Comparative efficacy and acceptability of electroconvulsive therapy versus repetitive transcranial magnetic stimulation for major depression: A systematic review and multiple-treatments meta-analysis

Comparative efficacy and acceptability of electroconvulsive therapy versus repetitive transcranial magnetic stimulation for major depression: A systematic review and multiple-treatments meta-analysis

Accepted Manuscript Title: Comparative Efficacy and Acceptability of Electroconvulsive Therapy versus Repetitive Transcranial Magnetic Stimulation for...

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Accepted Manuscript Title: Comparative Efficacy and Acceptability of Electroconvulsive Therapy versus Repetitive Transcranial Magnetic Stimulation for Major Depression: a Systematic Review and Multiple-Treatments Meta-Analysis Author: Jian-jun Chen Li-bo Zhao Yi-yun Liu Song-hua Fan Peng Xie PII: DOI: Reference:

S0166-4328(16)30805-1 http://dx.doi.org/doi:10.1016/j.bbr.2016.11.028 BBR 10568

To appear in:

Behavioural Brain Research

Received date: Revised date: Accepted date:

10-10-2016 11-11-2016 15-11-2016

Please cite this article as: Chen Jian-jun, Zhao Li-bo, Liu Yi-yun, Fan Songhua, Xie Peng.Comparative Efficacy and Acceptability of Electroconvulsive Therapy versus Repetitive Transcranial Magnetic Stimulation for Major Depression: a Systematic Review and Multiple-Treatments Meta-Analysis.Behavioural Brain Research http://dx.doi.org/10.1016/j.bbr.2016.11.028 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Comparative Efficacy and Acceptability of Electroconvulsive Therapy versus Repetitive Transcranial Magnetic Stimulation for Major Depression: a Systematic Review and Multiple-Treatments Meta-Analysis

Jian-jun Chen1,2,3,4,5,6, Li-bo Zhao6,7, Yi-yun Liu1,2,6,8, Song-hua Fan1,2,6,8, Peng Xie1,2,6,7,8,#

1Institute

of Neuroscience, Chongqing Medical University

2Chongqing 3Institute

Key Laboratory of Neurobiology, Chongqing Medical University

of Life Sciences, Chongqing Medical University

4Department 5Canada

of Obstetrics and Gynecology, the First Affiliated Hospital of Chongqing Medical University

- China -New Zealand Joint Laboratory of Maternal and Fetal Medicine, Chongqing Medical University

6Institute

of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University

7Department

of Neurology, Yongchuan Hospital of Chongqing Medical University

8Department

of Neurology, the First Affiliated Hospital of Chongqing Medical University,

#corresponding

author:

Professor Peng Xie Department of Neurology The First Affiliated Hospital at Chongqing Medical University, 1 Yixueyuan Road, Yuzhong District, Chongqing 400016, China Tel.: +86-23-68485490 Fax: +86-23-68485111 E-mail: [email protected]

Highlights 1. ECT was the most efficacious, but least tolerated. 2. R-rTMS was the best tolerated treatment for MDD. 3. B-rTMS appears to have the most favorable balance between efficacy and acceptability.

ABSTRACT Backgrounds: The effects of electroconvulsive therapy (ECT) and bilateral, left prefrontal, and right prefrontal repetitive transcranial magnetic stimulation (rTMS) on major depressive disorder (MDD) have not been adequately addressed by previous studies. Here, a multiple-treatments meta-analysis, which incorporates evidence from direct and indirect comparisons from a network of trials, was performed to assess the efficacy and acceptability of these four treatment modalities on MDD. Method: The literature was searched for randomized controlled trials (RCTs) on ECT, bilateral rTMS, and unilateral rTMS for treating MDD up to May 2016. The main outcome measures were response and drop-out rates. Results: Data were obtained from 25 studies consisting of 1288 individuals with MDD. ECT was non-significantly more efficacious than B-rTMS, R-rTMS, and L-rTMS. Left prefrontal rTMS was non -significantly less efficacious than all other treatment modalities. In terms of acceptability, R-rTMS was non-significantly better tolerated than ECT, BrTMS, and L-rTMS. ECT was the most efficacious treatment with the cumulative probabilities of being the most efficacious treatment being: ECT (65%), B-rTMS (25%), R-rTMS (8%), and L-rTMS (2%). R-rTMS was the besttolerated treatment with the cumulative probabilities of being the best-tolerated treatment being: R-rTMS (52%), BrTMS (17%), L-rTMS (16%), and ECT (14%). Coherence analysis detected no statistically significant incoherence in any comparisons of direct with indirect evidence for the response rate and drop-out rate. Conclusions: ECT was the most efficacious, but least tolerated, treatment, while R-rTMS was the best tolerated treatment for MDD. B-rTMS appears to have the most favorable balance between efficacy and acceptability. Key words: depression, MDD; meta-analysis; transcranial magnetic stimulation, TMS, rTMS, electroconvulsive therapy, ECT

INTRODUCTION Major depressive disorder (MDD, major depression) is a debilitating mental disorder affecting up to 15% of the general population and accounting for 12.3% of the global burden of disease (1). To date, increasing evidence from biochemical, neuropsychological, postmortem, and neuroimaging studies indicates that MDD is not likely caused by a single brain region or neurotransmitter system, but rather is a system-level disorder affecting several integrated pathways (2, 3). Electroconvulsive therapy (ECT) is a well-established and effective treatment method for MDD superior to both placebo and sham ECT (anesthesia only) (4, 5). Some researchers even consider ECT to be the most effective treatment for MDD (6). Of MDD patients who receive ECT, approximately 70% to 80% show significant improvement (6), and ECT is effective in half of patients with treatment-resistant depression (TRD) (7). However, ECT is complicated by a number of side effects including cognitive impairment; so many patients are reluctant to engage in ECT treatment due to the risks and stigma associated with cognitive side effects, which has motivated attempts at developing treatment alternatives (8). Repetitive Transcranial Magnetic Stimulation (rTMS) is a non-invasive method of brain stimulation for the treatment of patients with serious neuropsychiatric disorders including MDD (9). Unlike ECT, rTMS does not require anesthesia or induction of seizures. RTMS is divided into bilateral rTMS (B-rTMS), left prefrontal rTMS (L-rTMS), and right prefrontal rTMS (R-rTMS) according to the stimulation location. Most studies of rTMS in MDD focus on highfrequency (5-20 Hz) stimulation to the left dorsolateral prefrontal cortex, and L-rTMS has been shown to have positive antidepressive effects (10, 11). Some randomized controlled trials (RCTs) have demonstrated that R-rTMS shows significantly greater improvement in depression scores compared with sham rTMS (12, 13), and our previous research has shown that L-rTMS and R-rTMS have a similar efficacy on MDD patients (14). Moreover, a 2012 systematic review showed that B-rTMS is a promising treatment for MDD (15), and our previous research also found that bilateral and unilateral rTMS had comparable efficacies on MDD patients (16). Hitherto, ECT has been traditionally viewed as the superior treatment modality vis-a-vis rTMS (17), but this conclusion has been primarily based on RCTs of ECT versus L-rTMS. There is still lack of quantitative data comparing the efficacy of ECT versus B-rTMS or R-rTMS in MDD. To this end, although standard meta-analyses are an effective tool, they can only compare two alternative treatments at a time; moreover, if no trials directly compare two interventions, it is impossible to compare their relative efficacies (18). In contrast, multiple treatments meta-analyses use a technique that incorporates evidence from both direct and indirect comparisons from a network of trials of different interventions to better estimate summary treatment effects. Our group used this method to compare the efficacy and tolerability of antidepressants for MDD in children and adolescents, and the results has been published in

Lancet in 2016 (19). Therefore, here we applied a multiple-treatments meta-analysis to compare the efficacy and acceptability of B-rTMS, R-rTMS, L-rTMS, and ECT in the treatment of MDD. METHODS Study Selection This systematic review and meta-analysis was conducted and reported according to the PRISMA statement (http://www.prisma-statement.org/). A comprehensive literature search of RCTs comparing ECT with rTMS was conducted up to May 2016 through the major scientific and medical databases, including international databases (PubMed, CCTR, Web of Science, and Embase) and two Chinese databases (CBM-disc and CNKI). The key search terms were “depression” AND (“transcranial magnetic stimulation” OR “TMS” OR “repetitive TMS” OR “rTMS”) AND (“electroconvulsive therapy” OR “ECT”). No language or publication year limitation was imposed. To avoid omitting relevant trials, conference summaries and reference documents listed in the obtained articles were checked. Among the identified studies, only those meeting the following criteria were selected for subsequent analyses: (i) RCTs comparing one treatment against another (B-rTMS, L-rTMS, R-rTMS, and ECT); (ii) assessing mood by the Hamilton Depression Rating Scale (HDRS), Montgomery-Åsberg Depression Rating Scale (MADRS), or Clinical Global Impression (CGI); (iii) patients over 18 years of age without metallic implants or foreign bodies, dementia, personal or family history of epileptic seizures, severe suicidal risk, organic brain damage, severe agitation or delirium, substance abuse, alcohol or drug dependence, and/or medically unfit for general anesthesia. Studies with pregnant patients were excluded because rTMS and ECT have unclear fetal side effects (20). Studies were excluded if they: (i) had no random allocation; (ii) enrolled subjects with ‘narrow’ depression diagnoses (e.g., postpartum depression) or secondary depression diagnoses (e.g., vascular depression); (iii) used rTMS and ECT concomitantly with a new antidepressant without wash out period; and (iv) case reports and reviews. Data Extraction Two reviewers independently verified all potentially suitable RCTs by the aforementioned inclusion and exclusion criteria and the completeness of data abstraction. Any disagreement was resolved by consensus and, if needed, a third reviewer was consulted. Data retrieved from the included RCTs were recorded in a structured fashion as follows: (i) sample characteristics: mean age, gender, mean depression score, treatment strategy used, presence of TRD; (ii) rTMS parameters: stimulation location, frequency, motor threshold, and duration; (iii) primary outcome measure: response was defined as at least a 50% reduction in the absolute HDRS or MADRS score from baseline, or significant improvement in the CGI, at the conclusion of therapy (21) with a preference for HDRS; and (iv) secondary outcome measure: overall drop-out rates at the study's end. For data that could not be directly retrieved, good faith efforts were applied to obtain the data by dispatching e-mails to the author, researching other studies citing the RCT in question, and

researching associated conference summaries. Bias Risk in Individual Studies Two reviewers independently assessed bias risk of the eligible studies according to the Cochrane handbook. We selected the following items to assess the bias risk: (1) did the authors conduct randomization? (2) did the authors conduct allocation concealment? (3) did the authors conduct blind treatment? and (4) were the baseline clinical characteristics matched between two groups. Studies with three or more ‘NO’ were still excluded. Statistical Analysis In order to make the interpretation of current results easier for clinicians (22), the response rate (a dichotomous primary outcome for efficacy) was used instead of a continuous symptom score. If the baseline scores, standard deviations (SD), and endpoint means were provided instead of the dichotomous efficacy outcomes, we estimated the number of responding patients through a validated imputation method. (23) To perform a clinically sound analysis, we used a worst-case scenario analysis of drop-out patients, assuming all such patients failed to respond to treatment. (24) First, with a random-effects model, we performed a meta-analysis of augmentation agents that had direct comparisons. For each analysis, we assessed heterogeneity using the Chi-square based Q test and I squared index (I2). (25) We performed the analyses using RevMan5.0 software (Cochrane Information Management System [IMS]). Second, we performed multiple-treatment meta-analysis using an arm-based, random-effects model within an empirical Bayes framework using Markov chain Monte Carlo method (26). The model allowed for estimating effect sizes for all possible pair-wise comparisons of augmentation agents. P-values of less than 0.05 were used to assess significance. We also computed and ranked the probabilities for each treatment's efficacy (27). The ranking of the competing treatments was assessed with the median of the posterior distribution for the rank of each treatment. We performed this analysis using WinBUGS (Imperial College and MRC, London, UK) and R v2.15.0 (R Development Core Team, Vienna, Austria). The coherence of an analyzed network – i.e., that indirect and direct evidence on the same comparisons do not disagree beyond chance – is the key assumption behind multiple-treatments meta-analysis. Whenever indirect estimates could be built with a single common comparator, the ratio of odds ratios for indirect vs. direct evidence is calculated to estimate incoherence. The disagreement between direct and indirect evidence with a 95% confidence interval excluding unity is defined as incoherent (24). RESULTS The electronic literature search resulted in 557 potentially relevant studies, of which 25 eligible articles were pooled for analysis (28-52) (Figure 1). Overall, 1288 individuals were randomly assigned to one of the four treatment modalities and were included in the multiple-treatments meta-analysis with all 1288 patients included in the efficacy

analysis (25 studies) and 820 patients included in the acceptability analysis (12 studies). The mean duration of the studies was 3.04 weeks, and the mean sample size was 25.7 participants per group (range: 6–147). The main characteristics of the included RCTs are described (Tables 1 and 2). All the 25 included studies conducted the randomization, two studies did not conduct allocation concealment, seven studies did not conduct blind treatment and the baseline clinical characteristics were matched between two groups in all included studies (Table 2). As these studies displayed minimal or no bias risk, all of them were included in the metaanalysis. Direct comparisons for the four treatment modalities showed no statistically significant differences in response rates between any two treatment modalities (Table 3). However, the odds ratio (OR) non-significantly favored ECT over LrTMS and R-rTMS with pooled ORs of 1.43 [95% confidence interval (CI), 0.92-2.22] and 2.19 (95% CI, 0.72-6.70), respectively. B-rTMS was non-significantly superior to L-rTMS, but non-significantly inferior to R-rTMS, with pooled ORs of 1.70 (95% CI, 0.74-3.92) and 0.93 (95% CI, 0.63-1.37), respectively. R-rTMS was comparably efficacious to LrTMS. These results obtained from 25 independent analyses without adjustment for multiple testing (i.e., about two CIs would be expected to exclude unity by chance alone). For drop-outs, statistically significant differences did not exist between the treatment modalities. Overall, heterogeneity was moderate. In the meta-analyses of direct comparisons, we found no I 2 values higher than 75%. From the multiple-treatments meta-analysis on response rates, ECT was non-significantly more efficacious than BrTMS, R-rTMS and L-rTMS with pooled ORs of 1.27 (95% CI, 0.58-2.61), 1.14 (95% CI, 0.63-1.94), and 1.65 (95% CI, 0.88-2.83), respectively. L-rTMS was non-significantly less efficacious than B-rTMS and R-rTMS with pooled ORs of 0.90 (95% CI, 0.46-1.52) and 0.96 (95% CI, 0.59-1.44), respectively. In terms of acceptability, R-rTMS was nonsignificantly better tolerated than ECT, B-rTMS, and L-rTMS with pooled ORs of 0.47 (95% CI, 0.05-1.39), 0.94 (95% CI, 0.15-2.45), and 0.57 (95% CI, 0.07-1.56), respectively. Coherence analysis detected no statistically significant incoherence in any comparisons of direct with indirect evidence for the response rate and drop-out rate. Figure 2 showed the distribution of probabilities of each treatment modality being ranked at each of four possible positions. ECT was the most efficacious treatment with the cumulative probabilities of being the most efficacious treatment being: ECT (65%), B-rTMS (25%), R-rTMS (8%), and L-rTMS (2%) (Figure 2A). R-rTMS was the besttolerated treatment with the cumulative probabilities of being the best-tolerated treatment being: R-rTMS (52%), BrTMS (17%), L-rTMS (16%), and ECT (14%) (Figure 2B). DISCUSSION Nowadays, metabolomics has been extensively used to identify potential biomarkers for psychiatric disorders (53, 54). Although many works has used metabolomics to identify biomarkers for MDD (55, 56), there are still no objective

methods to diagnose MDD. Besides, there are no treatment methods that could cure MDD with 100% response rate. Here, this multiple-treatments meta-analysis was based on 25 studies consisting of 1288 individuals randomly assigned to ECT, B-rTMS, R-rTMS or L-rTMS for MDD. We retrieved almost all relevant RCTs, and the overlooked literature that were not indexed by international databases were likely to be of low quality and would not significantly affect the results of this review (57). Although the results were statistically non-significant, ECT and L-rTMS were the most efficacious and least efficacious treatments, respectively, and in terms of drop-outs, R-rTMS and ECT were the most tolerated and least tolerated, respectively. These results suggested that the most efficacious treatment, ECT, may not be the best in terms of overall acceptability. Although important outcomes, such as discontinuation symptoms and sideeffects, were not investigated here, B-rTMS appears to be the best choice among the four modalities, as it had the most favorable possible balance between efficacy and acceptability. Interestingly, recent multimodal neuroimaging data showed that B-rTMS might have synergistic therapeutic effects by reversing both the hypo-function in the right DLPFC and the hyper-function in the left DLPFC (58, 59). That being said, the therapeutic application of rTMS involves several parameters (e.g., frequency, resting motor threshold, number of stimuli per day) (60); however, the optimum rTMS protocol based on these parameters has yet to be determined. Therefore, future RCTs should seek to identify and optimize clinically relevant stimulation parameters in order to improve the antidepressant effects of rTMS. Moreover, other subsidiary technologies, such as baseline electrophysiological and/or neuroimaging evaluations, can be used to predict which patient subgroups can particularly benefit from rTMS (61). Although we did not perform a formal cost-effective analysis here, there are studies stating that ECT is more costeffective than rTMS in the treatment of MDD (62, 63). However, in the absence of a complete economic model, this conclusion should not be made unequivocally because several cost components are associated with the use of ECT or rTMS (64). Limitations First, as the ‘5 cm method' for locating the DLPFC has been recently criticized for its inaccuracy (9), future rTMS studies should take advantage of neuronavigation approaches (65). Second, this review only examined efficacy at study end, and thus our conclusion cannot be applied to medium-term or long-term outcomes. Third, patients in the selected RCTs were over 18 years of age, so it is inappropriate to apply these findings to adolescents. Finally, several metaanalyses have been criticized for the inclusion of poor-quality trials and for combining heterogeneous studies. However, our comprehensive and systematic literature search combined with the use of stringent inclusion and exclusion criteria aided in mitigating these concerns. Conclusions

This multiple-treatments meta-analysis comparing the efficacy and acceptability of B-rTMS, R-rTMS, L-rTMS, and ECT in the treatment of MDD showed that: (i) ECT was the most efficacious, but least tolerated, treatment method; (ii) R-rTMS was the best tolerated treatment method; and (iii) B-rTMS appeared to have the most favorable balance between efficacy and acceptability. Further studies, such as well-designed, large-scale, multi-center RCTs directly comparing B-rTMS, R-rTMS, L-rTMS, and ECT, are needed to draw more definitive conclusions. Acknowledgements We thank Dr N. D. Melgiri for editing and proofreading the manuscript. This work was supported by the Natural Science Foundation Project of China (81601208, 31271189, 81200899, 31300917, and 81401140), the National Basic Research Program of China (973 Program, grant no. 2009CB918300), the Fund for Outstanding Young Scholars in Chongqing Medical University (CYYQ201502), and the Chongqing Science & Technology Commission (cstc2014jcyjA10102). Disclosure of conflicts of interest The authors declare no financial or other conflicts of interest.

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9(12): e115221. 54. Chen J, Liu Z, Fan S, et al. Combined application of NMR-and GC-MS-based metabonomics yields a superior urinary biomarker panel for bipolar disorder. Scientific reports, 2014, 4: 5855. 55. Chen J, Zhou C, Liu Z, et al. Divergent urinary metabolic phenotypes between major depressive disorder and bipolar disorder identified by a combined GC–MS and NMR spectroscopic metabonomic approach. Journal of proteome research, 2015, 14(8): 3382-3389. 56. Zheng P, Wang Y, Chen L, et al. Identification and validation of urinary metabolite biomarkers for major depressive disorder. Molecular & Cellular Proteomics, 2013, 12(1): 207-214. 57. Deeks JJ, Altman DG, & Bradburn MJ. Statistical Methods for Examining Heterogeneity and Combining Results from Several Studies in Meta‐Analysis. Systematic Reviews in Health Care: Meta-Analysis in Context, Second Edition, 2008; 285-312. 58. Kito S, Hasegawa T, Koga Y. Neuroanatomical correlates of therapeutic efficacy of low-frequency right prefrontal transcranial magnetic stimulation in treatment-resistant depression. Psychiatry and Clinical Neurosciences, 2011, 65, 175–182. 59. Martinot ML, Martinot JL, Ringuenet D, Galinowski A,Gallarda T, Bellivier F, Lefaucheur JP, Lemaitre H,Artiges E. Baseline

brain

metabolism

in

resistant

depression

and

response

to

transcranial

magneticstimulation.

Neuropsychopharmacology, 2011, 36, 2710–2719. 60. Xie J, Jianjun Chen, Wei Q. Repetitive transcranial magnetic stimulation versus electroconvulsive therapy for major depression: a meta-analysis of stimulus parameter effects. Neurol Res. 2013; 35(10):1084-91. 61. Arns M, Drinkenburg W H, Fitzgerald P B, et al. Neurophysiological predictors of non-response to rTMS in depression. Brain stimulation, 2012, 5(4): 569-576. 62. Knapp M, Romeo R, Mogg A, et al. Cost-effectiveness of transcranial magnetic stimulation vs. electroconvulsive therapy for severe depression: a multi-centre randomised controlled trial. Journal of affective disorders, 2008, 109(3): 273-285. 63. McLoughlin D M, Mogg A, Eranti S, et al. The clinical effectiveness and cost of repetitive transcranial magnetic stimulation versus electroconvulsive therapy in severe depression: a multicentre pragmatic randomised controlled trial and economic analysis. Health technology assessment (Winchester, England), 2007, 11(24): 1-54. 64. Le Lay A, Despiegel N, François C, Duru G. Can discrete event simulation be of use in modelling major depression? Cost Effectiveness and Resource Allocation, 2006; 4(1):19. 65. Schönfeldt-Lecuona C, Lefaucheur JP, Cardenas-Morales L, Wolf R, Kammer T, & Herwig U. The value of neuronavigated rTMS for the treatment of depression. Neurophysiologie Clinique/ Clinical Neurophysiology, 2010; 40: 37-43.

Figure 1 Flow Chart of Study Selection The electronic literature search resulted in 557 potentially relevant studies, of which 25 eligible articles were pooled for analysis.

Figure 2 Rankings for Efficacy and Acceptability The distribution of probabilities of each treatment modality was ranked at each of four possible positions. (A) ECT was the most efficacious treatment with the cumulative probabilities of being the most efficacious treatment being: ECT (65%), B-rTMS (25%), R-rTMS (8%), and L-rTMS (2%). (B) R-rTMS was the best-tolerated treatment with the cumulative probabilities of being the best-tolerated treatment being: R-rTMS (52%), B-rTMS (17%), L-rTMS (16%), and ECT (14%).

TABLE LEGENDS

Table 1 Demographic and Clinical characteristics of Included Subjects Female/

Mean age,

Mean MDD

Primary

male, n

yrs (S.D.)

score (S.D.)

diagnosis

48.9 (13.4) vs.

26.0 (3.3) vs. 25.1

All MDD

Yb

58.0 (12.5)

(3.8)a

43.4 (12.7) vs.

23.7 (3.8) vs. 24.3

All MDD

Yb Yc

Study

Pairs

n

Blumberger et

L vs. B

22 vs.

12/10

26

14/12

24 vs.

15/9

al., 2012 Fitzgerald

et

L vs. B

al., 2012 Rybak et al.,

L vs. B

vs. vs.

22

14/8

40.4 (15.5)

(3.6)a

9/9

6/3 vs. 6/3

47.0 (12.3) vs.

23.8 (2.4) vs. 23.0

17%

53.4 (13.3)

(4.0)a

83% MDD

45.8 (12.5) vs.

30.8 (6.0) vs. 29.4

48.2 (16.1)

(4.3)d

47.4 (14.1) vs.

21.8 (2.6) vs. 21.5

15%BD,85% MDD All MDD

2005 Conca et al., 2002 Fitzgerald

et

al., 2011 Pallanti et al.,

L vs. B

R vs. B R vs. B

2010 Fitzgerald

et

al., 2013 Hansen et al., 2011

R vs. B R

vs.

ECT

24 vs. 12 71 vs.

16/8 vs. 9/3 47/24

147

vs. 100/47

46.8 (13.7)

20 vs.

12/8

51.2

27.9 (5.9) vs. 28.7

20

11/9

91 vs.

59/32

88

66/22

30 vs.

23/7

30

vs. vs.

19/11

(12.5) vs.

BD,

25% OP

Part

58% MDD

(2.9)a

vs.

17%

BD,

47.6 (12.3)

(6.0)a

46.7 (14.2) vs.

19.5 (4.4) vs. 19.8

22%

48.5 (15.9)

(5.0)a

78% MDD

46.0 (N.A.) vs.

24.0 (N.A.) vs.

52.0 (N.A.)

24.0

TRD

(N.A.)a

BD,

13%

Yb Yb

Yb Y

BD,87% MDD

Eranti et al., 2007 Rosa

L ECT

et

al.

L

2006

ECT

Wang et al.,

L

2004

vs.

et

L

al., 2003

ECT

Janicak et al.,

L

2002

vs.

et

al., 2000 Pridmore

vs. vs.

et

vs. vs.

ECT al.,

2011 Fitzgerald

L

et

L

vs.

al., 2009 Rossini et al.,

2007

et

al.,

8% BD, 92% MDD All MDD

Yb

All MDD

N

All MDD

Yc

68.0 (13.4)

20 vs.

12/8 vs. 7/8

41.8 (10.2) vs.

30.1 (4.7) vs. 32.1

46.0 (10.6)

(5.0) a

18 vs.

N.A.

31.0

20 vs.

14/6

20

15/5

15 vs.

vs.

11/4 vs. 6/5 vs.

(5.0)

vs.

27.8 (3.2) vs. 26.7

32.0 (6.0)

(2.8)a

57.6 (13.7) vs.

24.4 (3.9) vs. 25.5

61.4 (16.6)

(5.9) a

42.8 (12.9) vs.

32.5(6.4)vs.33.4(9

30%

42.7 (14.0)

.0)f

70% MDD

58.4 (15.7) vs.

25.8

20 vs.

12/8

20

14/6

63.6 (15.0)

28.4 (9.3)a

16 vs.

N.A.

44.0 (11.9) vs.

45 vs.

15/30

vs.

(6.1) vs.

25.3 (4.1) vs. 25.8

18%

Yc

41.5 (12.9)

(3.6)a

82% MDD

36.2 (18.8) vs.

26.3 (12) vs. 28.1

43

15/28

35.7 (15.3)

L vs. R

15 vs.

8/7 vs. 5/6

42.4 (11.2) vs.

34.5 (4.9) vs. 33.3

39.6 (10.0)

(3.8)e

L vs. R L vs. R

16 vs. 11

8/7 vs. 3/8

42.1

(9.3)

vs.

33.6 (3.9) vs. 34.3

BD,

All MDD

Y

All MDD

Yb

All MDD

Yb Yc

46.5 (11.4)

(4.9)e

53.6 (11.3) vs.

24.6 (4.5) vs. 24.3

54%

32 vs.

23/9

42

30/12

54.5 (11.8)

(4.4)d

46% MDD

20 vs.

12/8 vs. 7/3

52.7 (10.6) vs.

27.7 (3.5) vs. 27.9

All MDD

52.8 (9.5)

(3.8)d

10

vs.

N Part

ECT

L vs. R

BD,

N

All MDD

(16)d

2010 Stern

23.9 (7.0) vs. 24.8

16/6

11 et

63.6 (17.3) vs.

22

16

al., 2007 Fitzgerald

vs.

(5.0)a

11

ECT

al., 2000 et

L

16/8

18

ECT

Grunhaus,

24 vs.

15

ECT

Grunhaus

Wan

vs.

BD,

Yc

Triggs et al.,

L vs. R

2010

18 vs.

14/4 vs. 9/7

16

Höppner et al.,

L vs. R

2003

10 vs.

7/3 vs. 8/2

10

Eche

et

al.,

L vs. R

6 vs. 8

L vs. R

2005

14 vs.

2/4 vs. 6/2 6/8 vs. 6/8

14

Fitzgerald

et

L vs. R

al., 2003 a17-item

28.2 (6.0) vs. 27.2

48.5 (10.8)

(4.8)f

59.5

(6.8)

Yb

vs.

N.A.

All MDD

N

50.8

(9.4)

vs.

29.8 (6.9) vs. 32.0

All MDD

Yc Yb

46.1 (16.3)

(8.0)e

43.4

25.1 (4.9) vs. 23.9

10%

(6.2)d

90% MDD

36.1 (7.5) vs. 37.7

3% BD, 97%

(8.4)e

MDD

(9.7) vs.

55.6 (9.7)

20 vs.

12/8

20

13/7

vs.

42.2

(9.8)

45.5 (11.5)

vs.

BD,

Yb

Hamilton Depression Rating Scale.

bFailure

to respond to 2 antidepressants in the current major depressive episode.

cFailure

to respond to 1 antidepressants in the current major depressive episode.

d21-item

Hamilton Depression Rating Scale.

eMontgomery–Asberg f24-item

All MDD

52.0 (11.7)

2012 Isenberg et al.,

46.7 (15.3) vs.

Depression Rating Scale.

Hamilton Depression Rating Scale.

Abbreviations: rTMS, repetitive transcranial magnetic stimulation; L, left rTMS; R, right rTMS; B, bilateral rTMS; TRD, treatment-resistant depression; ECT, electroconvulsive therapy; BD, bipolar depression; MDD, major depressive disorder; N.A., information not available; S. D., standard deviation; and OP, other psychosis

Table 2 rTMS Parameters of Included Randomized Controlled Trials Study

Pairs

Blumberger

et

al., 2012 Fitzgerald et al., 2012 Rybak

et

al.,

2005 Conca

et

al.,

2002 Fitzgerald et al., 2011 Pallanti et al., 2010 Fitzgerald et al., 2013 Hansen

et

L vs. B L vs. B R vs. B R vs. B R vs. B

et

al., L

et

L

2004 2003

al., L

2002 2000 2000

Fitzgerald et al., 2007 Fitzgerald et al., 2009 et

al.,

2010

L

vs.

2010

et

al.,

10 Hz vs. 10 Hz L (S) 1 Hz R 1 Hz vs. 1 Hz L (S) 1 Hz R 1 Hz vs. 10 Hz L (S) 1 Hz R 1 Hz vs. 1 Hz R+10 Hz L 1 Hz vs. right

20 Hz vs. N.A

vs.

ECT

Duration

110 vs. 100a 6 weeks 120 vs. 120 3 weeks 110 vs. 110 2 weeks 100 vs. 100 1 weeks 110 vs. 110 4 weeks 110 vs. 110 3 weeks 110 vs. 110 4 weeks

TPPS 1450 vs. 1215 NA 1200 vs. 1200 1300 vs. 1300 900

Y

Y

Y

Y

Augmentation

Y

NA Y

Y

Augmentation

Y

NA Y

Y

Augmentation

Y

NA NA Y

Y

Y

Y

Y

vs.

Y

Y

Y

Y

Y

Y

Y

Y

Augmentation

vs. 84% augmentation,

900

16% monotherapy Augmentation

Y

Y

N

Y

110

2 weeks

1000

Augmentation

Y

Y

N

Y

100

4 weeks

2500

Monotherapy

Y

NA N

Y

70

2 weeks

500

Monotherapy

Y

NA NA Y

90

4 weeks

1200

Monotherapy

Y

N

4 weeks

1000

Y

NA NA Y

Y

NA NA Y

Monotherapyb

Y

Y

N

1500

Augmentation

Y

N

NA Y

Augmentation

Y

NA Y

Y

Y

Y

Y

Augmentation

Y

NA NA Y

100

2 weeks

10 Hz vs. N.A

100

4 weeks

9%

augmentation,

91% monotherapy

400

or 78% augmentation,

1200

22% monotherapy

12001400

L vs. R 10 Hz vs. 1 Hz

100 vs. 110 3 weeks

NA

L vs. R 10 Hz vs. 1 Hz

100 vs. 110 3 weeks

NA

L vs. R 15 Hz vs. 1 Hz

100 vs. 100 2 weeks

L vs. R 5 Hz vs. 5 Hz

Augmentation

NA

20 Hz vs. N.A

Hz

RD AC BT BL

3 weeks

4 weeks

1 Hz or 10 Hz vs. 1

strategy

15% monotherapy

1420 900

Methodology

vs. 85% augmentation,

900 420

Treatment

110

90

bilateral vs.

% rMT

10 Hz vs. bilateral 110

vs. 10 Hz vs. right or

Stern et al., 2007 L vs. R Triggs

(S)10 Hz L

bilateral

ECT

Wan et al., 2011

10 Hz vs. 1 Hz R

vs. 10 Hz vs. right or

ECT

Pridmore et al., L

Rossini

vs.

ECT

Grunhaus, et al., L

(S)10 Hz L

bilateral

ECT et

10 Hz vs. 1 Hz R

vs. 10 Hz vs. right or

ECT

Grunhaus et al., L

(S)10 Hz L

bilateral

ECT

al., L

10 Hz vs. 1 Hz R

vs. 10 Hz vs. right or

ECT

Rosa et al., 2006

Janicak

vs.

ECT

2007

Wang

L vs. B

al., R

2011 Eranti

L vs. B

Frequency

600 600

64% augmentation, 37% monotherapy vs.

N

Y

Y

Y

110 vs. 110 2 weeks

NA

Monotherapy

Y

NA Y

Y

100 vs. 100 2 weeks

NA

Augmentation

Y

NA Y

Y

Höppner et al.,

L vs. R 20 Hz vs. 1 Hz

90 vs. 110 2 weeks

Eche et al., 2012 L vs. R 10 Hz vs. 1 Hz

100 vs. 100 2 weeks

2003

Isenberg et al., 2005 Fitzgerald et al., 2003 a

L vs. R 20 Hz vs. 1 Hz

80 vs. 110 4 weeks

L vs. R 10 Hz vs. 1 Hz

100 vs. 100 4 weeks

NA 2000 vs. 120 NA 1000 vs. 300

Augmentation

Y

Y

NA Y

Augmentation

Y

NA N

Y

Monotherapy

Y

NA N

Yc

Augmentation

Y

Y

Y

Y

120% of the rMT in subjects older than 60 years old.

b Medication

was tapered and ceased where possible; no new medication was commenced in the two weeks before entry

into the study. c Subjects

receiving rTMS treatment on the right side were notably older.

Abbreviations: rTMS, repetitive transcranial magnetic stimulation; TPPS, total pulse per session in rTMS; RD, randomized; AC, allocation concealment; BT, blind treatment; and BL, baseline; L, left rTMS; R, right rTMS; B, bilateral rTMS; ECT, electroconvulsive therapy; rMT, resting motor threshold; (S), sequential; Y, yes; N, no; and NA, not available.

Table 3 Response and dropout rates for efficacy and acceptability in meta-analyses of direct comparisons between each pair of treatment modality Number

Number

Efficacy

Acceptability

of studies

of patients

Response rate

OR (95% CI)

Dropout rate

OR (95% CI)

R

8

265

53/137vs53/128

0.99(0.58,1.69)

7/46vs0/31

3.97(0.63,25.1)

B

4

150

24/81vs23/69

0.52(0.09,3.06)

4/72vs7/60

0.52(0.12,2.15)

ECT

7

262

67/135vs78/127

0.64(0.30,1.38)

4/37vs7/31

0.42(0.11,1.65)

L

8

265

53/128vs53/137

1.01(0.59,1.73)

0/31vs7/46

0.25(0.04,1.59)

B

2

258

46/91vs81/167

1.21(0.72,2.06)

23/71vs36/147

1.48(0.79,2.76)

ECT

1

60

7/30vs12/30

0.46(0.15,1.40)

10/30vs8/30

1.38(0.45,4.17)

L

4

150

23/69vs24/81

1.93(0.33,11.4)

7/60vs4/72

1.94(0.46,8.11)

R

2

258

81/167vs46/91

0.82(0.49,1.40)

36/147vs23/71

0.68(0.36,1.26)

L

7

262

78/127vs67/135

1.55(0.72,3.34)

7/31vs4/37

2.37(0.61,9.27)

R

1

60

12/30vs7/30

2.19(0.72,6.70)

8/30vs10/30

0.73(0.24,2.21)

L vs.

R vs.

B vs.

ECT vs.

rTMS, repetitive transcranial magnetic stimulation; L, left rTMS; R, right rTMS; B, bilateral rTMS; ECT, electroconvulsive therapy; OR, odds ratio; vs., versus; CI, confidence interval.