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Mindfulness-based interventions for breast cancer patients in China across outcome domains: a systematic review and meta-analysis of the Chinese literature

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Abstract

Objective

This study aims to evaluate the treatment effect of a mindfulness-based intervention for Chinese breast cancer patients across outcome domains, including symptom-related, psychosocial, and quality of life outcomes.

Methods

Following the Cochrane Systematic Review guideline, we searched across five electronic databases, reference lists of eligible studies, professional websites, and major academic journals in Chinese. Publication bias was assessed using funnel plot and Vevea and Woods sensitivity analysis, and risk of bias was evaluated using the revised Cochrane risk of bias tool for randomized trials and risk of bias in non-randomized studies of interventions. A meta-analysis of Hedges’ g was conducted using meta-regression with robust variance estimation.

Results

Final analysis included a total of 45 controlled trials containing 286 effect size estimates. Across outcome domains, studies reported an overall large and statistically significant treatment effect, d = 0.921, 95% CI (0.805, 1.040), p < 0.001. Subgroup analyses of specific domains of outcome reported overall significant treatment effects for (1) symptom-related outcomes, d = 0.885, 95% CI (0.657, 1.110), p < 0.001; (2) psychosocial wellness outcomes, d = 0.984, 95% CI (0.879, 1.090), p < 0.001; and (3) quality of life, d = 0.990, 95% CI (0.776, 1.200), p < 0.001. Moderator analysis did not identify any significant moderator.

Conclusion

Chinese literature reported an overall statistically significant and large treatment effect of a mindfulness-based intervention for breast cancer patients in China. Except for physical symptom outcomes, e.g., nausea/vomiting and pain, a mindfulness-based intervention was effective across outcome domains among Chinese breast cancer patients.

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References

  1. Winters S, Martin C, Murphy D, Shokar NK (2017) Breast cancer epidemiology, prevention, and screening. Prog Mol Biol Transl Sci 151:1–32

    Article  CAS  PubMed  Google Scholar 

  2. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A (2018) Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 68(6):394–424

    Article  PubMed  Google Scholar 

  3. Chen W, Zheng R (2015) Incidence, mortality and survival analysis of breast cancer in China. Chin J Clin Oncol 13:668–674

    Google Scholar 

  4. Gianni L, Pienkowski T, Im YH, Tseng LM, Liu MC, Lluch A et al (2016) 5-year analysis of neoadjuvant pertuzumab and trastuzumab in patients with locally advanced, inflammatory, or early-stage HER2-positive breast cancer (NeoSphere): a multicentre, open-label, phase 2 randomised trial. Lancet Oncol 17(6):791–800

    Article  CAS  PubMed  Google Scholar 

  5. Park EH, Min SY, Kim Z, Yoon CS, Jung KW, Nam SJ et al (2017) Basic facts of breast cancer in Korea in 2014: the 10-year overall survival progress. J Breast Cancer 20(1):1–11

    Article  PubMed  PubMed Central  Google Scholar 

  6. Campbell-Enns HJ, Woodgate RL (2017) The psychosocial experiences of women with breast cancer across the lifespan: a systematic review. Psycho-Oncology. 26(11):1711–1721

    Article  PubMed  Google Scholar 

  7. Fiszer C, Dolbeault S, Sultan S, Brédart A (2014) Prevalence, intensity, and predictors of the supportive care needs of women diagnosed with breast cancer: a systematic review. Psycho-Oncology. 23(4):361–374

    Article  PubMed  Google Scholar 

  8. Lam WW, Au AH, Wong JH, Lehmann C, Koch U, Fielding R, Mehnert A (2011) Unmet supportive care needs: a cross-cultural comparison between Hong Kong Chinese and German Caucasian women with breast cancer. Breast Cancer Res Treat 130(2):531–541

    Article  PubMed  Google Scholar 

  9. Pillai US, Kayal S, Cyriac S, Nisha Y, Dharanipragada K, Kamalanathan SK et al (2019) Late effects of breast cancer treatment and outcome after corrective interventions. Asian Pac J Cancer Prev 20(9):2673

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Wanchai A, Armer JM (2020) A systematic review association of reflexology in managing symptoms and side effects of breast cancer treatment. Complement Ther Clin Pract 38:101074

    Article  PubMed  Google Scholar 

  11. Miller KD, Siegel RL, Lin CC, Mariotto AB, Kramer JL, Rowland JH et al (2016) Cancer treatment and survivorship statistics, 2016. CA Cancer J Clin 66(4):271–289

    Article  PubMed  Google Scholar 

  12. Tao JJ, Visvanathan K, Wolff AC (2015) Long term side effects of adjuvant chemotherapy in patients with early breast cancer. Breast 24:S149–S153

    Article  PubMed  Google Scholar 

  13. Carlson LE, Zelinski EL, Toivonen KI, Sundstrom L, Jobin CT, Damaskos P, Zebrack B (2019) Prevalence of psychosocial distress in cancer patients across 55 North American cancer centers. J Psychosoc Oncol 37(1):5–21

    Article  PubMed  Google Scholar 

  14. Fallowfield L, Jenkins V (2015) Psychosocial/survivorship issues in breast cancer: are we doing better? J Natl Cancer Inst 107(1):dju335

    Article  PubMed  Google Scholar 

  15. Naik H, Leung B, Laskin J, McDonald M, Srikanthan A, Wu J et al (2020) Emotional distress and psychosocial needs in patients with breast cancer in British Columbia: younger versus older adults. Breast Cancer Res Treat 179(2):471–477

    Article  PubMed  Google Scholar 

  16. Hashemi SM, Rafiemanesh H, Aghamohammadi T, Badakhsh M, Amirshahi M, Sari M, Behnamfar N, Roudini K (2020) Prevalence of anxiety among breast cancer patients: a systematic review and meta-analysis. Breast Cancer 27(2):166–178

    Article  PubMed  Google Scholar 

  17. Pilevarzadeh M, Amirshahi M, Afsargharehbagh R, Rafiemanesh H, Hashemi SM, Balouchi A (2019) Global prevalence of depression among breast cancer patients: a systematic review and meta-analysis. Breast Cancer Res Treat 176(3):519–533

    Article  PubMed  Google Scholar 

  18. Ai ZP, Gao XL, Li JF, Zhou JR, Wu YF (2017) Changing trends and influencing factors of the quality of life of chemotherapy patients with breast cancer. Chin Nurs Res 4(1):18–23

    Article  Google Scholar 

  19. Finck C, Barradas S, Zenger M, Hinz A (2018) Quality of life in breast cancer patients: associations with optimism and social support. Int J Clin Health Psychol 18(1):27–34

    Article  PubMed  Google Scholar 

  20. Creswell JD (2017) Mindfulness interventions. Annu Rev Psychol 68:491–516

    Article  PubMed  Google Scholar 

  21. Eisenlohr-Moul T, Peters JR, Baer RA (2015) How do mindfulness-based interventions work? Strategies for studying mechanisms of change in clinical research. Handbook of mindfulness and self-regulation. Springer, New York, NY, pp 155–170

    Chapter  Google Scholar 

  22. Zhang A, Hu R, Wang K, Antalis EP (2020) Age moderates the association between psychological distress and engagement in mindfulness among cancer patients and survivors: a population-based study. J Psychosoc Oncol 38(5):513–526

    Article  PubMed  Google Scholar 

  23. Greer JA, Park ER, Prigerson HG, Safren SA (2010) Tailoring cognitive-behavioral therapy to treat anxiety comorbid with advanced cancer. J Cogn Psychother 24(4):294–313

    Article  PubMed  PubMed Central  Google Scholar 

  24. Landa-Ramírez E, Greer JA, Sánchez-Román S, Manolov R, Salado-Avila MM, Templos-Esteban LA, Riveros-Rosas A (2020) Tailoring cognitive behavioral therapy for depression and anxiety symptoms in Mexican terminal cancer patients: a multiple baseline study. J Clin Psychol Med Settings 27(1):54–67

    Article  PubMed  Google Scholar 

  25. Cramer H, Lauche R, Paul A, Dobos G (2012) Mindfulness-based stress reduction for breast cancer—a systematic review and meta-analysis. Curr Oncol 19(5):e343

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Huang HP, He M, Wang HY, Zhou M (2016) A meta-analysis of the benefits of mindfulness-based stress reduction (MBSR) on psychological function among breast cancer (BC) survivors. Breast Cancer 23(4):568–576

    Article  PubMed  Google Scholar 

  27. Zainal NZ, Booth S, Huppert FA (2013) The efficacy of mindfulness-based stress reduction on mental health of breast cancer patients: a meta-analysis. Psycho-Oncology. 22(7):1457–1465

    Article  PubMed  Google Scholar 

  28. Zhang Q, Zhao H, Zheng Y (2019) Effectiveness of mindfulness-based stress reduction (MBSR) on symptom variables and health-related quality of life in breast cancer patients—a systematic review and meta-analysis. Support Care Cancer 27(3):771–781

    Article  PubMed  Google Scholar 

  29. Cifu G, Power MC, Shomstein S, Arem H (2018) Mindfulness-based interventions and cognitive function among breast cancer survivors: a systematic review. BMC Cancer 18(1):1163

    Article  PubMed  PubMed Central  Google Scholar 

  30. Haller H, Winkler MM, Klose P, Dobos G, Kuemmel S, Cramer H (2017) Mindfulness-based interventions for women with breast cancer: an updated systematic review and meta-analysis. Acta Oncol 56(12):1665–1676

    Article  PubMed  Google Scholar 

  31. Zhang J, Xu R, Wang B, Wang J (2016) Effects of mindfulness-based therapy for patients with breast cancer: a systematic review and meta-analysis. Effects of mindfulness-based therapy for patients with breast cancer: a systematic review and meta-analysis. Complement Ther Med 26:1–10

    Article  PubMed  Google Scholar 

  32. DeSantis CE, Ma J, Goding Sauer A, Newman LA, Jemal A (2017) Breast cancer statistics, 2017, racial disparity in mortality by state. CA Cancer J Clin 67(6):439–448

    Article  PubMed  Google Scholar 

  33. Alagoz O, Ergun MA, Cevik M, Sprague BL, Fryback DG, Gangnon RE et al (2018) The University of Wisconsin breast cancer epidemiology simulation model: an update. Med Decis Mak 38(1S):99S–111S

    Article  Google Scholar 

  34. Gomez SL, Clarke CA, Shema SJ, Chang ET, Keegan TH, Glaser SL (2010) Disparities in breast cancer survival among Asian women by ethnicity and immigrant status: a population-based study. Am J Public Health 100(5):861–869

    Article  PubMed  PubMed Central  Google Scholar 

  35. Chen MS (2005) Cancer health disparities among Asian Americans: what we know and what we need to do. Cancer. 104(S12):2895–2902

    Article  PubMed  Google Scholar 

  36. Wen KY, Fang CY, Ma GX (2014) Breast cancer experience and survivorship among Asian Americans: a systematic review. J Cancer Surviv 8(1):94–107

    Article  PubMed  Google Scholar 

  37. Vevea JL, Woods CM (2005) Publication bias in research synthesis: sensitivity analysis using a priori weight functions. Psychol Methods 10(4):428

    Article  PubMed  Google Scholar 

  38. Higgins JP, Thomas J, Chandler J, Cumpston M, Li T, Page MJ, Welch VA (eds) (2019) Cochrane handbook for systematic reviews of interventions. John Wiley & Sons, Hoboken, New Jersey

  39. Sterne JA, Hernán MA, Reeves BC, Savović J, Berkman ND, Viswanathan M, ..., Carpenter JR (2016) ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ. 355

  40. Cooper H, Hedges LV, Valentine JC (2019) The handbook of research synthesis and meta-analysis, 3rd edition. Russell Sage Foundation

  41. Hedges LV, Tipton E, Johnson MC (2010) Robust variance estimation in meta-regression with dependent effect size estimates. Res Synth Methods 1(1):39–65

    Article  PubMed  Google Scholar 

  42. Tipton E, Postejovsky JE (2015) Small-sample adjustments for tests of moderators and model fit using robust variance estimation in meta-regression. J Educ Behav Stat 40(6):604–634

    Article  Google Scholar 

  43. Amaro A (2015) A holistic mindfulness. Mindfulness. 6(1):63–73

    Article  Google Scholar 

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Availability of data and material

Data can be made available upon request from the corresponding author.

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Authors and Affiliations

Authors

Contributions

Shijie Jing: conceptualization; data curation; investigation; project administration; supervision; validation; writing the original manuscript

Anao Zhang: conceptualization; formal analysis; methodology; project administration; supervision; writing the original manuscript

Yuying Chen: data curation; investigation; validation

Changyi Shen: data curation; investigation; validation

Jennifer Currin-McCulloch: conceptualization; validation; writing the original manuscript

Chenfang Zhu: validation; writing the original manuscript

Corresponding author

Correspondence to Shijie Jing.

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Jing, S., Zhang, A., Chen, Y. et al. Mindfulness-based interventions for breast cancer patients in China across outcome domains: a systematic review and meta-analysis of the Chinese literature. Support Care Cancer 29, 5611–5621 (2021). https://doi.org/10.1007/s00520-021-06166-0

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