Skip to main content

Advertisement

Log in

Predictors of persistence of post-chemotherapy symptoms among survivors of solid tumor cancers

  • Published:
Quality of Life Research Aims and scope Submit manuscript

Abstract

Context

Late or residual symptoms diminish quality of life for many cancer survivors after completion of treatment.

Objectives

Examine risk factors associated with persisting symptom burden after chemotherapy and the lack of symptom improvement over time.

Methods

Survivors who completed curative-intent chemotherapy within two years for solid tumors were enrolled into a symptom management trial. There were 375 survivors with two or more comorbid conditions or one comorbid condition and elevated depressive symptoms (pre-defined risk factors in the trial design) who received interventions and 71 survivors without these risk factors who did not receive interventions. For all survivors, symptoms were assessed at intake, 4, and 13 weeks and categorized as mild, moderate, or severe based on the interference with daily life. The probabilities of moderate or severe symptoms and symptom improvement were analyzed using generalized mixed-effects models in relation to comorbidity, depressive symptoms, age, sex, race/ethnicity, employment, time since chemotherapy completion, and physical function. Multiple symptoms were treated as nested within the survivor.

Results

Moderate or severe symptoms at baseline and the lack of improvement over time were associated with younger age and lower physical function over and above a greater number of comorbidities and elevated severity of depressive symptoms.

Conclusion

Risk factors identified in this research (younger age, lower physical function, greater comorbidity, and higher depressive symptoms) can be used to allocate resources for post-treatment symptom management for cancer survivors in order to relieve symptoms that do not necessarily resolve with time.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Cleeland, C., Zhao, F., Chang, V., et al. (2013). The symptom burden of cancer: Evidence for a core set of cancer-related and treatment-related symptoms from the eastern cooperative oncology group symptom outcomes and practice patterns study. Cancer, 119(24), 4333–4340. https://doi.org/10.1002/cncr.28376

    Article  PubMed  Google Scholar 

  2. Portenoy, R. K., Thaler, H. T., Kornblith, A. B., et al. (1994). Symptom prevalence, characteristics and distress in a cancer population. Quality of Life Research, 3(3), 183–189.

    Article  CAS  PubMed  Google Scholar 

  3. Kim, S. H., Kim, K., & Mayer, D. K. (2017). Self-management intervention for adult cancer survivors after treatment: a systematic review and meta-analysis. Oncology Nursing Forum, 44(6), 719–728. https://doi.org/10.1188/17.ONF.719-728

    Article  PubMed  Google Scholar 

  4. Faul, L. A., Jim, H. S., Williams, C., Loftus, L., & Jacobsen, P. B. (2010). Relationship of stress managment skills to psychological distress and quality of life in adults with cancer. Psycho Oncology., 19(1), 102–109.

    Article  PubMed  Google Scholar 

  5. Jacobs, J. M., Ream, M. E., Pensak, N., et al. (2019). Patient experiences with oral chemotherapy: adherence, symptoms, and quality of life. Journal of the National Comprehensive Cancer Network, 17(3), 221–228. https://doi.org/10.6004/jnccn.2018.7098

    Article  PubMed  PubMed Central  Google Scholar 

  6. Ganz, P., Kwan, L., Stanton, A., Krupnick, J., Rowland, J. H., & Meyerowitz, B. (2004). Quality of life at the end of primary treatment of breast cancer: First results from the moving beyond cancer randomized trial. Journal of the National Cancer Institute, 96(5), 376–387.

    Article  PubMed  Google Scholar 

  7. Ganz, P. A., Kwan, L., Stanton, A. L., Bower, J. E., & Belin, T. R. (2011). Physical and psychosocial recovery in the year after primary treatment of breast cancer. Journal of Clinical Oncology, 29(9), 1101–1109. https://doi.org/10.1200/JCO.2010.28.8043

    Article  PubMed  PubMed Central  Google Scholar 

  8. Post, K. E. F. J. (2016). Web based survivorship interventions for women with breast cancer: An integrative review. European Journal of Oncology Nursing, 25, 90–99. https://doi.org/10.1016/j.ejon.2016.10.004

    Article  PubMed  Google Scholar 

  9. Ferrell, B. R., Dow, K. H., & Grant, M. (1995). Measurement of the quality of life in cancer survivors. Quality of Life Research, 4(6), 523–531. https://doi.org/10.1007/BF00634747

    Article  CAS  PubMed  Google Scholar 

  10. Boivin, M. J., Sikorskii, A., Haan, P., et al. (2021). Health-related quality of life: longitudinal analysis from the time of breast biopsy into the post-treatment period. Front Glob Womens Health, 2, 608787. https://doi.org/10.3389/fgwh.2021.608787

    Article  PubMed  PubMed Central  Google Scholar 

  11. Given, C. W., Given, B., Azzouz, F., Kozachik, S., & Stommel, M. (2001). Predictors of pain and fatigue in the year following diagnosis among elderly cancer patients. Journal of Pain and Symptom Management, 21(6), 456–466. https://doi.org/10.1016/s0885-3924(01)00284-6

    Article  CAS  PubMed  Google Scholar 

  12. Dougherty, P., Cata, J., Cordella, J., Burton, A., & Weng, H. (2004). Taxol-induced sensory disturbance is characterized by preferential impairment of myelinated fiber function in cancer patients. Pain, 109, 132–142.

    Article  CAS  PubMed  Google Scholar 

  13. Mercadante, S., Casuccio, A., & Fulfaro, F. (2000). The course of symptom frequency and intensity in advanced cancer patients followed at home. Journal of Pain and Symptom Management, 20(2), 104–112.

    Article  CAS  PubMed  Google Scholar 

  14. Dupont, A., Bower, J. E., Stanton, A. L., & Ganz, P. A. (2013). Cancer-related intrusive thoughts predict behavioral symptoms following breast cancer treatment. Health Psychology. https://doi.org/10.1037/a0031131

    Article  PubMed  PubMed Central  Google Scholar 

  15. Jansen, C. E., Miaskowski, C., Dodd, M., Dowling, G., & Kramer, J. (2005). A metaanalysis of studies of the effects of cancer chemotherapy on various domains of cognitive function. Cancer, 104(10), 2222–2233. https://doi.org/10.1002/cncr.21469

    Article  PubMed  Google Scholar 

  16. Carreira, H., Williams, R., Müller, M., Harewood, R., Stanway, S., & Bhaskaran, K. (2018). Associations between breast cancer survivorship and adverse mental health outcomes: a systematic review. Journal of the National Cancer Institute, 110(12), 1311–1327. https://doi.org/10.1093/jnci/djy177

    Article  PubMed  PubMed Central  Google Scholar 

  17. Costa, D. S. J., & Fardell, J. E. (2019). Why are objective and perceived cognitive function weakly correlated in patients with cancer? Journal of Clinical Oncology, 37(14), 1154–1158. https://doi.org/10.1200/JCO.18.02363

    Article  PubMed  Google Scholar 

  18. Kroenke, K. (2001). Studying symptoms: Sampling and measurement issues. Annals of internal medicine, 134(9 Pt 2), 844–853.

    Article  CAS  PubMed  Google Scholar 

  19. Wilson, I. B., & Cleary, P. D. (1995). Linking clinical variables with health-related quality of life. A conceptual model of patient outcomes. JAMA, 273(1), 59–65.

    Article  CAS  PubMed  Google Scholar 

  20. Misono, S., Weiss, N. S., Fann, J. R., Redman, M., & Yueh, B. (2008). Incidence of suicide in persons with cancer. Journal of clinical oncology : Official journal of the American Society of Clinical Oncology, 26(29), 4731–4738.

    Article  PubMed  Google Scholar 

  21. Fann, J. R., Thomas-Rich, A. M., Katon, W. J., et al. (2008). Major depression after breast cancer: A review of epidemiology and treatment. General hospital psychiatry, 30(2), 112–126.

    Article  PubMed  Google Scholar 

  22. Jahan, N., Cathcart-Rake, E. J., & Ruddy, K. J. (2022). Late breast cancer survivorship: side effects and care recommendations. Journal of Clinical Oncology, 40(15), 1604–1610. https://doi.org/10.1200/JCO.22.00049

    Article  PubMed  PubMed Central  Google Scholar 

  23. Badger, T. A., Sikorskii, A., Segrin, C., Crane, T. E., & Hadeed, M. (2020). Symptom Management and Survivorship Handbook (2nd ed.). University of Arizona College of Nursing.

    Google Scholar 

  24. Korn, C. W., Sharot, T., Walter, H., Heekeren, H. R., & Dolan, R. J. (2014). Depression is related to an adsence fo optimistically baiased belief updating about future life events. Psychological Medicine, 44(3), 579–592. https://doi.org/10.1017/S0033291713001074

    Article  CAS  PubMed  Google Scholar 

  25. Dozois, D. J., & Dobson, K. S. (2001). Information processing and colgnitive organization in unipolar depression: Specificity and comorbidity issues. Journal of Abnormal Psychology, 110(2), 236–246.

    Article  CAS  PubMed  Google Scholar 

  26. Hjerl, K., Andersen, E. W., Keiding, N., Mortensen, P. B., & Jorgensen, T. (2002). Increased incidence of affective disorders, anxiety disorders, and non-natural mortality in women after breast cancer diagnosis: A nation-wide cohort study in Denmark. Acta Psychiatrica Scandinavica, 105(4), 258–264.

    Article  CAS  PubMed  Google Scholar 

  27. Zhu, L., Ranchor, A. V., van der Lee, M., et al. (2017). Co-morbidity of depression, anxiety and fatigue in cancer patients receiving psychological care. Psycho-Oncology, 26(4), 444–451. https://doi.org/10.1002/pon.4153

    Article  PubMed  Google Scholar 

  28. Bayliss, E. A., Ellis, J. L., & Steiner, J. F. (2007). Barriers to self-management and quality-of-life outcomes in seniors with multimorbidities. Annals of Family Medicine, 5(5), 395–402.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Bender, C. M., Engberg, S. J., Donovan, H. S., et al. (2008). Symptom clusters in adults with chronic health problems and cancer as a comorbidity. Oncology Nursing Forum, 35(1), E1–E11.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Das, S. C., Khurana, H., Gupta, D., Mishra, S., & Bhatnagar, S. (2009). Comorbidities in a cancer patient: Problems in pain management and palliation. The American Journal of Hospice & Palliative Care, 26(1), 60–63. https://doi.org/10.1177/1049909108322297

    Article  Google Scholar 

  31. Gerbershagen, H. J., Ozgur, E., Straub, K., et al. (2008). Prevalence, severity, and chronicity of pain and general health-related quality of life in patients with localized prostate cancer. European journal of pain (London, England), 12(3), 339–350. https://doi.org/10.1016/j.ejpain.2007.07.006

    Article  PubMed  Google Scholar 

  32. Harlan, L. C., Klabunde, C. N., Ambs, A. H., et al. (2009). Comorbidities, therapy, and newly diagnosed conditions for women with early stage breast cancer. Journal of Cancer Survivorship, 3(2), 89–98. https://doi.org/10.1007/s11764-009-0084-3

    Article  PubMed  PubMed Central  Google Scholar 

  33. Harris, E. E., Hwang, W. T., Urtishak, S. L., Plastaras, J., Kinosian, B., & Solin, L. J. (2008). The impact of comorbidities on outcomes for elderly women treated with breast-conservation treatment for early-stage breast cancer. International Journal of Radiation Oncology Biology Physics, 70(5), 1453–1459. https://doi.org/10.1016/j.ijrobp.2007.08.059

    Article  PubMed  Google Scholar 

  34. Pinkawa, M., Fischedick, K., Gagel, B., et al. (2009). Impact of age and comorbidities on health-related quality of life for patients with prostate cancer: evaluation before a curative treatment. BMC Cancer. https://doi.org/10.1186/1471-2407-9-296

    Article  PubMed  PubMed Central  Google Scholar 

  35. Cleeland, C. S. (2007). Symptom burden: Multiple symptoms and their impact as patient-reported outcomes. Journal of the National Cancer Institute Monographs, 37, 16–21. https://doi.org/10.1093/jncimonographs/lgm005

    Article  Google Scholar 

  36. Ahern, T. P., Lash, T. L., Thwin, S. S., & Silliman, R. A. (2009). Impact of acquired comorbidities on all-cause mortality rates among older breast cancer survivors. Medical Care, 47(1), 73–79. https://doi.org/10.1097/MLR.0b013e318180913c

    Article  PubMed  PubMed Central  Google Scholar 

  37. Aschele, C., Bergamo, F., & Lonardi, S. (2009). Chemotherapy for operable and advanced colorectal cancer. Cancer treatment review., 35(6), 509–516. https://doi.org/10.1016/j.ctrv.2009.04.003

    Article  CAS  Google Scholar 

  38. Kelly, D. (2006). Delays in the diagnosis of lung cancer occurred because patients failed to recognise symptoms as serious and warranting medical attention. Evidence-based nursing, 9(4), 127.

    Article  PubMed  Google Scholar 

  39. Miller, A. H., Ancoli-Israel, S., Bower, J. E., Capuron, L., & Irwin, M. R. (2008). Neuroendocrine-immune mechanisms of behavioral comorbidities in patients with cancer. Journal of Clinical Oncology, 26(6), 971–982. https://doi.org/10.1200/jco.2007.10.7805

    Article  CAS  PubMed  Google Scholar 

  40. Mukerji, S. S., Duffy, S. A., Fowler, K. E., Khan, M., Ronis, D. L., & Terrell, J. E. (2007). Comorbidities in head and neck cancer: agreement between self-report and chart review. Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery., 136(4), 536–542. https://doi.org/10.1016/j.otohns.2006.10.041

    Article  PubMed  Google Scholar 

  41. Ozanne, E. M., Braithwaite, D., Sepucha, K., Moore, D., Esserman, L., & Belkora, J. (2009). Sensitivity to input variability of the Adjuvant! Online breast cancer prognostic model. Journal of Clinical Oncology, 27(2), 214–219. https://doi.org/10.1200/jco.2008.17.3914

    Article  PubMed  Google Scholar 

  42. Perkins, H. Y., Baum, G. P., Taylor, C. L., & Basen-Engquist, K. M. (2009). Effects of treatment factors, comorbidities and health-related quality of life on self-efficacy for physical activity in cancer survivors. Psycho-Oncology, 18(4), 405–411. https://doi.org/10.1002/pon.1535

    Article  PubMed  PubMed Central  Google Scholar 

  43. Siegelmann-Danieli, N., Khandelwal, V., Wood, G. C., et al. (2006). Breast cancer in elderly women: Outcome as affected by age, tumor features, comorbidities, and treatment approach. Clinical Breast Cancer, 7(1), 59–66. https://doi.org/10.3816/CBC.2006.n.014

    Article  PubMed  Google Scholar 

  44. Hewitt, M., Greenfield, S., & Stovall, E. (2005). From Cancer Patient to Cancer Survivor: Lost in Translation. The National Academies Press.

    Google Scholar 

  45. Rowland, J. H., & Yancik, R. (2006). Cancer survivorship: The interface of aging, comorbidity, and quality care. Journal of the National Cancer Institute, 98(8), 504–505. https://doi.org/10.1093/jnci/djj154

    Article  PubMed  Google Scholar 

  46. Parikh, R. B., Gallo, J. J., Wong, Y. N., et al. (2021). Long-term depression incidence and associated mortality among African American and White prostate cancer survivors. Cancer, 127(18), 3476–3485. https://doi.org/10.1002/cncr.33656

    Article  PubMed  Google Scholar 

  47. Bensken, W. P., Schiltz, N. K., Warner, D. F., et al. (2022). Comparing the association between multiple chronic conditions, multimorbidity, frailty, and survival among older patients with cancer. Journal of Geriatric Oncology, 13(8), 1244–1252. https://doi.org/10.1016/j.jgo.2022.06.011

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Sikorskii, A., Badger, T., Segrin, C., et al. (2023). A sequential multiple assignment randomized trial of symptom management after chemotherapy. Journal of Pain Symptom Management, 65(6), 541-552 e2. https://doi.org/10.1016/j.jpainsymman.2023.02.005

    Article  PubMed  Google Scholar 

  49. Hjerl, K., Andersen, E. W., Keiding, N., Mouridsen, H. T., Mortensen, P. B., & Jorgensen, T. (2003). Depression as a prognostic factor for breast cancer mortality. Psychosomatics, 44(1), 24–30. https://doi.org/10.1176/appi.psy.44.1.24

    Article  PubMed  Google Scholar 

  50. Badger, T. A., Segrin, C., Hepworth, J. T., Pasvogel, A., Weihs, K., & Lopez, A. M. (2013). Telephone-delivered health education and interpersonal counseling improve quality of life for Latinas with breast cancer and their supportive partners. Psycho-Oncology, 22(5), 1035–1042. https://doi.org/10.1002/pon.3101

    Article  PubMed  Google Scholar 

  51. Badger, T. A., Segrin, C., Sikorskii, A., et al. (2020). Randomized controlled trial of supportive care interventions to manage psychological distress and symptoms in Latinas with breast cancer and their informal caregivers. Psychology & Health, 35(1), 87–106. https://doi.org/10.1080/08870446.2019.1626395

    Article  Google Scholar 

  52. Badger, T., Segrin, C., Figueredo, A. J., Harrington, J., Sheppard, K., Passalacqua, S., Pasvogel, A., & Bishop, M. (2012). Who benefits from a psychosocial counseling vs. educational intervention to improve psychological quality of life in prostate cancer surviors. Psychology & Health. https://doi.org/10.1080/08870446.2012.731058

    Article  Google Scholar 

  53. Bayliss, E., Ellis, J., & Steiner, J. (2009). Seniors’ self-reported multimorbidity captured biopsychosocial factors not incorporated into tow other data-based mortlity measures. Journal of Clinical Epidemiology, 62(5), 550–557.

    Article  PubMed  Google Scholar 

  54. Badger, T. A., Segrin, C., & Meek, P. (2011). Development and validation of an instrument to rapidly assess symptoms: The General Symptom Distress Scale. Journal of pain and symptom management, 41(3), 535–548.

    Article  PubMed  Google Scholar 

  55. Given, B., Given, C., Sikorskii, A., et al. (2008). Establishing mild, moderate and severe scores for cancer related symptoms: How consistent and clinically meaningful are interference based severity cut points? Journal of Pain and Symptom Management, 35(2), 126–135.

    Article  PubMed  Google Scholar 

  56. Jeon, S., GC, W., Sikorskii, A., & Given, B. (2009). Do interference-based cut-points differentiate mild, moderate, and severe levels of 16 cancer-related symptoms over time? Journal of Pain and Symptom Managemnt, 37(2), 220–232.

    Article  Google Scholar 

  57. Sikorskii, A., Given, C., You, M., Jeon, S., & Given, B. (2009). Response analysis for multiple symptoms revealed differences between arms of a symptom management trial. Journal of Clinical Epidemiology, 62(7), 716–724.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Radloff, L. S. (1977). The CES-D Scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1(3), 385–401.

    Article  Google Scholar 

  59. Miaskowski, C., Mastick, J., Paul, S., Wallhagen, M., Abrams, G., & Levine, J. D. (2022). Associations among hearing loss, multiple co-occurring symptoms, and quality of life outcomes in cancer survivors. Journal of Cancer Survivorship. https://doi.org/10.1007/s11764-022-01301-0

    Article  PubMed  PubMed Central  Google Scholar 

  60. Badger, T. A., Segrin, C., Crane, T. E., et al. (2023). Social determinants of health and symptom burden during cancer treatment. Nursing Research, 72(2), 103–113. https://doi.org/10.1097/NNR.0000000000000636

    Article  PubMed  Google Scholar 

  61. Schuz, N., Walters, J. A., Cameron-Tucker, H., Scott, J., Wood-Baker, R., & Walters, E. H. (2015). Patient anxiety and depression moderate the effects of increased self-management knowledge on physical activity: A secondary analysis of a randomised controlled trial on health-mentoring in COPD. COPD, 12(5), 502–509. https://doi.org/10.3109/15412555.2014.995289

    Article  PubMed  Google Scholar 

  62. Campbell, G., Hagan, T., Gilbertson-White, S., Houze, M., & Donovan, H. (2016). Cancer and treatment-related symptoms are associated with mobility disability in women with ovarian cancer: A cross-sectional study. Gynecologic Oncology, 143(3), 578–583. https://doi.org/10.1016/j.ygyno.2016.09.013

    Article  PubMed  PubMed Central  Google Scholar 

  63. Iovino, P., De Maria, M., Matarese, M., Vellone, E., Ausili, D., & Riegel, B. (2020). Depression and self-care in older adults with multiple chronic conditions: A multivariate analysis. Journal of Advanced Nursing, 76(7), 1668–1678. https://doi.org/10.1111/jan.14385

    Article  PubMed  Google Scholar 

  64. Ream, E., Hughes, A. E., Cox, A., et al. (2020). Telephone interventions for symptom management in adults with cancer. Cochrane Database System Review. https://doi.org/10.1002/14651858.CD007568.pub2

    Article  Google Scholar 

  65. Deshields, T. L., Potter, P., Olsen, S., & Liu, J. (2014). The persistence of symptom burden: Symptom experience and quality of life of cancer patients across one year. Supportive Care in Cancer, 22(4), 1089–1096. https://doi.org/10.1007/s00520-013-2049-3

    Article  PubMed  Google Scholar 

  66. Cataldo, J. K., Paul, S., Cooper, B., et al. (2013). Differences in the symptom experience of older versus younger oncology outpatients: a cross-sectional study. BMC Cancer. https://doi.org/10.1186/1471-2407-13-6

    Article  PubMed  PubMed Central  Google Scholar 

  67. Hansen, M. B., Ross, L., Petersen, M. A., & Groenvold, M. (2022). Age, cancer site and gender associations with symptoms and problems in specialised palliative care: A large, nationwide, register-based study. BMJ supportive & palliative care, 12(e2), e201–e210. https://doi.org/10.1136/bmjspcare-2019-001880

    Article  Google Scholar 

  68. Fredholm, H., Magnusson, K., Lindström, L. S., et al. (2016). Long-term outcome in young women with breast cancer: A population-based study. Breast Cancer Research and Treatment, 160(1), 131–143. https://doi.org/10.1007/s10549-016-3983-9

    Article  PubMed  PubMed Central  Google Scholar 

  69. Farrar, J. T., Portenoy, R. K., Berlin, J. A., Kinman, J. L., & Strom, B. L. (2000). Defining the clinically important difference in pain outcome measures. Pain, 88(3), 287–294.

    Article  PubMed  Google Scholar 

  70. Miaskowski, C., Dodd, M., West, C., et al. (2007). The use of a responder analysis to identify differences in patient outcomes following a self-care intervention to improve cancer pain management. Pain, 129(1–2), 55–63. https://doi.org/10.1016/j.pain.2006.09.031

    Article  PubMed  PubMed Central  Google Scholar 

  71. Sikorskii, A., Niyogi, P. G., Victorson, D., Tamkus, D., & Wyatt, G. (2020). Symptom response analysis of a randomized controlled trial of reflexology for symptom management among women with advanced breast cancer. Supportive Care in Cancer, 28(3), 1395–1404. https://doi.org/10.1007/s00520-019-04959-y

    Article  PubMed  Google Scholar 

  72. Given, C., Given, B., Rahbar, M., et al. (2004). Effect of a cognitive behavioral intervention on reducing symptom severity during chemotherapy. Journal of Clinical Oncology., 22(3), 507–516.

    Article  PubMed  Google Scholar 

  73. Runowicz, C. D., Leach, C. R., Henry, N. L., et al. (2016). American Cancer Society/American Society of Clinical Oncology Breast Cancer Survivorship Care Guideline. CA Cancer J Clin. Jan-Feb, 66(1), 43–73. https://doi.org/10.3322/caac.21319

    Article  Google Scholar 

  74. Penedo, F. J., Medina, H. N., Moreno, P. I., et al. (2022). Implementation and feasibility of an electronic health record-integrated patient-reported outcomes symptom and needs monitoring pilot in ambulatory oncology. JCO Oncol Pract. https://doi.org/10.1200/OP.21.00706

    Article  PubMed  PubMed Central  Google Scholar 

  75. Basch, E., Barbera, L., Kerrigan, C. L., & Velikova, G. (2018). Implementation of patient-reported outcomes in routine medical care. American Society of Clinical Oncology Educational Book, 38, 122–134. https://doi.org/10.1200/EDBK_200383

    Article  PubMed  Google Scholar 

  76. Tam, S., Zatirka, T., Neslund-Dudas, C., et al. (2023). Real time patient-reported outcome measures in patients with cancer: Early experience within an integrated health system. Cancer medicine. https://doi.org/10.1002/cam4.5635

    Article  PubMed  PubMed Central  Google Scholar 

  77. Corser, W., Sikorskii, A., Olomu, A., Stommel, M., Proden, C., & Holmes-Rovner, M. (2008). Concordance between comorbidity data from patient self-report interviews and medical record documentation. BMC Health Services Research. https://doi.org/10.1186/1472-6963-8-85

    Article  PubMed  PubMed Central  Google Scholar 

  78. Ye, F., Moon, D. H., Carpenter, W. R., et al. (2017). Comparison of patient report and medical records of comorbidities: results from a population-based cohort of patients with prostate cancer. JAMA Oncology, 3(8), 1035–1042. https://doi.org/10.1001/jamaoncol.2016.6744

    Article  PubMed  PubMed Central  Google Scholar 

  79. Bayliss, E. A., Ellis, J. L., & Steiner, J. F. (2009). Seniors’ self-reported multimorbidity captured biopsychosocial factors not incorporated into two other data-based morbidity measures. Journal of Clinical Epidemiology, 62(5), 550–7 e1. https://doi.org/10.1016/j.jclinepi.2008.05.002

    Article  PubMed  Google Scholar 

  80. Hall, E. T. S. S., Dickerson, J., Gaster, B., Wong, H., Aslaskson, R. A., & Schapira, L. (2019). Patient reported outcomes for cancer patients receiving immunotherapy: opportunies for palliative care- A systematic review. Jouranl of Pain and Symptom Management. https://doi.org/10.1200/JCO.2017.77.6385

    Article  Google Scholar 

  81. Brahmer, J. R. L. C., Schneider, B. J., Atkins, M. B., Brassil, K. J., Caterino, J. M., Cau, I., Ernstoof, M. S., Gardner, J. M., Ginex, P., & Hallmeyer, S. (2018). Treated with immune checkpoint inhibior thearapy: American society of clinical oncology practice guideline. Journal of Clinical Oncology, 36(17), 1714–1768. https://doi.org/10.12000/JCO.2017.77.6385

    Article  CAS  PubMed  Google Scholar 

Download references

Funding

This study was supported by a supplement to an R01 grant from the National Institutes of Health, Post-chemotherapy Symptom Management: Testing Intervention Sequences in a SMART Design (R01 CA225615-01). MPIs: T. Badger/A. Sikorskii. Data were collected using the Behavioral Intervention and Measurement Shared Resource at the University of Arizona Cancer Center (P30 CA023074).

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization: AS, TB, CS, TC, and CG. Data curation: AS, TB, CS, TC, PC, and WA. Formal Analysis: AS and NC. Methodology: AS, TB, CS, TC, and CG. Supervision: TB, CS, and AS. Writing of the original draft: AS, TB, and CS. Writing, reviewing, & editing of the manuscript: all authors. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Alla Sikorskii.

Ethics declarations

Competing interests

The authors have no relevant financial or non-financial interests to disclose.

Data availability

We will share the data upon request made to first author (Alla Sikorskii) based on the principles that NIH has articulated regarding sharing of study results and resources. Data from this study will be available to other researchers and key stakeholders under the following conditions: 1) appropriate human subjects protection is in place; 2) data have been de-identified; and 3) study investigators have publicly presented and published key findings.

Code availability

SAS code used to produce the results is available upon request made to the first author (Alla Sikorskii).

Ethical approval

This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the Institutional Review Board of the University of Arizona, protocol number Protocol 1711069340.

Consent to participate

Informed consent was obtained from all participants of the study.

Consent for publication

The manuscript does not contain any individual personal data. All data are presented on aggregate so that no individual can be identified.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sikorskii, A., Badger, T., Segrin, C. et al. Predictors of persistence of post-chemotherapy symptoms among survivors of solid tumor cancers. Qual Life Res 33, 1143–1155 (2024). https://doi.org/10.1007/s11136-023-03595-8

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11136-023-03595-8

Keywords

Navigation