Augmentation strategies for treatment resistant major depression: A systematic review and network meta-analysis
Open accessAbstract
Objective To compare the efficacy and discontinuation of augmentation agents in adult patients with treatment-resistant depression (TRD). We conducted a systematic review and network meta-analyses (NMA) to combine direct and indirect comparisons of augmentation agents. Methods We included randomized controlled trials comparing one active drug with another or with placebo following a treatment course up to 24 weeks. Nineteen agents were included: stimulants, atypical antipsychotics, thyroid hormones, antidepressants, and mood stabilizers. Data for response/remission and all-cause discontinuation rates were analyzed. We estimated effect-size by relative risk using pairwise and NMA with random-effects model. Results A total of 65 studies (N = 12,415) with 19 augmentation agents were included in the NMA. Our findings from the NMA for response rates, compared to placebo, were significant for: liothyronine, nortriptyline, aripiprazole, brexpiprazole, quetiapine, lithium, modafinil, olanzapine (fluoxetine), cariprazine, and lisdexamfetamine. For remission rates, compared to placebo, were significant for: thyroid hormone(T4), aripiprazole, brexpiprazole, risperidone, quetiapine, and olanzapine (fluoxetine). Compared to placebo, ziprasidone, mirtazapine, and cariprazine had statistically significant higher discontinuation rates. Overall, 24% studies were rated as having low risk of bias (RoB), 63% had moderate RoB and 13% had high RoB. Limitations Heterogeneity in TRD definitions, variable trial duration and methodological clinical design of older studies and small number of trials per comparisons. Conclusions This NMA suggests a superiority of the regulatory approved adjunctive atypical antipsychotics, thyroid hormones, dopamine compounds (modafinil and lisdexamfetamine) and lithium. Acceptability was lower with ziprasidone, mirtazapine, and cariprazine. Further research and head-to-head studies should be considered to strengthen the best available options for TRD.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
9 of 54 cited sources checked · 3 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Earlier meta-analyses found evidence supporting atypical antipsychotics, lithium, ketamine, and esketamine.
“Previous meta-analyses have shown evidence for the use of AAs, lithium, ketamine and esketamine (Carter et al., 2020; Strawbridge et al., 2019; Vázquez et al., 2021; Zhou et al., 2015).”
Quote in the paperSubstantial claim2 of 3 sources checked- cites Carter et al., 2020 source
- cites Strawbridge et al., 2019 source
The Clinical implications table reports meta-analytic results for antipsychotics, lithium and ketamine. The discussion describes aripiprazole as effective and lithium evidence as promising but less certain. Our copy does not report results for esketamine, so this source supports only part of the cited sentence. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Vázquez et al., 2021 source
The Results (Meta-analyses; page not provided) report efficacy for adjunctive second-generation antipsychotics, intranasal esketamine, and lithium in major depression. The paper’s analysis does not include ketamine as a separate treatment, so it does not support that part of the sentence. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Findingcitation
Quetiapine at a mean dose of 156.74 ± 97.6 mg/day showed significant benefits for both response and remission rates compared to placebo.
“In addition, quetiapine (mean dose,156.74 ± 97.6 mg/day) showed significant benefits for both response and remission rates compared to placebo, which is in accordance with current clinical recommendations for augmentation strategies for MDD (Cleare et al., 2015; Kennedy et al., 2016).”
Quote in the paperSubstantial claim1 of 2 sources checked- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
In the network meta-analysis, lithium augmentation produced a significantly higher response rate than placebo.
“Our findings from the NMA for response rates, compared to placebo, were significant for: liothyronine, nortriptyline, aripiprazole, brexpiprazole, quetiapine, lithium, modafinil, olanzapine (fluoxetine), cariprazine, and lisdexamfetamine.”
Quote in the paperSubstantial claim- Rests on an assumption: Response and remission definitions across the included trials are comparable enough to combine.
- Findingown data
In the network meta-analysis, risperidone augmentation produced a significantly higher remission rate than placebo.
“For remission rates, compared to placebo, were significant for: thyroid hormone(T4), aripiprazole, brexpiprazole, risperidone, quetiapine, and olanzapine (fluoxetine).”
Quote in the paperSubstantial claim- Rests on an assumption: Response and remission definitions across the included trials are comparable enough to combine.
- Findingown data
In the network meta-analysis, quetiapine augmentation produced a significantly higher remission rate than placebo.
“For remission rates, compared to placebo, were significant for: thyroid hormone(T4), aripiprazole, brexpiprazole, risperidone, quetiapine, and olanzapine (fluoxetine).”
Quote in the paperSubstantial claim- Rests on an assumption: Response and remission definitions across the included trials are comparable enough to combine.
- Findingown data
For response rates, olanzapine (fluoxetine) was statistically significantly more effective than placebo.
“In order of decreasing efficacy, T3, nortriptyline, aripiprazole, brexpiprazole, quetiapine, lithium, modafinil, olanzapine (fluoxetine), cariprazine and lisdexamfetamine were statistically significant compared to placebo, with RRs ranging from 1.18 (1.03–1.37) for lisdexamfetamine to 1.90 (1.16–3.11) for T3.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
For response rates, lisdexamfetamine was statistically significantly more effective than placebo, with a risk ratio of 1.18 (95% CI 1.03-1.37).
“In order of decreasing efficacy, T3, nortriptyline, aripiprazole, brexpiprazole, quetiapine, lithium, modafinil, olanzapine (fluoxetine), cariprazine and lisdexamfetamine were statistically significant compared to placebo, with RRs ranging from 1.18 (1.03–1.37) for lisdexamfetamine to 1.90 (1.16–3.11) for T3.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
In the network meta-analysis, aripiprazole augmentation produced a significantly higher response rate than placebo.
“Our findings from the NMA for response rates, compared to placebo, were significant for: liothyronine, nortriptyline, aripiprazole, brexpiprazole, quetiapine, lithium, modafinil, olanzapine (fluoxetine), cariprazine, and lisdexamfetamine.”
Quote in the paperSubstantial claim- Rests on an assumption: Response and remission definitions across the included trials are comparable enough to combine.
- Findingown data
In the network meta-analysis, brexpiprazole augmentation produced a significantly higher remission rate than placebo.
“For remission rates, compared to placebo, were significant for: thyroid hormone(T4), aripiprazole, brexpiprazole, risperidone, quetiapine, and olanzapine (fluoxetine).”
Quote in the paperSubstantial claim- Rests on an assumption: Response and remission definitions across the included trials are comparable enough to combine.
- Findingown data
In the network meta-analysis, brexpiprazole augmentation produced a significantly higher response rate than placebo.
“Our findings from the NMA for response rates, compared to placebo, were significant for: liothyronine, nortriptyline, aripiprazole, brexpiprazole, quetiapine, lithium, modafinil, olanzapine (fluoxetine), cariprazine, and lisdexamfetamine.”
Quote in the paperSubstantial claim- Rests on an assumption: Response and remission definitions across the included trials are comparable enough to combine.
- Findingown data
For response rates, modafinil was statistically significantly more effective than placebo.
“In order of decreasing efficacy, T3, nortriptyline, aripiprazole, brexpiprazole, quetiapine, lithium, modafinil, olanzapine (fluoxetine), cariprazine and lisdexamfetamine were statistically significant compared to placebo, with RRs ranging from 1.18 (1.03–1.37) for lisdexamfetamine to 1.90 (1.16–3.11) for T3.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
In the network meta-analysis, liothyronine augmentation produced a significantly higher response rate than placebo.
“Our findings from the NMA for response rates, compared to placebo, were significant for: liothyronine, nortriptyline, aripiprazole, brexpiprazole, quetiapine, lithium, modafinil, olanzapine (fluoxetine), cariprazine, and lisdexamfetamine.”
Quote in the paperSubstantial claim- Rests on an assumption: Response and remission definitions across the included trials are comparable enough to combine.
- Findingown data
In the network meta-analysis, lisdexamfetamine augmentation produced a significantly higher response rate than placebo.
“Our findings from the NMA for response rates, compared to placebo, were significant for: liothyronine, nortriptyline, aripiprazole, brexpiprazole, quetiapine, lithium, modafinil, olanzapine (fluoxetine), cariprazine, and lisdexamfetamine.”
Quote in the paperSubstantial claim- Rests on an assumption: Response and remission definitions across the included trials are comparable enough to combine.
- Findingown data
In the network meta-analysis, quetiapine augmentation produced a significantly higher response rate than placebo.
“Our findings from the NMA for response rates, compared to placebo, were significant for: liothyronine, nortriptyline, aripiprazole, brexpiprazole, quetiapine, lithium, modafinil, olanzapine (fluoxetine), cariprazine, and lisdexamfetamine.”
Quote in the paperSubstantial claim- Rests on an assumption: Response and remission definitions across the included trials are comparable enough to combine.
- Findingown data
In the network meta-analysis, ziprasidone augmentation had a significantly higher discontinuation rate than placebo.
“Compared to placebo, ziprasidone, mirtazapine, and cariprazine had statistically significant higher discontinuation rates.”
Quote in the paperNot a substantial claim- Rests on an assumption: All-cause discontinuation is a valid proxy for overall acceptability.
- Findingown data
In the network meta-analysis, cariprazine augmentation produced a significantly higher response rate than placebo.
“Our findings from the NMA for response rates, compared to placebo, were significant for: liothyronine, nortriptyline, aripiprazole, brexpiprazole, quetiapine, lithium, modafinil, olanzapine (fluoxetine), cariprazine, and lisdexamfetamine.”
Quote in the paperSubstantial claim- Rests on an assumption: Response and remission definitions across the included trials are comparable enough to combine.
- Findingown data
In the network meta-analysis, nortriptyline augmentation produced a significantly higher response rate than placebo.
“Our findings from the NMA for response rates, compared to placebo, were significant for: liothyronine, nortriptyline, aripiprazole, brexpiprazole, quetiapine, lithium, modafinil, olanzapine (fluoxetine), cariprazine, and lisdexamfetamine.”
Quote in the paperSubstantial claim- Rests on an assumption: Response and remission definitions across the included trials are comparable enough to combine.
- Findingown data
In the network meta-analysis, thyroid hormone (T4) augmentation produced a significantly higher remission rate than placebo.
“For remission rates, compared to placebo, were significant for: thyroid hormone(T4), aripiprazole, brexpiprazole, risperidone, quetiapine, and olanzapine (fluoxetine).”
Quote in the paperSubstantial claim- Rests on an assumption: Response and remission definitions across the included trials are comparable enough to combine.
- Findingown data
Nine multi-arm trials (N = 972) had treatment durations of 2 to 8 weeks.
“and 9 studies were multi-arm studies (Fang et al., 2011; Franco-Chaves et al., 2013; Joffe et al., 1993; Joffe and Singer, 1990, 2006; Shelton et al., 2001; Shelton et al., 2005; Yoshimura et al., 2014, 2012) with a sample size of (N = 972), and treatment duration of 2–8 weeks.”
Quote in the paperNot a substantial claim - Findingown data
For response rates, quetiapine was statistically significantly more effective than placebo.
“In order of decreasing efficacy, T3, nortriptyline, aripiprazole, brexpiprazole, quetiapine, lithium, modafinil, olanzapine (fluoxetine), cariprazine and lisdexamfetamine were statistically significant compared to placebo, with RRs ranging from 1.18 (1.03–1.37) for lisdexamfetamine to 1.90 (1.16–3.11) for T3.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
For response rates, brexpiprazole was statistically significantly more effective than placebo.
“In order of decreasing efficacy, T3, nortriptyline, aripiprazole, brexpiprazole, quetiapine, lithium, modafinil, olanzapine (fluoxetine), cariprazine and lisdexamfetamine were statistically significant compared to placebo, with RRs ranging from 1.18 (1.03–1.37) for lisdexamfetamine to 1.90 (1.16–3.11) for T3.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
In the network meta-analysis, mirtazapine augmentation had a significantly higher discontinuation rate than placebo.
“Compared to placebo, ziprasidone, mirtazapine, and cariprazine had statistically significant higher discontinuation rates.”
Quote in the paperNot a substantial claim- Rests on an assumption: All-cause discontinuation is a valid proxy for overall acceptability.
- Findingown data
In the network meta-analysis, cariprazine augmentation had a significantly higher discontinuation rate than placebo.
“Compared to placebo, ziprasidone, mirtazapine, and cariprazine had statistically significant higher discontinuation rates.”
Quote in the paperNot a substantial claim- Rests on an assumption: All-cause discontinuation is a valid proxy for overall acceptability.
- Findingown data
In the network meta-analysis, modafinil augmentation produced a significantly higher response rate than placebo.
“Our findings from the NMA for response rates, compared to placebo, were significant for: liothyronine, nortriptyline, aripiprazole, brexpiprazole, quetiapine, lithium, modafinil, olanzapine (fluoxetine), cariprazine, and lisdexamfetamine.”
Quote in the paperSubstantial claim- Rests on an assumption: Response and remission definitions across the included trials are comparable enough to combine.
- Findingown data
In the network meta-analysis, aripiprazole augmentation produced a significantly higher remission rate than placebo.
“For remission rates, compared to placebo, were significant for: thyroid hormone(T4), aripiprazole, brexpiprazole, risperidone, quetiapine, and olanzapine (fluoxetine).”
Quote in the paperSubstantial claim- Rests on an assumption: Response and remission definitions across the included trials are comparable enough to combine.
- Findingown data
In the network meta-analysis, olanzapine (fluoxetine) augmentation produced a significantly higher response rate than placebo.
“Our findings from the NMA for response rates, compared to placebo, were significant for: liothyronine, nortriptyline, aripiprazole, brexpiprazole, quetiapine, lithium, modafinil, olanzapine (fluoxetine), cariprazine, and lisdexamfetamine.”
Quote in the paperSubstantial claim- Rests on an assumption: Response and remission definitions across the included trials are comparable enough to combine.
- Findingown data
For response rates, nortriptyline was statistically significantly more effective than placebo.
“In order of decreasing efficacy, T3, nortriptyline, aripiprazole, brexpiprazole, quetiapine, lithium, modafinil, olanzapine (fluoxetine), cariprazine and lisdexamfetamine were statistically significant compared to placebo, with RRs ranging from 1.18 (1.03–1.37) for lisdexamfetamine to 1.90 (1.16–3.11) for T3.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
For response rates, lithium was statistically significantly more effective than placebo.
“In order of decreasing efficacy, T3, nortriptyline, aripiprazole, brexpiprazole, quetiapine, lithium, modafinil, olanzapine (fluoxetine), cariprazine and lisdexamfetamine were statistically significant compared to placebo, with RRs ranging from 1.18 (1.03–1.37) for lisdexamfetamine to 1.90 (1.16–3.11) for T3.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
In the network meta-analysis, olanzapine (fluoxetine) augmentation produced a significantly higher remission rate than placebo.
“For remission rates, compared to placebo, were significant for: thyroid hormone(T4), aripiprazole, brexpiprazole, risperidone, quetiapine, and olanzapine (fluoxetine).”
Quote in the paperSubstantial claim- Rests on an assumption: Response and remission definitions across the included trials are comparable enough to combine.
- Findingown data
For response rates, aripiprazole was statistically significantly more effective than placebo.
“In order of decreasing efficacy, T3, nortriptyline, aripiprazole, brexpiprazole, quetiapine, lithium, modafinil, olanzapine (fluoxetine), cariprazine and lisdexamfetamine were statistically significant compared to placebo, with RRs ranging from 1.18 (1.03–1.37) for lisdexamfetamine to 1.90 (1.16–3.11) for T3.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
For response rates, cariprazine was statistically significantly more effective than placebo.
“In order of decreasing efficacy, T3, nortriptyline, aripiprazole, brexpiprazole, quetiapine, lithium, modafinil, olanzapine (fluoxetine), cariprazine and lisdexamfetamine were statistically significant compared to placebo, with RRs ranging from 1.18 (1.03–1.37) for lisdexamfetamine to 1.90 (1.16–3.11) for T3.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
For response rates, heterogeneity was not statistically significant (I2=9.8%, p=0.541).
“Heterogeneity (I2=9.8%, p = 0.541) or inconsistency (p = 0.085) were not statistically significant.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
For response rates, T3 was statistically significantly more effective than placebo, with a risk ratio of 1.90 (95% CI 1.16-3.11).
“In order of decreasing efficacy, T3, nortriptyline, aripiprazole, brexpiprazole, quetiapine, lithium, modafinil, olanzapine (fluoxetine), cariprazine and lisdexamfetamine were statistically significant compared to placebo, with RRs ranging from 1.18 (1.03–1.37) for lisdexamfetamine to 1.90 (1.16–3.11) for T3.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
In a post-hoc analysis including the Dunner et al. study, ziprasidone had a remission rate risk ratio of 1.27 (95% CI 0.81-2.00).
“However, as a post-hoc analysis, when we included the study by Dunner et al, the RR for ziprasidone response rate, remission rate, and discontinuation rate were 1.80 (1.06–3.08), 1.27 (0.81–2.00), and 2.53 (1.07, 5.98), respectively.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
Lithium combined with TCAs, SSRIs, or other antidepressants, at doses of 300-1200 mg and durations of 1-12 weeks, appears more effective than placebo.
“Our results examining mood stabilizers suggested that lithium in combination with TCAs, SSRIs, or other antidepressants, dose range between 300 and 1200 mg, and duration between 1 and 12 weeks appears to be more effective than placebo.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
For remission rates, T4 was statistically significantly more effective than placebo, with a risk ratio of 1.91 (95% CI 1.04-3.52).
“In order of efficacy, T4, aripiprazole, risperidone, quetiapine, olanzapine(fluoxetine), brexpiprazole were statistically significant compared to placebo with RRs ranging from 1.44 (1.00–2.08) for brexpiprazole to 1.91 (1.04–3.52) for T4.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
In a sub-analysis of seven lithium augmentation studies lasting three weeks or less, lithium had a significantly higher response rate than placebo (RR=2.43, 95% CI 1.45-4.07, p<0.0007).
“Lithium showed a significantly higher response rate than placebo (RR=2.43, 95% CI:1.45–4.07, p<0.0007) in this subset (Appendix 3, Fig. 3).”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
For remission rates, quetiapine was statistically significantly more effective than placebo.
“In order of efficacy, T4, aripiprazole, risperidone, quetiapine, olanzapine(fluoxetine), brexpiprazole were statistically significant compared to placebo with RRs ranging from 1.44 (1.00–2.08) for brexpiprazole to 1.91 (1.04–3.52) for T4.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
In sensitivity analyses excluding one or both studies with mixed MDD and bipolar-II populations, the findings remained fairly consistent with the main results.
“Overall, the findings remain fairly consistent with the main results (Appendix 3. Fig. 2 a & b).”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
For response rates, inconsistency was not statistically significant (p=0.085).
“Heterogeneity (I2=9.8%, p = 0.541) or inconsistency (p = 0.085) were not statistically significant.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
In a post-hoc analysis including the Dunner et al. study, ziprasidone had a response rate risk ratio of 1.80 (95% CI 1.06-3.08).
“However, as a post-hoc analysis, when we included the study by Dunner et al, the RR for ziprasidone response rate, remission rate, and discontinuation rate were 1.80 (1.06–3.08), 1.27 (0.81–2.00), and 2.53 (1.07, 5.98), respectively.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
In a post-hoc sub-analysis of three short-duration (three weeks or less) thyroid augmentation studies, the response rate was not statistically significant compared to placebo (RR=1.79; 0.48-6.67).
“The response rate with thyroid augmentation was not statistically significant compared to placebo (RR= 1.79; 0.48– 6.67).”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
For all-cause discontinuation, heterogeneity was not statistically significant (I2=17.3%, p=0.251).
“Heterogeneity was not statistically significant (I2=17.3%, p = 0.251) or inconsistency (p = 0.167).”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
Two included studies had patients with major depressive disorder and bipolar-II disorder but did not report separate outcomes for the MDD patients.
“Two studies (Barbosa et al., 2003; Carpenter et al., 2002) had included patients with MDD (n=38) and bipolar-II disorder (n=11), without providing separate outcomes for MDD patients.”
Quote in the paperNot a substantial claim0 of 2 sources checked - Findingown data
For remission rates, olanzapine (fluoxetine) was statistically significantly more effective than placebo.
“In order of efficacy, T4, aripiprazole, risperidone, quetiapine, olanzapine(fluoxetine), brexpiprazole were statistically significant compared to placebo with RRs ranging from 1.44 (1.00–2.08) for brexpiprazole to 1.91 (1.04–3.52) for T4.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
All-cause discontinuation rates were significantly higher than placebo for ziprasidone (RR=20.12, 95% CI 1.17-344.58).
“Discontinuation rates were significantly higher compared to placebo for ziprasidone (RR= 20.12, 95% CI 1.17–344.58), mirtazapine (RR= 4.12, 95% CI, 1.97–8.63), and cariprazine (RR= 1.72 (95% CI 1.09–2.73).”
- Also stated in: § Conclusion · plain
“Our data reflects that ziprasidone, mirtazapine, and cariprazine had higher risk for discontinuation.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Also stated in: § Conclusion · plain
- Findingown data
In a post-hoc analysis including the Dunner et al. study, ziprasidone had a discontinuation rate risk ratio of 2.53 (95% CI 1.07-5.98).
“However, as a post-hoc analysis, when we included the study by Dunner et al, the RR for ziprasidone response rate, remission rate, and discontinuation rate were 1.80 (1.06–3.08), 1.27 (0.81–2.00), and 2.53 (1.07, 5.98), respectively.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
For remission rates, heterogeneity was not statistically significant (I2=2.4%, p=0.473).
“Heterogeneity (I2=2.4%, p = 0.473) or inconsistency (p = 0.306) were not statistically significant.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
Lithium remission rates were not significantly different from placebo.
“However, we should acknowledge that remission rates were not significant compared to placebo.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
For remission rates, aripiprazole was statistically significantly more effective than placebo.
“In order of efficacy, T4, aripiprazole, risperidone, quetiapine, olanzapine(fluoxetine), brexpiprazole were statistically significant compared to placebo with RRs ranging from 1.44 (1.00–2.08) for brexpiprazole to 1.91 (1.04–3.52) for T4.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
All-cause discontinuation rates were significantly higher than placebo for mirtazapine (RR=4.12, 95% CI 1.97-8.63).
“Discontinuation rates were significantly higher compared to placebo for ziprasidone (RR= 20.12, 95% CI 1.17–344.58), mirtazapine (RR= 4.12, 95% CI, 1.97–8.63), and cariprazine (RR= 1.72 (95% CI 1.09–2.73).”
- Also stated in: § Conclusion · plain
“Our data reflects that ziprasidone, mirtazapine, and cariprazine had higher risk for discontinuation.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Also stated in: § Conclusion · plain
- Findingown data
All-cause discontinuation rates were significantly higher than placebo for cariprazine (RR=1.72, 95% CI 1.09-2.73).
“Discontinuation rates were significantly higher compared to placebo for ziprasidone (RR= 20.12, 95% CI 1.17–344.58), mirtazapine (RR= 4.12, 95% CI, 1.97–8.63), and cariprazine (RR= 1.72 (95% CI 1.09–2.73).”
- Also stated in: § Conclusion · plain
“Our data reflects that ziprasidone, mirtazapine, and cariprazine had higher risk for discontinuation.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Also stated in: § Conclusion · plain
- Findingown data
For remission rates, risperidone was statistically significantly more effective than placebo.
“In order of efficacy, T4, aripiprazole, risperidone, quetiapine, olanzapine(fluoxetine), brexpiprazole were statistically significant compared to placebo with RRs ranging from 1.44 (1.00–2.08) for brexpiprazole to 1.91 (1.04–3.52) for T4.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
Lamotrigine at 100-400 mg daily has limited efficacy compared to placebo.
“Our results showed that lamotrigine (100–400 mg daily dose) has limited efficacy compared to placebo.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
For all-cause discontinuation, inconsistency was not statistically significant (p=0.167).
“Heterogeneity was not statistically significant (I2=17.3%, p = 0.251) or inconsistency (p = 0.167).”
Quote in the paperNot a substantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
For remission rates, brexpiprazole was statistically significantly more effective than placebo, with a risk ratio of 1.44 (95% CI 1.00-2.08).
“In order of efficacy, T4, aripiprazole, risperidone, quetiapine, olanzapine(fluoxetine), brexpiprazole were statistically significant compared to placebo with RRs ranging from 1.44 (1.00–2.08) for brexpiprazole to 1.91 (1.04–3.52) for T4.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingown data
For remission rates, inconsistency was not statistically significant (p=0.306).
“Heterogeneity (I2=2.4%, p = 0.473) or inconsistency (p = 0.306) were not statistically significant.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Findingcitation
Olanzapine augmentation of SSRIs, primarily fluoxetine, at a mean dose of 8.5 ± 3.9 mg/day had a higher remission rate compared to placebo or SSRI alone.
“Similar to Spielmans et al’s meta-analysis (Spielmans et al., 2016), we found that the olanzapine augmentation of SSRIs (primarily fluoxetine) (mean dose 8.5 mg/day± 3.9) had a higher remission rate compared to placebo/SSRI.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Spielmans et al., 2016 source
- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Premisecitation
Recent systematic reviews support dopaminergic compounds for both unipolar and bipolar depression.
“Recent systematic reviews support the use of dopaminergic compounds (stimulants and stimulants-like compounds) both for unipolar and bipolar depression (McIntyre et al., 2017; Nunez et al., 2020; Szmulewicz et al., 2017).”
Quote in the paperNot a substantial claim0 of 3 sources checked - Interpretationown data
The network meta-analysis indicates that adjunctive atypical antipsychotics approved by regulators, thyroid hormones, dopamine compounds (modafinil and lisdexamfetamine), and lithium are superior.
“This NMA suggests a superiority of the regulatory approved adjunctive atypical antipsychotics, thyroid hormones, dopamine compounds (modafinil and lisdexamfetamine) and lithium.”
Quote in the paperSubstantial claim- Rests on an assumption: The trials included in the network meta-analysis are sufficiently similar for indirect comparisons to be valid.
- Rests on an assumption: The different definitions of treatment-resistant depression used by included trials are sufficiently comparable for pooling.
- Premisecitation
More than 30% of patients do not reach remission despite an adequate pharmacotherapy trial.
“TRD continues to be highly prevalent, with more than 30% of patients failing to achieve remission despite an adequate pharmacotherapeutic trial (Berlim and Turecki, 2007b; Rush et al., 2006).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Berlim and Turecki, 2007b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Rush et al., 2006 source
- Premisecitation
Recommendations for augmentation in major depression that is not or only partially responsive to first-line antidepressants have been inconsistent.
“Moreover, there has been a lack of consistency with recommendations for augmentation strategy in MDD not/partially responsive to first-line antidepressants (McIntyre et al., 2014).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites McIntyre et al., 2014 source
- Interpretationown data
Acceptability was lower for ziprasidone, mirtazapine, and cariprazine.
“Acceptability was lower with ziprasidone, mirtazapine, and cariprazine.”
Quote in the paperSubstantial claim- Rests on an assumption: All-cause discontinuation is a valid proxy for overall acceptability.
- Premisecitation
Brexpiprazole was FDA approved as an adjunctive treatment to oral antidepressants in major depressive disorder based on three trials showing significant reduction in depressive symptoms.
“Brexpiprazole, was FDA approved as an adjunctive treatment to oral antidepressants in MDD based on 3 trials which showed a significant reduction in depressive symptoms (Fava et al., 2016; Thase et al., 2015a; Thase et al., 2015b).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Fava et al., 2016 source
- cites Thase et al., 2015a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Thase et al., 2015b
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The network meta-analysis provides data on a potential benefit of lisdexamfetamine and modafinil for improving depressive symptomatology.
“This NMA provides data regarding a potential benefit of lisdexamfetamine and modafinil, mechanistically acting at vesicular monoamine transporter inhibition as well as dopamine reuptake inhibition respectively to improve depressive symptomatology.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Interpretationreasoning
Because the study defined treatment-resistant depression as failure of one or more antidepressants, the included patients could be less refractory than those in other TRD studies requiring two failed antidepressants.
“However, this definition has been used in prior systematic reviews and thus, the included patients could be less refractory than some other TRD studies requiring two failed antidepressants.”
Quote in the paperNot a substantial claim- Rests on an assumption: Defining treatment-resistant depression as failure of one or more antidepressants in the current episode is adequate for identifying the TRD population.
- Interpretationown data
The study suggests an evidence base for considering atypical antipsychotics, dopaminergic compounds, lithium, and thyroid hormones as effective augmentation agents for treatment-resistant depression.
“This study suggests an evidence base for considering atypical antipsychotics, dopaminergic compounds, lithium and thyroid hormones as effective augmentation agents for TRD.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Rests on an assumption: Defining treatment-resistant depression as failure of one or more antidepressants in the current episode is adequate for identifying the TRD population.
- Study design and conductreasoning
The study used strict inclusion and exclusion criteria aimed at a discrete phenotype, which limited further analysis.
“Considering the extensive and highly heterogenous studies which were conducted in the TRD population we focussed on a strict inclusion and exclusion criteria aimed at a discreet phenotype which limited further analysis.”
Quote in the paperSubstantial claim - Study design and conductown data
No indication of publication bias was found for any outcome (p>0.05).
“No indication of publication bias was found for all the outcomes (p-value >0.05) (Appendix 4, Fig. 2).”
Quote in the paperNot a substantial claim - Premisecitation
Many clinical studies have supported augmentation with atypical antipsychotics for aripiprazole, olanzapine plus fluoxetine, quetiapine, and risperidone.
“The use of augmentation with AAs has been supported by many clinical studies for aripiprazole,(Berman et al., 2007; Marcus et al., 2008) olanzapine+fluoxetine (Corya et al., 2006; Shelton et al., 2010; Shelton and Papakostas, 2008; Thase et al., 2007), quetiapine (El-Khalili et al., 2010; McIntyre et al., 2007)) and risperidone (Keitner et al., 2009; Mahmoud et al., 2007).”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationown data
The network meta-analysis of 19 agents showed that several pharmacotherapeutic agents are efficacious as adjunctive treatments for treatment-resistant depression.
“This NMA of 19 agents showed that several pharmacotherapeutic agents are efficacious as adjunctive treatments for TRD.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Rests on an assumption: Defining treatment-resistant depression as failure of one or more antidepressants in the current episode is adequate for identifying the TRD population.
- Interpretationown data
The study data support current pharmacological augmentation recommendations from several depression treatment guidelines that recommend atypical antipsychotics as first-line agents, specifically aripiprazole and quetiapine.
“Our data support current pharmacological augmentation recommendations from several treatment guidelines for depression which recommend the use of AAs as first line agents, specifically the use of aripiprazole and quetiapine (Kennedy et al., 2016; NICE, 2010; Seshadri et al., 2021).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Kennedy et al., 2016 source
- cites NICE, 2010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Seshadri et al., 2021 source
- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Interpretationcitation
The study provides evidence that brexpiprazole and cariprazine are efficacious augmentation agents in treatment-resistant depression.
“Our study provides evidence for brexpiprazole and cariprazine as efficacious augmentation agents in TRD as well.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Interpretationcitation
The results are consistent with previous NICE guidelines that showed significantly better response rates but not remission rates.
“Our results are consistent with previous NICE guidelines which showed a significantly better response rates but not remission rates (NICE, 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites NICE, 2010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Classified as probably not a substantial claim. 25
- May combine two claims. 31
- The quote only partly states this claim. 1
Classified as probably not a substantial claim.
PremisecitationPrior network meta-analyses have recommended atypical antipsychotics as augmentation agents.
“Previous studies utilizing NMA approaches have suggested the use of AAs (Zhou et al., 2015; Carter et al., 2020) as augmentation agents, although number of included trials and agents have varied across studies due to different inclusion criteria.”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Zhou et al., 2015 source
The available copy contains the paper’s title, identifying it as a network meta-analysis of augmentation agents, but the retrieved passage is repository navigation rather than the paper’s findings (no section or page is available). Searches for atypical antipsychotics and specific agents found no passage showing whether the paper recommended them. (LLM, conf=0.72)
Experimental — accuracy not yet measured - cites Carter et al., 2020 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationDirect and indirect evidence were checked for inconsistency with a chi-square test using the netheat function.
“Inconsistency between findings from pairwise meta-analyses (direct evidence) and NMA (indirect evidence) was evaluated by chi2 test using the “netheat” function (Krahn et al 2013) (Appendix 1, Table 2).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Krahn et al 2013 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationTrial methodological quality was assessed with the Cochrane Risk of Bias Tool across five domains.
“The methodological quality of the RCTs was assessed using the Cochrane collaboration’s Risk Interventions Risk of Bias Tool (Higgins et al., 2011) reporting each of its five domains (adequate randomization and allocation, blinding, loss to follow-up, selective reporting, and other sources of potential bias) into a low risk of bias, high risk of bias, or unclear risk of bias.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Higgins et al., 2011 source
The paper’s “The risk of bias tool” section confirms that the Cochrane tool assesses randomized trials and assigns low, high, or unclear risk judgments. But it explicitly describes six domains, not five; the citing sentence combines performance and detection bias under “blinding.” (LLM, conf=0.91)
Experimental — accuracy not yet measured
May combine two claims.
Interpretationown dataThe results agree with a previous network meta-analysis showing efficacy of thyroid hormones as an augmentation agent and contrast with Lorentzen and colleagues, who reported negative findings for thyroid hormones in unipolar treatment-resistant depression.
“Our results are in concordance with a previous NMA (Zhou et al., 2015) showing efficacy of thyroid hormones as an augmentation agent and in contrast to Lorentzen and colleagues who reported negative findings for the use of thyroid hormones in unipolar TRD (Lorentzen et al., 2020).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Zhou et al., 2015 source
Split into 2 atoms — 1 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites Lorentzen et al., 2020 source
- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
May combine two claims.
Interpretationown dataThese data provide further evidence of lithium's antidepressant efficacy, consistent with a recent meta-analysis.
“Importantly, these data provide further evidence of lithium’s antidepressant efficacy which is consistent with the results of a recent meta-analysis (Vázquez et al., 2021).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Vázquez et al., 2021 source
- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
May combine two claims.
FindingcitationAripiprazole as an augmentation agent at a mean dose of 10.68 ± 3.1 mg/day showed significant benefit and had low discontinuation rates.
“Aripiprazole as an augmentation agent (mean dose,10.68 ± 3.1 mg/day) showed significant benefit and had low discontinuation rates, which aligns with previous studies (Seshadri et al., 2021; Strawbridge et al., 2019).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Seshadri et al., 2021 source
- cites Strawbridge et al., 2019 source
The 'Pharmacological interventions without high' section reports a consistent effect for aripiprazole across four studies, supporting the claimed benefit. The 'Tolerability and acceptability' section discusses dropout rates but does not give a low discontinuation rate for aripiprazole, and the copy does not substantiate the stated mean dose of 10.68 ± 3.1 mg/day. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
May combine two claims.
Findingown dataNine trials (N = 1,450) compared drugs head to head, with treatment lasting up to 12 weeks.
“Nine studies (N = 1450) examined head to head drugs (Bauer et al., 2013; Cheon et al., 2017; Dorée et al., 2007; Dunner et al., 2007; Nierenberg et al., 2006; Raeisi et al., 2006; Schindler and Anghelescu, 2007; Shahal et al., 1996; Trivedi et al., 2006) with a treatment duration of up to 12 weeks.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe search retrieved 6,322 records, and 69 studies were included.
“A total of 6322 records were retrieved of which 69 studies were included (Fig. 1).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFifty-one studies (52 cohorts) compared medications with placebo; their combined sample was 10,701, and treatment duration ranged from 48 hours to 16 weeks.
“Fifty one studies (52 cohorts) evaluated medications in comparison to placebo”
- Also stated in: § Results · plain
“with a sample size of N = 10,701, and the treatment duration ranging from 48 hours–16 weeks”
Quote in the paperNot a substantial claim- Also stated in: § Results · plain
May combine two claims.
Findingown dataThe network meta-analysis pooled 65 trials involving 12,415 participants and 19 augmentation agents.
“A total of 65 studies (N = 12,415) with 19 augmentation agents were included in the NMA.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). The quote only partly states this claim.
Findingnone givenAripiprazole and quetiapine are the two most studied atypical antipsychotics.
“Aripiprazole and quetiapine are the two most studied AAs.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataT3 was significantly more effective than placebo and comparable to lithium.
“In our study, we showed T3 to be significantly more effective than placebo and comparable to lithium.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
May combine two claims.
Findingown dataThe results emphasize an improvement in response rates but not remission.
“However, we should acknowledge that our results emphasize an improvement on response rates not remission.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenDiscontinuation data were not available for nortriptyline.
“Discontinuation data was not available for nortriptyline.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenBrexpiprazole trials were of slightly shorter duration than cariprazine trials (6 versus 8 weeks).
“Brexpiprazole trials were of slightly shorter duration compared to cariprazine (6 and 8 weeks respectively).”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataAcross included trials, 24% were rated low risk of bias, 63% moderate risk, and 13% high risk.
“Overall, 24% studies were rated as having low risk of bias (RoB), 63% had moderate RoB and 13% had high RoB.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThree review authors extracted data independently.
“Data were extracted independently by three review authors (NAN, BJ, and MP) according to inclusion criteria.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationPublication bias was assessed by funnel-plot symmetry, Eggers tests, regression asymmetry tests, and trim-and-fill when asymmetry was present.
“We examined the publication bias by examining a symmetry of the funnel plot of the trials using Eggers tests and regression asymmetry tests (Begg and Mazumdar, 1994; Egger et al., 1997). In case of asymmetry we applied the trim and fill method for all outcome measures (Begg and Mazumdar, 1994).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataA comprehensive search covered multiple databases from their inception to 29 May 2020, without language restriction.
“A comprehensive search of several databases from each database’s inception to May 29th of 2020, any language, was conducted.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationAtypical antipsychotics have been reported as effective adjuncts to antidepressants.
“According to the Canadian Network for Mood and Anxiety Treatments (CANMAT) guidelines and American Psychiatric Association Practice guidelines, atypical antipsychotics (AA) have been reported as an effective augmentation strategy to antidepressants.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationGuidelines currently advise augmentation after two antidepressants fail or after partial response to a primary antidepressant.
“Current treatment guidelines recommend augmentation strategies after failure of two antidepressants or partial response with a primary antidepressant (Kennedy et al., 2016).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kennedy et al., 2016 source
Classified as probably not a substantial claim.
Premisenone givenNetwork meta-analysis can combine direct and indirect evidence when head-to-head trials are absent.
“Network meta-analysis (NMA) is a promising statistical method which allows to synthetize information from different clinical trials by combining direct and indirect evidence in the absence of head-to-head treatment comparisons.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductnone givenThe review's limitations included heterogeneity in TRD definitions, variable trial duration, methodological and clinical design issues in older studies, and few trials per comparison.
“Heterogeneity in TRD definitions, variable trial duration and methodological clinical design of older studies and small number of trials per comparisons.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe review and network meta-analysis followed PRISMA reporting guidelines.
“Our systematic review and NMA is reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement guidelines.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenTwo reviewers independently screened titles and abstracts, then separately reviewed full texts.
“Two reviewers, (NAN, MP) working independently, screened the titles and abstracts of potentially eligible articles. Subsequently, the full texts of eligible articles were reviewed separately by the same two reviewers.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationNo consensus exists on a single definition of treatment-resistant depression.
“However, consensus has not yet been established regarding an integrated definition for TRD (i.e. after trial of one or two antidepressant of same or different classes) (Berlim and Turecki, 2007a).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Berlim and Turecki, 2007a
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationCarter and colleagues performed a systematic review and network meta-analysis of drug and psychological augmentation for TRD, but no psychological trial met the common-comparator requirement.
“Carter et al. recently conducted a systematic review and NMA of pharmacological and psychological augmentation interventions for TRD (defined as two adequate treatments in current episode), however, no psychological trial could be included due to the absence of a common comparator (Carter et al., 2020).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Carter et al., 2020 source
May combine two claims.
Study design and conductown dataInconsistency between direct and indirect evidence was assessed in the study and found to be noncontributing.
“For example, while conducting a NMA it allows to estimate effectiveness of different treatments in the absence of direct comparison between trials (Cipriani et al., 2013), thus, issues regarding inconsistency between either direct or indirect evidence could arise which was assessed in our study and found to be noncontributing (Appendix 1, Table 2).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Cipriani et al., 2013 source
- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Study design and conductnone givenDifferent regulatory standards in clinical trial development may have influenced reporting on adverse events or efficacy measures.
“Different standards of regulations in development of clinical trials may have influenced reporting on adverse events or efficacy measures”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe importance of dopaminergic agents in depression has been suggested in both unipolar and bipolar depression, showing promising results as augmentation strategies.
“The importance of dopaminergic agents in depression has been suggested in both in unipolar and bipolar depression (McIntyre et al., 2017; Nunez et al., 2020; Szmulewicz et al., 2017) showing promising results as augmentation strategies.”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
Study design and conductown dataIn the risk-of-bias assessment, 15 studies (24%) had low risk, 40 (63%) had moderate risk, and 8 (13%) had high risk.
“Overall, 15 (24%) studies were rated as having low risk of RoB, 40 (63%) had moderate RoB and 8 (13%) had high RoB (Appendix 4, Fig. 1).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Study design and conductreasoningReporting of side effects and dosing in older trials may not have been optimal because of the trial design methodology at that time.
“Additionally, we should consider the possibility that reporting of side effects and dosing in the older trials (ie. thyroid, lithium) was not optimal due to trial design methodology at that time.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationClinical guidelines such as CANMAT suggest caution with stimulant and stimulant-like molecules and recommend their use as second- or third-line adjunctive agents.
“Clinical guidelines such as CANMAT suggest caution regarding the use of stimulant and stimulant like molecules and based on previous meta-analysis (Goss et al., 2013; Kennedy et al., 2016) recommend their utilization as second-third line adjunctive agents.”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Study design and conductnone givenAn overestimation of the results attributable to the natural course of illness could not be ignored.
“An overestimation of the results for the included studies which could be attributable indeed to the natural course of illness could not be ignored”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationCariprazine, already FDA approved for schizophrenia and bipolar I disorder, has been studied as an adjunctive agent for major depressive disorder and showed a significant reduction in MADRS scores at week 8 compared to placebo.
“Similarly, cariprazine currently FDA approved for treatment of schizophrenia and bipolar-type I disorder has been studied as an adjunctive agent for MDD showed a significant reduction in MADRS scores at week 8 compared to placebo (Durgam et al., 2016; Earley et al., 2018).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Durgam et al., 2016 source
- cites Earley et al., 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Interpretationown dataLithium and thyroid hormones constitute an important augmentation strategy in the general pharmacopeia for treatment-resistant depression despite being relatively underutilized.
“Lithium and thyroid hormones constitute an important augmentation strategy in the general pharmacopeia for TRD despite being relatively underutilized.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The transitivity assumption holds for the network meta-analysis.
- Rests on an assumption: Defining treatment-resistant depression as failure of one or more antidepressants in the current episode is adequate for identifying the TRD population.
May combine two claims.
PremisecitationEvidence on the association between lamotrigine serum levels and response is inconclusive, which could contribute to inadequate therapeutic levels.
“Lastly, we should also acknowledge the inconclusive evidence between association of lamotrigine serum levels and response which could contribute to inadequate therapeutic levels (Kumar et al., 2021).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kumar et al., 2021 source
May combine two claims.
Study design and conductown dataThe study used a single all-cause discontinuation measure as a general reflection of drug acceptability and safety and did not include individualized side effects associated with dropout rates because such data were not widely available.
“We provided a single measure of all cause discontinuation as a general reflection of drugs acceptability and safety outcomes and did not include individualized side-effects associated to dropout rates due to data not being widely available for all studies.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductreasoningThe study did not include comparisons of non-pharmacological augmentation treatments because of difficulties in standardizing comparisons, which could have overestimated the effect of a single medication or combination drug.
“We did not include comparisons of non-pharmacological treatments associated to augmentation strategies considering difficulties to standardize comparisons; plausibly, this could have overestimated the effect of a single medication or combination drug”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductnone givenThere was heterogeneity in the definition of treatment-resistant depression across included studies, which precludes assuming a homogeneous population.
“There was heterogeneity in the definition of TRD in the included studies which precludes assuming a homogenous population”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrevious studies emphasize the use of these agents as a pivotal point to overcome treatment resistance.
“Additionally previous studies emphasize the use of these agents as a pivotal point to overcome treatment resistance (Nelson and Papakostas, 2009; Rafeyan et al., 2020).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Nelson and Papakostas, 2009 source
- cites Rafeyan et al., 2020
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Study design and conductown dataThree included studies reportedly included patients with bipolar disorders; the authors extracted unipolar depression data where possible and conducted a sensitivity analysis excluding the two studies without independent unipolar outcomes.
“We included 3 studies which reportedly included bipolar disorders patients however we tried to extract data for patients with unipolar depression where possible (one study) and conducted a sensitivty analysis after excluding the two studies where independent unipolar depression outcomes were not avilable.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductcitationThe study did not include comparisons with NMDA antagonists such as ketamine because those had been addressed in a previous network meta-analysis and have much faster action than conventional augmentation agents.
“We did not include comparisons with NMDA antagonists, such as ketamine, since those have been addressed in a previous NMA (Carter et al., 2020) and has much faster action as compared to the conventional augmentation agents”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Carter et al., 2020 source
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Study design and conductnone givenA dose-effect cannot be discounted and could contribute to sample heterogeneity.
“We cannot discount a dose-effect which could also contribute to sample heterogeneity”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThyroid hormones have shown evidence of antidepressant acceleration, particularly in women, and as an effective augmentation strategy.
“Thyroid hormones have shown evidence of antidepressant acceleration, particularly in women, as well as an effective augmentation strategy (Altshuler et al., 2001).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Altshuler et al., 2001 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationClinical recommendations for thyroid hormones in affective disorders have varied.
“Despite decades of presence of thyroid hormones amongst the affective disorders’ pharmacopeia, clinical recommendations have varied (Gelenberg et al., 2010; Kennedy et al., 2016).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Gelenberg et al., 2010
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Kennedy et al., 2016 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe World Federation of Societies of Biological Psychiatry Task Force recommends lithium as a first-line augmentation agent and aripiprazole and quetiapine as alternatives for unipolar treatment-resistant depression.
“This is also congruent with current recommendations for augmentation in patients with unipolar TRD by the World Federation of Societies of Biological Psychiatry Task Force which considers lithium as first-line agent and aripiprazole and quetiapine as alternatives (Grunze et al., 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Grunze et al., 2018 source
May combine two claims.
Study design and conductown dataSeveral included studies had small sample sizes and short follow-up times.
“Several studies comprised small sample sizes (e.g. thyroid hormones, nortriptyline, lithium, and stimulants) and had short follow-up time.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe results may vary for patients with a higher level of treatment refractoriness.
“The results may vary for patients with a higher level of treatment-refractoriness.”
Quote in the paperNot a substantial claim- Rests on an assumption: Defining treatment-resistant depression as failure of one or more antidepressants in the current episode is adequate for identifying the TRD population.
The paper relies on this without support.
The trials included in the network meta-analysis are sufficiently similar for indirect comparisons to be valid.
“Network meta-analysis (NMA) is a promising statistical method which allows to synthetize information from different clinical trials by combining direct and indirect evidence in the absence of head-to-head treatment comparisons.”
The paper relies on this without support.
All-cause discontinuation is a valid proxy for overall acceptability.
“We elected to use all cause discontinuation (proportion of patients who discontinued due to side effects) as measure of overall acceptability considering that data was not widely available for all studies.”
The paper relies on this without support.
Lithium and thyroid hormones act faster than other augmentation agents, so trials shorter than four weeks can be included for them.
“Most studies had a study duration of 4 weeks or longer, however, we also included studies with a shorter duration (< 4 weeks) for lithium and thyroid as there is data suggesting faster efficacy for these two agents.”
The paper relies on this without support.
Response and remission definitions across the included trials are comparable enough to combine.
“The primary outcome was response rates [(defined as a decrease of ≥ 50% of the validated behavioral scales for depression (e.g. HAMD or MADRS)]. Secondary outcomes included: remission rates, defined as a score below <10 for the MADRS or <7 on the HAMD or as per the study, and all cause discontinuation rates calculated for the patients who discontinued the trial.”
The paper relies on this without support.
The different definitions of treatment-resistant depression used by included trials are sufficiently comparable for pooling.
“Heterogeneity in TRD definitions, variable trial duration and methodological clinical design of older studies and small number of trials per comparisons.”
The authors state this as an assumption.
The transitivity assumption holds for the network meta-analysis.
“Importantly we should also consider the plausibility of the transitivity assumption as an essential factor while controlling for the individual biases that could occur in the selection of included studies, populations and environment in which the studies were conducted (LeLorier et al., 1997).”
The paper relies on this without support.
Defining treatment-resistant depression as failure of one or more antidepressants in the current episode is adequate for identifying the TRD population.
“we defined TRD as failure of one or more antidepressants in the current episode of depression for our study. However, this definition has been used in prior systematic reviews and thus, the included patients could be less refractory than some other TRD studies requiring two failed antidepressants.”
The paper relies on this without support.
Prior studies have suggested that lithium has a rapid onset of therapeutic effects for depression.
“Prior studies have suggested a rapid onset of lithium’s therapeutic effects for depression despite variability in lithium dosages, population heterogeneity, and treatment durations among the studies.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
All-cause discontinuation is defined as side-effect discontinuation
MajorOne outcome definition counts patients who discontinued the trial, regardless of cause. The next sentence instead defines the same measure as the proportion who discontinued because of side effects.
“Secondary outcomes included: remission rates, defined as a score below <10 for the MADRS or <7 on the HAMD or as per the study, and all cause discontinuation rates calculated for the patients who discontinued the trial.”
“We elected to use all cause discontinuation (proportion of patients who discontinued due to side effects) as measure of overall acceptability considering that data was not widely available for all studies.”
Search language restriction is inconsistent
MajorThe search is described as covering any language, but the methods later say it focused on English-language articles. The text does not clarify whether the search itself was language-restricted or only the subsequent study selection was.
“A comprehensive search of several databases from each database’s inception to May 29th of 2020, any language, was conducted.”
“Search was performed focused on articles with English language.”
Discontinuation outcome has conflicting definitions
MinorThe methods define all-cause discontinuation as discontinuation due to side effects. Later, the paper says it used all-cause discontinuation because side-effect-specific dropout data were not widely available. Those are different outcomes.
“We elected to use all cause discontinuation (proportion of patients who discontinued due to side effects) as measure of overall acceptability considering that data was not widely available for all studies.”
“We provided a single measure of all cause discontinuation as a general reflection of drugs acceptability and safety outcomes and did not include individualized side-effects associated to dropout rates due to data not being widely available for all studies.”
Cites
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139 · see citing works
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722 · see citing works
Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552 · see citing works
The Cochrane Collaboration's tool for assessing risk of bias in randomised trials
Higgins, J. P. T., Altman, D. G., Gotzsche, P. C., Juni, P., Moher, D., Oxman, A. D., Savovic, J., Schulz, K. F., Weeks, L., Sterne, J. A. C., et al. (2011) · BMJ · doi:10.1136/bmj.d5928 · Cited by 33,817 · see citing works
Dermyshi, E., Wang, Y., Yan, C., Hong, W., Qiu, G., Gong, X., & Zhang, T. (2017) · Neonatology · doi:10.1159/000454668 · Cited by 24,577 · see citing works
Conducting Meta-Analyses in <i>R</i> with the <b>metafor</b> Package
Viechtbauer, W. (2010) · Journal of Statistical Software · doi:10.18637/jss.v036.i03 · Cited by 20,464 · see citing works
Operating characteristics of a rank correlation test for publication bias
Begg, C. B., & Mazumdar, M. (1994) · Biometrics · doi:10.2307/2533446 · Cited by 16,955 · see citing works
Cochrane Handbook for Systematic Reviews of Interventions
(2019) · doi:10.1002/9781119536604 · Cited by 14,828 · see citing works
Molecular Mechanisms of Depression: Perspectives on New Treatment Strategies
Lang, U. E., & Borgwardt, S. (2013) · Cellular Physiology and Biochemistry · doi:10.1159/000350094 · Cited by 8,501 · 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
Salanti, G. (2012) · Research Synthesis Methods · doi:10.1002/jrsm.1037 · Cited by 1,729 · see citing works
Diagnosis and definition of treatment-resistant depression
Fava, M. (2003) · Biological Psychiatry · doi:10.1016/s0006-3223(03)00231-2 · Cited by 1,380 · see citing works
Discrepancies between Meta-Analyses and Subsequent Large Randomized, Controlled Trials
LeLorier, J., Grégoire, G., Benhaddad, A. A., Lapierre, J., & Derderian, F. (1997) · New England Journal of Medicine · doi:10.1056/nejm199708213370806 · Cited by 1,171 · see citing works
Kennedy, S. H., Lam, R. W., McIntyre, R. S., Tourjman, S. V., Bhat, V., Blier, P., Hasnain, M., Jollant, F., Levitt, A. J., MacQueen, G. M., et al. (2016) · The Canadian Journal of Psychiatry · doi:10.1177/0706743716659417 · Cited by 1,150 · see citing works
Conceptual and technical challenges in network meta-analysis
Cipriani, A., Higgins, J. P. T., Geddes, J. R., & Salanti, G. (2013) · Annals of Internal Medicine · doi:10.7326/0003-4819-159-2-201307160-00008 · Cited by 1,072 · see citing works
Medication Augmentation after the Failure of SSRIs for Depression
Trivedi, M. H., Fava, M., Wisniewski, S. R., Thase, M. E., Quitkin, F., Warden, D., Ritz, L., Nierenberg, A. A., Lebowitz, B. D., Biggs, M. M., et al. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa052964 · Cited by 1,002 · see citing works
Cleare, A., Pariante, C., Young, A., Anderson, I., Christmas, D., Cowen, P., Dickens, C., Ferrier, I., Geddes, J., Gilbody, S., et al. (2015) · Journal of Psychopharmacology · doi:10.1177/0269881115581093 · Cited by 759 · see citing works
Nierenberg, A. A., D, M. F. M., Trivedi, M. H., Wisniewski, S. R., Thase, M. E., McGrath, P. J., Alpert, J. E., Warden, D., Luther, J. F., Niederehe, G., et al. (2006) · American Journal of Psychiatry · doi:10.1176/ajp.2006.163.9.1519 · Cited by 559 · see citing works
Nelson, J. C., & Papakostas, G. I. (2009) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2009.09030312 · Cited by 552 · see citing works
Marcus, R. N., McQuade, R. D., Carson, W. H., Hennicken, D., Fava, M., Simon, J. S., Trivedi, M. H., Thase, M. E., & Berman, R. M. (2008) · Journal of Clinical Psychopharmacology · doi:10.1097/jcp.0b013e31816774f9 · Cited by 518 · see citing works
A Novel Augmentation Strategy for Treating Resistant Major Depression
Shelton, R. C., Tollefson, G. D., Tohen, M. F., Stahl, S. M., Gannon, K. S., Jacobs, T. G., Buras, W. R., Bymaster, F. P., Zhang, W., Spencer, K. A., et al. (2001) · American Journal of Psychiatry · doi:10.1176/appi.ajp.158.1.131 · Cited by 501 · see citing works
A graphical tool for locating inconsistency in network meta-analyses
Krahn, U., Binder, H., & König, J. (2013) · BMC Medical Research Methodology · doi:10.1186/1471-2288-13-35 · Cited by 458 · see citing works
Treatment-resistant depression: Definitions, review of the evidence, and algorithmic approach
McIntyre, R. S., Filteau, M.-J., Martin, L., Patry, S., Carvalho, A., Cha, D. S., Barakat, M., & Miguelez, M. (2014) · Journal of Affective Disorders · doi:10.1016/j.jad.2013.10.043 · Cited by 421 · see citing works
Berlim, M. T., & Turecki, G. (2007) · The Canadian Journal of Psychiatry · doi:10.1177/070674370705200108 · Cited by 412 · see citing works
Berman, R. M., Marcus, R. N., Swanink, R., McQuade, R. D., Carson, W. H., Corey-Lisle, P. K., & Khan, A. (2007) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v68n0604 · Cited by 409 · see citing works
Fekadu, A., Wooderson, S. C., Markopoulo, K., Donaldson, C., Papadopoulos, A. S., & Cleare, A. J. (2008) · Journal of Affective Disorders · doi:10.1016/j.jad.2008.10.014 · Cited by 299 · see citing works
Lithium Carbonate Augmentation of Antidepressant Treatment
Heninger, G. R. (1983) · Archives of General Psychiatry · doi:10.1001/archpsyc.1983.01790110077013 · Cited by 286 · see citing works
Spielmans, G. I., Berman, M. I., Linardatos, E., Rosenlicht, N. Z., Perry, A., & Tsai, A. C. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001403 · Cited by 275 · see citing works
Berman, R. M., Fava, M., Thase, M. E., Trivedi, M. H., Swanink, R., McQuade, R. D., Carson, W. H., Adson, D., Taylor, L., Hazel, J., et al. (2009) · CNS Spectrums · doi:10.1017/s1092852900020216 · Cited by 260 · see citing works
Joffe, R. T. (1993) · Archives of General Psychiatry · doi:10.1001/archpsyc.1993.01820170065008 · Cited by 258 · see citing works
Altshuler, L. L., Bauer, M., Frye, M. A., Gitlin, M. J., Mintz, J., Szuba, M. P., Leight, K. L., & Whybrow, P. C. (2001) · American Journal of Psychiatry · doi:10.1176/appi.ajp.158.10.1617 · Cited by 250 · see citing works
Self-citationBerlim, M. T., & Turecki, G. (2007) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2007.03.009 · Cited by 249 · see citing works
A double-blind, placebo-controlled study of antidepressant augementation with mirtazapine
Carpenter, L. L., Yasmin, S., & Price, L. H. (2002) · Biological Psychiatry · doi:10.1016/s0006-3223(01)01262-8 · Cited by 244 · see citing works
Thase, M. E., Corya, S. A., Osuntokun, O., Case, M., Henley, D. B., Sanger, T. M., Watson, S. B., & Dubé, S. (2007) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v68n0207 · Cited by 228 · see citing works
Bauer, M., Pretorius, H. W., Constant, E. L., Earley, W. R., Szamosi, J., & Brecher, M. (2009) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.08m04629 · Cited by 210 · see citing works
D, M. F. M., Thase, M. E., & DeBattista, C. (2005) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v66n0112 · Cited by 207 · see citing works
Therapeutic Options for Treatment-Resistant Depression
Shelton, R. C., Osuntokun, O. O., Heinloth, A. N., & Corya, S. A. (2010) · CNS Drugs · doi:10.2165/11530280-000000000-00000 · Cited by 205 · see citing works
meta: General Package for Meta-Analysis
Schwarzer, G. (2006) · CRAN: Contributed Packages · doi:10.32614/cran.package.meta · Cited by 202 · see citing works
A primer on network meta-analysis with emphasis on mental health
Mavridis, D., Giannatsi, M., Cipriani, A., & Salanti, G. (2015) · Evidence Based Mental Health · doi:10.1136/eb-2015-102088 · Cited by 198 · see citing works
Zhou, X., Ravindran, A. V., Qin, B., Del Giovane, C., Li, Q., Bauer, M., Liu, Y., Fang, Y., da Silva, T., Zhang, Y., et al. (2015) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.14r09204 · Cited by 189 · see citing works
DeBattista, C., Doghramji, K., Menza, M. A., Rosenthal, M. H., Fieve, R. R., & Modafinil in Depression Study Group (2003) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v64n0911 · Cited by 189 · see citing works
Grunze, H., Vieta, E., Goodwin, G. M., Bowden, C., Licht, R. W., Azorin, J.-M., Yatham, L., Mosolov, S., Möller, H.-J., Kasper, S., et al. (2018) · The World Journal of Biological Psychiatry · doi:10.1080/15622975.2017.1384850 · Cited by 187 · see citing works
El-Khalili, N., Joyce, M. A., Atkinson, S. D., Buynak, R. J., Datto, C. J., Lindgren, P., & Eriksson, H. (2010) · The International Journal of Neuropsychopharmacology · doi:10.1017/s1461145710000015 · Cited by 184 · see citing works
Thase, M. E., Youakim, J. M., Skuban, A., Hobart, M., Augustine, C., Zhang, P., McQuade, R. D., Carson, W. H., Nyilas, M., Sanchez, R., et al. (2015) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.14m09688 · Cited by 182 · see citing works
Baumann, P., Nil, R., Souché, A., Montaldi, S., Baettig, D., Lambert, S., Uehlinger, C., Kasas, A., Amey, M., & Jonzier-Perey, M. (1996) · Journal of Clinical Psychopharmacology · doi:10.1097/00004714-199608000-00006 · Cited by 174 · see citing works
Corya, S. A., Williamson, D., Sanger, T. M., Briggs, S. D., Case, M., & Tollefson, G. (2006) · Depression and Anxiety · doi:10.1002/da.20130 · Cited by 170 · see citing works
Thase, M. E., Youakim, J. M., Skuban, A., Hobart, M., Zhang, P. G. Y., McQuade, R. D., Nyilas, M., Carson, W. H., Sanchez, R., & Eriksson, H. (2015) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.14m09689 · Cited by 167 · see citing works
Barbosa, L., Berk, M., & Vorster, M. (2003) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v64n0407 · Cited by 165 · see citing works
Corya, S. A. (2005) · doi:10.4088/jcp.v66n1012 · Cited by 162 · see citing works
Placebo-Controlled Trial of Lithium Augmentation of Fluoxetine and Lofepramine
Katona, C., Abou‐Saleh, M. T., Harrison, D. A., Nairac, B. L., Edwards, D. R. L., Lock, T., Burns, R. A., & Robertson, M. M. (1995) · The British Journal of Psychiatry · doi:10.1192/bjp.166.1.80 · Cited by 158 · see citing works
Appelberg, B., Syvälahti, E. K. G., Koskinen, T., Mehtonen, O. ‐., Muhonen, T. T., & Naukkarinen, H. (2001) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v62n0608 · Cited by 156 · see citing works
A comparison of triiodothyronine and thyroxine in the potentiation of tricyclic antidepressants
Joffe, R. T., & Singer, W. (1990) · Psychiatry Research · doi:10.1016/0165-1781(90)90029-5 · Cited by 156 · see citing works
Landén, M., Björling, G., Agren, H., & Fahlén, T. (1998) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v59n1204 · Cited by 149 · see citing works
McIntyre, A., Gendron, A., & McIntyre, A. (2007) · Depression and Anxiety · doi:10.1002/da.20275 · Cited by 145 · see citing works
Fava, M., Mischoulon, D., Iosifescu, D., Witte, J., Pencina, M., Flynn, M., Harper, L., Levy, M., Rickels, K., & Pollack, M. (2012) · Psychotherapy and Psychosomatics · doi:10.1159/000332050 · Cited by 141 · see citing works
Risperidone for Treatment-Refractory Major Depressive Disorder: A Randomized Trial
Mahmoud, R. A., Pandina, G. J., Turkoz, I., Kosik-Gonzalez, C., Canuso, C. M., Kujawa, M. J., & Gharabawi-Garibaldi, G. M. (2007) · Annals of Internal Medicine · doi:10.7326/0003-4819-147-9-200711060-00003 · Cited by 140 · see citing works
Augmentation therapies for treatment-resistant depression: systematic review and meta-analysis
Strawbridge, R., Carter, B., Marwood, L., Bandelow, B., Tsapekos, D., Nikolova, V. L., Taylor, R., Mantingh, T., de Angel, V., Patrick, F., et al. (2019) · British Journal of Psychiatry · doi:10.1192/bjp.2018.233 · Cited by 140 · see citing works
Patkar, A. A., Masand, P. S., Pae, C.-U., Peindl, K., Hooper-Wood, C., Mannelli, P., & Ciccone, P. (2006) · Journal of Clinical Psychopharmacology · doi:10.1097/01.jcp.0000246212.03530.fd · Cited by 140 · see citing works
American Psychiatric Association (2010) · doi:10.1176/appi.books.9780890423387.654001 · Cited by 134 · see citing works
Goss, A. J., Kaser, M., Costafreda, S. G., Sahakian, B. J., & Fu, C. H. Y. (2013) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.13r08560 · Cited by 133 · see citing works
Durgam, S., Earley, W., Guo, H., Li, D., Németh, G., Laszlovszky, I., Fava, M., & Montgomery, S. A. (2016) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.15m10070 · Cited by 125 · see citing works
Ravindran, A. V., Kennedy, S. H., O'Donovan, M. C., Fallu, A., Camacho, F., & Binder, C. E. (2008) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v69n0112 · Cited by 119 · see citing works
Lithium Augmentation Therapy in Tricyclic-Resistant Depression
Stein, G. S., & Bernadt, M. (1993) · The British Journal of Psychiatry · doi:10.1192/bjp.162.5.634 · Cited by 118 · see citing works
Shelton, R. C., & Papakostas, G. I. (2008) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2007.01130.x · Cited by 112 · see citing works
Keitner, G. I., Garlow, S. J., Ryan, C. E., Ninan, P. T., Solomon, D. A., Nemeroff, C. B., & Keller, M. B. (2009) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2008.05.003 · Cited by 108 · see citing works
Lamotrigine as Adjunct to Paroxetine in Acute Depression
Normann, C., Hummel, B., Schärer, L. O., Horn, M., Grunze, H., & Walden, J. (2002) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v63n0411 · Cited by 107 · see citing works
Failure of T3 to potentiate tricyclic antidepressant response
Gitlin, M. J. (1987) · Journal of Affective Disorders · doi:10.1016/0165-0327(87)90046-2 · Cited by 104 · see citing works
Lithium Augmentation of Nortriptyline for Subjects Resistant to Multiple Antidepressants
Nierenberg, A. A., Papakostas, G. I., Petersen, T., Montoya, H. D., Worthington, J. J., Tedlow, J. R., Alpert, J. E., & D, M. F. M. (2003) · Journal of Clinical Psychopharmacology · doi:10.1097/00004714-200302000-00013 · Cited by 103 · see citing works
Reeves, H., Batra, S., May, R. S., Zhang, R., Dahl, D. C., & Li, X. (2008) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v69n0805 · Cited by 102 · see citing works
Treatment‐resistant depression: resistant to definition?
Malhi, G. S., Parker, G. B., Crawford, J., Wilhelm, K. A., & Mitchell, P. B. (2005) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2005.00602.x · Cited by 100 · see citing works
Vázquez, G. H., Bahji, A., Undurraga, J., Tondo, L., & Baldessarini, R. J. (2021) · Journal of Psychopharmacology · doi:10.1177/02698811211013579 · Cited by 95 · see citing works
Cusin, C., Iovieno, N., Iosifescu, D. V., Nierenberg, A. A., D, M. F. M., Rush, A. J., & Perlis, R. H. (2013) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.12m08093 · Cited by 92 · see citing works
Quetiapine augmentation of treatment-resistant depression: a comparison with lithium
Dorée, J.-P., Rosiers, J. D., Lew, V., Gendron, A., Elie, R., Stip, É., & Tourjman, V. (2007) · Current Medical Research and Opinion · doi:10.1185/030079906x162809 · Cited by 84 · see citing works
Kessler, D. S., MacNeill, S. J., Tallon, D., Lewis, G., Peters, T. J., Hollingworth, W., Round, J., Burns, A., Chew-Graham, C. A., Anderson, I. M., et al. (2018) · BMJ · doi:10.1136/bmj.k4218 · Cited by 81 · see citing works
Efficacy and Tolerability of Adjunctive Ziprasidone in Treatment-Resistant Depression
Dünner, D. L., Amsterdam, J. D., Shelton, R. C., et al. (2007) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v68n0714 · Cited by 80 · see citing works
Schöpf, J., Baumann, P., Lemarchand, T., & Rey, M. (1989) · Pharmacopsychiatry · doi:10.1055/s-2007-1014603 · Cited by 80 · see citing works
Barbee, J. G., Thompson, T. R., Jamhour, N. J., Stewart, J. W., Conrad, E. J., Reimherr, F. W., Thompson, P. M., & Shelton, R. C. (2011) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.09m05355gre · Cited by 78 · see citing works
The Efficacy of Psychostimulants in Major Depressive Episodes: A Systematic Review and Meta-Analysis
McIntyre, R. S., Lee, Y., Zhou, A. J., Rosenblat, J. D., Peters, E. M., Lam, R. W., Kennedy, S. H., Rong, C., & Jerrell, J. M. (2017) · Journal of Clinical Psychopharmacology · doi:10.1097/jcp.0000000000000723 · Cited by 75 · see citing works
Bauer, M., Dell’Osso, L., Kasper, S. F., Pitchot, W., Vansvik, E. D., Köhler, J., Jørgensen, L., & Montgomery, S. (2013) · Journal of Affective Disorders · doi:10.1016/j.jad.2013.05.079 · Cited by 74 · see citing works
Madhoo, M., Keefe, R. S., Roth, R. M., Sambunaris, A., Wu, J., Trivedi, M. H., Anderson, C. S., & Lasser, R. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2013.334 · Cited by 74 · see citing works
Kamijima, K., Higuchi, T., Ishigooka, J., Ohmori, T., Ozaki, N., Kanba, S., Kinoshita, T., & Koyama, T. (2013) · Journal of Affective Disorders · doi:10.1016/j.jad.2013.07.035 · Cited by 72 · see citing works
Schindler, F., & Anghelescu, I. G. (2007) · International Clinical Psychopharmacology · doi:10.1097/yic.0b013e328014823d · Cited by 64 · see citing works
Adjunct low dose lithium carbonate in treatment-resistant depression: a placebo-controlled study.
Zusky, P. M., Biederman, J., Rosenbaum, J. F., Manschreck, T. C., Gross, C. C., Weilberg, J. B., & Gastfriend, D. R. (1988) · PubMed · Cited by 63 · see citing works
Abolfazli, R., Hosseini, M., Ghanizadeh, A. J., Ghaleiha, A., Tabrizi, M. H., Raznahan, M., Golalizadeh, M., & Akhondzadeh, S. (2011) · Depression and Anxiety · doi:10.1002/da.20801 · Cited by 60 · see citing works
Fang, Y., Yuan, C., Xu, Y., Chen, J., Wu, Z., Cao, L., Yi, Z., Hong, W., Wang, Y., Jiang, K., et al. (2011) · Journal of Clinical Psychopharmacology · doi:10.1097/jcp.0b013e31822bb1d9 · Cited by 59 · see citing works
Efficacy of adjunctive low-dose cariprazine in major depressive disorder
D, M. F. M., Durgam, S., Earley, W. R., Lu, K., Hayes, R., Laszlovszky, I., & Németh, G. (2018) · International Clinical Psychopharmacology · doi:10.1097/yic.0000000000000235 · Cited by 59 · see citing works
Trivedi, M. H., Cutler, A. J., Richards, C., Lasser, R., Geibel, B. B., Gao, J., Sambunaris, A., & Patkar, A. A. (2013) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.13m08360 · Cited by 58 · see citing works
Papakostas, G. I., D, M. F. M., Baer, L., Swee, M. B., Jaeger, A., Bobo, W. V., & Shelton, R. C. (2015) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2015.14101251 · Cited by 58 · see citing works
Inadequate Response to Treatment in Major Depressive Disorder
(2020) · doi:10.4088/jcp.ot19037br3 · Cited by 54 · see citing works
Dunlop, B., Crits-Christoph, P., Evans, D., Hirschowitz, J., Solvason, H., Rickels, K., Garlow, S. J., Gallop, R., & Ninan, P. (2007) · Journal of Clinical Psychopharmacology · doi:10.1097/jcp.0b013e31815abefb · Cited by 52 · see citing works
Adjunct Low Dose Lithium Carbonate in Treatment-Resistant Depression
Zusky, P. M., Biederman, J., Rosenbaum, J. F., Manschreck, T. C., Gross, C. C., Weilberg, J. B., & Gastfriend, D. R. (1988) · Journal of Clinical Psychopharmacology · doi:10.1097/00004714-198804000-00007 · Cited by 52 · see citing works
Santos, M. A., Rocha, F. L., & Hara, C. (2008) · The Primary Care Companion to The Journal of Clinical Psychiatry · doi:10.4088/pcc.v10n0302 · Cited by 51 · see citing works
Carter, B., Strawbridge, R., Husain, M. I., Jones, B. D. M., Short, R., Cleare, A. J., Tsapekos, D., Patrick, F., Marwood, L., Taylor, R. W., et al. (2020) · International Review of Psychiatry · doi:10.1080/09540261.2020.1765748 · Cited by 47 · see citing works
Earley, W. R., Guo, H., Németh, G., Harsányi, J., & Thase, M. E. (2025) · Psychopharmacology Bulletin · doi:10.64719/pb.4578 · Cited by 45 · see citing works
Franco-Chaves, J. A., Mateus, C. F., Luckenbaugh, D. A., Martinez, P. E., Mallinger, A. G., & Zarate, C. A. (2013) · Journal of Affective Disorders · doi:10.1016/j.jad.2013.02.003 · Cited by 38 · see citing works
Han, C., Wang, S., Kwak, K., Won, W.-Y., Lee, H.-Y., Chang, C., Tang, T. C., & Pae, C. (2015) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2015.04.020 · Cited by 37 · see citing works
Dopaminergic agents in the treatment of bipolar depression: a systematic review and meta-analysis
Szmulewicz, A. G., Angriman, F., Samamé, C., Ferraris, A., Vigo, D., & Strejilevich, S. A. (2017) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.12712 · Cited by 37 · see citing works
Lithium and Triiodothyronine Augmentation of Antidepressants
Joffe, R. T., Sokolov, S. T. H., & LEVITT, A. J. (2006) · The Canadian Journal of Psychiatry · doi:10.1177/070674370605101209 · Cited by 32 · see citing works
Nunez, N. A., Singh, B., Romo‐Nava, F., Joseph, B., Veldic, M., Cuellar‐Barboza, A., Cabello Arreola, A., Vande Voort, J. L., Croarkin, P., Moore, K. M., et al. (2020) · Bipolar Disorders · doi:10.1111/bdi.12859 · Cited by 31 · see citing works
Self-citationChaput, Y., Magnan, A., & Gendron, A. (2008) · BMC Psychiatry · doi:10.1186/1471-244x-8-73 · Cited by 30 · see citing works
Lithium as an Adjunct in the Treatment of Major Depression
BROWNE, M., Lapierre, Y. D., Hrdina, P. D., & HORN, E. (1990) · International Clinical Psychopharmacology · doi:10.1097/00004850-199004000-00004 · Cited by 25 · see citing works
Lorentzen, R., Kjær, J. N., Østergaard, S. D., & Madsen, M. M. (2020) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.13154 · Cited by 25 · see citing works
Fava, M., Ménard, F., Davidsen, C. K., & Baker, R. A. (2016) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.15m10470 · Cited by 23 · see citing works
Yoshimura, R., Kishi, T., Hori, H., Ikenouchi, A., Katsuki, A., Umene‐Nakano, W., Iwata, N., & Nakamura, J. (2012) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2012.07.008 · Cited by 21 · see citing works
Richards, C., McIntyre, R. S., Weisler, R., Sambunaris, A., Brawman-Mintzer, O., Gao, J., Geibel, B., Dauphin, M., & Madhoo, M. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.07.006 · Cited by 20 · see citing works
Spielmans, G. I., Berman, M. I., Linardatos, E., Rosenlicht, N. Z., Perry, A., & Tsai, A. C. (2016) · Focus · doi:10.1176/appi.focus.140202 · Cited by 20 · see citing works
Seshadri, A., Wermers, M. L., Habermann, T. J., & Singh, B. (2021) · The Primary Care Companion For CNS Disorders · doi:10.4088/pcc.20r02799 · Cited by 19 · see citing works
Self-citationCheon, E., Lee, K., Park, Y., Lee, J.-H., Koo, B., Lee, S., & Sung, H.-M. (2017) · Journal of Clinical Psychopharmacology · doi:10.1097/jcp.0000000000000663 · Cited by 18 · see citing works
Kumar, R., Nuñez, N. A., Prokop, L. J., Veldic, M., Betcher, H., & Singh, B. (2021) · Journal of Clinical Psychopharmacology · doi:10.1097/jcp.0000000000001475 · Cited by 16 · see citing works
Self-citationBupropion as an Augmenting Agent in Patients of Depression with Partial Response
Gulrez, G., Badyal, D. K., Deswal, R., & Sharma, A. K. (2011) · Basic & Clinical Pharmacology & Toxicology · doi:10.1111/j.1742-7843.2011.00788.x · Cited by 15 · see citing works
Shahal, B., Piel, E., Mecz, L., Kremer, I., & Klein, E. (1996) · Biological Psychiatry · doi:10.1016/s0006-3223(96)00307-1 · Cited by 12 · see citing works
Yoshimura, R., Hori, H., Umene‐Nakano, W., et al. (2013) · Therapeutic Advances in Psychopharmacology · doi:10.1177/2045125313514767 · Cited by 9 · see citing works
Mohammadi, M. R., Nasehi, A. A., Habibi, N., & Raisi, F. (2006) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 3 · see citing works
Flagged first, then by citations
3 of the 117 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- 2009, Study in patients with depression not responding to selective serotonin reuptake inhibitors, clinicaltrials.gov
Cited by
Sorted by citations
Marx, W., Penninx, B. W. J. H., Solmi, M., Furukawa, T. A., Firth, J., Carvalho, A. F., & Berk, M. (2023) · Nature Reviews Disease Primers · doi:10.1038/s41572-023-00454-1 · Cited by 850 · see citing works
Correll, C. U., Solmi, M., Croatto, G., Schneider, L. K., Rohani-Montez, S. C., Fairley, L., Smith, N., Bitter, I., Gorwood, P. A. P. M., Taipale, H. T., et al. (2022) · World Psychiatry · doi:10.1002/wps.20994 · Cited by 717 · see citing works
Lam, R. W. M., Kennedy, S. H., Adams, G. C., Bahji, A., Beaulieu, S., Bhat, V., Blier, P., Blumberger, D. M., Brietzke, E. M., Chakrabarty, T., et al. (2024) · The Canadian Journal of Psychiatry · doi:10.1177/07067437241245384 · Cited by 408 · see citing works
Alnefeesi, Y., Chen-Li, D., Krane, E., Jawad, M. Y., Rodrigues, N. B., Ceban, F., Di Vincenzo, J. D., Meshkat, S., Ho, R. C. M., Gill, H., et al. (2022) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2022.04.037 · Cited by 186 · see citing works
Martinotti, G., Vita, A., Fagiolini, A., Maina, G., Bertolino, A., Dell'Osso, B., Siracusano, A., Clerici, M., Bellomo, A., Sani, G., et al. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.09.043 · Cited by 146 · see citing works
Effects of chronic stress on cognitive function – From neurobiology to intervention
Girotti, M., Bulin, S. E., & Carreno, F. R. (2024) · Neurobiology of Stress · doi:10.1016/j.ynstr.2024.100670 · Cited by 142 · see citing works
Esketamine Treatment for Depression in Adults: A PRISMA Systematic Review and Meta-Analysis
Fountoulakis, K. N., Saitis, A., & Schatzberg, A. F. (2025) · American Journal of Psychiatry · doi:10.1176/appi.ajp.20240515 · Cited by 90 · see citing works
Arnsten, A. F. T., Joyce, M. K. P., & Roberts, A. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.105000 · Cited by 58 · see citing works
He, Y., Wang, Y., Yu, H., Tian, Y., Chen, X., Chen, C., Ren, Y., Chen, Z., Ren, Y., Gong, X., et al. (2023) · Pharmacological Research · doi:10.1016/j.phrs.2023.106717 · Cited by 53 · see citing works
Saelens, J., Gramser, A., Watzal, V., Zarate, C. A., Lanzenberger, R., & Kraus, C. (2025) · Neuropsychopharmacology · doi:10.1038/s41386-024-02044-5 · Cited by 51 · see citing works
Pharmacological treatments for psychotic depression: a systematic review and network meta-analysis
Oliva, V., Possidente, C., Prisco, M. D., Fico, G., Anmella, G., Hidalgo‐Mazzei, D., Murru, A., Fanelli, G., Fabbri, C., Fornaro, M., et al. (2024) · The Lancet Psychiatry · doi:10.1016/s2215-0366(24)00006-3 · Cited by 47 · see citing works
Stolfi, F., Abreu, H., Sinella, R., Nembrini, S., Centonze, S., Landra, V., Brasso, C., Cappellano, G., Rocca, P., & Chiocchetti, A. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1422939 · Cited by 49 · see citing works
Celecoxib for Mood Disorders: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Gędek, A., Szular, Z., Antosik-Wójcińska, A. Z., Mierzejewski, P., & Dominiak, M. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12103497 · Cited by 46 · see citing works
Psychological and Psychopharmacological Interventions in Psychocardiology
Kahl, K. G., Stapel, B., & Correll, C. U. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.831359 · Cited by 39 · see citing works
Psychedelics for treatment resistant depression: are they game changers?
Kalfas, M., Taylor, R. H., Tsapekos, D., & Young, A. H. (2023) · Expert Opinion on Pharmacotherapy · doi:10.1080/14656566.2023.2281582 · Cited by 37 · see citing works
Role of Psychedelics in Treatment-Resistant Depression
Kamal, S., Jha, M. K., & Radhakrishnan, R. (2023) · Psychiatric Clinics of North America · doi:10.1016/j.psc.2023.02.004 · Cited by 34 · see citing works
Tundo, A., Betrò, S., de Filippis, R., Marchetti, F., Nacca, D., Necci, R., & Iommi, M. (2023) · Life · doi:10.3390/life13041043 · Cited by 30 · see citing works
Terao, I., Tsuge, T., Endo, K., & Kodama, W. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.11.023 · Cited by 33 · see citing works
García-Robles, A., Yáñez, A. M., Bennasar‐Veny, M., Navarro, C., Salvá, J., Ibarra, O., Gómez-Juanes, R., Serrano-Ripoll, M. J., Oliván‐Blázquez, B., Gili, M., et al. (2022) · Psychiatry Research · doi:10.1016/j.psychres.2022.114975 · Cited by 26 · see citing works
Cai, D.-B., Qin, X., Qin, Z.-J., Lan, X.-J., Wang, J., Ng, C. H., Zheng, W., & Xiang, Y. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.10.161 · Cited by 24 · see citing works
Thyroid Hormone Augmentation for Bipolar Disorder: A Systematic Review
Seshadri, A., Sundaresh, V., Prokop, L. J., & Singh, B. (2022) · Brain Sciences · doi:10.3390/brainsci12111540 · Cited by 23 · see citing works
Self-citationWhen and How to Use Lithium Augmentation for Treating Major Depressive Disorder
Ercis, M., Özerdem, A., & Singh, B. (2023) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.23ac14813 · Cited by 23 · see citing works
Self-citationTrends in research on novel antidepressant treatments
Zelek-Molik, A., & Litwa, E. (2025) · Frontiers in Pharmacology · doi:10.3389/fphar.2025.1544795 · Cited by 27 · see citing works
Guo, Q., Guo, L., Yong, W., & Shang, S. (2024) · Psychiatry Research · doi:10.1016/j.psychres.2024.116018 · Cited by 29 · see citing works
Hu, J., Lian, Z., Weng, Z., Xu, Z., Gao, J. Y., Liu, Y., Luo, T., & Wang, X. (2024) · Advanced Materials · doi:10.1002/adma.202405547 · Cited by 19 · see citing works
Illuminating the way: the role of bright light therapy in the treatment of depression
Rajačić, B. K., Šagud, M., Pivac, N., & Begić, D. (2023) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2023.2273396 · Cited by 19 · see citing works
Kuvarzin, S. R., Sukhanov, I., Onokhin, K., Анатольевич, З. К., & Gainetdinov, R. R. (2023) · Biomedicines · doi:10.3390/biomedicines11071977 · Cited by 18 · see citing works
Cleare, A. J., Kerr-Gaffney, J., Goldsmith, K., Zenasni, Z., Yaziji, N., Jin, H., Colasanti, A., Geddes, J. R., Kessler, D., McAllister-Williams, R. H., et al. (2025) · The Lancet Psychiatry · doi:10.1016/s2215-0366(25)00028-8 · Cited by 18 · see citing works
Conway, C. R., Aaronson, S. T., Sackeïm, H. A., Duffy, W. J., Stedman, M., Quevedo, J., Allen, R. M., Riva‐Posse, P., Berger, M. A., Alva, G., et al. (2024) · Brain stimulation · doi:10.1016/j.brs.2024.03.016 · Cited by 19 · see citing works
Cattarinussi, G., Moghaddam, H. S., Aarabi, M. H., Squarcina, L., Sambataro, F., Brambilla, P., & Delvecchio, G. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232315379 · Cited by 15 · see citing works
Thyroid Hormone Use in Mood Disorders
Singh, B., & Sundaresh, V. (2022) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.22ac14590 · Cited by 17 · see citing works
Self-citationOkada, M., Fukuyama, K., & Motomura, E. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23169103 · Cited by 15 · see citing works
Imazu, S., Ikeda, S., Toi, Y., Sano, S., Kanazawa, T., Shinosaki, K., Tsukuda, B., Kita, A., Kuroda, K., & Takahashi, S. (2024) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2024.104082 · Cited by 17 · see citing works
Brexpiprazole Reduces 5-HT7 Receptor Function on Astroglial Transmission Systems
Fukuyama, K., Motomura, E., & Okada, M. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23126571 · Cited by 16 · see citing works
Moyano, B. P., Bautista, D. G., Ibarra, K. J. P., Mueller, C., von Gunten, A., Vandel, P., Ranjbar, S., Howard, R. J., Young, A. H., Stewart, R. J., et al. (2025) · Ageing Research Reviews · doi:10.1016/j.arr.2025.102710 · Cited by 17 · see citing works
Bai, B., Li, Y., Chen, X., Huang, J., Chen, Q., Du, X., Huang, C., & Yang, Y. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-06783-7 · Cited by 15 · see citing works
Characteristics and predictors of off‐label use of antipsychotics in general population sample
Pirhonen, E., Haapea, M., Rautio, N., Nordström, T., Turpeinen, M., Laatikainen, O., Koponen, H., Silvan, J., Miettunen, J., & Jääskeläinen, E. (2022) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.13472 · Cited by 14 · see citing works
Yao, L., Jing, R., Wang, C.-C., Wang, Y., Li, X., Wu, X. M., Wang, Y., Liu, L., Mu, L.-H., Liu, P., et al. (2025) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2025.120011 · Cited by 16 · see citing works
Maoz, H., Grossman‐Giron, A., Sedoff, O., Nitzan, U., Kashua, H., Yarmishin, M., Arad, O., & Bitan, D. T. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.11.053 · Cited by 14 · see citing works
Large-scale plasma proteomics uncovers novel targets linking ambient air pollution and depression
Pan, C., Qi, X., Yang, X., Cheng, B., Cheng, S., Liu, L., Meng, P., He, D., Wei, W., Hui, J., et al. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-02953-x · Cited by 15 · see citing works
Aichholzer, M., Gangadin, S. S., Sommer, I. E., Wijkhuijs, A. J. M., de Witte, L. D., Kahn, R. S., Bahn, S., Drexhage, H. A., & Schiweck, C. (2022) · Brain Behavior & Immunity - Health · doi:10.1016/j.bbih.2022.100551 · Cited by 11 · see citing works
Thase, M. E., Yeung, P. P., Rekeda, L., Liu, M., & Varughese, S. (2024) · International Clinical Psychopharmacology · doi:10.1097/yic.0000000000000528 · Cited by 12 · see citing works
Efficacy, Safety, and Tolerability of Psychedelics in Treatment-Resistant Depression (TRD)
Olivier, B., & Olivier, J. D. A. (2024) · Advances in experimental medicine and biology · doi:10.1007/978-981-97-4402-2_3 · Cited by 12 · see citing works
Sackeïm, H. A., Aaronson, S. T., Bunker, M. T., Conway, C. R., George, M. S., McAllister-Williams, H., Prudic, J., Thase, M. E., Young, A. H., & Rush, A. J. (2024) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2024.05.046 · Cited by 13 · see citing works
Walaszek, M., Kachlik, Z., & Cubała, W. J. (2024) · Nutritional Neuroscience · doi:10.1080/1028415x.2024.2303218 · Cited by 13 · see citing works
Singh, B., Bakian, A. V., Newman, M., & Sundaresh, V. (2025) · Thyroid · doi:10.1089/thy.2024.0428 · Cited by 12 · see citing works
Self-citationGrolli, R. E., Bertollo, A. G., Behenck, J. P., Borba, L. A., Plissari, M. E., Soares, S. J. B., Mânica, A., Joaquim, L. D. S., Petronilho, F. C., Quevedo, J., et al. (2023) · Naunyn-Schmiedeberg s Archives of Pharmacology · doi:10.1007/s00210-023-02406-8 · Cited by 11 · see citing works
Demyttenaere, K., Costa, T., Kavakbasi, E., Jiang, M., Scheltens, A., Dibué, M., Hall, B., Andrade, P., McAllister-Williams, H., Baune, B. T., et al. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.10.054 · Cited by 12 · see citing works
Larsen, A. J., Teobaldi, G., Jeraldo, R. I. E., Falkai, P., & Cooper, C. (2025) · BMJ Mental Health · doi:10.1136/bmjment-2024-301324 · Cited by 11 · see citing works
Pessina, E., Martini, A., Raffone, F., & Martiadis, V. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1299368 · Cited by 11 · see citing works
Treatment-Resistant Depression
Hughes, M. E., & Levine, S. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-95702-1.00065-8 · Cited by 10 · see citing works
Kato, M., Shiosakai, M., Kuwahara, K., Iba, K., Shimada, Y., Saito, M., Isogai, Y., Sekine, D., Aoki, K., Koga, N., et al. (2023) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.13615 · Cited by 10 · see citing works
Transforming the evidence landscape in mental health with platform trials
Gold, S. M., Mäntylä, F.-L., Donoghue, K., Brasanac, J., Freitag, M. M., König, F., Posch, M., Ramos‐Quiroga, J. A., Benedetti, F., Köhler‐Forsberg, O., et al. (2025) · Nature Mental Health · doi:10.1038/s44220-025-00391-w · Cited by 11 · see citing works
Nagata, T., Shinagawa, S., Inamura, K., & Shigeta, M. (2022) · Journal of Personalized Medicine · doi:10.3390/jpm12091365 · Cited by 10 · see citing works
Rajačić, B. K., Šagud, M., Begić, D., Perković, M. N., Dvojkovic, A., Ganoci, L., & Pivac, N. (2023) · Biomolecules · doi:10.3390/biom13091425 · Cited by 9 · see citing works
CASALE, A. D., Simmaco, M., Modesti, M. N., Zocchi, C., Arena, J. F., Bilotta, I., Alcibiade, A., Sarli, G., Cutillo, L., Antonelli, G., et al. (2023) · Biomedicines · doi:10.3390/biomedicines11072088 · Cited by 9 · see citing works
Martins-Correia, J., Fernandes, L. A., Kenny, R. P. W., Salas, B., Karmani, S. J., Inskip, A., Pearson, F., & Watson, S. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.06.099 · Cited by 9 · see citing works
Wang, J., Li, W., Li, M., Wu, H.-B., & Qiu, Z.-K. (2023) · Medicine · doi:10.1097/md.0000000000034670 · Cited by 8 · see citing works
Zhang, H., Liu, X., Su, Z., Wang, Y., Chen, B., Zhang, Z., Wang, B., Zhou, J. L., Zhang, L., & Zhao, X. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1429019 · Cited by 8 · see citing works
Barateau, L., Baillieul, S., Andrejak, C., Bequignon, E., Boutouyrie, P., Dauvilliers, Y., Gagnadoux, F., Geoffroy, P., Micoulaud-Franchi, J., Montani, D., et al. (2024) · Respiratory medical research · doi:10.1016/j.resmer.2024.101105 · Cited by 15 · see citing works
Exploring cariprazine as a treatment option for varied depression symptom clusters
Pejušković, B., Munjiza-Jovanović, A., & Pešić, D. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1442699 · Cited by 10 · see citing works
Treatment-resistant depression and intranasal esketamine: Spanish consensus on theoretical aspects
Mora, F., Ramos‐Quiroga, J. A., Baca‐García, E., Crespo, J. M., Gutiérrez-Rojas, L., Madrazo, A., Pérez-Costillas, L., Sáiz, P. A., Tordera, V., & Vieta, E. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1623659 · Cited by 8 · see citing works
Rajačić, B. K., Šagud, M., Begić, D., Perković, M. N., Kozmar, A., Rogić, D., Peleš, A. M., Božičević, M., & Pivac, N. (2025) · Biomolecules · doi:10.3390/biom15020295 · Cited by 8 · see citing works
Luo, Y., Zhou, Y., Peng, P., Yuan, N., & Zhang, X. (2024) · BJPsych Open · doi:10.1192/bjo.2024.48 · Cited by 6 · see citing works
Kriner, P., Severus, E., Korbmacher, J. M., Mußmann, L., & Seemüller, F. (2023) · International Journal of Bipolar Disorders · doi:10.1186/s40345-023-00323-6 · Cited by 8 · see citing works
Barateau, L., Baillieul, S., Andréjak, C., Béquignon, É., Boutouyrie, P., Dauvilliers, Y., Gagnadoux, F., Geoffroy, P., Micoulaud-Franchi, J., Montani, D., et al. (2023) · Médecine du Sommeil · doi:10.1016/j.msom.2023.06.001 · Cited by 5 · see citing works
Xie, M., Qiu, Y., Wang, M., Wei, X., Tao, Y., Duan, A., Shang, J., Gao, W., & Wang, Z. (2024) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2024.02.018 · Cited by 7 · see citing works
Self-citationvon Knorring, J., Baryshnikov, I., Jylhä, P. J., Talaslahti, T., Heikkinen, M. E., & Isometsä, E. T. (2023) · BMC Psychiatry · doi:10.1186/s12888-023-05390-8 · Cited by 6 · see citing works
Trace Lithium for Suicide Prevention and Dementia Prevention: A Qualitative Review
Terao, T., Hirakawa, H., Muronaga, M., Izumi, T., & Kohno, K. (2024) · Pharmaceuticals · doi:10.3390/ph17111486 · Cited by 6 · see citing works
Lisi, A. D., Valle, A. D., Menchetti, M., Crisafulli, C., & Fabbri, C. (2025) · Journal of Clinical Psychopharmacology · doi:10.1097/jcp.0000000000002014 · Cited by 7 · see citing works
Depression and Anxiety Disorders
Karamustafalıoğlu, O., & Yumrukçal, H. (2025) · Wiley eBooks · doi:10.1002/9781119870203.mpg003.pub2 · Cited by 7 · see citing works
Harkness, K. L., Chakrabarty, T., Rizvi, S. J., Mazurka, R., Quilty, L. C., Uher, R., Milev, R. V., Frey, B. N., Parikh, S. V., Foster, J. A., et al. (2023) · The Canadian Journal of Psychiatry · doi:10.1177/07067437231156255 · Cited by 6 · see citing works
Molecular Mechanisms of Depression: The Interplay Between Genes and Receptors
Oatu, A., Trifu, S. C., & Coman, E. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms262311325 · Cited by 7 · see citing works
Adjunctive cariprazine for major depressive disorder: a systematic review and meta-analysis
Gill, H., Chen-Li, D. C. J., Haikazian, S., Seyedin, S., McIntyre, R. S., Mansur, R. B., Vincenzo, J. D. D., Phan, L., & Rosenblat, J. D. (2024) · CNS Spectrums · doi:10.1017/s1092852924000178 · Cited by 6 · see citing works
Comparative Efficacy of Dopamine Partial Agonists by Doses for Treatment-Resistant Depression
Terao, I., & Kodama, W. (2024) · Journal of Clinical Psychopharmacology · doi:10.1097/jcp.0000000000001862 · Cited by 6 · see citing works
Catalogna, M., Somerville, Y., Saporta, N., Nathansohn-Levi, B., Shelly, S., Edry, L., Zagoory‐Sharon, O., Feldman, R., & Amedi, A. (2025) · Scientific Reports · doi:10.1038/s41598-025-91457-3 · Cited by 6 · see citing works
Tsai, D. H., Yang, A. S., Wong, Z.-X., Chuang, A. T.-M., Cheng, M. C., Shen, C., Shao, S., & Lai, E. C. (2025) · The British Journal of Psychiatry · doi:10.1192/bjp.2024.283 · Cited by 5 · see citing works
Sala-Cîrtog, M., & Sîrbu, I. O. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25021114 · Cited by 5 · see citing works
How pharmacology can aid in the diagnosis of mental disorders
Seifert, R., Schirmer, B., & Seifert, J. (2024) · Naunyn-Schmiedeberg s Archives of Pharmacology · doi:10.1007/s00210-024-03413-z · Cited by 5 · see citing works
Newer Treatments for Mood and Anxiety Disorders
Markman, J., & Combs, H. L. (2024) · Medical Clinics of North America · doi:10.1016/j.mcna.2024.03.006 · Cited by 5 · see citing works
Facal, F., & Costas, J. (2024) · Progress in Neuro-psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2024.111183 · Cited by 5 · see citing works
d’Andrea, G., Chiappini, S., Ciavoni, L., Tucci, R., Martino, F., Semeraro, F. M., Battista, D. D., Mosca, A., Miuli, A., Carlo, F. D., et al. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03654-3 · Cited by 6 · see citing works
Hallab, A., & Initiative, A. D. N. (2025) · Scientific Reports · doi:10.1038/s41598-025-86703-7 · Cited by 6 · see citing works
Hernandorena, C. V., Dines, M., Miola, A., Núñez, N. A., Tondo, L., Baldessarini, R. J., & Vázquez, G. H. (2025) · International Journal of Bipolar Disorders · doi:10.1186/s40345-025-00381-y · Cited by 5 · see citing works
Self-citationThe putative role of the habenula in animal migration
LOONEN, A. J. M. (2024) · Physiology & Behavior · doi:10.1016/j.physbeh.2024.114668 · Cited by 4 · see citing works
Ramadan, B., & Waes, V. V. (2025) · Neurophysiologie Clinique · doi:10.1016/j.neucli.2025.103055 · Cited by 4 · see citing works
Oliveira-Maia, A. J., Morrens, J., Rive, B., Godinov, Y., Cabrieto, J., Perualila, N. J., Barbreau, S., & Mulhern-Haughey, S. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1250980 · Cited by 4 · see citing works
He, Y., Gan, X., Li, X., Wang, T., Li, J., Lei, T., Huang, Y., Liu, R., Chen, F., Teng, T., et al. (2023) · BMC Psychiatry · doi:10.1186/s12888-023-05221-w · Cited by 3 · see citing works
The true effect of lithium is hard to determine
Nielsen, R. E., & Licht, R. W. (2023) · BJPsych Open · doi:10.1192/bjo.2023.572 · Cited by 4 · see citing works
Brexpiprazole versus placebo or other antidepressive agents for treating depression
Ralovska, S., Koychev, I. G., Marinov, P., Furukawa, T. A., Mulsant, B. H., & Cipriani, A. (2023) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd013866.pub2 · Cited by 4 · see citing works
Su, S., Zhu, X., & Gao, S. (2025) · Current Psychology · doi:10.1007/s12144-025-07764-5 · Cited by 4 · see citing works
Ludgate, S., McGowan, A., Moran, C., Attanasio, R., Žarković, M., Nagy, E. V., Negro, R., Papini, E., Cohen, C. A., Akarsu, E., et al. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1665720 · Cited by 4 · see citing works
Fan, J., Zhou, K., & Yu, C.-H. (2025) · Brain and Behavior · doi:10.1002/brb3.70252 · Cited by 3 · see citing works
Consistent differential effects of bupropion and mirtazapine in major depression
Strobl, E. V. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.119551 · Cited by 5 · see citing works
Polygenic dissection of treatment-resistant depression with proxy phenotypes in the UK Biobank
Wang, L.-H., Shih, M.-Y., Lin, K., Kuo, P., & Feng, Y. A. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.04.012 · Cited by 6 · see citing works
Augmentation in depression: Esketamine, a new standard?
Rosenblat, J. D., & McIntyre, R. S. (2023) · Med · doi:10.1016/j.medj.2023.11.002 · Cited by 4 · see citing works
Endocrinological Treatment Targets for Depressive Disorder
Yoon, S., & Kim, Y. (2024) · Advances in experimental medicine and biology · doi:10.1007/978-981-97-4402-2_1 · Cited by 3 · see citing works
Yamazaki, R., Ohbe, H., Matsuda, Y., Kito, S., Shigeta, M., Morita, K., Matsui, H., Fushimi, K., & Yasunaga, H. (2023) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2023.103581 · Cited by 3 · see citing works
- Authors
- Nuñez, N. A., Joseph, B., Pahwa, M., Kumar, R., Resendez, M. G., Prokop, L. J., Veldic, M., Seshadri, A., Biernacka, J. M., Frye, M. A., Wang, Z., & Singh, B.
- Affiliations
- Mayo Clinic (US)
- Corresponding author
- Singh, Balwinder
- ORCID
- Venue
- Journal of Affective Disorders
- Publisher
- Elsevier BV
- Published
- 2022-04
- Volume
- 302
- Pages
- 385-400
- ISSN
- 0165-0327 (ISSN-L)
- PMC
- PMC9328668
- OpenAlex
- W4206068971
- Cited by
- 215
- References
- 117
- Citations by year
- 2026: 44 · 2025: 66 · 2024: 49 · 2023: 40 · 2022: 16
- FWCI
- 6.13
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Journal of Affective Disorders (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of General Medical Sciences (T32GM008685)
- Topics
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Health Sciences › Medicine › Psychiatry and Mental health › Electroconvulsive Therapy Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Bipolar Disorder and Treatment
- Keywords
- treatment-resistant depression, antidepressant augmentation, atypical antipsychotics, thyroid hormones, liothyronine, lithium, modafinil, lisdexamfetamine, aripiprazole, brexpiprazole, quetiapine, cariprazine, mirtazapine, ziprasidone, olanzapine, treatment discontinuation, stimulants
- MeSH terms
- Adult, Antidepressive Agents, Depression, Major Depressive Disorder, Humans, Antipsychotic Agents, Depressive Disorder, Treatment-Resistant
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.
Claims read under definition version 3 (extract-v3) on 2026-09-28.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-09-28.
Cited sources are checked by gpt-6-sol.
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