Evidence map›Paper›PMID 42026198›Full record

ReviewSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026

Interventions for enhancing resilience in breast cancer patients: a realist review.

Hongli Chen, Xiaotong Ding, Jingjing Gu, Huimin Chen, Qing Wang, Mingyue Zhu, Shuaifang Wei, Zhongchen Luo, Zheng Li

Abstract readReview
PubMed Publisher
In one paragraph

Review in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

9 authors.

Hongli Chen *School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, 33 Badachu Road, Shijingshan District, Beijing, 100144, China.
Xiaotong Ding *School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, 100871, China.
Jingjing GuSchool of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, 33 Badachu Road, Shijingshan District, Beijing, 100144, China.
Huimin ChenSchool of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, 33 Badachu Road, Shijingshan District, Beijing, 100144, China.
Qing WangSchool of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, 33 Badachu Road, Shijingshan District, Beijing, 100144, China.
Mingyue ZhuSchool of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, 33 Badachu Road, Shijingshan District, Beijing, 100144, China.
Shuaifang WeiSchool of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, 33 Badachu Road, Shijingshan District, Beijing, 100144, China.
Zhongchen LuoSchool of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, 33 Badachu Road, Shijingshan District, Beijing, 100144, China.
Zheng LiSchool of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, 33 Badachu Road, Shijingshan District, Beijing, 100144, China. zhengli@pumc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer is a growing global health issue. The treatment of breast cancer has a significant impact on women's health. Various efficacious interventions are available to enhance resilience. However, it remains unclear what mechanisms are triggered or if specific contexts favor the activation of different mechanisms. This review aims to comprehend how the different interventions lead to changes in resilience in breast cancer patients.

methodThis study followed a realist review approach with an iterative design. First, the research scope was defined and an initial conceptual model was developed. Relevant evidence was then searched and collated from nine databases. Studies on interventions to improve resilience in patients with breast cancer were included. The included studies were appraised using the RAMESES standards for relevance and rigor. Data on study characteristics, contexts, interventions, and outcomes were extracted, and context-mechanism-outcome (C-M-O) configurations were identified, classified, and qualitatively synthesized across interventions.

resultsA total of 65 articles were included. The intervention on resilience was administered to patients with breast cancer of all tumor stages. Key outcomes were grouped: resilience, quality of life, treatment compliance, nursing satisfaction, etc. The mechanisms identified underpinning change outcomes related to interventions (e.g., cognitive intervention) on resilience encompassed the sub-themes of external factors (e.g., social support, collective endeavor, supervision, feedback), self-response and resources (e.g., positive psychological resources, emotional connection), individual changes (e.g., mood change, cognitive change, active coping).

conclusionsThe success of interventions for breast cancer patients depends on the quality of interactions of mechanisms. Taking into account contextual factors and the interaction process of individuals (e.g., positive psychological) and the environment (e.g., collective endeavor) promotes resilience's occurrence, development, and effect can increase the likelihood of successful interventions. To better improve the resilience of breast cancer patients, intervention schemes targeted at activating these mechanisms should be formulated.

Indexed as

Breast NeoplasmsQuality of LifeResilience, PsychologicalAdaptation, PsychologicalFemaleHumansSocial SupportBreast cancerInterventionRealist reviewResilience

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.