OR”.The full search strategy for PubMed can be found in online Supplementary Material 1.

2.3. Inclusion and exclusion criteria

The inclusion criteria were as follows: peer-reviewed human studies in English that investigated joint proprioception(JPS and kinesthesia) in individuals with histories of ankle sprain and CAI symptoms compared with either the uninjured contralateral side or healthy controls. For the studies with interventions(e.g.,taping,treatment,or fatigue),the data without any intervention(e.g.,baseline or non-intervention control)had to be reported.If the studies used tests that mixed the joint movement directions or included bilaterally injured people using between-limbs comparison,they were excluded.

2.4. Article selections and data extraction

Studies were reviewed independently by 2 authors(XX and TM). If disagreements could not be resolved through discussion,a third reviewer(YH)was consulted.The same procedure was applied to the studies to extract the following information:demographic data, sample size, details of test methodology,joint proprioception results(mean and SD),and test reliability.The authors were contacted if numerical data were confusing or not reported.

To measure kinesthesia, the threshold of detection of passive movement(TTDPM)test was used,in which participants were asked to press a stop button when they perceived the passive movement, and the mean perceived angle was set as the kinesthesia score.21,30,31To measure JPS, the joint position reproduction (JPR) test and the active movement extent discrimination assessment (AMEDA) tests were used. For the JPR test,participants were presented with a predetermined target joint angle and were then asked to reproduce that angle passively through stop bottoms or actively by themselves.15,32There were 3 kinds of JPS scores in the JPR test: (1) absolute error(AE)was calculated from the average absolute deviation between the target and reproduced angle, representing the magnitude of errors, (2) constant error (CE) was calculated from the average deviation between the target and reproduced angle, representing both magnitude and direction of errors,and (3) variable error (VE) was calculated from the average deviation of reproduced angles, representing the consistency of errors.30AE was accepted as the most sensitive error to reveal deficits in CAI, compared with CE, VE, and mean reproduced angles,and it was chosen as our main focus.26,30,33For the AMEDA test, participants stood with free vision and were asked to experience several movement displacement distances and then judge the random orderly positions.34,35The area under the curve of operating characteristic analysis was calculated as the JPS score for the AMEDA test.34,35

2.5. Quality and risk of bias assessment

All the authors discussed the standards for each item before formally rating them, and 2 authors (XX and TM) rated the included studies independently.The inter-rater agreements for the initial ratings were calculated, and a third reviewer (YH)was consulted when there were disagreements.

To assess the quality of the studies, the epidemiological appraisal instrument, which included 33 items for observational studies, was applied.36Each item was scored as “Yes”(1 point), “Partial” (0.5 point), “No” (0 point), or “Unable to determine”(0 point).27,36An average score was calculated for overall quality.27To evaluate the risk of bias, a standardized tool recommended by the Non-Randomized Studies Group of the Cochrane Collaboration was applied; this tool included performance bias, detection bias, attrition bias, selection bias,and control of confounding for details of tests and analysis.27,37To assess the variability of patients with CAI,the recommendations of the International Ankle Consortium were applied.5The standard CAI criteria included(1)at least 1 significant ankle sprain that occurred at least 12 months previously and resulted in pain, swelling, and an interruption of at least one day of desired physical activity, (2) the absence of any ankle injury in the past 3 months, and (3) the presence of at least one of the 3 classical symptoms of CAI:at least 2 episodes of “giving way” in the past 6 months, at least 2 sprains in the same ankle,and self-reported ankle instability confirmed by a validated questionnaire.5

2.6. Statistical analysis

A meta-analysis of the random-effects model was performed using Stata (Version14; Stata Corp., College Station,TX,USA)for the studies that were similar in comparison type,proprioception type, test type, and movement direction. Subgroup analyses were conducted when appropriate. Narrative syntheses were undertaken for the rest of the studies.

The standardized mean difference (SMD) between patients with CAI and controls was calculated for all data, with 95%confidence intervals(95%CIs).Higher SMD represented larger joint proprioception deficits in patients with CAI; 0.2-0.5 were classified as weak effect size, ＞0.5-0.8 were classified as moderate effect size, and ＞0.8 were classified as large effect size.38,39To evaluate heterogeneity, Q and I2statistics were calculated, with p ＜0.05 considered as statistically significant and I2≥75%considered as indicating high heterogeneity.27,40Publication bias was quantitatively assessed by the Egger regression test, with p ≥0.1 indicating no significant publication bias.41To find and remove the potential source of high heterogeneity and to test the stability of the pooled results, sensitivity analysis using the one-study-removed method was conducted for all included analyses.27

The kappa(κ)values of inter-rater agreements between the 2 reviewers(XX and TM)were calculated using SPSS Version 25.0(IBM Corp.,Armonk,NY,USA),with κ ＞0.8 as almost perfect agreement.27,42

3. Results

3.1. Study selection and characteristics

The literature search identified 7731 potentially eligible studies, and 30 studies were included in the final review. The selection process and the reasons for exclusion are presented in a flow diagram(Fig.1).Among the included articles,27 studies investigated proprioception of the ankle,and 3 studies focused on other joints(2 on knees and 1 on shoulders).The mean age of patients with CAI ranged from 21.0 to 30.0 years, and the mean age of healthy participants (controls) ranged from 20.1 to 31.0 years.More study characteristics,including sample size,devices,details on the methodologies used, reliability, and summarized results are presented in online Supplementary Material 2.

3.2. Quality and risk-of-bias assessment

For the quality assessment using the epidemiological appraisal instrument tool, 948 agreements were achieved from 990 items (κ=0.937), and the rating score ranged from 0.45 to 0.64,with 0.50 as the median score.For the risk-of-bias evaluation,204 agreements were achieved from 210 items(κ=0.934),and all studies described demographic details, enrolled a representative “chronic ankle instability” population, and made an appropriate comparison. No significant publication bias(p ranged 0.10-0.78) was observed for the results of metaanalysis. For the variability of included patients with CAI, 229 agreements were achieved from 240 items(κ=0.922).All studies required a history of sprain and at least one of 3 required symptoms as inclusion criteria. The detailed rating scales are presented in online Supplementary Material 3.

3.3. Proprioception

3.3.1. Ankle kinesthesia:between limbs

Five studies investigated kinesthesia between the injured ankle and the uninjured contralateral side. The data from 1 study of ankle kinesthesia,published in the 1980s,were based on judgments related to passive plantarflexion, and the sprained ankle showed significantly lower accuracy in both movement (p ＜0.001) and non-movement (p ＜0.05).43The remaining 4 studies used TTDPM measurements,measured in degrees. For inversion, the pooled results revealed a weak effect for kinesthesia deficits (SMD=0.41, I2=0.0%)21,44,45(Fig. 2A). For plantarflexion, the pooled results show a large effect for kinesthesia deficits (SMD=0.92, I2=0.0%)20,45(Fig. 2B). We found no studies that investigated eversion or dorsiflexion.

3.3.2. Ankle kinesthesia:between groups

Only 2 studies of kinesthesia enrolled healthy people as controls,and both of them applied TTDPM measurements.For inversion,the pooled results reveal a moderate effect for kinesthesia deficits (SMD=0.64, I2=1.3%)21,31(Fig. 3A). For eversion, only 1 study with 3 different velocities showed a moderate effect for kinesthesia deficits (SMD=0.76,I2=0.0%)31(Fig. 3B). We found no studies that investigated plantarflexion or dorsiflexion.

3.3.3. Ankle JPS:between limbs

Eleven studies compared JPS between injured ankles and the uninjured contralateral sides. All these studies used the JPR test to measure the AE directly, and 10 studies with AE were included in the pooled analyses.For inversion,the pooled results of active JPR show a large effect of deficits(SMD=0.92, I2=81.5%),21,45-47and the pooled results of passive JPR show a moderate effect of deficits (SMD=0.72,I2=66.6%)21,22,45,48-50(Fig.4A).The only study with CE did not detect a significant difference (SMD=-0.12, 95%CI:-0.51 to 0.27).51For eversion,only 1 study applied CE,which also revealed no significant difference(SMD=-0.04,95%CI:-0.70 to 0.61).51For plantarflexion, the pooled results of active JPR showed no significant difference (SMD=0.68,I2=76.5%),45,52whereas the pooled results of passive JPR show a large effect of deficits(SMD=1.00,I2=65.1%)20,45,52(Fig.4B).We found no studies of dorsiflexion.

Fig.1. Flow chart of the systematic review selection process.BL=between limbs;CAI=chronic ankle instability;CINAHL=Cumulative Index to Nursing and Allied Health Literature.

Fig.2. Kinesthesia compared with the contralateral healthy limb in(A)inversion and(B)plantarflexion.Positive SMD indicates kinesthesia deficits in the injured ankle.CI=confidence interval;SMD=standardized mean difference;TTDPM=threshold to detection of passive motion test.

3.3.4. Ankle JPS:between groups

Seventeen studies investigated JPS and enrolled healthy participants as controls.Results from 2 studies that used the AMEDA test and 12 studies that directly measured JPR with AE were pooled.For inversion,the pooled results of active JPR showed a large effect of deficits(SMD=1.00,I2=86.2%),47,53-58whereas the pooled results of passive JPR showed no significant difference(SMD=0.11, I2=0.0%)21,23,49,59(Fig. 5A). As for the pooled results from the 2 studies using the AMEDA test,a large effect of lower accuracy to joint position (SMD=-1.04, 95%CI: -1.48 to-0.6;I2=16.2%)was observed.34,35For eversion,the pooled results of active JPR showed a large effect of deficits (SMD =4.82; I2=87.9%),54,57,58whereas the pooled results of passive JPR showed no significant difference (SMD=0.37,I2=12.4%)23,59(Fig.5B).For plantarflexion,the pooled results of both active JPR (SMD=1.71, I2=97.5%) and passive JPR (SMD=0.07, I2=81.9%) showed no significant difference23,54,55,57-59(Fig. 5C). For dorsiflexion, the pooled results of both active JPR(SMD=1.27,I2=95.8%)and passive JPR (SMD=0.15, I2=20.2%) also showed no significant difference23,54,57-59(Fig.5D).

Fig.3. Kinesthesia compared with healthy people in(A)inversion and(B)eversion.Positive SMD indicates kinesthesia deficits in the injured ankle.CI=confidence interval;SMD=standardized mean difference;TTDPM=threshold to detection of passive motion test.

Fig.4. Joint position sense compared with the contralateral healthy limb in(A)inversion and(B)plantarflexion.Positive SMD indicates kinesthesia deficits in the injured ankle.CI=confidence interval;JPR=joint position reproduction test;SMD=standardized mean difference.

As for the studies with different units,the study with VE did not find a significant difference in inversion (SMD=0.24,95%CI:-0.63 to 1.11)or plantarflexion(SMD=0.23,95%CI:-0.64 to 1.1).55One study with CE also did not find a significant difference in inversion (SMD=-0.38, 95%CI: -0.79 to 0.02).60One study with mean reproduced angle showed a significant difference in inversion (SMD=0.37, 95%CI:0.06-0.67) and plantarflexion (SMD=-0.31, 95%CI: -0.62 to -0.01), but not in eversion (SMD=0.29,95%CI: -0.01 to 0.59)or dorsiflexion(SMD=-0.05,95%CI:-0.25 to 0.35).24One study using indirectly measured movement analysis found a significant difference in eversion (SMD=1.46, 95%CI:0.55-2.37), plantarflexion (SMD=0.89, 95%CI: 0.05-1.74),and dorsiflexion (SMD=1.10, 95%CI: 0.24-1.97) but not in inversion(SMD=0.79,95%CI:-0.05 to 1.62).61

3.3.5. Knee and shoulder proprioception

Two studies investigated the proprioception in the knee with JPR tests of knee flexion. One with VE found a significant difference (SMD=1.27, 95%CI: 0.79-1.74 and SMD=1.42, 95%CI: 0.31-2.54, between limbs and groups,respectively),28whereas the other study with AE showed no significant difference between groups (SMD=0.07, 95%CI:-0.46 to 0.6).62One study of the shoulder with an external JPR test showed no significant difference between groups(SMD=-0.41, 95%CI: -1.16 to 0.34 and SMD=-0.38,95%CI: -1.13 to 0.37, for the right and left sides, respectively).63

Fig.5. Joint position sense compared with healthy people in(A)inversion,(B)eversion,(C)plantarflexion,and(D)dorsiflexion.Positive SMD indicates kinesthesia deficits in the injured ankle. a Percentage of individual maximal movement angles in each subject.CI=confidence interval;JPR=joint position reproduction test;SMD=standardized mean difference.

3.4. Sensitivity analysis

For the potential source of high heterogeneity, the I2of active inversion JPS between limbs turned from 81.5% to 0 when the study by Sousa et al.21was removed. The heterogeneity in other analyses could not be explained by individual studies. For the stability of the analyses, the pooled results of active JPR in plantarflexion between limbs became significant when the study by Saavedra-Miranda et al.52was removed (SMDremoved=1.08, 95%CI: 0.15-2.01), and the pooled results of passive JPR in plantarflexion between limbs become insignificant when the study by Hanci et al.45was removed (SMDremoved=0.54, 95%CI: -0.09 to 1.16). The other analyses were unaffected by altering individual studies.

4. Discussion

The most important finding of this review was that the deficits of proprioception (JPS and kinesthesia) did exist in the ankles of patients with CAI and varied according to the differing test methodologies. An overview of the meta-analysis shows that kinesthesia, passive and active JPS of ankle inversion, and kinesthesia of ankle plantarflexion were impaired in CAI when compared with the uninjured contralateral side.Kinesthesia and active JPS of ankle inversion and eversion were impaired in CAI when compared with healthy controls.

Proprioceptive information is critical for the central nervous system to control both basic and skilled movements.15For example, when an individual walks on an uneven road, kinesthesia can detect the potential changes of movements and adjust the motor plan properly,and JPS can help to turn the joints into a more suitable position before each touchdown, thus avoiding instability.64For the morphological bases, Ruffini endings and Pacinian corpuscles (within the joint corpuscles and ligaments)contribute to JPS and kinesthesia,respectively,and muscle spindle is thought to play an important role in both of them.65,66For the mechanism of deficits, sprain accidents could lead to tears of ligaments and muscles and damage the articular receptors and muscle spindles.16,17In addition, the inflammation and edema after the injuries could also lead to partial deafferentation and influence the functions of proprioceptive receptors.16,17Because the sensory inputs are altered, the motor outputs(including reflections and voluntary movements) are also altered,which could lead to function losses.16,67

4.1. Ankle kinesthesia

The earliest measurement of kinesthesia in CAI was the judgment of movement, and then TTDPM was widely applied.33,43The only previous review of kinesthesia in CAI found a weak deficit between groups, but the review mixed movement directions and lacked available studies to synthesize.11The results of our review indicated impaired kinesthesia,with weak effect in inversion and large effect in plantarflexion when compared with contralateral limb, and moderate effects in inversion and eversion when compared with healthy people.Although the test velocities varied among the studies, all of the included studies were highly homogeneous, and the results proved to be stable in our sensitivity analysis.

4.2. Ankle joint position sense

JPR was the most common test method for JPS.32For the JPS between limbs, only the study by Mckeon and Mckeon26revealed a significant deficit in CAI, but it mixed the movement directions.In this study,a large effect of active JPS deficit and a moderate effect of passive JPS deficit was observed in inversion,and the sensitivity analysis revealed that the high heterogeneity within this analysis came mainly from the study by Sousa et al.21The potential reason might be that the measurement by Sousa et al.21applied an additional supination to avoid the sensory input from joint receptors. As for plantarflexion, the large effect of passive JPS deficit proved to be unstable by sensitivity analysis and should be interpreted with caution.

For the JPS between groups, the previous study by Munn et al.19indicated significant deficits in both passive and active JPS,while different directions were mixed.As for the study by Hiller et al.,12the lack of available studies and the enrolment of bilaterally injured patients might have contributed to the insignificance between groups.To address these problems,our study analyzed the JPS in different directions separately and excluded the potential bilateral CAI patients.Our results indicated a large effect of impaired active JPS in inversion and eversion,which proved to be stable in our sensitivity analysis.

Contrary to the JPR test that tried to minimize confounders by using a non-weight-bearing posture and blocked vision,AMEDA was a newly developed measurement for evaluating active JPS and aimed to provide a natural condition for JPS evaluation.15,35The result of pooled 2 studies by Witchalls et al.34,35showed a large effect of JPS deficits in inversion with low heterogeneity, which suggested a potential application value in the evaluation of JPS in CAI.

4.3. Proprioception of other joints

For the secondary outcome of this review, the proprioception of other joints was also evaluated. Inconsistent results were observed in the 2 studies of the knee and 1 study of the shoulder.28,62,63The evidence was not strong enough to conclude that the proprioception of joints other than the ankle in CAI was different from controls.28,62,63Because deficits of other kinematics beyond the ankle, such as the strength of muscles around the knee, had been reported in CAI, testing whether the proprioception of joints other than the ankle might provide more information about the development and mechanisms at play in CAI.18,27,68Further research on this issue is needed.

4.4. Clinical implications

Our study provides evidence that patients with CAI have impaired ankle proprioception, which highlights the importance of detailed measurements and targeted interventions into proprioceptive inputs in the clinical management of CAI.However, although proprioception deficits have been widely accepted as an important factor in functional loss in ligament injuries, some researchers still question the clinical meanings of these changes.17,69During competitive sports, vision is occupied by targets, and attention demands are increased in order to manage skilled performance, so the central nervous system relies more on proprioceptive sources through central reweighting, and the influence of deficits is enlarged.68,70,71Therefore,even a small deficit should not be overlooked in the management of sports injuries.

For interventions,although the ankle proprioceptive input is partially impaired by the initial injury,the overall proprioceptive performance also depends on the ability of the central nervous system to use other sensory inputs, including vision and other proprioception, which could, theoretically, be trained through learning and neuroplasticity mechanisms.30,68Most of the current rehabilitation strategies for CAI, such as manual therapies and exercise therapies, are based on the training of non-specific balance rather than the specific sensory(e.g.,kinesthesia and JPS),which might lead to a lower efficiency.72,73We believe that,based on our results, more efficient interventions in kinesthesia and JPS can be developed for targeted CAI management.

4.5. Research implications

First,AMEDA is recommended for future studies because it simulates a more natural condition of exercise than traditional proprioception tests.15,69Second,obvious differences between various comparison types were observed in this study, which indicates that the proprioception of the uninjured contralateral ankle might be different from that in healthy people. Some studies have reported on the bilateral influence of unilateral injuries,74which could also exist in proprioceptive processing.Further exploration is needed.

4.6. Study limitations

There are some limitations to our study that should be acknowledged. First, the relationship between the test results and details, such as movement velocities and target angles,were not analyzed further due to the lack of available studies.Second, methodological quality and non-English studies were not considered for inclusion in our study. However, the low heterogeneities and the stability of the pooled results in our sensitivity tests supported the idea that these 2 shortages would not have influenced the reliability of our conclusions.26,27Third, we applied a broader definition of CAI than is recommended by the International Ankle Consortium, but the individuals with ankle sprain histories and residual symptoms were representative enough for CAI, according to previous research.5,7,75

5. Conclusion

The main findings from this study indicate that kinesthesia,passive and active JPS of ankle inversion, and kinesthesia of ankle plantarflexion are impaired in CAI when compared with uninjured contralateral limbs, and kinesthesia and active JPS of ankle inversion and eversion are impaired in CAI when compared with healthy controls.

Acknowledgment

This work was supported by the National Natural Science Foundation of China (Grant No. 81871823). The authors gratefully acknowledge the help of Ximan Li from Beijing Sport University, Beijing, China, in conducting the literature search.

Authors’contributions

XX carried out the study design,literature search and selection, data collection, quality rating, statistical analysis, and manuscript writing;TM carried out the study design,literature search and selection,data collection,quality rating,and manuscript reviewing; QL and YS carried out the study design and manuscript reviewing;YH carried out the study design,supervision of the literature search, data collection, quality rating,and manuscript reviewing.All authors have read and approved the final version of the manuscript,and agree with the order of presentation of the authors.

Competing interests

The authors declare that they have no competing interests.

Supplementary materials

Supplementary material associated with this article can be found in the online version at doi:10.1016/j.jshs.2020.09.014.