Effectiveness of cognitive behavioral therapy for depression in patients with multiple sclerosis: A systematic review and meta-analysis

BACKGROUND: The efficacy and methodologies of cognitive behavioral therapy (CBT) for treating depression in multiple sclerosis (MS) require further comprehensive research. METHODS: Two researchers conducted independent literature searches across 5 databases, utilizing the keywords "multiple sclerosis," "cognitive behavioral therapy," and "depression," without any restrictions on publication year. The Cochrane Risk of Bias Tool 2.0 was utilized to assess the included studies. Statistical analyses were conducted using standardized mean difference as the effect size with Stata 17.0 software. RESULTS: This meta-analysis included 22 studies. The results indicate that, regardless of whether delivered face-to-face, online, or via telephone, both individual and group CBT effectively alleviate depression in patients with MS. Significant improvements in depressive symptoms were observed starting from the second month of intervention and persisted for up to 6 months post-intervention. CONCLUSION: Patients with MS can flexibly choose the delivery modality of CBT based on their individual circumstances while engaging in treatment for around 2 months. They are encouraged to reengage in CBT within 6 months post-intervention to ensure the continuity and stability of depression treatment outcomes. Healthcare providers can offer various CBT delivery modalities based on the individual preferences and circumstances of patients with MS, while developing corresponding plans to enhance the effectiveness of depression management.

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Publication Details

Journal
Medicine
Published
2026-04-17
DOI
https://doi.org/10.1097/md.0000000000048327
Primary Topic
Multiple Sclerosis Research Studies
Type
article
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0.00
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article

Effectiveness of cognitive behavioral therapy for depression in patients with multiple sclerosis: A systematic review and meta-analysis

Yefeng Wang, Yaoying Zhou, Huali Xu, Bin Shen et al.
Medicine
Multiple Sclerosis Research Studies
article

Effectiveness of cognitive behavioral therapy for depression in patients with multiple sclerosis: A systematic review and meta-analysis

Yefeng Wang, Yaoying Zhou, Huali Xu, Bin Shen, Wenli Xu
article en

Abstract

BACKGROUND: The efficacy and methodologies of cognitive behavioral therapy (CBT) for treating depression in multiple sclerosis (MS) require further comprehensive research. METHODS: Two researchers conducted independent literature searches across 5 databases, utilizing the keywords "multiple sclerosis," "cognitive behavioral therapy," and "depression," without any restrictions on publication year. The Cochrane Risk of Bias Tool 2.0 was utilized to assess the included studies. Statistical analyses were conducted using standardized mean difference as the effect size with Stata 17.0 software. RESULTS: This meta-analysis included 22 studies. The results indicate that, regardless of whether delivered face-to-face, online, or via telephone, both individual and group CBT effectively alleviate depression in patients with MS. Significant improvements in depressive symptoms were observed starting from the second month of intervention and persisted for up to 6 months post-intervention. CONCLUSION: Patients with MS can flexibly choose the delivery modality of CBT based on their individual circumstances while engaging in treatment for around 2 months. They are encouraged to reengage in CBT within 6 months post-intervention to ensure the continuity and stability of depression treatment outcomes. Healthcare providers can offer various CBT delivery modalities based on the individual preferences and circumstances of patients with MS, while developing corresponding plans to enhance the effectiveness of depression management.

MedicineVol. 105(16)
Shaoxing People's Hospital (CN)
Openalex Percentile: Top 14%
Multiple Sclerosis Research Studies
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Effectiveness of cognitive behavioral therapy for depression in patients with multiple sclerosis: A systematic review and meta-analysis — Yefeng Wang, Yaoying Zhou, et al. · Medicine (2026) | TGRS Research Map | TGRS