Depression and Other Common Mental Disorders Global Health Estimates (WHO, 2017).
American Psychiatric Association Practice Guidelines for the Treatment of Patients With Major Depressive Disorder (APA, 2010); https://doi.org/10.1176/appi.books.9780890423387.654001
Frank, E. et al. Conceptualization and rationale for consensus definitions of terms in major depressive disorder. Remission, recovery, relapse, and recurrence. Arch. Gen. Psychiatry 48, 851–855 (1991).
Google Scholar
Depression in Adults: Recognition and Management (NICE, 2009); https://www.nice.org.uk/guidance/cg90/chapter/Key-priorities-for-implementation#ftn.footnote_6
Bockting, C., Breedvelt, J. J. F. & Brouwer, M. Relapse prevention. Comprehensive Clinical Psychology 2nd edn, Vol. 6 (ed. Andersson, G.) 177–193 (Elsevier, 2022); https://doi.org/10.1016/B978-0-12-818697-8.00224-7
Breedvelt, J. J. F. et al. Psychological interventions as an alternative and add-on to antidepressant medication to prevent depressive relapse: systematic review and meta-analysis. Br. J. Psychiatry 219, 538–545 (2020).
Guidi, J., Tomba, E. & Fava, G. A. The sequential integration of pharmacotherapy and psychotherapy in the treatment of major depressive disorder: a meta-analysis of the sequential model and a critical review of the literature. Am. J. Psychiatry 173, 128–137 (2016).
Google Scholar
Guidi, J. & Fava, G. A. Sequential combination of pharmacotherapy and psychotherapy in major depressive disorder. JAMA Psychiatry (2020).
Breedvelt, J. J. F., Warren, F. C., Segal, Z., Kuyken, W. & Bockting, C. L. Continuation of antidepressants vs sequential psychological interventions to prevent relapse in depression: an individual participant data meta-analysis. JAMA Psychiatry 78, 868–875 (2021).
Google Scholar
DeRubeis, R. J. et al. The Personalized Advantage Index: translating research on prediction into individualized treatment recommendations. A demonstration. PLoS ONE 9, e83875 (2014).
Google Scholar
Huibers, M. J. H. et al. Predicting optimal outcomes in cognitive therapy or interpersonal psychotherapy for depressed individuals using the Personalized Advantage Index approach. PLoS ONE 10, e0140771 (2015).
Google Scholar
Riley, R. D. et al. Meta-analysis of individual participant data: rationale, conduct, and reporting. BMJ 340, 521–525 (2014).
Riley, R. D. & Steyerberg, E. W. Meta-analysis of a binary outcome using individual participant data and aggregate data. Res. Synth. Methods 1, 2–19 (2010).
Google Scholar
Stewart, L. A. & Tierney, J. F. To IPD or not to IPD? Advantages and disadvantages of systemic reviews using individual patient data. Eval. Health Prof. 25, 76–97 (2002).
Google Scholar
Breedvelt, J. J. F. et al. Psychological interventions as an alternative and add-on to antidepressant medication to prevent depressive relapse: systematic review and meta-analysis. Br. J. Psychiatry 219, 538–545 (2021).
Google Scholar
Kuyken, W. et al. Efficacy of mindfulness-based cognitive therapy in prevention of depressive relapse: an individual patient data meta-analysis from randomized trials. JAMA Psychiatry 73, 565–574 (2016).
Google Scholar
Page, M. J. et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 372, n71 (2021).
Google Scholar
Frank, E. et al. Three-year outcomes for maintenance therapies in recurrent depression. Arch. Gen. Psychiatry 47, 1093–1099 (1990).
Google Scholar
Katon, W. et al. A randomized trial of relapse prevention of depression in primary care. Arch. Gen. Psychiatry 58 241–247 (2001).
Brakemeier, E.-L. et al. Erratum to: ‘Cognitive-behavioral therapy as continuation treatment to sustain response after electroconvulsive therapy in depression: a randomized controlled trial.’ Biol. Psychiatry 76, 430 (2014).
Meadows, G. N. et al. Mindfulness-based cognitive therapy for recurrent depression: a translational research study with 2-year follow-up. Aust. N. Z. J. Psychiatry 48, 743–755 (2014).
Paykel, E. S. et al. Prevention of relapse in residual depression by cognitive therapy. A controlled trial. Arch. Gen. Psychiatry 56, 829–835 (1999).
Google Scholar
Paykel, E. S. et al. Duration of relapse prevention after cognitive therapy in residual depression: Follow-up of controlled trial. Psychol. Med. 35, 59–68 (2005).
Google Scholar
Perlis, R. H. et al. Effect of abrupt change from standard to low serum levels of lithium: a reanalysis of double-blind lithium maintenance data. Am. J. Psychiatry 159, 1155–1159 (2002).
Google Scholar
Petersen, T. J. et al. The role of cognitive–behavioral therapy and fluoxetine in prevention of recurrence of major depressive disorder. Cogn. Ther. Res. 34, 13–23 (2007).
Stangier, U. et al. Maintenance cognitive–behavioral therapy and manualized psychoeducation in the treatment of recurrent depression: a multicenter prospective randomized controlled trial. Am. J. Psychiatry 170, 624–632 (2013).
Google Scholar
Teismann, T. et al. A randomized controlled trial on the effectiveness of a rumination-focused group treatment for residual depression. Psychother. Res. 24, 80–90 (2014).
Google Scholar
Biesheuvel-Leliefeld, K. E. M. et al. Effectiveness of supported self-help in recurrent depression: a randomized controlled trial in primary care. Psychother. Psychosom. 86, 220–230 (2017).
Google Scholar
Hoorelbeke, K., Van den Bergh, N., De Raedt, R., Wichers, M. & Koster, E. H. W. Preventing recurrence of depression: long-term effects of a randomized controlled trial on cognitive control training for remitted depressed patients. Clin. Psychol. Sci. 9, 615–633 (2021).
Shallcross, A. J. et al. Relapse/recurrence prevention in major depressive disorder: 26-month follow-up of mindfulness-based cognitive therapy versus an active control. Behav. Ther. 87, 836–849 (2018).
Farb, N. et al. Prevention of relapse/recurrence in major depressive disorder with either mindfulness-based cognitive therapy or cognitive therapy. J. Consult. Clin. Psychol. 86, 200–204 (2018).
Google Scholar
Beck, A., Steer, R. & Brown, G. Beck Depression Inventory-II (BDI-II) (The Psychological Corporation, 1996)
Hamilton, M. A rating scale for depression. J. Neurol. Neurosurg. Psychiatry 23, 56–62 (1960).
Google Scholar
Teasdale, J. D. et al. Prevention of relapse/recurrence in major depression by mindfulness-based cognitive therapy. J. Consult. Clin. Psychol. 68, 615–623 (2000).
Google Scholar
Jarrett, R. B. et al. Preventing recurrent depression using cognitive therapy with and without a continuation phase. Arch. Gen. Psychiatry 58, 381–388 (2001).
Google Scholar
Ma, S. H. & Teasdale, J. D. Mindfulness-based cognitive therapy for depression: replication and exploration of differential relapse prevention effects. J. Consult. Clin. Psychol. 72, 31–40 (2004).
Google Scholar
Klein, D. N. et al. Cognitive–behavioral analysis system of psychotherapy as a maintenance treatment for chronic depression. J. Consult. Clin. Psychol. 72, 681–688 (2004).
Google Scholar
Bockting, C. L. H. et al. Preventing relapse/recurrence in recurrent depression with cognitive therapy: a randomized controlled trial. J. Consult. Clin. Psychol. 73, 647–657 (2005).
Google Scholar
Bondolfi, G. et al. Depression relapse prophylaxis with mindfulness-based cognitive therapy: replication and extension in the Swiss health care system. J. Affect. Disord. 122, 224–231 (2010).
Google Scholar
Godfrin, K. A. & van Heeringen, C. The effects of mindfulness-based cognitive therapy on recurrence of depressive episodes, mental health and quality of life: a randomized controlled study. Behav. Res. Ther. 48, 738–746 (2010).
Google Scholar
Jarrett, R. B., Minhajuddin, A., Gershenfeld, H., Friedman, E. S. & Thase, M. E. Preventing depressive relapse and recurrence in higher-risk cognitive therapy responders: a randomized trial of continuation phase cognitive therapy, fluoxetine, or matched pill placebo. JAMA Psychiatry 70, 1152–1160 (2013).
Google Scholar
Hollandare, F. et al. Two-year outcome of internet-based relapse prevention for partially remitted depression. Behav. Res. Ther. 51, 719–722 (2013).
Google Scholar
Williams, J. M. G. et al. Mindfulness-based cognitive therapy for preventing relapse in recurrent depression: a randomized dismantling trial. J. Consult. Clin. Psychol. 82, 275–286 (2014).
Google Scholar
Huijbers, M. J. et al. Adding mindfulness-based cognitive therapy to maintenance antidepressant medication for prevention of relapse/recurrence in major depressive disorder: randomised controlled trial. J. Affect. Disord. 187, 54–61 (2015).
Google Scholar
Bockting, C. L. H. et al. Effectiveness of preventive cognitive therapy while tapering antidepressants versus maintenance antidepressant treatment versus their combination in prevention of depressive relapse or recurrence (DRD study): a three-group, multicentre, randomised control. Lancet Psychiatry 5, 401–410 (2018).
Google Scholar
Klein, N. S. et al. No sustainable effects of an internet-based relapse prevention program over 24 months in recurrent depression: primary outcomes of a randomized controlled trial. Psychother. Psychosom. 87, 55–57 (2018).
Google Scholar
de Jonge, M. et al. Preventive cognitive therapy versus care as usual in cognitive behavioral therapy responders: a randomized controlled trial. J. Consult. Clin. Psychol. 87, 521–529 (2019).
Google Scholar
Clarke, K., Mayo-Wilson, E., Kenny, J. & Pilling, S. Can non-pharmacological interventions prevent relapse in adults who have recovered from depression? A systematic review and meta-analysis of randomized controlled trials. Clin. Psychol. Rev. 39, 58–70 (2015).
Google Scholar
Biesheuvel-Leliefeld, K. E. M. et al. Effectiveness of psychological interventions in preventing recurrence of depressive disorder: meta-analysis and meta-regression. J. Affect. Disord. 174, 400–410 (2015).
Google Scholar
Zhang, Z., Zhang, L., Zhang, G., Jin, J. & Zheng, Z. The effect of CBT and its modifications for relapse prevention in major depressive disorder: a systematic review and meta-analysis. BMC Psychiatry 18, 50 (2018).
Google Scholar
Sim, K., Lau, W. K., Sim, J., Sum, M. Y. & Baldessarini, R. J. Prevention of relapse and recurrence in adults with major depressive disorder: systematic review and meta-analyses of controlled trials. Int. J. Neuropsychopharmacol. 19, pyv076 (2016).
Vittengl, J. R., Clark, L. A., Dunn, T. W. & Jarrett, R. B. Reducing relapse and recurrence in unipolar depression: a comparative meta-analysis of cognitive–behavioral therapy’s effects. J. Consult. Clin. Psychol. 75, 475–488 (2007).
Google Scholar
Burcusa, S. L. & Iacono, W. G. Risk for recurrence in depression. Clin. Psychol. Rev. 27, 959–985 (2007).
Google Scholar
Beardslee, W. R. et al. Prevention of depression in at-risk adolescents: longer-term effects. JAMA Psychiatry 70, 1161–1170 (2013).
Google Scholar
Buckman, J. E. J. et al. Risk factors for relapse and recurrence of depression in adults and how they operate: a four-phase systematic review and meta-synthesis. Clin. Psychol. Rev. 64, 13–38 (2018).
Google Scholar
Klein, D. N. & Allmann, A. E. S. in Handbook of Depression (eds Gotlib, I. H. & Hammen, C. L.) 3rd edn. 64–83 (Guilford Press, 2014); https://doi.org/10.1097/00005053-200301000-00022
Coyne, J. C. Toward an interactional description of depression. Psychiatry 39, 28–40 (1976).
Google Scholar
Furukawa, T. A. et al. Initial treatment choices to achieve sustained response in major depression: a systematic review and network meta-analysis. World Psychiatry 20, 387–396 (2021).
Google Scholar
Cipriani, A., Higgins, J. P. T., Geddes, J. R. & Salanti, G. Conceptual and technical challenges in network meta-analysis. Ann. Intern. Med. 159, 130–137 (2013).
Google Scholar
Solomon, D. A. et al. Multiple recurrences of major depressive disorder. Am. J. Psychiatry 157, 229–233 (2000).
Google Scholar
Robberegt, S. J. et al. Personalised app-based relapse prevention of depressive and anxiety disorders in remitted adolescents and young adults: a protocol of the StayFine RCT. BMJ Open 12, e058560 (2022).
Google Scholar
Wilkinson, M. D. et al. The FAIR guiding principles for scientific data management and stewardship. Sci. Data 3, 160018 (2016).
Google Scholar
Sheets, E. S. et al. Prevention of recurrence of major depression among emerging adults by a group cognitive–behavioral/interpersonal intervention. J. Affect. Disord. 147, 425–430 (2013).
Google Scholar
Breedvelt, J. J. F. et al. Individual participant data (IPD) meta-analysis of psychological relapse prevention interventions versus control for patients in remission from depression: a protocol. BMJ Open 10, e034158 (2020).
Google Scholar
Stewart, L. A. et al. Preferred reporting items for a systematic review and meta-analysis of individual participant data: the PRISMA-IPD statement. JAMA 313, 1657–1665 (2015).
Google Scholar
Kendrick, T. et al. Randomised controlled trial to determine the clinical effectiveness and cost-effectiveness of selective serotonin reuptake inhibitors plus supportive care, versus supportive care alone, for mild to moderate depression with somatic symptoms in primary care. Health Technol. Assess. (2009).
Moore, M. et al. Explaining the rise in antidepressant prescribing: a descriptive study using the general practice research database. BMJ 339, b3999 (2009).
Google Scholar
Bockting, C. L., Hollon, S. D., Jarrett, R. B., Kuyken, W. & Dobson, K. A lifetime approach to major depressive disorder: the contributions of psychological interventions in preventing relapse and recurrence. Clin. Psychol. Rev. 41, 16–26 (2015).
Google Scholar
Furlan, A. D. et al. 2015 updated method guideline for systematic reviews in the Cochrane back and neck group. Spine 40, 1660–1673 (2015).
Google Scholar
First, M. B. Structured Clinical Interview for the DSM (SCID). Encycl. Clin. Psychol. https://doi.org/10.1002/9781118625392.wbecp351(2015).
Valentine, J. C., Pigott, T. D. & Rothstein, H. R. How many studies do you need? A primer on statistical power for meta-analysis. J. Educ. Behav. Stat. 35, 215–247 (2010).
IntHout, J., Ioannidis, J. P. A. & Borm, G. F. The Hartung–Knapp–Sidik–Jonkman method for random effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian–Laird method. BMC Med. Res. Methodol. 14, 25 (2014).
Google Scholar
Higgins, J. P. T., Thompson, S. G., Deeks, J. J. & Altman, D. G. Measuring inconsistency in meta-analyses. Br. Med. J. 327, 557–560 (2003).
Hua, H. et al. One-stage individual participant data meta-analysis models: estimation of treatment-covariate interactions must avoid ecological bias by separating out within-trial and across-trial information. Stat. Med. 36, 772–789 (2017).
Google Scholar
Riley, R. D., Lambert, P. C. & Abo-Zaid, G. Meta-analysis of individual participant data: rationale, conduct, and reporting. BMJ Online 340, 521–525 (2010).
Egger, M., Smith, G. D., Schneider, M. & Minder, C. Bias in meta-analysis detected by a simple, graphical test measures of funnel plot asymmetry. Br. Med. J. 315, 629–634 (1997).
Google Scholar
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