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Validation and Application of the Chinese Version of the M. D. Anderson Symptom Inventory in Breast Cancer Patients

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Abstract

Objective

To validate and use the Chinese Version of the M. D. Anderson Symptom Inventory (MDASI-C) to assess the symptom burden of breast cancer patients in China.

Methods

A total of 342 breast cancer patients in China participated in this study. Their symptoms were investigated with the MDASI-C from November 2020 to February 2021, and the reliability and validity of this tool were evaluated, respectively. Cluster analysis and correlation analysis were also performed.

Results

The Cronbach’s alpha coefficient values of the symptom and interference items were 0.827 and 0.880, respectively. Construct validity revealed a four-factor structure. The Kaiser—Meyer—Olkin value was 0.760. The Karnofsky Performance Status, treatment phase, and cancer stage of the patients were grouped, and the differences of scores within the groups were significant. In addition, the employment status, education level, and age of the patients were significantly correlated with the symptoms. The correlation analysis of the education level of the patients showed that most of the symptoms and interference items were reduced as the education level was increased. The top three symptoms were disturbed sleep (3.10±2.52), difficulty remembering (2.54±2.30), and fatigue (2.24±2.13). The clinical and biochemical indicators such as body mass index and neutral granulocyte lymphocyte ratio had effects on many symptoms. As the patients’ BMI increased, the patients’ pain, disturbed sleep, and difficulty remembering were aggravated, and numbness was alleviated.

Conclusion

The MDASI-C is a reliable and effective assessment tool to evaluate patients with breast cancer in China. The symptoms are related to many clinical and biochemical indicators.

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References

  1. Siegel RL, Miller KD, Fuchs HE, et al. Cancer Statistics, 2021. CA Cancer J Clin, 2021,71(1):7–33

    Article  Google Scholar 

  2. Azim HA, Ibrahim AS. Breast cancer in Egypt, China and Chinese: statistics and beyond. J Thorac Dis, 2014, 6(7):864–866

    Google Scholar 

  3. Cao W, Chen HD, Yu YW, et al. Changing profiles of cancer burden worldwide and in China: a secondary analysis of the global cancer statistics 2020. Chin Med J (Engl), 2021,134(7):783–791

    Article  Google Scholar 

  4. Kalter J, Verdonck-de Leeuw IM, et al. Effects and moderators of psychosocial interventions on quality of life, and emotional and social function in patients with cancer: An individual patient data meta-analysis of 22 RCTs. Psychooncology, 2018,27(4):1150–1161

    Article  CAS  Google Scholar 

  5. Subramaniam S, Kong YC, Chinna K, et al. Health-related quality of life and psychological distress among cancer survivors in a middle-income country. Psychooncology, 2018,27(9):2172–2179

    Article  Google Scholar 

  6. Wen FH, Chen JS, Chou WC, et al. Quality of life and psychological distress are differentially associated with distinct symptom-functional states in terminally ill cancer patients’ last year of life. Psychooncology, 2018,27(9):2111–2118

    Article  Google Scholar 

  7. Pachman DR, Barton DL, Swetz KM, et al. Troublesome symptoms in cancer survivors: fatigue, insomnia, neuropathy, and pain. J Clin Oncol, 2012,30(30):3687–3696

    Article  Google Scholar 

  8. Pandya C, Magnuson A, Dale W, et al. Association of falls with health-related quality of life (HRQOL) in older cancer survivors: A population based study. J Geriatr Oncol, 2016,7(3):201–210

    Article  Google Scholar 

  9. Shapiro CL. Cancer Survivorship. N Engl J Med, 2018,379(25):2438–2450

    Article  Google Scholar 

  10. Hamer J, McDonald R, Zhang L, et al. Quality of life (QOL) and symptom burden (SB) in patients with breast cancer. Support Care Cancer, 2017,25(2):409–419

    Article  Google Scholar 

  11. Admiraal JM, van Nuenen FM, Burgerhof JG, et al. Cancer patients’ referral wish: effects of distress, problems, socio-demographic and illness-related variables and social support sufficiency. Psychooncology, 2016,25(11):1363–1370

    Article  CAS  Google Scholar 

  12. Park EM, Deal AM, Check DK, et al. Parenting concerns, quality of life, and psychological distress in patients with advanced cancer. Psychooncology, 2016, 25(8):942–948

    Article  Google Scholar 

  13. Saadatpour L, Hemati S, Habibi F, et al. Linguistic Validation of the M. D. Anderson Symptom Inventory in Persian-Speaking Iranian Cancer Patients. J Pain Symptom Manage, 2015,50(3):387–393.

    Article  Google Scholar 

  14. Mendoza TR, Zhao F, Cleeland CS, et al. The validity and utility of the M. D. Anderson Symptom Inventory in patients with breast cancer: evidence from the symptom outcomes and practice patterns data from the eastern cooperative oncology group. Clin Breast Cancer, 2013, 13(5):325–334

    Article  CAS  Google Scholar 

  15. Wang XS, Wang Y, Guo H, et al. Chinese version of the M. D. Anderson Symptom Inventory: validation and application of symptom measurement in cancer patients. Cancer, 2004,101(8):1890–1901

    Article  Google Scholar 

  16. Wang XS, Cleeland CS, Mendoza TR, et al. Impact of cultural and linguistic factors on symptom reporting by patients with cancer. J Natl Cancer Inst, 2010,102(10): 732–738

    Article  Google Scholar 

  17. Anshabo AT, Migbaru S, Mulu A, et al. Validation of the Amharic Version of the M. D. Anderson Symptom Inventory and Assessment of Symptoms in Ethiopian Cancer Patients. J Pain Symptom Manage, 2016,51(5):947–953

    Article  Google Scholar 

  18. Guirimand F, Buyck JF, Lauwers-Allot E, et al. Cancer-related symptom assessment in France: validation of the French M. D. Anderson Symptom Inventory. J Pain Symptom Manage, 2010,39(4):721–733

    Article  Google Scholar 

  19. Mystakidou K, Cleeland C, Tsilika E, et al. Greek M.D. Anderson Symptom Inventory: validation and utility in cancer patients. Oncology, 2004,67(3–4):203–210

    Article  Google Scholar 

  20. Chen RW, Yang SL, Xu ZY, et al. Validation and Application of the Chinese Version of the M. D. Anderson Symptom Inventory Gastrointestinal Cancer Module (MDASI-GI-C). J Pain Symptom Manage, 2019,57(4):820–827

    Article  Google Scholar 

  21. Lin CC, Chang AP, Cleeland CS, et al. Taiwanese version of the M. D. Anderson symptom inventory: symptom assessment in cancer patients. J Pain Symptom Manage, 2007,33(2):180–188

    Article  Google Scholar 

  22. Aktas A, Walsh D, Kirkova J. The psychometric properties of cancer multisymptom assessment instruments: a clinical review. Support Care Cancer, 2015,23(7):2189–2202

    Article  Google Scholar 

  23. Carvalho CS, Souza DS, Lopes JR, et al. Relationship between patient-generated subjective global assessment and survival in patients in palliative care. Ann Palliat Med, 2017,6(Suppl 1):S4–S12

    Article  Google Scholar 

  24. Gulati RR. The Challenge of Cancer Pain Assessment. Ulster Med J, 2021,90(1):37–40

    Google Scholar 

  25. Lesley A, Henson M, Matthew Maddocks P, et al. Palliative care and the management of common distressing symptoms in advanced cancer: Pain, breathlessness, nausea and vomiting, and fatigue. J Clin Oncol, 2020,38(9):905–914

    Article  Google Scholar 

  26. Cheung WY, Le LW, Gagliese L, et al. Age and gender differences in symptom intensity and symptom clusters among patients with metastatic cancer. Support Care Cancer, 2011,19(3):417–423

    Article  Google Scholar 

  27. Nipp RD, Greer JA, El-Jawahri A, et al. Age and Gender Moderate the Impact of Early Palliative Care in Metastatic Non-Small Cell Lung Cancer. Oncologist, 2016,21(1):119–126

    Article  Google Scholar 

  28. Chow E, Abdolell M, Panzarella T, et al. Predictive model for survival in patients with advanced cancer. J Clin Oncol, 2008,26(36):5863–5869

    Article  Google Scholar 

  29. Chow S, Wan BA, Pidduck W, et al. Symptom clusters in patients with breast cancer receiving radiation therapy. Eur J Oncol Nurs, 2019,42:14–20

    Article  Google Scholar 

  30. Sullivan CW, Leutwyler H, Dunn LB, et al. Stability of Symptom Clusters in Patients With Breast Cancer Receiving Chemotherapy. J Pain Symptom Manage, 2018,55(1):39–55

    Article  Google Scholar 

  31. Rhondali W, Chisholm GB, Daneshmand M, et al. Association between body image dissatisfaction and weight loss among patients with advanced cancer and their caregivers: a preliminary report. J Pain Symptom Manage, 2013,45(6):1039–1049

    Article  Google Scholar 

  32. Hwang SS, Chang VT, Rue M, et al. Multidimensional independent predictors of cancer-related fatigue. J Pain Symptom Manage, 2003,26(1):604–614

    Article  Google Scholar 

  33. Strasser F, Blum D, von Moos R, et al. The effect of real-time electronic monitoring of patient-reported symptoms and clinical syndromes in outpatient workflow of medical oncologists: E-MOSAIC, a multicenter cluster-randomized phase III study (SAKK 95/06). Ann Oncol, 2016,27(2):324–332

    Article  CAS  Google Scholar 

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Corresponding author

Correspondence to Jing Cheng.

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The authors declare that they have no conflicts of interest.

Additional information

This work was supported by the National Natural Science Foundation of China (No. 81672977).

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Chen, Rw., Wang, Q., Hu, T. et al. Validation and Application of the Chinese Version of the M. D. Anderson Symptom Inventory in Breast Cancer Patients. CURR MED SCI 42, 426–433 (2022). https://doi.org/10.1007/s11596-022-2544-1

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  • DOI: https://doi.org/10.1007/s11596-022-2544-1

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