Repetitive Transcranial Magnetic Stimulation for the Acute Treatment of Major Depressive Episodes: A Systematic Review With Network Meta-analysis
Abstract
Importance Although several strategies of repetitive transcranial magnetic stimulation (rTMS) have been investigated as treatment of major depressive disorder (MDD), their comparative efficacy and acceptability is unknown. Objective To establish the relative efficacy and acceptability of the different modalities of rTMS used for MDD by performing a network meta-analysis, obtaining a clinically meaningful treatment hierarchy. Data sources PubMed/MEDLINE, EMBASE, PsycInfo, and Web of Science were searched up until October 1, 2016. Study selection Randomized clinical trials that compared any rTMS intervention with sham or another rTMS intervention. Trials performing less than 10 sessions were excluded. Data extraction and synthesis Two independent reviewers used standard forms for data extraction and quality assessment. Random-effects, standard pairwise, and network meta-analyses were performed to synthesize data. Main outcomes and measures Response rates and acceptability (dropout rate). Remission was the secondary outcome. Effect sizes were reported as odds ratios (ORs) with 95% CIs. Results Eighty-one studies (4233 patients, 59.1% women, mean age of 46 years) were included. The interventions more effective than sham were priming low-frequency (OR, 4.66; 95% CI, 1.70-12.77), bilateral (OR, 3.96; 95% CI, 2.37-6.60), high-frequency (OR, 3.07; 95% CI, 2.24-4.21), θ-burst stimulation (OR, 2.54; 95% CI, 1.07-6.05), and low-frequency (OR, 2.37; 95% CI, 1.52-3.68) rTMS. Novel rTMS in…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The decision to compare TBS with standard bilateral TMS rather than sham was based on network meta-analytic findings supporting bilateral standard TMS over sham treatment and the widespread use of bilateral standard TMS in the community setting.
“The decision to compare TBS with standard bilateral TMS rather than sham was a recognition of network meta-analytic findings supporting bilateral standard TMS over sham treatment34,35 as well as the widespread use of bilateral standard TMS in the community setting.37”
Standard bilateral rTMS has been shown to be efficacious in multiple clinical trials and was one of the most effective rTMS protocols in 2 recent network meta-analyses.
“Standard bilateral rTMS has been shown to be efficacious in multiple clinical trials and was one of the most effective rTMS protocols in 2 recent network meta-analyses.34,35”
Cites
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763 · see citing works
Ferrari, A. J., Charlson, F. J., Norman, R. E., Patten, S. B., Freedman, G., Murray, C. J. L., Vos, T., & Whiteford, H. A. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001547 · Cited by 3,115 · see citing works
Interpretation of random effects meta-analyses
Riley, R. D., Higgins, J. P. T., & Deeks, J. J. (2011) · BMJ · doi:10.1136/bmj.d549 · Cited by 2,884 · see citing works
Checking consistency in mixed treatment comparison meta-analysis
Dias, S., Welton, N. J., Caldwell, D. M., & Ades, A. E. (2010) · Statistics in Medicine · doi:10.1002/sim.3767 · Cited by 2,521 · see citing works
Graphical tools for network meta-analysis in STATA
Chaimani, A., Higgins, J. P. T., Mavridis, D., Spyridonos, P., & Salanti, G. (2013) · PLoS ONE · doi:10.1371/journal.pone.0076654 · Cited by 2,473 · see citing works
Self-citationSalanti, G. (2012) · Research Synthesis Methods · doi:10.1002/jrsm.1037 · Cited by 1,729 · see citing works
Evaluating the quality of evidence from a network meta-analysis
Salanti, G., Del Giovane, C., Chaimani, A., Caldwell, D. M., & Higgins, J. P. T. (2014) · PLoS ONE · doi:10.1371/journal.pone.0099682 · Cited by 1,402 · see citing works
Self-citationMayberg, H. S., Brannan, S. K., Tekell, J. L., Silva, J. A., Mahurin, R. K., McGinnis, S., & Jerabek, P. A. (2000) · Biological Psychiatry · doi:10.1016/s0006-3223(00)01036-2 · Cited by 1,115 · see citing works
Bupropion-SR, Sertraline, or Venlafaxine-XR after Failure of SSRIs for Depression
Rush, A. J., Trivedi, M. H., Wisniewski, S. R., Stewart, J. W., Nierenberg, A. A., Thase, M. E., Ritz, L., Biggs, M. M., Warden, D., Luther, J. F., et al. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa052963 · Cited by 1,033 · see citing works
Metan: fixed- and random-effects meta-analysis
Harris, R. J., Deeks, J. J., Altman, D. G., Bradburn, M. J., Harbord, R. M., & Sterne, J. A. C. (2008) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x0800800102 · Cited by 1,027 · see citing works
Turner, R. M., Davey, J., Clarke, M. J., Thompson, S. G., & Higgins, J. P. (2012) · International Journal of Epidemiology · doi:10.1093/ije/dys041 · Cited by 837 · see citing works
Jansen, J. P., & Naci, H. (2013) · BMC Medicine · doi:10.1186/1741-7015-11-159 · Cited by 656 · see citing works
Turner, L., Shamseer, L., Altman, D. G., Schulz, K. F., & Moher, D. (2012) · Systematic Reviews · doi:10.1186/2046-4053-1-60 · Cited by 628 · see citing works
Parikh, S. V., Quilty, L. C., Ravitz, P., Rosenbluth, M., Pavlova, B., Grigoriadis, S., Velyvis, V., Kennedy, S. H., Lam, R. W., MacQueen, G. M., et al. (2016) · The Canadian Journal of Psychiatry · doi:10.1177/0706743716659418 · Cited by 562 · see citing works
Levkovitz, Y., Isserles, M., Padberg, F., Lisanby, S. H., Bystritsky, A., Xia, G., Tendler, A., Daskalakis, Z. J., Winston, J. L., Dannon, P., et al. (2015) · World Psychiatry · doi:10.1002/wps.20199 · Cited by 442 · see citing works
Self-citationBakker, N., Shahab, S., Giacobbe, P., Blumberger, D. M., Daskalakis, Z. J., Kennedy, S. H., & Downar, J. (2015) · Brain Stimulation · doi:10.1016/j.brs.2014.11.002 · Cited by 306 · see citing works
Self-citationFitzgerald, P. B., Hoy, K., Daskalakis, Z. J., & Kulkarni, J. (2009) · Depression and Anxiety · doi:10.1002/da.20454 · Cited by 147 · see citing works
Self-citationBlumberger, D. M., Mulsant, B. H., Fitzgerald, P. B., Rajji, T. K., Ravindran, A. V., Young, L. T., Levinson, A. J., & Daskalakis, Z. J. (2012) · The World Journal of Biological Psychiatry · doi:10.3109/15622975.2011.579163 · Cited by 118 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Lefaucheur, J.-P., Aleman, A., Baeken, C., Benninger, D. H., Brunelin, J., Di Lazzaro, V., Filipović, S. R., Grefkes, C., Hasan, A., Hummel, F. C., et al. (2020) · Clinical Neurophysiology · doi:10.1016/j.clinph.2019.11.002 · Cited by 2,382 · see citing works
Gusenbauer, M., & Haddaway, N. R. (2020) · Research Synthesis Methods · doi:10.1002/jrsm.1378 · Cited by 2,379 · see citing works
Blumberger, D. M., Vila-Rodriguez, F., Thorpe, K. E., Feffer, K., Noda, Y., Giacobbe, P., Knyahnytska, Y., Kennedy, S. H., Lam, R. W., Daskalakis, Z. J., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)30295-2 · Cited by 1,363 · see citing works
Self-citationMalhi, G. S., Bell, E., Bassett, D., Boyce, P., Bryant, R., Hazell, P., Hopwood, M., Lyndon, B., Mulder, R., Porter, R., et al. (2021) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867420979353 · Cited by 614 · see citing works
<p>Management of Treatment-Resistant Depression: Challenges and Strategies</p>
Voineskos, D., Daskalakis, Z. J., & Blumberger, D. M. (2020) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s198774 · Cited by 446 · see citing works
Self-citationMutz, J., Vipulananthan, V., Carter, B., Hurlemann, R., Fu, C. H. Y., & Young, A. H. (2019) · BMJ · doi:10.1136/bmj.l1079 · Cited by 427 · see citing works
Nikolin, S., Tan, Y. Y., Schwaab, A., Moffa, A., Loo, C. K., & Martin, D. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.01.084 · Cited by 205 · see citing works
Self-citationKaster, T. S., Daskalakis, Z. J., Noda, Y., Knyahnytska, Y., Downar, J., Rajji, T. K., Levkovitz, Y., Zangen, A., Butters, M. A., Mulsant, B. H., et al. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0121-x · Cited by 174 · see citing works
Self-citationBlumberger, D. M., Mulsant, B. H., Thorpe, K. E., McClintock, S. M., Konstantinou, G. N., Lee, H. H., Nestor, S. M., Noda, Y., Rajji, T. K., Trevizol, A. P., et al. (2022) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2022.2862 · Cited by 142 · see citing works
Self-citationIseger, T. A., van Bueren, N. E. R., Kenemans, J. L., Gevirtz, R., & Arns, M. (2020) · Brain Stimulation · doi:10.1016/j.brs.2019.10.006 · Cited by 142 · see citing works
The Insula: A Brain Stimulation Target for the Treatment of Addiction
Ibrahim, C., Rubin-Kahana, D. S., Pushparaj, A., Musiol, M., Blumberger, D. M., Daskalakis, Z. J., Zangen, A., & Le Foll, B. (2019) · Frontiers in Pharmacology · doi:10.3389/fphar.2019.00720 · Cited by 133 · see citing works
Self-citationPersonalized machine learning of depressed mood using wearables
Shah, R. V., Grennan, G., Zafar-Khan, M., Alim, F., Dey, S., Ramanathan, D., & Mishra, J. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01445-0 · Cited by 123 · see citing works
Morriss, R., Briley, P. M., Webster, L., Abdelghani, M., Barber, S., Bates, P., Brookes, C., Hall, B., Ingram, L., Kurkar, M., et al. (2024) · Nature Medicine · doi:10.1038/s41591-023-02764-z · Cited by 122 · see citing works
Trapp, N. T., Purgianto, A., Taylor, J. J., Singh, M. K., Oberman, L. M., Mickey, B. J., Youssef, N. A., Solzbacher, D., Zebley, B., Cabrera, L. Y., et al. (2025) · Clinical Neurophysiology · doi:10.1016/j.clinph.2024.12.015 · Cited by 89 · see citing works
Voigt, J. D., Leuchter, A. F., & Carpenter, L. L. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01441-4 · Cited by 78 · see citing works
McGirr, A., Vila-Rodriguez, F., Cole, J., Torres, I. J., Arumugham, S. S., Keramatian, K., Saraf, G., Lam, R. W., Chakrabarty, T., & Yatham, L. N. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2021.0963 · Cited by 76 · see citing works
Optimal Treatment of Depression and Anxiety in Parkinson's Disease
Pontone, G. M., & Mills, K. A. (2021) · The American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2021.02.037 · Cited by 67 · see citing works
Transcranial Magnetic Stimulation for Adolescent Depression
Croarkin, P. E., & MacMaster, F. P. (2019) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/j.chc.2018.07.003 · Cited by 65 · see citing works
Aaronson, S. T., Carpenter, L. L., Hutton, T. M., Kraus, S., Mina, M., Pages, K., Shi, L., West, W. S., & Sackeim, H. A. (2022) · Brain Stimulation · doi:10.1016/j.brs.2022.01.006 · Cited by 50 · see citing works
Neuro-Cardiac-Guided TMS (NCG TMS): A replication and extension study
Iseger, T. A., Padberg, F., Kenemans, J. L., van Dijk, H., & Arns, M. (2021) · Biological Psychology · doi:10.1016/j.biopsycho.2021.108097 · Cited by 41 · see citing works
Tachyphylaxis in major depressive disorder: A review of the current state of research
Kinrys, G., Gold, A. K., Pisano, V. D., Freeman, M. P., Papakostas, G. I., Mischoulon, D., Nierenberg, A. A., & Fava, M. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.10.357 · Cited by 45 · see citing works
Qiu, H., Liang, K., Lu, L., Gao, Y., Li, H., Hu, X., Xing, H., Huang, X., & Gong, Q. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.09.060 · Cited by 41 · see citing works
Liu, C., Li, L., Li, B., Liu, Z., Xing, W., Zhu, K., Jin, W., Lin, S., Tan, W., Ren, L., et al. (2024) · Neuromodulation: Technology at the Neural Interface · doi:10.1016/j.neurom.2023.08.009 · Cited by 17 · see citing works
Targeted neural network interventions for auditory hallucinations: Can TMS inform DBS?
Taylor, J. J., Krystal, J. H., D'Souza, D. C., Gerrard, J. L., & Corlett, P. R. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2017.09.020 · Cited by 5 · see citing works
- Authors
- Brunoni, A. R., Chaimani, A., Moffa, A. H., Razza, L. B., Gattaz, W. F., Daskalakis, Z. J., & Carvalho, A. F.
- Affiliations
- Service of Interdisciplinary Neuromodulation, Department and Institute of Psychiatry, Laboratory of Neurosciences (LIM-27), University of São Paulo, São Paulo, Brazil2Interdisciplinary Center for Applied Neuromodulation University Hospital, University of São Paulo, São Paulo, Brazil
- University of Ioannina (GR)
- Universidade de São Paulo (BR)
- Interdisciplinary Center for Applied Neuromodulation University Hospital, University of São Paulo, São Paulo, Brazil
- University of Toronto (CA)
- Universidade Federal do Ceará (BR)
- Venue
- JAMA Psychiatry
- Publisher
- American Medical Association (AMA)
- Published
- 2017-02-01
- Volume
- 74
- Issue
- 2
- Pages
- 143
- ISSN
- 2168-622X (ISSN-L)
- OpenAlex
- W2562220447
- Cited by
- 520
- References
- 18
- Citations by year
- 2026: 55 · 2025: 66 · 2024: 62 · 2023: 47 · 2022: 73 · 2021: 57 · 2020: 42 · 2019: 68 · 2018: 34 · 2017: 16
- FWCI
- 21.55
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAMA Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Health Sciences › Medicine › Psychiatry and Mental health › Electroconvulsive Therapy Studies
- Keywords
- repetitive transcranial magnetic stimulation, major depressive disorder, acute treatment, low-frequency rTMS, high-frequency rTMS, theta burst stimulation, treatment response, remission, treatment acceptability, dropout rates, treatment hierarchy
- MeSH terms
- Acute Disease, Adult, Major Depressive Disorder, Female, Humans, Male, Middle Aged, Patient Acceptance of Health Care, Randomized Controlled Trials as Topic, Treatment Outcome, Transcranial Magnetic Stimulation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review