The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Has repetitive transcranial magnetic stimulation (rTMS) treatment for depression improved? A systematic review and meta‐analysis comparing the recent vs. the earlier rTMS studies
Abstract
Objective: To investigate whether the recent repetitive transcranial magnetic stimulation (rTMS) studies on depression using new parameters of stimulation have shown improved clinical results. Method: We performed a systematic review and a meta‐analysis of the rTMS studies on depression published in the past 12 months comparing these results with an earlier meta‐analysis that analyzed the results of the initial rTMS studies on depression. Results: Using our inclusion criteria, we selected the meta‐analysis of Martin [Br J Psychiatry (2003) Vol. 182, 480–491] that included 13 studies (324 patients) and five studies for the recent meta‐analysis (274 patients). The pooled effect size (standardized mean difference between pretreatment vs. post‐treatment) from the random effects model was −0.76 (95% confidence interval, CI, −1.01 to −0.51). This result was significantly larger than that of the earlier meta‐analysis (−0.35, 95% CI −0.66 to −0.04). Conclusion: Our findings suggest that recent rTMS clinical trials have shown larger antidepressant effects when compared with the earlier studies.
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Cites
Meta-analysis: Principles and procedures
Egger, M., Smith, G. D., & Phillips, A. N. (1997) · BMJ · doi:10.1136/bmj.315.7121.1533 · Cited by 2,415
Deeks, J. J., Altman, D. G., & Bradburn, M. J. (2001) · Systematic Reviews in Health Care · doi:10.1002/9780470693926.ch15 · Cited by 2,163
Changes in regional cerebral blood flow on recovery from depression
Bench, C. J., Frackowiak, R. S. J., & Dolan, R. J. (1995) · Psychological Medicine · doi:10.1017/s0033291700036151 · Cited by 351
Cited by
Lefaucheur, J.-P., André-Obadia, N., Antal, A., Ayache, S. S., Baeken, C., Benninger, D. H., Cantello, R. M., Cincotta, M., de Carvalho, M., De Ridder, D., et al. (2014) · Clinical Neurophysiology · doi:10.1016/j.clinph.2014.05.021 · Cited by 2,119
Berlim, M. T., van den Eynde, F., Tovar-Perdomo, S., & Daskalakis, Z. J. (2014) · Psychological Medicine · doi:10.1017/s0033291713000512 · Cited by 620
Schutter, D. J. L. G. (2009) · Psychological Medicine · doi:10.1017/s0033291708003462 · Cited by 371
Lisanby, S. H., Husain, M. M., Rosenquist, P. B., Maixner, D., Gutierrez, R., Krystal, A., Gilmer, W., Marangell, L. B., Aaronson, S., Daskalakis, Z. J., et al. (2009) · Neuropsychopharmacology · doi:10.1038/npp.2008.118 · Cited by 333
Cognitive-behavioral therapy increases prefrontal cortex gray matter in patients with chronic pain
Seminowicz, D. A., Shpaner, M., Keaser, M. L., Krauthamer, G. M., Mantegna, J., Dumas, J. A., Newhouse, P. A., Filippi, C. G., Keefe, F. J., & Naylor, M. R. (2013) · The Journal of Pain · doi:10.1016/j.jpain.2013.07.020 · Cited by 305
“In depression, high-frequency repetitive transcranial magnetic stimulation is generally more effective on the left side.(22) Likewise, previous work showed functional and structural changes primarily in the left DLPFC after peripheral interventions to relieve chronic low back pain.”
Background
Metadata
- Authors
- Gross, M., Nakamura, L., Pascual‐Leone, A., & Fregni, F.
- Venue
- Acta Psychiatrica Scandinavica
- Publisher
- Wiley
- Published
- 2007-07-07
- Volume
- 116
- Issue
- 3
- Pages
- 165-173
- ISSN
- 0001-690X (ISSN-L)
- 1600-0447
- OpenAlex
- W2171771351
- Cited by
- 279
- References
- 3
- FWCI
- 1.87
- Type
- journal article
- Language
- en
- Open access
- closed
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- Gross, M., Nakamura, L., Pascual‐Leone, A., & Fregni, F. (2007). Has repetitive transcranial magnetic stimulation (rTMS) treatment for depression improved? A systematic review and meta‐analysis comparing the recent vs. the earlier rTMS studies. Acta Psychiatrica Scandinavica. https://doi.org/10.1111/j.1600-0447.2007.01049.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
