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Research article
Rongjiang Jin
Corresponding Author
ORCiD: https://orcid.org/0000-0002-4733-9955
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This work is licensed under a CC BY 4.0 License. Read Full License
Background: Mindfulness-based cognitive therapy (MBCT) has been increasingly applied to clinical management of relapse of depression. However, the uncertainties of MBCT versus active-control conditions (ACCs) in reducing relapse rate in subjects with recurrent depression exist. This systematic review and meta-analysis intend to compare the effects of MBCT versus ACCs in reducing relapse of depressive disorder.
Methods: Electronic search of relevant literatures was performed on major medical databases. Randomized controlled trials evaluating MBCT versus ACCs for recurrent depressive disorder among adults were included. Risk of bias evaluation, meta-analysis, trial sequential analysis and evidence rating of all extracted information were conducted by two independent reviewers.
Results: Six trials with 1061 participants were deemed eligible for meta-analysis. Low risk of bias was found across the 6 studies and no heterogeneity was found among them. There was no significant difference between MBCT and ACCs in reducing relapse rate in patients with recurrent depressive disorder. The pooled sample size did not meet the inquired information size of trial sequential analysis which indicated that the result may be false negative. A total of 25 adverse events were formally recorded, but none were attributed to intervention. The quality of evidence was moderate due to the inadequate pooled sample size.
Conclusions: There was no significant difference between MBCT and ACCs in reducing relapse rate in patients with recurrent depressive disorder based on the available evidence. Future research will be needed to obtain a more explicit conclusion.
Keywords
Mindfulness-based cognitive therapy, Recurrent depression, Depressive disorder, Meta-analysis
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This is a preprint. It has not completed peer review.
Research article
Rongjiang Jin
Corresponding Author
ORCiD: https://orcid.org/0000-0002-4733-9955
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 18 Mar, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Psychiatry
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: Mindfulness-based cognitive therapy (MBCT) has been increasingly applied to clinical management of relapse of depression. However, the uncertainties of MBCT versus active-control conditions (ACCs) in reducing relapse rate in subjects with recurrent depression exist. This systematic review and meta-analysis intend to compare the effects of MBCT versus ACCs in reducing relapse of depressive disorder.
Methods: Electronic search of relevant literatures was performed on major medical databases. Randomized controlled trials evaluating MBCT versus ACCs for recurrent depressive disorder among adults were included. Risk of bias evaluation, meta-analysis, trial sequential analysis and evidence rating of all extracted information were conducted by two independent reviewers.
Results: Six trials with 1061 participants were deemed eligible for meta-analysis. Low risk of bias was found across the 6 studies and no heterogeneity was found among them. There was no significant difference between MBCT and ACCs in reducing relapse rate in patients with recurrent depressive disorder. The pooled sample size did not meet the inquired information size of trial sequential analysis which indicated that the result may be false negative. A total of 25 adverse events were formally recorded, but none were attributed to intervention. The quality of evidence was moderate due to the inadequate pooled sample size.
Conclusions: There was no significant difference between MBCT and ACCs in reducing relapse rate in patients with recurrent depressive disorder based on the available evidence. Future research will be needed to obtain a more explicit conclusion.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
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