Evidence map›Paper›PMID 40921953›Full record

SynthesisInternational journal of clinical oncology2025

Cognitive-behavioral and mindfulness-based therapies for mental health and quality of life of breast cancer patients: a meta-analysis of randomized controlled trials.

Ruiyi Su, Ruixiang Wang, Zhuyi Li, Yunyun Wang, Xiaoye Zhao, Yihan Sun, Jingwei Ni, Yichun Zhu, Jie Luan, Guangyu Tian and 1 more

Abstract readMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in International journal of clinical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Embedding psychological care in diabetes services: Why it's time to innovate and integrate.Diabetic medicine : a journal of the British Diabetic Association · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ruiyi Su *Institute for Applied Research in Public Health, School of Public Health, Nantong University, Nantong, China.
Ruixiang Wang *Institute for Applied Research in Public Health, School of Public Health, Nantong University, Nantong, China.
Zhuyi Li *Institute for Applied Research in Public Health, School of Public Health, Nantong University, Nantong, China.
Yunyun WangInstitute for Applied Research in Public Health, School of Public Health, Nantong University, Nantong, China.
Xiaoye ZhaoInstitute for Applied Research in Public Health, School of Public Health, Nantong University, Nantong, China.
Yihan SunInstitute for Applied Research in Public Health, School of Public Health, Nantong University, Nantong, China.
Jingwei NiInstitute for Applied Research in Public Health, School of Public Health, Nantong University, Nantong, China.
Yichun ZhuInstitute for Applied Research in Public Health, School of Public Health, Nantong University, Nantong, China.
Jie LuanDepartment of Disease Control, Qingdao Central Hospital, University of Health and Rehabilitation Sciences (Qingdao Central Hospital), Qingdao, Shandong, China. baby_joe@163.com.
Guangyu TianDepartment of Oncology, Jiangdu People's Hospital of Yangzhou, Yangzhou, Jiangsu, China. jdryzlzx@hotmail.com.
Tian TianInstitute for Applied Research in Public Health, School of Public Health, Nantong University, Nantong, China. ttyes001@ntu.edu.cn.ORCID http://orcid.org/0000-0002-1372-7730

Funding

National Natural Science Foundation of China 81703297
6 · The paper itself

Abstract

backgroundTo evaluate the effects of cognitive-behavioral therapy (CBT) and mindfulness-based therapy (MBT), individually and in combination, on alleviating anxiety and depression, and improving quality of life (QoL) in breast cancer patients.

methodsWe searched PubMed and EMBASE for articles published up to April 6, 2025, using the keywords "randomized controlled trials (RCTs)", "cognitive-behavioral therapy", "mindfulness-based therapy", and "breast cancer". Pooled effects were expressed as standardized mean differences (SMDs) and 95% confidence intervals (CIs).

resultsFifty-one RCTs were included. Compared with controls (usual care, wait-list control, etc.), CBT and MBT (analyzed separately or in combination) demonstrated significant benefits. The SMDs (95% CIs) were as follows: anxiety [CBT ( - 0.33,  - 0.52 to  - 0.14); MBT ( - 0.80,  - 1.16 to  - 0.45); combined ( - 0.55,  - 0.74 to  - 0.37)], depression [CBT ( - 0.31,  - 0.49 to  - 0.14); MBT ( - 0.80,  - 1.12 to  - 0.48); combined ( - 0.55,  - 0.73 to  - 0.37)] and QoL [CBT (0.38, 0.15 to 0.62); MBT (0.33, 0.11 to 0.55); combined (0.37, 0.20 to 0.53)]. MBT showed significantly greater efficacy than CBT for anxiety (p = 0.020) and depression (p = 0.009). Pooled effects of CBT and MBT were stronger for group-based and longer duration interventions (all outcomes), with effects on depression and QoL being especially strong in Asians. Face-to-face CBT outperformed internet-delivered CBT across all outcomes.

conclusionCBT and MBT, individually and combined, are effective for anxiety, depression, and QoL in breast cancer patients, with MBT demonstrating superior efficacy for anxiety and depression. The selection of psychological treatments for breast cancer patients should consider intervention method, ethnicity, intervention duration, and delivery format.

Indexed as

AnxietyBreast NeoplasmsCognitive Behavioral TherapyDepressionMindfulnessQuality of LifeFemaleHumansMental HealthRandomized Controlled Trials as TopicBreast cancerCognitivebehavioral therapyMeta-analysisMindfulness-based therapyRandomized controlled trial

Identifiers

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.