Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Feb 1:13:746678.
doi: 10.3389/fpsyt.2022.746678. eCollection 2022.

A Systematic Review and Individual Patient Data Network Analysis of the Residual Symptom Structure Following Cognitive-Behavioral Therapy and Escitalopram, Mirtazapine and Venlafaxine for Depression

Affiliations

A Systematic Review and Individual Patient Data Network Analysis of the Residual Symptom Structure Following Cognitive-Behavioral Therapy and Escitalopram, Mirtazapine and Venlafaxine for Depression

Aoife Whiston et al. Front Psychiatry. .

Abstract

Objective: Consistent evidence suggests residual depressive symptomology are the strongest predictors of depression relapse following cognitive-behavioral therapy (CBT) and antidepressant medications (ADM's). Psychometric network models help detecting and understanding central symptoms that remain post-treatment, along with their complex co-occurrences. However, individual psychometric network studies show inconsistent findings. This systematic review and IPD network analysis aimed to estimate and compare the symptom network structures of residual depressive symptoms following CBT, ADM's, and their combination.

Methods: PsycINFO, PsycArticles, and PubMed were systematically searched through October 2020 for studies that have assessed individuals with major depression at post-treatment receiving either CBT and/or ADM's (venlafaxine, escitalopram, mirtazapine). IPD was requested from eligible samples to estimate and compare residual symptom psychometric network models post-CBT and post-ADM's.

Results: In total, 25 from 663 eligible samples, including 1,389 patients qualified for the IPD. Depressed mood and anhedonia were consistently central residual symptoms post-CBT and post-ADM's. For CBT, fatigue-related and anxiety symptoms were also central post-treatment. A significant difference in network structure across treatments (CBT vs. ADM) was observed for samples measuring depression severity using the MADRS. Specifically, stronger symptom occurrences were present amongst lassitude-suicide post-CBT (vs. ADM's) and amongst lassitude-inability to feel post-ADM's (vs. CBT). No significant difference in global strength was observed across treatments.

Conclusions: Core major depression symptoms remain central across treatments, strategies to target these symptoms should be considered. Anxiety and fatigue related complaints also remain central post-CBT. Efforts must be made amongst researchers, institutions, and journals to permit sharing of IPD.Systematic Review Registration: A protocol was prospectively registered on PROSPERO (CRD42020141663; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=141663).

Keywords: antidepressants; cognitive-behavioral therapy (CBT); depression; network psychometrics; residual symptomology.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
PRISMA Flowchart of the review process and criteria for study selection.
Figure 2
Figure 2
Residual symptom network post-CBT, measured using the BDI-II. Blue edges indicate symptom activation, and red edges indicate symptom inhibition.
Figure 3
Figure 3
Residual symptom network post-CBT and ADM's, measured using the HDRS-17. Blue edges indicate symptom activation and red edges indicate symptom inhibition.
Figure 4
Figure 4
Residual symptom network post-CBT and ADM's, measured using the MADRS. Blue edges indicate symptom activation and red edges indicate symptom inhibition.

Similar articles

Cited by

References

    1. Rasmussen J, Young AH. Challenges of residual symptoms and functioning in management of MDD. Prog Neurol Psychiatry. (2018) 22:6–8. 10.1002/pnp.505 - DOI - PubMed
    1. Biesheuvel-Leliefeld KE, Kok GD, Bockting CL, Cuijpers P, Hollon SD, van Marwijk HW, et al. . Effectiveness of psychological interventions in preventing recurrence of depressive disorder: meta-analysis and meta-regression. J Affect Disord. (2015) 174:400–10. 10.1016/j.jad.2014.12.016 - DOI - PubMed
    1. Monroe SM, Harkness KL. Is depression a chronic mental illness? Psychol Med. (2012) 42:899–902. 10.1017/S0033291711002066 - DOI - PubMed
    1. Akechi T, Mantani A, Kurata KI, Hirota S, Shimodera S, Yamada M, et al. . Predicting relapse in major depression after successful initial pharmacological treatment. J Affect Disord. (2019) 250:108–13. 10.1016/j.jad.2019.03.004 - DOI - PubMed
    1. Vittengl JR, Clark LA, Dunn TW, Jarrett RB. Reducing relapse and recurrence in unipolar depression: a comparative meta-analysis of cognitive-behavioral therapy's effects. J Consult Clin Psychol. (2007) 75:475. 10.1037/0022-006X.75.3.475 - DOI - PMC - PubMed

Publication types

LinkOut - more resources