What Is Known
Noninvasive brain stimulation has been increasingly adopted in many rehabilitation facilities for treating neuropathic pain (NP) in individuals with spinal cord injury (SCI), yet its effects remain controversial.
What Is New
meta-analysis of 11 randomized controlled trials, we found that noninvasive brain stimulation had no significant effect on pain reduction in individuals with post-SCI NP, but cranial electrotherapy stimulation might be useful in the management of anxiety in these individuals. These findings do not support the routine use of noninvasive brain stimulation for NP in individuals with SCI.
Spinal cord injury (SCI) is a devastating neurological condition, resulting in many physiologic changes including loss of motor function and sensation, changes in sexual function, as well as development of spasticity. According to the World Health Organization 2013 report, approximately 250,000–500,000 people worldwide experience SCI annually due to accidents, falls, violence, sports, and other causes.
In addition to the severe sensory and motor function loss below the injury plane, SCI can also be associated with chronic neuropathic pain (NP). 1 More than 40% of individuals with SCI develop severe NP. 2 Neuropathic pain is characterized by pain at or below the level of injury, which may be associated with allodynia or hyperalgesia. 3 It can negatively affect the performance of daily activities, sleep, mood, and lead to social communication barriers and poor quality of life. 4–6 7
Currently, the most common treatments for SCI-related NP are pharmacological, such as antidepressants, anticonvulsants, and opioids.
However, the pharmacological effect remains unsatisfactory over the long-term because of the refractoriness of NP. 8 In addition, consistent administration of medication leads to many adverse effects, such as constipation, toxicity, and increased risk of addiction or abuse. Under such circumstance, nonpharmacological strategies, especially noninvasive brain stimulation (NIBS) including repetitive transcranial magnetic stimulation (rTMS), transcranial direct current stimulation (tDCS), cranial electrotherapy stimulation (CES), and theta burst stimulation (TBS) have been increasingly adopted to treat NP in individuals with SCI. There have been few systematic reviews and meta-analyses examining the effects of specific NIBS in treating post-SCI NP, and their results have been inconclusive. As reported in a previous systematic review, 9 significant pain reduction was observed in two of three studies on tDCS for post-SCI NP, although this study was limited by lack of quantitative analysis. A 10 meta-analysis by Mehta et al. showed significant effects of tDCS in reducing NP after SCI posttreatment but the effect was not maintained at follow-up. The conclusions of this study are limited by the fact that a fixed effect model was applied, whereas the forest plot examining effects of tDCS on pain intensity showed significant heterogeneity. According to the Cochrane Handbook 5.10, 11 a fixed effect model is inappropriate when significant heterogeneity exists as it does not account for between-study variability. Hence, it remains elusive whether tDCS is effective for post-SCI NP. 12
Besides, there has been no
meta-analysis synthesizing evidence on the effects of overall NIBS on post-SCI NP. Therefore, the aim of our meta-analysis was to examine the effectiveness of NIBS in the treatment of NP among individuals with SCI. METHODS
The present review was performed and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (see Supplemental Checklist, Supplemental Digital Content 1,
). The protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO), CRD42019128161. Relevant articles published up to January 31, 2019, were searched in the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE (PubMed), Embase (OvidSP), PsycINFO (OvidSP), and Physiotherapy Evidence Database (PEDro). The following search terms were used for NIBS: repetitive transcranial magnetic stimulation, transcranial magnetic stimulation, cranial electrotherapy stimulation, transcranial direct current stimulation, and theta burst stimulation. Other keywords included spinal cord injury and pain. We combined multiple terms on NIBS with “OR” and then combined other keywords with “AND.” All potentially eligible studies will be considered with no language limitation. https://links.lww.com/PHM/A980 Study Selection
Studies were included if they met the following criteria: (1) randomized controlled trials (RCTs) comparing noninvasive brain stimulation with sham stimulation for NP in SCI; (2) NP or central pain in SCI had to be clearly defined; and (3) studies had to report pain intensity as an outcome at baseline and end of treatment. Studies were excluded if they were (1) studies involving participants without a clear diagnosis of NP in SCI
and (2) studies without accessible data and contacts of the authors. All the references of the articles were evaluated for eligibility as well. 13 Quality Assessment of Selected Studies
Study quality was assessed using the PEDro scoring system, which was designed to measure the methodological quality of randomized controlled trials.
The PEDro scale is an 11-item scale with a maximum score of 10. If a study was rated at least 4, it would be considered as moderate to high quality. 14 Quality assessment for each study was done by two independent reviewers, and any disagreement was resolved upon discussion involving a third reviewer. 15 Data Extraction and Analysis
We extracted the following data from the selected studies: study design, intervention, number of participants, characteristics of participants, outcome measures (mean, standard deviation) for pain intensity, as well as depression and anxiety of treatment group and control group. Two independent reviewers searched for articles relevant to this
meta-analysis and extracted information from the studies independently. A third reviewer participated in discussions and made decisions on any discrepancies. The reviewers were among the authors, whereas the author in charge of statistical analysis did not participate in the literature screening to avoid manipulation of data.
Analyses were conducted for the outcomes at posttreatment and follow-up.
I 2 statistic was used to measure heterogeneity between included studies, and the value of I 2 > 50% indicates significant statistical heterogeneity. To adequately account for the additional uncertainty associated with variability between studies, a random effect model was applied. We used the standardized mean difference (SMD) to report treatment effect as there were different assessment scales for pain intensity, depression, and anxiety. 16 A predetermined sensitivity analysis was performed by excluding studies one by one to explore the effect of each selected study on overall estimates. 12 If the pooled effect remained unaltered after each study was removed respectively, the results will be considered relatively credible. Begg’s test, 17 a regular statistical test for detecting publication bias, was used to identify the publication bias. All 18,19 P values were calculated using a two-sided test and P < 0.05 was considered statistically significant. Data analysis was performed using STATA 12.0 (StataCorp LP, College Station, TX). RESULTS
A total of 318 potentially eligible studies were identified, of which 11 studies met the inclusion criteria, including eight RCTs
and three cross-over RCTs. 20–27 The flowchart of study selection is presented in 28–30 Figure 1. All selected studies compared an active NIBS group with a sham group. The intervention of these studies included rTMS (four trials), tDCS (six trials), 20,22,27,28 and CES (one trials). 21,23,24,26,29,30 The characteristics of selected studies concerning design, participants, intervention, and outcome are presented in 25 Table 1. Soler et al. randomized subjects into four groups: tDCS, tDCS plus visual illusion, visual illusion only, and sham tDCS, and we only extracted the data from the tDCS group and sham tDCS group. There were different washout periods for cross-over trials, 12 wks in Kang et al 26 ., 4 wks in Wrigley et al., 28 and 1 wk in Ngernyam et al. 29 Sample sizes ranged from 10 to 105 participants, and males predominated in them. The average age ranged from 35.7 to 56.1 yrs. Details of treatment protocol are showed in 30 Table 1. All of the included studies on rTMS used a figure-of-eight coil on the head with different stimulation parameters and duration, whereas the six tDCS studies, except Thibaut et al., applied the same positioning of stimulation and parameters. All included studies measured pain intensity as the primary outcome, and five studies measured depression and/or anxiety as secondary outcomes. 23 20–22,25,29 FIGURE 1:
The Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2009 flow diagram.
Profiles of included studies
The pooled analysis demonstrated no significant effect of rTMS, tDCS, or CES on pain reduction after treatment in individuals with NP after SCI (
Fig. 2A). Four rTMS studies used different scales to measure pain intensity, three 20,22,27,28 used visual analog scale (VAS) and the other 20,22,27 applied numeric rating scale (NRS). No significant effect was detected in the effect of rTMS versus sham groups on pain intensity immediately after treatment (SMD = −0.03; 95% confidence interval [CI] = −1.45 to 1.39). Likewise, data synthesis of six tDCS studies 28 showed no significant difference in pain reduction (SMD = −0.37; 95% CI = −0.84 to 0.10). Meanwhile, only one study 21,23,24,26,29,30 examined the effect of CES versus sham group, and the result indicated no significant effect (SMD = 0.00; 95% CI = −0.39 to 0.39). Similarly, no beneficial effect was found in the effect of NIBS on pain reduction at follow-up ( 25 Fig. 2B). FIGURE 2:
Forest plot of SMD in pain intensity for comparing NIBS versus control in subjects with post-SCI NP immediately after stimulation (A) and follow-up (B).
Our data in
Figure 3 showed no heterogeneity with I 2 of 0% in each pooled analysis, which means the effects of different NIBS on depression and anxiety are statistically consistent. Therefore, we combined all forms of NIBS in the data synthesis while labeling the type of each study for subgroup analysis ( Fig. 3). As a result, NIBS showed no significant effect on depression after treatment (SMD = 0.21; 95% CI = −0.10 to 0.52, Fig. 3A), but it revealed a significant effect on anxiety levels after treatment (SMD = 0.47; 95% CI = 0.12 to 0.82; Fig. 3A). Subgroup analysis suggested that only CES showed significant improvement of anxiety levels immediately after treatment (SMD = 0.45; 95% CI = 0.06 to 0.84), whereas rTMS and tDCS did not yield positive results. In addition, no significant difference was observed on depression (SMD = 0.62; 95% CI = −0.22 to 1.47; Fig. 3B) and anxiety (SMD = 0.44; 95% CI = −0.32 to 1.20; Fig. 3B) at follow-up. FIGURE 3:
Forest plot of SMD in depression and anxiety for comparing NIBS versus control in subjects with post-SCI NP immediately after stimulation (A) and follow-up (B).
As shown in
Figure 4, the point estimates after excluding one study at a time were unanimously within the pooled effect of all studies, indicating that these data are relatively credible. The results of Begg’s test ( Fig. 5) indicates a low risk of publication bias ( P > 0.1). Individual P value for each Begg’s test was presented in Table 2. FIGURE 4:
Sensitivity analysis of each included study. A, Pain intensity immediately after stimulation. B, Pain intensity at follow-up. C, Depression and anxiety immediately after stimulation. D, Depression and anxiety at follow-up.
Begg’s funnel plots of the publication bias. A, Pain intensity immediately after stimulation. B, Pain intensity at follow-up. C, Depression and anxiety immediately after stimulation. D, Depression and anxiety at follow-up.
Results of Begg's test for each
Results of our study indicate that three types of NIBS (rTMS, tDCS, and CES) have no significant effects over sham stimulation on post-SCI NP reduction. Meanwhile, the current
meta-analysis showed that showed that overall NIBS may not improve the levels of depression in these individuals. However, CES might be beneficial for improving anxiety immediately after treatment. These results challenged the routine use of NIBS in post-SCI NP.
In a previous
meta-analysis of three trials, no benefits of rTMS over sham control was observed in treating chronic pain after SCI. An updated 31 meta-analysis published in 2017 showed that rTMS had a beneficial effect on pain reduction over sham stimulation, but the results were not statistically significant. Likewise, our 32 meta-analysis of four selected RCTs concluded that rTMS may not help reduce NP after SCI. Among the selected studies, only one study showed a significant effect of rTMS versus sham control after treatment, whereas greater pain reduction was observed in the sham stimulation group in the study by Defrin et al. 22 Despite discrepancies across individual studies, the results of these two meta-analyses showed no favorable effect of rTMS on pain reduction in subjects with NP after SCI. Consistent with previous studies, our data do not support the routine use of rTMS for post-SCI NP in clinical settings. 20
meta-analysis by Boldt et al. showed favorable effects of tDCS over sham stimulation in pain reduction at short- and mid-term (follow-up of 16–38 days after intervention), but the 31 meta-analysis included only two studies. Mehta et al. 21,26 included five studies 11 and conducted an updated 21,24,26,29,30 meta-analysis on the effects of tDCS. As a result, a moderate effect of tDCS was observed in reducing NP among individuals with SCI posttreatment, but not maintained at follow-up. However, the study used the fixed effect model without considering data variability across different studies, which compromised the reliability of the significant effect of tDCS. According to the Cochrane Handbook 5.10, a fixed effect model is only appropriate under the circumstance that no significant heterogeneity was present across studies. With a random effect model, the standard errors of the study-specific estimates can be adjusted to incorporate a measure of heterogeneity, resulting in a more conservative pooled effect. 12 Given that Mehta et al. 12 did not specify the 11 I 2 statistic, which represents heterogeneity in the forest plot, we extracted the data (SMD and CI) from the published figure examining the immediate effect of tDCS on pain reduction and reproduced the meta-analytic result in Stata 12.0. Then, we found that there was significant heterogeneity ( I 2 > 50%) among the data across included trials (Supplementary Fig. 1A, Supplemental Digital Content 2, ). Interestingly, no significant effect of tDCS was observed after we took the heterogeneity into consideration and applied a random effect model for recalibration (Supplementary Fig. 1B, Supplemental Digital Content 2, https://links.lww.com/PHM/A981 ). Transcranial direct current stimulation was not beneficial over control in treating NP after SCI. Consistent with previous data, our study showed that tDCS has no significant effect in reducing NP after SCI. Likewise, only one study https://links.lww.com/PHM/A981 explored the effectiveness of CES for NP in persons with SCI in this 25 meta-analysis and the result had no significant effects of CES on pain reduction.
In addition, we investigated the effects of NIBS on depression and anxiety, which has been long thought to be closely related to chronic pain.
We performed data synthesis with all forms of NIBS included because there was no heterogeneity detected ( 33,34 I 2 = 0). Our consistent data indicated that different forms of NIBS do not improve depression, but it had a significant effect on anxiety posttreatment. Subgroup analysis revealed that only CES significantly improved the anxiety levels in individuals with post-SCI NP as compared with sham stimulation, whereas other forms of NIBS (rTMS and tDCS) did not. Although the CES study involved a total of 105 individuals, the positive effect of CES is subject to further validation. The mechanism by which CES reduced anxiety levels may be the result of the increased release of serotonin, endorphins, melatonin, and the concentration of γ-aminobutyric acid after stimulation. 35,36
The present study has been the first
meta-analysis investigating the effects of overall NIBS in the treatment of post-SCI NP. Within the present study, we also conducted updated meta-analyses for rTMS, tDCS, and CES, respectively. A random effect model was applied in our analysis to account for the heterogeneity across different studies. Furthermore, a sensitivity analysis that excluded each trial at a time did not alter the results. The results of Begg’s test indicated a low risk of publication bias among included studies with P values higher than 0.1. Therefore, our results were statistically robust.
However, there are some limitations in the current
meta-analysis. In total, 11 studies were included but only a very small number was evaluated for each type of stimulation, limiting the statistical power of the results. Meanwhile, variability existed on stimulation parameters and treatment sessions, which may impact the pooled effect of NIBS to some extent. Participants in most of the included studies were predominantly male, so that the generalizability of the results across gender may be compromised. Furthermore, only studies that contained pain as an outcome were included, whereas those only examined anxiety and depression may have been missed. CONCLUSIONS
In the current
meta-analysis, no beneficial effect of NIBS was observed on pain relief in individuals with NP after SCI. Likewise, NIBS showed no beneficial effect in reducing depression levels, while it might be useful for short-term management of anxiety in these individuals. Among the three forms of NIBS, only CES yielded a significant immediate effect on the reduction of anxiety levels. These findings do not support the routine use of NIBS for NP in individuals with SCI. REFERENCES
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