3.1Search results
A total of 672 records were retrieved after initial database search, and 446 records were included in the initial screening after removing duplicates with EndNote. The abstract and text for each study was reviewed by two reviewers based on the inclusion and exclusion criteria. 358 studies were excluded due to review articles, case report, unavailability of full text, and unrelated study design, interventions, and outcome parameters (e.g., protocol studies). Eighty-eight records were included in the full-text screening. After further screening, we find another 68 studies that did not fit the criteria and exclude them. Finally, 20 articles met the criteria and were included in our study, and all studies were published in English(McKeon, Ingersoll et al. 2008, Cloak, Nevill et al. 2010, Schaefer and Sandrey 2012, Hale, Fergus et al. 2014, Cruz-Diaz, Lomas-Vega et al. 2015, Donovan, Hart et al. 2016, Linens, Ross et al. 2016, Cain 2017, Wright, Linens et al. 2017, Deussen and Alfuth 2018, Sierra-Guzmán, Jiménez-Diaz et al. 2018, Ardakani, Wikstrom et al. 2019, Lee, Cho et al. 2019, Minoonejad, Karimizadeh Ardakani et al. 2019, Cain, Ban et al. 2020, Chang, Chen et al. 2021, Kim, Estudillo-Martínez et al. 2021, Shamseddini Sofla, Hadadi et al. 2021). The flowchart is shown as Figure 1.
3.2 Participant characteristics
Twenty studies were included in this meta-analysis including 682 patients with CAI (range of mean age =15~41 years), and the mean age of CAI’s patients in one study(Hale, Fergus et al. 2014)was not reported. The sex of CAI’s patients in the study (Sierra-Guzmán, Jiménez-Diaz et al. 2018, Chang, Chen et al. 2021) were not reported. The Hoehn and Yahr scale ranged from 1 to 5. The adverse effect was not reported in all studies. Specific details regarding participant characteristics are shown in Table 1.
3.3 Methodological quality assessment
The methodological quality of all included studies was evaluated using the Cochrane Collaboration’s techniques for assessing bias risk. In the domain of random sequence generation, all of the included trials described randomized allocation and were evaluated for low-risk. 10 studies (Hale, Fergus et al. 2014, Donovan, Hart et al. 2016, Linens, Ross et al. 2016, Cain 2017, Deussen and Alfuth 2018, Hall, Chomistek et al. 2018, Ardakani, Wikstrom et al. 2019, Lee, Cho et al. 2019, Cain, Ban et al. 2020, Chang, Chen et al. 2021) were classified as having an unclear risk in the field of allocation concealment while one study(McKeon, Ingersoll et al. 2008) were classified as having a high risk. In the domain of blinding of participants and personnel, eight studies (McKeon, Ingersoll et al. 2008, Schaefer and Sandrey 2012, Cain 2017, Anguish and Sandrey 2018, Sierra-Guzmán, Jiménez-Diaz et al. 2018, Minoonejad, Karimizadeh Ardakani et al. 2019, Cain, Ban et al. 2020, Chang, Chen et al. 2021)were assessed as having an unclear risk, while four study(Cloak, Nevill et al. 2010, Donovan, Hart et al. 2016, Hall, Chomistek et al. 2018, Lee, Cho et al. 2019) had a low risk. In their outcome assessment, four studies(Cloak, Nevill et al. 2010, Cruz-Diaz, Lomas-Vega et al. 2015, Cain 2017, Chang, Chen et al. 2021) were deemed as an unclear risk, and the rest were classified as low risk. All studies were reported as low risk in the field of incomplete outcome data. Regarding to selective outcome reporting bias, 8 studies (Hale, Fergus et al. 2014, Cruz-Diaz, Lomas-Vega et al. 2015, Donovan, Hart et al. 2016, Wright, Linens et al. 2017, Hall, Chomistek et al. 2018, Cain, Ban et al. 2020, Kim, Estudillo-Martínez et al. 2021, Shamseddini Sofla, Hadadi et al. 2021) were deemed to be at unclear risk, while three study (McKeon, Ingersoll et al. 2008, Deussen and Alfuth 2018, Minoonejad, Karimizadeh Ardakani et al. 2019)was deemed to be at high risk. Fifteen studies (McKeon, Ingersoll et al. 2008, Cloak, Nevill et al. 2010, Hale, Fergus et al. 2014, Donovan, Hart et al. 2016, Cain 2017, Wright, Linens et al. 2017, Anguish and Sandrey 2018, Deussen and Alfuth 2018, Hall, Chomistek et al. 2018, Sierra-Guzmán, Jiménez-Diaz et al. 2018, Ardakani, Wikstrom et al. 2019, Lee, Cho et al. 2019, Cain, Ban et al. 2020, Chang, Chen et al. 2021, Kim, Estudillo-Martínez et al. 2021)were evaluated as having an unclear risk , and two studies (Schaefer and Sandrey 2012, Linens, Ross et al. 2016)were assessed as having a high risk of other bias. These results are summarized in Figure 2.
3.4Meta-analysis results
3.4.1 Meta-analysis results of balance training on self-functional scores of patients with chronic ankle instability
3.4.1.1 Overall effect sizes of the intervention
A total of 14 article(McKeon, Ingersoll et al. 2008, Schaefer and Sandrey 2012, Hale, Fergus et al. 2014, Cruz-Diaz, Lomas-Vega et al. 2015, Donovan, Hart et al. 2016, Wright, Linens et al. 2017, Anguish and Sandrey 2018, Deussen and Alfuth 2018, Ardakani, Wikstrom et al. 2019, Lee, Cho et al. 2019, Minoonejad, Karimizadeh Ardakani et al. 2019, Cain, Ban et al. 2020, Kim, Estudillo-Martínez et al. 2021) were included in the study of balance training on self-functional scores of patients with chronic ankle instability, including 460 patients with CAI. Test for overall effect using a random effects model showed that balance training had prominent significant effect on the self-functional scores of patients with CAI (SMD = 1.02, 95% CI: 0.61 to 1.43, P<0.00001,I2 =72%), as shown in Fig. 3.
3.4.1.2 Results of Meta Regression Analysis and Subgroup Tests
When the heterogeneity I2 ≥ 50%, so it is necessary to explore the reasons for the heterogeneity and further subgroup testing by Meta regression(Westmacott, Sanal-Hayes et al. 2022). Three moderating variables were set according to the literature: intervention period, intervention frequency and intervention time. Intervention period was categorized as 4 weeks, 6 weeks, and > 6 weeks; intervention frequency was categorized as 2 times, 3 times, and > 3 times; and intervention time was categorized as >30min,20 min < t ≤ 30 min, and t ≤ 20 min. The result of meta regression analytic showed that the P value of intervention time (P=0.046) was less than 0.05, and the P values of intervention period (P=0.347) and intervention frequency (P=0.305) were greater than 0.05, as shown in Table 3. Thus, the intervention time indicator may be the main reason for heterogeneity.
The result of subgroup analysis revealed that among the intervention time, interventions of More than 20 minutes and less than 30 minutes had the best effect(MD=1.21, 95% CI: 0.96 to 1.46, P<0.00001,I2=55%), in addition, the p-value for the more than 30 minutes subgroup, despite its significance, was not supported by sufficient research evidence as it included only 2 articles ;among the intervention period, 4 weeks (MD=0.84, 95% CI:0.50 to 1.19, P<0.00001,I2=78%)and 6 weeks (MD=1.21, 95% CI: 0.91 to1.51, P<0.00001,I2=71%) had significant effects; among the intervention frequency, 2 times (MD=1.34, 95% CI:0.74 to 1.93, P=0.01,I2=22%) and 3 times (MD=1.14, 95% CI:0.89 to 1.38), P<0.00001,I2=57%)had significant effects, however, in the subgroup of 2 interventions times, there was also a lack of evidence for the significance of the findings, as only 3 studies were included in the literature .Therefore 3 times having the best effect; and as shown in Table 4. In summary, interventions of 4 weeks and 6 weeks, interventions of 3 times per week, and intervention time of 20 to 30 minutes were the most effective ways to improve the functional health of patients with chronic ankle instability, as shown in Table 3.
3.4.1.3 Results of sensitivity analysis
The heterogeneity of the article I2 was 76% (Figure 3), so it is necessary to explore whether one study will have a greater impact on the whole study by eliminating the study one by one. through the sensitivity analysis, the exclusion of a study has little effect on the overall heterogeneity, indicating that the results of meta-analysis are stable and reliable, see Figure 4
3.4.1.4 Results of the literature publication bias test
The funnel plot and Egger's method test were used to test the publication bias of the self-functional score in the study. The results of the Egger's method test shown that the P-value of the self-functional score (P=0.261) is greater than 0.05, as shown in Table 5, and the left and right distributions of the funnel plot are more balanced, as shown in Fig. 5, which indicates that there is no obvious publication bias in the literature included in the self-functional score, the results of the included literature are stable.
3.4.2 Results of Meta-analysis of Balance Training on Dynamic Balance Ability
3.4.2.1 Results of the overall effect size test of the SEBT
SEBT is an evaluation method to detect the dynamic stability of the affected ankle joint, which consists of the evaluation of the distance of maximal extension in three directions: anterolateral (SEBT-A), posterolateral (SEBT-PL) and posteromedial (SEBT-PM). A total of 13 articles were included in the study of balance training on SEBT with CAI patients. The heterogeneity test (I2 = 84%, 61% and 79%,P <0.00001) showed a high degree of heterogeneity, so a random effects model were used for testing of overall effect. The overall effect found that the balance training had significant improving effect on SEBT-A (MD=5.88; 95% CI, 3.37 to 8.40; P<0.00001; Figure 6), SEBT-PM (MD=5.47; 95% CI, 3.40 to 7.54; P<0.00001; Figure 7), SEBT-PL (MD=6.04; 95% CI, 3.30 to 8.79; P<0.0001; Figure 8) compared with the control group. The above data suggest that balance training can improve the dynamic balance ability of with CAI patients.
3.4.2.2 Subgroup test results of SEBT
Subgroup analyses results of the effects of the SEBT on the three directions are shown in Table 5. In terms of intervention time, interventions of less than 20 min had an improvement in the SEBT-A(MD=3.91, 95% CI:1.48 to 6.33, P=0.002,I2=42%) and SEBT-PM (MD=4.42, 95% CI:1.29 to 7.55, P=0.003,I2=41%) but not in the SEBT-PL, and interventions of 20-30 min had an improvement and a large effect size in all SEBT directions[SEBT-A(MD=6.71, 95% CI:2.75 to 10.66, P=0.0009,I2=91%);SEBT-PM(MD=5.18, 95% CI:2.27 to 8.18, P=0.0007,I2=69%);SEBT-PL(MD=8.68, 95%CI:4.32 to 13.04, P<0.0001,I2=86%)]; In terms of the intervention period, the 4-week and 6-week intervention showed significant improvements in all SEBT directions [4-week:SEBT-A(MD=4.90, 95% CI:3.10 to 6.70, P<0.00001,I2 =64%); SEBT-PM(MD=3.82, 95%CI:0.93 to 6.70, P=0.009,I2=25%); SEBT-PL(MD=4.40, 95% CI:0.72 to 8.08, P=0.02,I2=39%)]; [6-week:SEBT-A(MD=5.65, 95% CI:4.57 to 6.72, P<0.0001,I2=91%); SEBT-PM(MD=5.61, 95% CI:2.54 to 8.67, P=0.0003,I2=75%);SEBT-PL(MD=7.04, 95% CI:2.84 to 11.24, P=0.001,I2=90%)]and large effects in the SEBT-PM and SEBT-PL. Regarding the frequency of interventions, there were significant improvement on all SEBT directions by the 2 and 3 interventions per week[2-times:SEBT-A(MD=6.53, 95% CI:1.73 to 11.33,P=0.008,I2=71%);SEBT-PM(MD=5.28 95% CI:2.68 to 7.87, P<0.0001,I2=64%);SEBT-PL(MD=5.04, 95% CI:1.28 to 8.80, P=0.009,I2=0%)];[3-times:SEBT-A(MD=5.73, 95% CI:2.76 to 8.70, P=0.0002,I2=86%);SEBT-PM(MD=3.82, 95% CI:0.93 to 6.70, P=0.009,I2=25%);SEBT-PL(MD=6.96, 95% CI:3.53 to 10.38, P<0.0001,I2=83%)]. In conclusion, a 4-week and 6-week intervention with balance training two and three times a week for 20-30 min is the best combination of interventions to improve SEBT (dynamic balance) in patients with chronic ankle instability.
3.4.2.3 Results of sensitivity analysis of SEBT
Since the heterogeneity of the combined effect sizes of SEBT-A, SEBT-PM, and SEBT-PL were all greater than 50%,so sensitivity analyses were performed , see Fig. 9-11, the results showed that the exclusion of one study had little effect on the overall heterogeneity of the above indicators, which indicating that the results of the meta-analysis were stable and reliable.
3.4.2.4 Results of the literature publication bias test
Funnel plots and Egger asymmetry tests were performed for testing the publication bias on SEBT parameters (SEBT-A, SEBT-PM, SEBT-PL). The results of the Egger's method test indicated that SEBT-PM (P=0.104) and SEBT-PL(P=0.108) were greater than 0.05 while the P-value of SEBT-A(P=0.032) less than 0.05, as shown in Table 6, and the left and right distributions of the funnel plot of SEBT-PM and SEBT-PL parameters are more balanced, as shown in Fig. 12-14. The above results indicate that SEBT-A has some publication bias whereas SEBT-PM and SEBT-PL do not, and therefore the results for SEBT-PM and SEBT-PL from the included literature are stable.