The Sequenced Treatment Alternatives to Relieve Depression (STAR*D) Trial: A Review
Abstract
Objective The Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial is the largest open-label, pragmatic trial that has been undertaken to examine the treatment of major depressive disorder. At a cost of US$35 million over 6 years, STAR*D sought to test the effectiveness both of pharmacotherapy and of cognitive therapy, and to ascertain whether certain treatments are more optimal after one or more failed trials. Method Patients (n = 2876) who presented to either a psychiatry or family practice setting seeking treatment for depression were included in the STAR*D analysis. In the 4 levels of STAR*D, patients were randomized to various treatment monotherapies, combinations, or augmentation strategies. The primary outcome was remission, based on the Hamilton Depression Rating Scale. Secondary outcomes were response, as measured by clinician and patient self-report as well as various measures of patients' level of function and (or) quality of life. Results Remission rates for treatment levels 1 to 2 and 3 to 4 were 18% to 30% and 7% to 25%, respectively. There was no difference in effectiveness between any treatments at any treatment level. Patients with longer index episodes, more concurrent psychiatric or general medical disorders, and (or) lower measures of baseline function were less likely to achieve remission. There were no major differences between outcomes in patients treated in primary, compared with specialist care, nor were there significant differences…
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Almost 60% of patients fail to recover after undergoing one antidepressant trial.
“It is reported that almost 60% of patients fail to recover after undergoing one antidepressant trial,320–322”
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Failed past treatments are a predictive factor for chronicity in psychiatry.
“various studies have shown that failed past treatments are a predictive factor for chronicity in psychiatry.11–13”
From Establishing irremediable psychiatric suffering in the context of medical assistance in dying in the Netherlands: a qualitative study (2022) · cites this paper as [11]
Cites
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Koretz, D., Merikangas, K. R., Rush, A. J., Walters, E. E., & Wang, P. S. (2003) · JAMA · doi:10.1001/jama.289.23.3095 · Cited by 7,988 · see citing works
Rush, A. J., Trivedi, M. H., Wisniewski, S. R., Nierenberg, A. A., Stewart, J. W., Warden, D., Niederehe, G., Thase, M. E., Lavori, P. W., Lebowitz, B. D., et al. (2006) · American Journal of Psychiatry · doi:10.1176/ajp.2006.163.11.1905 · Cited by 5,643 · see citing works
Keller, M. B., McCullough, J. P., Klein, D. N., Arnow, B., Dunner, D. L., Gelenberg, A. J., Markowitz, J. C., Nemeroff, C. B., Russell, J. M., Thase, M. E., et al. (2000) · New England Journal of Medicine · doi:10.1056/nejm200005183422001 · Cited by 1,331 · 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
Cognitive Therapy vs Medications in the Treatment of Moderate to Severe Depression
DeRubeis, R. J., Hollon, S. D., Amsterdam, J. D., Shelton, R. C., Young, P. R., Salomon, R. M., O’Reardon, J. P., Lovett, M. L., Gladis, M. M., Brown, L. L., et al. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.4.409 · Cited by 989 · see citing works
Residual symptoms in depressed patients who respond acutely to fluoxetine
Nierenberg, A. A., Keefe, B. R., Leslie, V. C., Alpert, J. E., Pava, J. A., Worthington, J. J., Rosenbaum, J. F., & Fava, M. (1999) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v60n0403 · Cited by 470 · see citing works
Zimmerman, M., Chelminski, I., & Posternak, M. A. (2005) · American Journal of Psychiatry · doi:10.1176/appi.ajp.162.7.1370 · Cited by 144 · see citing works
Gaynes, B. N., Rush, A. J., Trivedi, M. H., Wisniewski, S. R., Balasubramani, G. K., McGrath, P. J., Thase, M. E., Klinkman, M., Nierenberg, A. A., Yates, W. R., et al. (2008) · Journal of General Internal Medicine · doi:10.1007/s11606-008-0522-3 · Cited by 97 · see citing works
Zimmerman, M., Chelminski, I., & Posternak, M. A. (2004) · Journal of Nervous & Mental Disease · doi:10.1097/01.nmd.0000110279.23893.82 · Cited by 58 · see citing works
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Davis, A. K., Barrett, F. S., & Griffiths, R. R. (2020) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2019.11.004 · Cited by 375 · see citing works
Biomarkers in Psychiatry: Concept, Definition, Types and Relevance to the Clinical Reality
García-Gutiérrez, M. S., Navarrete, F., Sala, F., Gasparyan, A., Austrich-Olivares, A., & Manzanares, J. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00432 · Cited by 331 · see citing works
Yuan, M., Yang, B., Rothschild, G., Mann, J. J., Sanford, L. D., Tang, X., Huang, C., Wang, C., & Zhang, W. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01519-z · Cited by 246 · see citing works
Hibicke, M., Landry, A. N., Kramer, H. M., Talman, Z. K., & Nichols, C. D. (2020) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.9b00493 · Cited by 205 · see citing works
An AI-based decision support system for predicting mental health disorders
Tutun, S., Johnson, M. E., Ahmed, A., Albizri, A., Irgil, S., Yesilkaya, I., Ucar, E. N., Sengun, T., & Harfouche, A. (2023) · Information Systems Frontiers · doi:10.1007/s10796-022-10282-5 · Cited by 177 · see citing works
Schuch, F. B., Vancampfort, D., Rosenbaum, S., Richards, J., Ward, P. B., & Stubbs, B. (2016) · Psychiatry Research · doi:10.1016/j.psychres.2016.04.054 · Cited by 165 · see citing works
Davis, A. K., So, S., Lancelotta, R., Barsuglia, J. P., & Griffiths, R. R. (2019) · The American Journal of Drug and Alcohol Abuse · doi:10.1080/00952990.2018.1545024 · Cited by 142 · see citing works
Diet-Derived Fatty Acids, Brain Inflammation, and Mental Health
Melo, H. M., Santos, L. E., & Ferreira, S. T. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00265 · Cited by 136 · see citing works
Schuch, F. B., Vasconcelos-Moreno, M. P., Borowsky, C., Zimmermann, A. B., Rocha, N. S., & Fleck, M. P. (2015) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2014.11.005 · Cited by 130 · see citing works
Schuch, F. B., Vancampfort, D., Sui, X., Rosenbaum, S., Firth, J., Richards, J., Ward, P. B., & Stubbs, B. (2016) · Preventive Medicine · doi:10.1016/j.ypmed.2016.10.011 · Cited by 111 · see citing works
The Impact of (the Concept of) Treatment-Resistant Depression: An Opinion Review
Demyttenaere, K., & Van Duppen, Z. (2019) · International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyy052 · Cited by 98 · see citing works
Verdonk, F., Petit, A.-C., Abdel-Ahad, P., Vinckier, F., Jouvion, G., de Maricourt, P., De Medeiros, G. F., Danckaert, A., Van Steenwinckel, J., Blatzer, M., et al. (2019) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2019.06.033 · Cited by 99 · see citing works
Taliaz, D., Spinrad, A., Barzilay, R., Barnett-Itzhaki, Z., Averbuch, D., Teltsh, O., Schurr, R., Darki-Morag, S., & Lerer, B. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01488-3 · Cited by 93 · see citing works
Ketamine and the Future of Rapid-Acting Antidepressants
Riggs, L. M., & Gould, T. D. (2021) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-072120-014126 · Cited by 87 · see citing works
Martiny, K., Refsgaard, E., Lund, V., Lunde, M., Sørensen, L., Thougaard, B., Lindberg, L., & Bech, P. (2012) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.11m07625 · Cited by 87 · see citing works
Gauthier, G., Guérin, A., Zhdanava, M., Jacobson, W., Nomikos, G., Merikle, E., François, C., & Perez, V. (2017) · BMC Psychiatry · doi:10.1186/s12888-017-1385-0 · Cited by 70 · see citing works
Peterson, K., Dieperink, E., Anderson, J., Boundy, E., Ferguson, L., & Helfand, M. (2017) · Psychopharmacology · doi:10.1007/s00213-017-4622-9 · Cited by 56 · see citing works
Chan, Y.-L. E., Chen, M.-H., Tsai, S.-J., Bai, Y.-M., Tsai, C.-F., Cheng, C.-M., Su, T.-P., Chang, W.-H., Chen, T.-J., & Li, C.-T. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.05.150 · Cited by 55 · see citing works
The effects of ketamine on suicidality across various formulations and study settings
Dadiomov, D., & Lee, K. (2019) · Mental Health Clinician · doi:10.9740/mhc.2019.01.048 · Cited by 53 · see citing works
Guimarães, M. C., Guimarães, T. M., Hallak, J. E., Abrão, J., & Machado-de-Sousa, J. P. (2021) · Brazilian Journal of Psychiatry · doi:10.1590/1516-4446-2020-1543 · Cited by 42 · see citing works
A Robot a Day Keeps the Blues Away
Bennett, C. C., Sabanovic, S., Piatt, J. A., Nagata, S., Eldridge, L., & Randall, N. (2017) · 2017 IEEE International Conference on Healthcare Informatics (ICHI) · doi:10.1109/ichi.2017.43 · Cited by 43 · see citing works
Lopez, M. A., & Basco, M. A. (2015) · Administration and Policy in Mental Health and Mental Health Services Research · doi:10.1007/s10488-014-0546-4 · Cited by 42 · see citing works
ARPNet: Antidepressant Response Prediction Network for Major Depressive Disorder
Chang, B., Choi, Y., Jeon, M., Lee, J., Han, K.-M., Kim, A., Ham, B.-J., & Kang, J. (2019) · Genes · doi:10.3390/genes10110907 · Cited by 35 · see citing works
Garcia-Toro, M., Medina, E., Galan, J. L., Gonzalez, M. A., & Maurino, J. (2012) · BMC Psychiatry · doi:10.1186/1471-244x-12-143 · Cited by 32 · see citing works
Stotland, N. L. (2012) · Psychiatric Clinics of North America · doi:10.1016/j.psc.2011.11.007 · Cited by 30 · see citing works
van Veen, S. M. P., Ruissen, A. M., Beekman, A. T. F., Evans, N., & Widdershoven, G. A. M. (2022) · Canadian Medical Association Journal · doi:10.1503/cmaj.210929 · Cited by 25 · see citing works
Carneiro, L., Rosenbaum, S., Ward, P. B., Clemente, F. M., Ramirez-Campillo, R., Monteiro-Júnior, R. S., Martins, A., & Afonso, J. (2022) · Brazilian Journal of Psychiatry · doi:10.1590/1516-4446-2021-2026 · Cited by 23 · see citing works
Schaffer, A., Kreindler, D., Reis, C., & Levitt, A. J. (2013) · Journal of Clinical Psychopharmacology · doi:10.1097/jcp.0b013e31829e8359 · Cited by 22 · see citing works
Self-citationMalviya, S., Meredith, P., Zupan, B., & Kerley, L. (2022) · Journal of Spirituality in Mental Health · doi:10.1080/19349637.2021.2010631 · Cited by 18 · see citing works
Effectiveness of intravenous ketamine in mood disorder patients with a history of neurostimulation
Rodrigues, N. B., Siegel, A., Lipsitz, O., Cha, D. S., Gill, H., Nasri, F., Simonson, K., Shekotikhina, M., Lee, Y., Subramaniapillai, M., et al. (2022) · CNS Spectrums · doi:10.1017/s1092852920002187 · Cited by 17 · see citing works
Denee, T., Kerr, C., Ming, T., Wood, R., Tritton, T., Middleton-Dalby, C., Massey, O., & Desai, M. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.05.026 · Cited by 16 · see citing works
Di Vincenzo, J. D., Lipsitz, O., Rodrigues, N. B., Lee, Y., Gill, H., Kratiuk, K., Subramaniapillai, M., Mansur, R., McIntyre, R. S., & Rosenblat, J. D. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.09.002 · Cited by 12 · see citing works
Sicras-Mainar, A., Maurino, J., Cordero, L., Blanca-Tamayo, M., & Navarro-Artieda, R. (2012) · Annals of General Psychiatry · doi:10.1186/1744-859x-11-22 · Cited by 11 · see citing works
Lin, C. ‐., Yang, W. ‐., Chen, C. ‐., & Cai, W. ‐. (2020) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.13183 · Cited by 8 · see citing works
- Authors
- Sinyor, M., Schaffer, A., & Levitt, A.
- Affiliations
- University of Toronto (CA)
- Sunnybrook Health Science Centre (CA)
- Corresponding author
- Schaffer, Ayal
- Venue
- The Canadian Journal of Psychiatry
- Publisher
- SAGE Publications
- Published
- 2010-03
- Volume
- 55
- Issue
- 3
- Pages
- 126-135
- ISSN
- 0706-7437 (ISSN-L)
- 1497-0015
- OpenAlex
- W496281
- Cited by
- 396
- References
- 9
- Citations by year
- 2026: 18 · 2025: 23 · 2024: 37 · 2023: 58 · 2022: 38 · 2021: 46 · 2020: 34 · 2019: 25 · 2018: 21 · 2017: 18 · 2016: 14 · 2015: 9 · 2014: 11 · 2013: 11 · 2012: 14
- FWCI
- 1.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Canadian Journal of Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Sanofi
- AstraZeneca Canada
- Servier
- Topics
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- major depressive disorder, STAR*D trial, antidepressant treatment, cognitive therapy, treatment-resistant depression, treatment sequencing, remission, treatment response, augmentation strategies, primary care versus specialist care, quality of life, functional outcome
- MeSH terms
- Adult, Aged, Antidepressive Agents, Clinical Trials as Topic, Combined Modality Therapy, Depressive Disorder, Drug Administration Schedule, Drug Therapy, Combination, Humans, Middle Aged, Primary Health Care, Psychiatric Status Rating Scales, Quality of Life, Recurrence, Remission Induction, Research Design, Cognitive Behavioral Therapy, Treatment Outcome, Young Adult
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