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Discontinuation of antidepressants after remission with antidepressant medication in major depressive disorder: a systematic review and meta-analysis


A significant clinical issue encountered after a successful acute major depressive disorder (MDD) treatment is the relapse of depressive symptoms. Although continuing maintenance therapy with antidepressants is generally recommended, there is no established protocol on whether or not it is necessary to prescribe the antidepressant used to achieve remission. In this meta-analysis, the risk of relapse and treatment failure when either continuing with the same drug used to achieved remission or switching to a placebo was assessed in several clinically significant subgroups. The pooled odds ratio (OR) (±95% confidence intervals (CI)) was calculated using a random effects model. Across 40 studies (n = 8890), the relapse rate was significantly lower in the antidepressant group than the placebo group by about 20% (OR = 0.38, CI: 0.33–0.43, p < 0.00001; 20.9% vs 39.7%). The difference in the relapse rate between the antidepressant and placebo groups was greater for tricyclics (25.3%; OR = 0.30, CI: 0.17–0.50, p < 0.00001), SSRIs (21.8%; OR = 0.33, CI: 0.28–0.38, p < 0.00001), and other newer agents (16.0%; OR = 0.44, CI: 0.36–0.54, p < 0.00001) in that order, while the effect size of acceptability was greater for SSRIs than for other antidepressants. A flexible dose schedule (OR = 0.30, CI: 0.23–0.48, p < 0.00001) had a greater effect size than a fixed dose (OR = 0.41, CI: 0.36–0.48, p < 0.00001) in comparison to placebo. Even in studies assigned after continuous treatment for more than 6 months after remission, the continued use of antidepressants had a lower relapse rate than the use of a placebo (OR = 0.40, CI: 0.29–0.55, p < 0.00001; 20.2% vs 37.2%). The difference in relapse rate was similar from a maintenance period of 6 months (OR = 0.41, CI: 0.35–0.48, p < 0.00001; 19.6% vs 37.6%) to over 1 year (OR = 0.35, CI: 0.29–0.41, p < 0.00001; 19.9% vs 39.8%). The all-cause dropout of antidepressant and placebo groups was 43% and 58%, respectively, (OR = 0.47, CI: 0.40–0.55, p < 0.00001). The tolerability rate was ~4% for both groups. The rate of relapse (OR = 0.32, CI: 0.18–0.64, p = 0.0010, 41.0% vs 66.7%) and all-cause dropout among adolescents was higher than in adults. To prevent relapse and treatment failure, maintenance therapy, and careful attention for at least 6 months after remission is recommended. SSRIs are well-balanced agents, and flexible dose adjustments are more effective for relapse prevention.


Major depressive disorder (MDD) is among the most common psychiatric disorders. It is a chronic condition associated with significant functional impairment [1, 2]. Recently, treatment goals have focused on full recovery from depression, entailing both remission of depressive symptoms and restoration of vocational and interpersonal functions [3]. The relapse/recurrence of depressive symptoms after successful acute MDD treatment is common and is a significant clinical concern. The risk of relapse/recurrence is significantly reduced by continuation of antidepressant after acute treatment [4,5,6]. Several treatment guidelines recommend that patients with a major depressive episode continue antidepressant therapy for 4 to 9 months after successful acute phase treatment to prevent relapse/recurrence of the episode [7, 8] and up to 2 years or more of maintenance treatment at full therapeutic dose for patients with an increased risk of recurrence of MDD [9].

However, the meta-analysis used as the basis for these guidelines contains information about antidepressant polypharmacy, antidepressants plus psychotherapy, and data on classes of antidepressants used for maintenance treatment that are different than those used during acute phase treatment. Consequently, it is difficult for clinicians to meaningfully interpret those data. The most common treatment to prevent relapse/recurrence of MDD in the maintenance phase is to continue the same antidepressant medication that the subjects responded to during the acute treatment phase, so called “enrichment design” [10]. To date, only one meta-analysis has focused on such design. The meta-analysis conducted by Borges et al. in 2014 included 15 studies submitted to FDA [11]. However, they did not take potential risk factors of relapse into consideration. In general, recurrent episodes, duration of maintenance period after reaching remission, subject age, type of antidepressant, dosing schedule, and discontinuation method are considered to be risk factors of relapse [9]. Unfortunately, the relevance of these important clinical factors has not yet been fully elucidated. There are two other meta-analyses conducted recently [4, 12], but they included various interventions and pooled heterogeneous designs together without considerations to it. Combining the results of the different designs and treatments may not reflect the result of standard relapse prevention studies of antidepressants. On the other hand, of the 40 randomized controlled trials (RCTs) of enrichment design that we judged reasonable for inclusion in our meta-analysis, no more than 15 were included in either meta-analysis. Furthermore, their meta-analysis did not analyze acceptability and tolerability, which are important outcomes when evaluating usefulness of drug [9]. Therefore, this meta-analysis was performed to determine whether or not the antidepressant treatment therapy should be continued after remission, taking into account the influence of various clinically factors, focusing on studies that compared the relapse/recurrence rate of patients continuing the drug which they had achieved remission with vs a placebo.


Criteria for considering studies for this review

Double-blind RCTs were included. There are four types of RCT designs used to assess the effectiveness of long-term treatment [10]. Among them, we only included “discontinuation trial design” [13] (so called “enrichment design” [10]), in which patients who responded to an active drug in unblinded acute treatment phase were randomized to either continue taking the active drug or switch to placebo. All participants were diagnosed with MDD through the following operationalized criteria: Feighner criteria [14], Research Diagnostic Criteria [15], DSM-III, DSM-III-R, DSM-IV, DSM-5 [16], and ICD-10 [17]. We excluded the studies focused on bipolar disorder, personality disorder, substance use disorder, refractory depression, seasonal depression, perinatal depression, and other types of depression caused by certain physical diseases. Studies were required to have durations of at least 12 weeks after randomization. Types of interventions were presents in Supplementary Material.

Search methods for identification of studies and management

An electronic search of Cochrane CENTRAL (until June 14, 2018), MEDLINE (until June 12, 2018), and EMBASE (until October 10, 2018) was carried out. Search terms can be found in supplemental data (Table S1). Two reviewers independently performed the literature search and reviewed all identified publications. Any disagreement was resolved by discussion with another reviewer.

Our outcomes were “relapse,” “all-cause dropout (acceptability),” and “dropout due to adverse events (tolerability).” The relapse rate at the respective endpoints of each study was used for this meta-analysis.

In the literature, relapse is defined as a return to case level symptoms during remission while recurrence is defined as a return to case level symptoms during recovery [18]. In this study, the term “relapse” is used for convenience rather than “recurrence”, as few studies have continued therapy for more than 6 months after remission before randomization. Data extraction and assessment methods were presented in Supplementary Material.

Data analysis

We conducted pairwise meta-analysis in comparing all antidepressants vs placebo. A random effects model was used to synthesize the data. We obtained the odds ratio (OR) and risk difference (RD) for active treatments vs placebo from dichotomous data using Review Manager (RevMan) 5.3 [19]. When the random effects model showed significant differences between groups, the number needed to treat (NNT) was estimated.

We also assessed the effect of each factor on relapse, acceptability, or tolerability by meta-regression and/or subgroup analysis. The factors used in these analyses are presented in the Supplementary Material. Subgroup analysis was only performed for factors with categorical variables, and meta-regression analysis was performed only when the differences between groups were significant in the random effects model. Meta-regression was performed using Stata 16 (StataCorp).

Other details regarding data extraction, assessment, and analysis are also described in the Supplementary Material.


Search and study characteristics

The screening and selection process are summarized in a Prisma flow chart (Fig. 1). Searches of the MEDLINE, Cochrane Library, and Embase databases yielded 14,871 reports, respectively. Of the 13,595 remaining citations, we excluded 13,274 as not meeting study inclusion/exclusion criteria. The other 321 full reports were reviewed in detail. From these, 281 were excluded for having participants with diagnoses other than MDD, participants randomized to drugs other than antidepressants that remitted during the acute phase (nonenrichment design), or trials performed in designs other than double-blind RCT. The remaining 40 studies with 8890 participants [20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59] were included in the meta-analysis. Table 1 summarizes the characteristics of the studies included. Figure S1 addresses the risk of bias assessment. The number of participants per study ranged from 22 to 548 (median: 230.5) and the mean maximum study duration was 42 weeks (range: 14–100, SD 18.3). The mean age of the participants in the studies included was 43.1 years (range 11.5–76.8, SD 12.5) except for studies by Doogan et al. [21] and Montgomery et al. 1993b, in which no average age was stated. Three studies included only adolescents or children [49, 51, 52] and three studies included only older subjects [37, 39, 50]. With regard to the antidepressant discontinuation method, 8 trials used the abrupt discontinuation method, 16 trials used the tapering method, and the rest did not mention the discontinuation method. Of the 40 trials, 7 continued the same antidepressant medication (continuation therapy) for more than 6 months and 14 continued for more than 3 months after remission in acute phase before randomization (Table 1).

Fig. 1

PRISMA flow diagram of the literature search.

Table 1 Description of included studies.

Relapse, acceptability, and tolerability at study endpoint

The relapse rate at the respective endpoints of each study was used for this meta-analysis; the exception was Wilson et al. [39], whose endpoint at week 100 deviated significantly from the average of the other trials (40 weeks +15.9). For the Wilson et al. study, the relapse rate at 48 weeks was used for analysis. The pooled OR of relapse between the antidepressant and placebo groups performed with 40 studies and 8890 subjects was 0.38 (95% confidence intervals (CI), 0.33–0.43, Z = 14.56 p < 0.00001; Fig. 2), favoring antidepressant continuation over placebo. The RD of the relapse between antidepressant (20.9%) and placebo (39.7%) groups was 0.19 (95% CI, 0.16–0.22, Z = 14.01 p < 0.00001) and NNT was 6. In terms of acceptability, the pooled OR of 32 studies including 7146 subjects was 0.47 (95% CI, 0.40–0.55, Z = 9.50 p < 0.00001; Fig. 3), favoring antidepressant continuation over placebo. The RD of the rate of acceptability between antidepressant (43.3%) and placebo (58.2%) groups was 0.17 (95% CI, 0.14–0.20, Z = 10.68 p < 0.00001) and NNT was 7. For the rate of tolerability, pooled ORs of 28 studies with 6897 subjects was 1.15 (95% CI, 0.79–1.67, Z = 0.72 p = 0.47; Fig. 4) and RD was 0.01 (95% CI, −0.01 to 0.02, Z = 1.03 p = 0.30) without significant differences between antidepressant (4.1%) and placebo (3.9%) groups.

Fig. 2

Meta-analysis of OR for study-defined relapse.

Fig. 3

Meta-analysis of OR for acceptability.

Fig. 4

Meta-analysis of OR for tolerability.

Meta-regression and subgroup analyses

Regarding the relapse rate, meta-regression analysis found the types of antidepressants (p = 0.04, R2 = 28.4%), dosing schedule (p = 0.03, R2 = 26.7%), and study year (beta = 0.03, p < 0.001, R2 = 46.5%) to be significantly associated with the outcome in meta-analysis. The difference in the relapse rate between the antidepressant and placebo groups was 25.3% (N = 4, n = 403, OR = 0.30, p < 0.00001) for classical antidepressants, 21.8% (N = 20, n = 3596, OR = 0.33, p < 0.00001) for SSRIs, and 16.0% (N = 15, n = 4842, OR = 0.44, p < 0.00001) for other newer agents (Fig. S2), 17.1% (N = 27, n = 7042, OR = 0.41, p < 0.00001) in the fixed dose setting and 25.5% (N = 13, n = 1857, OR = 0.30, p < 0.00001) for the flexible dose (Fig. 5). The relapse rate in adolescents was 66.7% for placebo and 41.0% for the antidepressant group, which was higher than the overall rate, with a large difference between the two groups (N = 3, n = 164, OR = 0.34, p = 0.0010; Fig. 2), although the meta-regression analysis showed no significant difference between age groups, probably due to the small number of trials. The relapse rate in older subjects was 42.1% for the placebo and 19.0% for the antidepressant groups, similar to overall results, but with a slightly larger difference (N = 3, n = 539, OR = 0.32, p = 0.0007; Fig. 2). Excluding the six trials specifically for the older people or adolescents, the results for the relapse rate (Fig. 2), acceptability rate (Fig. 3), and tolerability rate (Fig. 4) were comparable to the results for all trials. The difference of relapse rate between placebo and antidepressant was 4.6% higher in the abrupt discontinuation method (22.3%, N = 8, n = 1698, OR = 0.33, p < 0.00001) compared with the tapering method (17.7%, N = 15, n = 3488, OR = 0.38, p < 0.00001) without a significant difference in the meta-regression analysis. The relapse rate for recurrent depression only (N = 16, n = 3605, OR = 0.39, p < 0.00001) was comparable to the overall result. The difference of relapse rate by duration of continuous treatment after remission between placebo and antidepressant was 19.1% after 1 month (≤ 4w) of continuous treatment (mean 0.2w, median 0w, N = 26, n = 6231, OR = 0.38, p < 0.00001) and was equivalent to after more than 6 months (≥24w) of continuous treatment (17.5%, mean 27w, median 26w, N = 7, n = 869, OR = 0.40, p < 0.00001; Fig. S3). The difference of relapse rate between placebo and antidepressant group in studies with a duration of 1 year (more than 48w; mean 56w, median 52w) after randomization was 19.9% (N = 17, n = 3118, OR = 0.35, p < 0.00001) and for the 6-months period (22–26w; mean 25w, median 25w) the difference was 18.0% (N = 16, n = 3943, OR = 0.41, p < 0.00001).

Fig. 5

Meta-analysis of OR for relapse rate by dosing schedule.

The meta-regression analysis of the acceptability rate found only the type of antidepressant to be significantly associated with the outcome (p = 0.02, R2 = 29.7%). The difference in the relapse rate between the antidepressant and placebo groups was 13.5% (N = 3, n = 348, OR = 0.58, p < = 0.03) for classical antidepressants, 18.9% (N = 16, n = 2755, OR = 0.36, p < 0.00001) for SSRIs and 14.1% (N = 12, n = 3985, OR = 0.55, p < 0.00001) for other newer agents (Fig. S4). The rate of acceptability in adolescents was 79.0% for placebo and 61.4% for antidepressant (N = 3, n = 164, OR = 0.44, p = 0.03; Fig. 3), which was higher than the rates for older people, where the rate for placebo was 59.4% and antidepressants was 36.9% (N = 3, n = 539, OR = 0.32, p = 0.005; Fig. 3), and other people. The pooled OR of acceptability in each antidepressant discontinuation method was similar for the tapering (N = 12, n = 2688, OR = 0.45, p < 0.00001) and abrupt (N = 6, n = 1487, OR = 0.51, p < 0.00001) methods.

A subgroup analysis of the tolerability rate showed that the difference between antidepressants and placebo was numerically small, with 0.6 and 1.7% in the 1-year and 6-month trials, respectively (Fig. S5). There were no significant differences in tolerability by antidepressant type or age group (Fig. 3).

The other factors did not significantly affect the results in the meta-regression analysis.

Publication bias

Figure S6 presents the funnel plots of relapse and tolerability with significant results from the meta-analysis. No publication bias was presented in the present study by Egger’s analysis [60].


This is the largest meta-analysis to date focusing on studies that address the frequently asked clinical question “ whether to continue the same antidepressant used to achieve remission or to discontinue” in remitted patients with a major depressive disorder. It was found that overall and, in most subgroups, the relapse rate was significantly lower (by about 20%) in the antidepressant group and NNT was around 6. It was also determined that 80% do not relapse when antidepressants are continued, although this decreases to 60% when discontinued; this can be interpreted as a 40% relapse rate. The rate of acceptability was 43% in the antidepressant group and 58% in the placebo group, with a 15% difference, both of which were 20% greater than the relapse rate. The rates of tolerability for the antidepressant continuation and the placebo group were both ~4%.

Although there were fewer RCTs on tricyclic antidepressants, the effect size of the relapse rates was greater for tricyclics, SSRIs, and other newer agents in that order compared with the placebo. Since the study year was inversely correlated with the effect size of the relapse rate, various factors associated with the study year may have influenced the results, including the type of antidepressant, while the effect size of acceptability was greater for SSRIs than for other antidepressants. Thus, SSRIs may be well-balanced for relapse prevention. Given that a flexible dose had a greater effect size for the relapse than fixed dose, symptom-based dose adjustment is recommended for relapse prevention. Both relapse and acceptability rates in adolescents were higher than in adults, and discontinuation of antidepressants was associated with a 26% higher relapse rate and an 18% higher acceptability rate than when continued. Relapse rates in older people were no different from adults but the effect size of the acceptability rate was greater. The relapse rate after 6-month and 1-year timeframes is similar in the subjects who continued the antidepressant medication while those who discontinued the medication showed a 2% increase in relapse rate after 1 year compared with after 6 months. This suggests that the relapse is more likely to occur by 6 months after discontinuation. Even in studies assigned after continuous treatment for more than 6 months after remission, antidepressants continuation has a lower relapse rate than placebo. The relapse rate difference between antidepressants and placebo for the 6-month was only 2% less than in studies with continuous treatment for less than 1 month. In a previous study by Reimherr et al. [27] there was no difference in the relapse rate between antidepressant discontinuation following 38 weeks of continuation therapy after remission and antidepressant continuation at 50 weeks, which suggests a 38-week maintenance therapy period to prevent relapse. Out of all the studies included in this meta-analysis, only the study by Reimherr et al. evaluated relapse rate after 38 weeks or more of continuous therapy, so we could not confirm it in this meta-analysis. However, our result suggests that maintenance therapy should be continued for at least 6 months after remission of the depressed episode. In addition, after half a year of continuous antidepressant treatment, maintaining antidepressants for another year showed a lower relapse rate than discontinuing them. In another study by Baldessarini et al. a strong correlation of shorter (<8 weeks) initial treatment and greater relapse risk compared with longer (≥12 weeks) initial treatment [61]. In our study, switching to placebo with an initial treatment less than 1 month after remission increases the relapse rate by 4% compared with switching after continuation of antidepressants for more than 6 months. However, the difference between placebo and the antidepressant continuation was similar in the short and long initial treatment periods. An analysis was performed for each discontinuation method while taking the effects of withdrawal symptoms into account. Even with these considerations, the rate of acceptability was still similar for both abrupt and tapering discontinuation methods. The tolerability rate is almost the same for both antidepressant and placebo groups in 1-year studies and 6-month studies, which may suggest that the dropout rate after 6-month is unlikely to increase.

Several previous meta-analyses assessed the risk of relapse risk during the maintenance period between continuation and discontinuation of antidepressants [4, 11, 12, 62,63,64]. Borges et al. focused on RCTs of enrichment design only [11], using 15 unpublished drug application studies submitted to the FDA. As a result, the relapse rate in the antidepressant arm was about 20% lower than that in the placebo arm and the difference in relapse rate between them after 6 months was maintained. Although we did not include the 15 studies of Borges’s study in our meta-analysis, their result was consistent with ours. As there was no information on whether the data of 15 studies were published in whole or in part, we decided not to include it to avoid the risk of duplication. Our results of the relapse rate were also similar to the meta-analysis by Sim et al. [12] However, their results showed a greater difference between placebo and antidepressants, as compared with our results, because of the differences in the RCTs included in the meta-analyses. Sim et al. included various types of maintenance therapy such as antidepressant monotherapy, polypharmacy, combination therapy (e.g., antidepressants plus psychotherapy, electroconvulsive therapy, and lithium) regardless of whether a study continued the same antidepressant used for acute treatment in the maintenance phase or switched to a new one. Moreover, they used the data from Borges et al.’s study which risks the possibility of duplicate analysis. In fact, a meta-analysis by Sim et al. showed that 6 of the 15 studies submitted to the FDA by Borges et al. had the same number of subjects as the other published studies included in their meta-analysis. In our study, we only included enrichment design studies that we identified to prevent duplication. In addition, we used the Cochrane CENTRAL and Embase database, which were not used in Sim’s and Glue’s study, to search for articles. As a result, we were able to find and include 3263 subjects (15 studies) [27, 33, 42, 46, 48,49,50,51,52,53,54,55,56, 58, 59] and 3886 subjects (18 studies) [20, 22, 33, 41,42,43,44,45,46,47,48,49, 51, 52, 55, 57,58,59] that were not included in the analysis by Sim et al. and Glue et al., respectively. This decision made our results more inclusive and rigorous in terms of assessing the efficacy of continuing the same antidepressant that patients respond to in the acute phase in the maintenance phase. Our results about adolescents and older people were similar to the results of previous meta-analyses that focused only on older subjects [63] or only on children/adolescents [62]. However, in our analysis, we were able to compare different age groups and get an overview from a more holistic perspective.

The results of this study have to be interpreted in the context of several limitations. First, factors such as the number of episodes, severity of episodes, chronic episodes, difficult-to-treat episodes, comorbid psychiatric conditions, pre-existing medical conditions, and residual symptoms are all thought to contribute to risk of relapse [9], but only few RCTs have evaluated them so far. Therefore, our meta-analysis could not take these factors into account. In our meta-analysis, the relapse rate for recurrent depression alone, in both the antidepressant and the placebo group, was comparable to the overall result. This suggests that episode frequency may play a more important role in assessing relapse compared with whether the episode was the first or recurrent. Second, enrichment designs were required to respond favorably to treatment response in acute phase and this could put a favorable bias on the antidepressant group. However, this result is considered to be relevant to actual clinical practice, as continuing the same drug used to achieve remission or discontinuing it are the two options that are commonly encouraged for maintenance therapy in actual clinical practice. Third, pharmacologic withdrawal of antidepressants could not be evaluated in our meta-analysis because relapse and dropout rates in the short 4–8 weeks could not be assessed. However, we believe that this risk is not significant because our subanalysis showed that dropout rates did not change in abrupt discontinuation trials and that withdrawal symptoms did not affect relapse in the short term results as seen in Borges et al. [11] Another important limitation is the inconsistent definition of relapse. The definitions vary in each study, making subgroup analysis difficult. However, it is believed that all studies were generally able to assess clinical recurrence/relapse.

In conclusion, relapse rates can be reduced to 20% through the continuation of the same antidepressant medication used to achieve remission, compared with 40% with antidepressant discontinuation. SSRIs are well-balanced agents, and flexible dose adjustments are more effective for relapse prevention. The relapse rate remained unchanged from 6 months to over 1 year in both the antidepressant and placebo groups. Neither group had an increase in relapse rate after 6 months, so more attention may be needed on the relapse rate in the first 6 months rather than 6 months after remission. All-cause dropout rates can also be reduced by 15% with continued use of antidepressants. This is unlikely to be affected by withdrawal symptoms of antidepressants. The tolerability is equally low with or without antidepressants and prolonged use of antidepressants does not seem to be related to withdrawal of treatment for side effects. Increased rates for relapse and/or dropout in adolescents and older subjects after discontinuing antidepressants may indicate that more attention should be given to these age groups. Maintenance therapy for at least 6 months after remission is recommended to prevent relapse, and attention should be given to relapses and treatment failure during this 6-month period.

Supplementary information is available at MP’s website.


  1. 1.

    Judd LL, Akiskal HS, Maser JD, Zeller PJ, Endicott J, Coryell W, et al. Major depressive disorder: a prospective study of residual subthreshold depressive symptoms as predictor of rapid relapse. J Affect Disord. 1998;50:97–108.

    CAS  PubMed  Google Scholar 

  2. 2.

    Vuorilehto MS, Melartin TK, Isometsa ET. Course and outcome of depressive disorders in primary care: a prospective 18-month study. Psychological Med. 2009;39:1697–707.

    CAS  Google Scholar 

  3. 3.

    Zimmerman M, Martinez JA, Attiullah N, Friedman M, Toba C, Boerescu DA, et al. Why do some depressed outpatients who are in remission according to the Hamilton Depression Rating Scale not consider themselves to be in remission? J Clin Psychiatry. 2012;73:790–5.

    PubMed  Google Scholar 

  4. 4.

    Glue P, Donovan MR, Kolluri S, Emir B. Meta-analysis of relapse prevention antidepressant trials in depressive disorders. Aust NZ J Psychiatry. 2010;44:697–705.

    Google Scholar 

  5. 5.

    Hansen R, Gaynes B, Thieda P, Gartlehner G, Deveaugh-Geiss A, Krebs E, et al. Meta-analysis of major depressive disorder relapse and recurrence with second-generation antidepressants. Psychiatr Serv. 2008;59:1121–30.

    PubMed  PubMed Central  Google Scholar 

  6. 6.

    Williams N, Simpson AN, Simpson K, Nahas Z. Relapse rates with long-term antidepressant drug therapy: a meta-analysis. Hum Psychopharmacol. 2009;24:401–8.

    CAS  PubMed  Google Scholar 

  7. 7.

    Davidson JR. Major depressive disorder treatment guidelines in America and Europe. J Clin Psychiatry. 2010;71(Suppl E1):e04.

    PubMed  Google Scholar 

  8. 8.

    Nutt DJ. Rationale for, barriers to, and appropriate medication for the long-term treatment of depression. J Clin Psychiatry. 2010;71 Suppl E1:e02.

    PubMed  Google Scholar 

  9. 9.

    Kennedy SH, Lam RW, McIntyre RS, Tourjman SV, Bhat V, Blier P, et al. Canadian Network for Mood and Anxiety Treatments (CANMAT) 2016 clinical guidelines for the management of adults with major depressive disorder: section 3. pharmacological treatments. Can J Psychiatry Rev Canadienne de Psychiatr. 2016;61:540–60.

    Google Scholar 

  10. 10.

    Shinohara K, Efthimiou O, Ostinelli EG, Tomlinson A, Geddes JR, Nierenberg AA, et al. Comparative efficacy and acceptability of antidepressants in the long-term treatment of major depression: protocol for a systematic review and networkmeta-analysis. BMJ Open. 2019;9:e027574.

    PubMed  PubMed Central  Google Scholar 

  11. 11.

    Borges S, Chen YF, Laughren TP, Temple R, Patel HD, David PA, et al. Review of maintenance trials for major depressive disorder: a 25-year perspective from the US Food and Drug Administration. J Clin Psychiatry. 2014;75:205–14.

    PubMed  Google Scholar 

  12. 12.

    Sim K, Lau WK, Sim J, Sum MY, Baldessarini RJ. Prevention of relapse and recurrence in adults with major depressive disorder: systematic review and meta-analyses of controlled trials. Int J Neuropsychopharmacol. 2015;19:1–13.

    Google Scholar 

  13. 13.

    Deshauer D, Moher D, Fergusson D, Moher E, Sampson M, Grimshaw J. Selective serotonin reuptake inhibitors for unipolar depression: a systematic review of classic long-term randomized controlled trials. CMAJ. 2008;178:1293–301.

    PubMed  PubMed Central  Google Scholar 

  14. 14.

    Feighner JP, Robins E, Guze SB, Woodruff RA Jr., Winokur G, Munoz R. Diagnostic criteria for use in psychiatric research. Arch Gen Psychiatry. 1972;26:57–63.

    CAS  PubMed  Google Scholar 

  15. 15.

    Spitzer RL, Endicott J, Robins E. Research diagnostic criteria: rationale and reliability. Arch Gen Psychiatry. 1978;35:773–82.

    CAS  PubMed  Google Scholar 

  16. 16.

    American Psychiatric Association (APA). Diagnostic and Statistical Manual of Mental Disorders. American Psychiatric Publishing: Washington DC.

  17. 17.

    (WHO) WHO. International Classification of Diseases. WHO: Geneva.

  18. 18.

    Frank E, Prien RF, Jarrett RB, Keller MB, Kupfer DJ, Lavori PW, et al. Conceptualization and rationale for consensus definitions of terms in major depressive disorder. Remission, recovery, relapse, and recurrence. Arch Gen Psychiatry. 1991;48:851–5.

    CAS  PubMed  Google Scholar 

  19. 19.

    RevMan. Review Manager (RevMan). 5.3 edn. The Nordic Cochrane Centre, The Cochrane Collaboration2014.

  20. 20.

    Stein MK, Rickels K, Weise CC. Maintenance therapy with amitriptyline: a controlled trial. Am J Psychiatry. 1980;137:370–1.

    CAS  PubMed  Google Scholar 

  21. 21.

    Doogan DP, Caillard V. Sertraline in the prevention of depression. Br J Psychiatry. 1992;160:217–22.

    CAS  PubMed  Google Scholar 

  22. 22.

    Montgomery SA, Dunbar G. Paroxetine is better than placebo in relapse prevention and the prophylaxis of recurrent depression. Int Clin Psychopharmacol. 1993;8:189–95.

    CAS  PubMed  Google Scholar 

  23. 23.

    Montgomery SA, Rasmussen JG, Tanghoj P. A 24-week study of 20 mg citalopram, 40 mg citalopram, and placebo in the prevention of relapse of major depression. Int Clin Psychopharmacol. 1993;8:181–8.

    CAS  PubMed  Google Scholar 

  24. 24.

    Robert P, Montgomery S. Citalopram in doses of 20-60 mg is effective in depression relapse prevention: a placebo-controlled 6 month study. Int Clin Psychopharmacol. 1995;10 Suppl 1:29–35.

    PubMed  Google Scholar 

  25. 25.

    Stewart J, Tricamo E, McGrath P, Quitkin F. Prophylactic efficacy of phenelzine and imipramine in chronic atypical depression: likelihood of recurrence on discontinuation after 6 months’ remission. Am J Psychiatry. 1997;154:31–36.

    CAS  PubMed  Google Scholar 

  26. 26.

    Keller M, Kocsis J, Thase M, Gelenberg A, Rush A, Koran L, et al. Maintenance phase efficacy of sertraline for chronic depression: a randomized controlled trial. JAMA. 1998;280:1665–72.

    CAS  PubMed  Google Scholar 

  27. 27.

    Reimherr F, Amsterdam J, Quitkin F, Rosenbaum J, Fava M, Zajecka J, et al. Optimal length of continuation therapy in depression: a prospective assessment during long-term fluoxetine treatment. Am J Psychiatry. 1998;155:1247–53.

    CAS  PubMed  Google Scholar 

  28. 28.

    Terra J, Montgomery S. Fluvoxamine prevents recurrence of depression: results of a long-term, double-blind, placebo-controlled study. Int Clin Psychopharmacol. 1998;13:55–62.

    CAS  PubMed  Google Scholar 

  29. 29.

    Feiger A, Bielski R, Bremner J, Heiser J, Trivedi M, Wilcox C, et al. Double-blind, placebo-substitution study of nefazodone in the prevention of relapse during continuation treatment of outpatients with major depression. Int Clin Psychopharmacol. 1999;14:19–28.

    CAS  PubMed  Google Scholar 

  30. 30.

    Versiani M, Mehilane L, Gaszner P, Arnaud-Castiglioni R. Reboxetine, a unique selective NRI, prevents relapse and recurrence in long-term treatment of major depressive disorder. J Clin Psychiatry. 1999;60:400–6.

    CAS  PubMed  Google Scholar 

  31. 31.

    Rouillon F, Warner B, Pezous N, Bisserbe J, Agussol P, Alaix C, et al. Milnacipran efficacy in the prevention of recurrent depression: a 12-month placebo-controlled study. Int Clin Psychopharmacol. 2000;15:133–40.

    CAS  PubMed  Google Scholar 

  32. 32.

    Schmidt M, Fava M, Robinson J, Judge R. The efficacy and safety of a new enteric-coated formulation of fluoxetine given once weekly during the continuation treatment of major depressive disorder. J Clin Psychiatry. 2000;61:851–7.

    CAS  PubMed  Google Scholar 

  33. 33.

    Dalery J, Dagens-Lafont V, Bodinat C. Efficacy of tianeptine vs placebo in the long-term treatment (16.5 months) of unipolar major recurrent depression. Hum Psychopharmacol. 2001;16 Suppl 1:S39–s47.

    CAS  PubMed  Google Scholar 

  34. 34.

    Gilaberte I, Montejo A, Gandara J, Perez-Sola V, Bernardo M, Massana J, et al. Fluoxetine in the prevention of depressive recurrences: a double-blind study. J Clin Psychopharmacol. 2001;21:417–24.

    CAS  PubMed  Google Scholar 

  35. 35.

    Hochstrasser B, Isaksen P, Koponen H, Lauritzen L, Mahnert F, Rouillon F, et al. Prophylactic effect of citalopram in unipolar, recurrent depression: placebo-controlled study of maintenance therapy. Br J Psychiatry. 2001;178:304–10.

    CAS  PubMed  Google Scholar 

  36. 36.

    Thase M, Nierenberg A, Keller M, Panagides J. Efficacy of mirtazapine for prevention of depressive relapse: a placebo-controlled double-blind trial of recently remitted high-risk patients. J Clin Psychiatry. 2001;62:782–8.

    CAS  PubMed  Google Scholar 

  37. 37.

    Klysner R, Bent-Hansen J, Hansen H, Lunde M, Pleidrup E, Poulsen D, et al. Efficacy of citalopram in the prevention of recurrent depression in elderly patients: placebo-controlled study of maintenance therapy. Br J Psychiatry. 2002;181:29–35.

    PubMed  Google Scholar 

  38. 38.

    Weihs K, Houser T, Batey S, Ascher J, Bolden-Watson C, Donahue R, et al. Continuation phase treatment with bupropion SR effectively decreases the risk for relapse of depression. Biol Psychiatry. 2002;51:753–61.

    CAS  PubMed  Google Scholar 

  39. 39.

    Wilson K, Mottram P, Ashworth L, Abou-Saleh M. Older community residents with depression: long-term treatment with sertraline. Randomised, double-blind, placebo-controlled study. Br J Psychiatry. 2003;182:492–7.

    CAS  PubMed  Google Scholar 

  40. 40.

    Montgomery S, Entsuah R, Hackett D, Kunz N, Rudolph R. Venlafaxine versus placebo in the preventive treatment of recurrent major depression. J Clin Psychiatry. 2004;65:328–36.

    CAS  PubMed  Google Scholar 

  41. 41.

    Goodwin G, Emsley R, Rembry S, Rouillon F. Agomelatine prevents relapse in patients with major depressive disorder without evidence of a discontinuation syndrome: a 24-week randomized, double-blind, placebo-controlled trial. J Clin Psychiatry. 2009;70:1128–37.

    PubMed  Google Scholar 

  42. 42.

    Perahia D, Maina G, Thase M, Spann M, Wang F, Walker D, et al. Duloxetine in the prevention of depressive recurrences: a randomized, double-blind, placebo-controlled trial. J Clin Psychiatry. 2009;70:706–16.

    CAS  PubMed  Google Scholar 

  43. 43.

    Rickels K, Montgomery S, Tourian K, Guelfi J, Pitrosky B, Padmanabhan S, et al. Desvenlafaxine for the prevention of relapse in major depressive disorder: results of a randomized trial. J Clin Psychopharmacol. 2010;30:18–24.

    CAS  PubMed  Google Scholar 

  44. 44.

    Segal Z, Bieling P, Young T, MacQueen G, Cooke R, Martin L, et al. Antidepressant monotherapy vs sequential pharmacotherapy and mindfulness-based cognitive therapy, or placebo, for relapse prophylaxis in recurrent depression. Arch Gen Psychiatry. 2010;67:1256–64.

    PubMed  PubMed Central  Google Scholar 

  45. 45.

    Boulenger J, Loft H, Florea I. A randomized clinical study of Lu AA21004 in the prevention of relapse in patients with major depressive disorder. J Psychopharmacol. 2012;26:1408–16.

    CAS  PubMed  Google Scholar 

  46. 46.

    Goodwin G, Boyer P, Emsley R, Rouillon F, Bodinat C. Is it time to shift to better characterization of patients in trials assessing novel antidepressants? An example of two relapse prevention studies with agomelatine. Int Clin Psychopharmacol. 2013;28:20–28.

    PubMed  Google Scholar 

  47. 47.

    Rosenthal J, Boyer P, Vialet C, Hwang E, Tourian K. Efficacy and safety of desvenlafaxine 50 mg/d for prevention of relapse in major depressive disorder: a randomized controlled trial. J Clin Psychiatry. 2013;74:158–66.

    CAS  PubMed  Google Scholar 

  48. 48.

    Shiovitz T, Greenberg W, Chen C, Forero G, Gommoll C. A randomized, double-blind, placebo-controlled trial of the efficacy and safety of levomilnacipran ER 40-120mg/day for prevention of relapse in patients with major depressive disorder. Innov Clin Neurosci. 2014;11:10–22.

    PubMed  PubMed Central  Google Scholar 

  49. 49.

    Cheung A, Kusumakar V, Kutcher S, Dubo E, Garland J, Weiss M, et al. Maintenance study for adolescent depression. J Child Adolesc Psychopharmacol. 2008;18:389–94.

    PubMed  Google Scholar 

  50. 50.

    Gorwood P, Weiller E, Lemming O, Katona C. Escitalopram prevents relapse in older patients with major depressive disorder. Am J Geriatr Psychiatry. 2007;15:581–93.

    PubMed  Google Scholar 

  51. 51.

    Emslie GJ, Heiligenstein JH, Hoog SL, Wagner KD, Findling RL, McCracken JT, et al. Fluoxetine treatment for prevention of relapse of depression in children and adolescents: a double-blind, placebo-controlled study. J Am Acad Child Adolesc Psychiatry. 2004;43:1397–405.

    PubMed  Google Scholar 

  52. 52.

    Emslie GJ, Kennard BD, Mayes TL, Nightingale-Teresi J, Carmody T, Hughes CW, et al. Fluoxetine versus placebo in preventing relapse of major depression in children and adolescents. Am J Psychiatry. 2008;165:459–67.

    PubMed  PubMed Central  Google Scholar 

  53. 53.

    Rapaport M, Bose A, Zheng H. Escitalopram continuation treatment prevents relapse of depressive episodes. J Clin Psychiatry. 2004;65:44–49.

    CAS  PubMed  Google Scholar 

  54. 54.

    Simon J, Aguiar L, Kunz N, Lei D. Extended-release venlafaxine in relapse prevention for patients with major depressive disorder. J Psychiatr Res. 2004;38:249–57.

    PubMed  Google Scholar 

  55. 55.

    Fava M, Detke M, Balestrieri M, Wang F, Raskin J, Perahia D. Management of depression relapse: re-initiation of duloxetine treatment or dose increase. J Psychiatr Res. 2006;40:328–36.

    PubMed  Google Scholar 

  56. 56.

    McGrath P, Stewart J, Quitkin F, Chen Y, Alpert J, Nierenberg A, et al. Predictors of relapse in a prospective study of fluoxetine treatment of major depression. Am J Psychiatry. 2006;163:1542–8.

    PubMed  Google Scholar 

  57. 57.

    Kocsis J, Thase M, Trivedi M, Shelton R, Kornstein S, Nemeroff C, et al. Prevention of recurrent episodes of depression with venlafaxine ER in a 1-year maintenance phase from the PREVENT Study. J Clin Psychiatry. 2007;68:1014–23.

    CAS  PubMed  Google Scholar 

  58. 58.

    Dobson K, Hollon S, Dimidjian S, Schmaling K, Kohlenberg R, Gallop R, et al. Randomized trial of behavioral activation, cognitive therapy, and antidepressant medication in the prevention of relapse and recurrence in major depression. J Consulting Clin Psychol. 2008;76:468–77.

    Google Scholar 

  59. 59.

    Dekker J, Jonghe F, Tuynman H. The use of anti-depressants after recovery from depression. Eur J Psychiatry. 2000;14:207–12.

    Google Scholar 

  60. 60.

    Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315:629–34.

    CAS  PubMed  PubMed Central  Google Scholar 

  61. 61.

    Baldessarini RJ, Lau WK, Sim J, Sum MY, Sim K. Duration of initial antidepressant treatment and subsequent relapse of major depression. J Clin Psychopharmacol. 2015;35:75–76.

    CAS  PubMed  Google Scholar 

  62. 62.

    Cox GR, Fisher CA, De Silva S, Phelan M, Akinwale OP, Simmons MB, et al. Interventions for preventing relapse and recurrence of a depressive disorder in children and adolescents. Cochrane Database Syst Rev. 2012;11:CD007504.

    PubMed  Google Scholar 

  63. 63.

    Wilkinson P, Izmeth Z. Continuation and maintenance treatments for depression in older people. Cochrane Database Syst Rev. 2016;9:CD006727.

    PubMed  Google Scholar 

  64. 64.

    Furukawa TA, Cipriani A, Barbui C, Geddes JR. Long-term treatment of depression with antidepressants: a systematic narrative review. Can J Psychiatry Rev Canadienne de Psychiatr. 2007;52:545–52.

    Google Scholar 

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This study was supported by research grants from the Ministry of Health, Labor and Welfare of Japan (H29-SEISHIN-ippan-001, 19GC1012).

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Correspondence to Masaki Kato.

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Conflict of interest

The authors have declared that there are no conflicts of interest in relation to the subject of this study. We have had the following interests for the past 3 years. MK has received grant funding from the Japan Society for the Promotion of Science, SENSHIN Medical Research Foundation and Japan Research Foundation for Clinical Pharmacology, and speaker’s honoraria from Sumitomo Dainippon Pharma, Otsuka, Meiji-Seika Pharma, Eli Lilly, MSD K.K., GlaxoSmithKline, Pfizer, Janssen Pharmaceutical, Shionogi, Mitsubishi Tanabe Pharma, Takeda Pharmaceutical, Lundbeck and Ono Pharmaceutical. Dr. Hori has received grant funding from Ministry of Education, Culture, Sports, Science and Technology Japan and UOEH Research Grant for Promotion of Occupational Health and speaker’s honoraria from Sumitomo Dainippon Pharma, Otsuka, Meiji-Seika Pharma, Eli Lilly, MSD K.K., Pfizer, Janssen Pharmaceutical, Shionogi, Takeda Pharmaceutical and Lundbeck. Dr. Inoue has received speaker’s honoraria from Mochida Pharmaceutical, Takeda Pharmaceutical, Eli Lilly, Janssen Pharmaceutical, MSD, Taisho Toyama Pharmaceutical, Yoshitomiyakuhin, and Daiichi Sankyo; grants from Shionogi, Astellas, Tsumura, and Eisai; grants and speaker’s honoraria from Otsuka Pharmaceutical, Dainippon Sumitomo Pharma, Mitsubishi Tanabe Pharma, Kyowa Pharmaceutical Industry, Pfizer, Novartis Pharma, and Meiji Seika Pharma; and is a member of the advisory boards of Pfizer, Novartis Pharma, and Mitsubishi Tanabe Pharma. Dr. Tajika received the lecture fee from Mitsubishi-Tanabe, Otsuka and Sumitomo Dainippon Pharma. Dr. Inagaki was employed through an endowed chair sponsored by the Government of Shiga Prefecture, Japan, from 2010 to 2016, has received grant funding from National Mutual Insurance Federation of Agricultural Cooperatives, Shionogi & Co., Ltd, Otsuka Pharmaceutical Co., Ltd, Shiga University of Medical Science and The Shiga Medical Science Association for International Cooperation and speaker’s honoraria from Japan Laim Corporation, Otsuka Pharmaceutical Co.,Ltd and Yoshitomiyakuhin Corporation. Dr. Iga has received grant funding from the Japan Society for the Promotion of Science and speaker’s honoraria from Sumitomo Dainippon Pharma, Otsuka, Meiji-Seika Pharma, Eli Lilly, MSD K.K., Novartis Pharma K.K., Sanofi K.K., Mochida Pharmaceutical, Takeda Pharmaceutical, Yoshitomiyakuhin, Eisai, Mylan, Sawai Pharmaceutical, Kyowa pharmaceutical industry, and Ono Pharmaceutical. Dr. Iwata has received grant funding from Japan Society for the Promotion Science, SENSHIN Medical Research Foundation, Japan Agency for Medical Research and Development and Osaka Gas, and speaker’s honoraria from Sumitomo Dainippon Pharma, Otsuka, Meiji-Seika Pharma, Eli Lilly, MSD K.K., Pfizer, Janssen Pharmaceutical and Mochida Pharmaceutical. Dr. Imai received the lecture fee from Tanabe-Mitsubishi pharma and Kyowa pharmaceutical industry outside the submitted work. Dr, Mishima has received research support from the Japanese Ministry of Health, Labor and Welfare (H29-Seishin-Ippan-001, 19GC1012); the Japanese Ministry of Education, Science, and Technology; and the National. Center of Neurology and Psychiatry Intramural Research Grant for Neurological and Psychiatric Disorders, and also collaborative research fund with Taisho Pharmaceutical Co., Ltd., speaker’s honoraria from Eisai Co., Ltd., MSD Inc., Takeda Pharmaceutical Co., Ltd., Astellas Pharma Inc., and Janssen Pharmaceutical along with research grants from Eisai Co., Ltd., Nobelpharma Co., Ltd., and Takeda Pharmaceutical Co., Ltd.

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Kato, M., Hori, H., Inoue, T. et al. Discontinuation of antidepressants after remission with antidepressant medication in major depressive disorder: a systematic review and meta-analysis. Mol Psychiatry 26, 118–133 (2021).

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