Submitted:
15 October 2024
Posted:
16 October 2024
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Abstract
Keywords:
Introduction
Methods
| Category | Code | Description |
| Breast Cancer (ICD-10) | Z85.3 | Personal history of malignant neoplasm of the breast |
| Fall-Related Injuries (ICD-10) | W00-W19 | Slipping, tripping, stumbling, and falls |
| W01 | Fall on same level from slipping, tripping, and stumbling | |
| W06 | Fall from bed | |
| W07 | Fall from chair | |
| W08 | Fall from other furniture | |
| W18 | Other fall on same level | |
| W06 | Fall from bed |
| Drug | CPT Code | Description |
|---|---|---|
| Doxorubicin (Adriamycin) | J9000 | Doxorubicin hydrochloride, 10 mg |
| Cyclophosphamide (Cytoxan) | J9070 | Cyclophosphamide, 100 mg |
| Paclitaxel (Taxol) | J9265 | Paclitaxel, 30 mg |
| Docetaxel (Taxotere) | J9171 | Docetaxel, 1 mg |
| Carboplatin | J9045 | Carboplatin, 50 mg |
- Univariate analyses were performed using Chi-square tests for categorical variables and T-tests for continuous variables. Logistic regression analyses were conducted to assess associations between chemotherapy types, race, and the likelihood of fall-related injuries.
Results
| Chemotherapy | White Patients (N=1,794) | Black Patients (N=1,426) | Total Patients (N=3,220) |
|---|---|---|---|
| Docetaxel (Taxotere) | 341 (19.0%) | 237 (16.6%) | 578 (17.9%) |
| Carboplatin | 289 (16.1%) | 237 (16.6%) | 526 (16.3%) |
| Doxorubicin | 289 (16.1%) | 254 (17.8%) | 543 (16.9%) |
| Cyclophosphamide | 447 (24.9%) | 359 (25.2%) | 806 (25.0%) |
| Paclitaxel (Taxol) | 429 (23.9%) | 341 (23.9%) | 770 (23.9%) |
| Total | 1,794 (55.7%) | 1,426 (44.3%) | 3,220 (100%) |

Discussion
Strengths
Limitations
Conclusions
- Statements and Declarations
- Funding Statement: We extend our gratitude to the informatics team at Virginia Commonwealth University's (VCU) C. Kenneth and Dianne Wright Center for Clinical and Translational Research, especially Dr. Tamas Gal and his team members, Evan French and Patrick Shi, for their invaluable support in data extraction through TriNetX platform. This work was supported by the Wright Center under the Clinical and Translational Science Award (CTSA) Grant number UM1TR004360.
- Competing Interests: Patient Consent Statement: Patient consent was not required for this retrospective study using de-identified data.
- Conflicts of Interest. Each author has completed and submitted the Conflict-of-Interest Disclosure Form and has declared that:• Financial conflicts: None of the authors have financial relationships with any entities that have an interest in the information in the submitted work. There are no affiliations, memberships, funding, or financial holdings that might be perceived as affecting the objectivity of this publication.• Personal conflicts: There are no personal relationships or direct engagements that could influence or appear to influence the submitted work.
Author Contributions
- Ethics Approval Statement: Ethical approval for this study was obtained from the Institutional Review Board (IRB) at Virginia Commonwealth University, classified as a non-human subject submission to ensure adherence to ethical guidelines and patient confidentiality. Access to the TriNetX database was secured through the observational informatics program at Virginia Commonwealth University’s, C. Kenneth and Dianne Wright Center for Clinical and Translational Research, following strict data governance protocols to protect patient privacy and comply with regulatory standards.
Data Availability Statement
References
- Wilson, J.; Sule, A.A. Disparity in Early Detection of Breast Cancer. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024 [cited 2024 Aug 27]. Available from: http://www.ncbi.nlm.nih. 5643. [Google Scholar]
- Guo, F. ; Kuo Y fang, Shih YCT, Giordano, S. H.; Berenson, A.B. Trends in breast cancer mortality by stage at diagnosis among US young women. Cancer. 2018, 124, 3500–3509. [Google Scholar] [CrossRef]
- Bodai, B.I.; Tuso, P. Breast Cancer Survivorship: A Comprehensive Review of Long-Term Medical Issues and Lifestyle Recommendations. Perm, J. 2015, 19, 48–79. [Google Scholar] [CrossRef] [PubMed]
- R. K, L. S, P. B, S. G, R. LP. Psychosocial experiences of breast cancer survivors: a meta-review. J Cancer Surviv. 2024, 18, 84–123. [CrossRef]
- Katta, B.; Vijayakumar, C.; Dutta, S.; Dubashi, B.; Nelamangala Ramakrishnaiah, V.P. The Incidence and Severity of Patient-Reported Side Effects of Chemotherapy in Routine Clinical Care: A Prospective Observational Study. Cureus. 15, e38301. [CrossRef]
- Hormone Therapy for Breast Cancer Fact Sheet - NCI [Internet]. 2022 [cited 2024 Aug 27]. Available from: https://www.cancer.
- Bekes, I.; Huober, J. Extended Adjuvant Endocrine Therapy in Early Breast Cancer Patients—Review and Perspectives. Cancers. 2023, 15, 4190. [Google Scholar] [CrossRef] [PubMed]
- Advances in medical treatment of breast cancer in 2022 - Zhai - 2023 - Cancer Innovation - Wiley Online Library [Internet]. [cited 2024 Aug 27]. Available from: https://onlinelibrary.wiley.com/doi/10.1002/cai2.
- Amjad, M.T.; Chidharla, A.; Kasi, A. Cancer Chemotherapy. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024 [cited 2024 Aug 27]. Available from: http://www.ncbi.nlm.nih. 5643. [Google Scholar]
- Regan, J.N.; Mikesell, C.; Reiken, S.; Xu, H.; Marks, A.R.; Mohammad, K.S.; et al. Osteolytic Breast Cancer Causes Skeletal Muscle Weakness in an Immunocompetent Syngeneic Mouse Model. Front Endocrinol. 2017, 8, 358. [Google Scholar] [CrossRef] [PubMed]
- Tofthagen, C.; Overcash, J.; Kip, K. Falls in Persons with Chemotherapy Induced Peripheral Neuropathy. Support Care Cancer Off J Multinatl Assoc Support Care Cancer. 2012, 20, 583–589. [Google Scholar] [CrossRef] [PubMed]
- Yedjou, C.G.; Sims, J.N.; Miele, L.; Noubissi, F.; Lowe, L.; Fonseca, D.D.; et al. Health and Racial Disparity in Breast Cancer. Adv Exp Med Biol. 2019, 1152, 31–49. [Google Scholar] [CrossRef] [PubMed]
- Zeno, E.E.; Brewer, N.T.; Spees, L.P.; Des Marais, A.C.; Sanusi, B.O.; Hudgens, M.G.; et al. Racial and ethnic differences in cervical cancer screening barriers and intentions: The My Body My Test-3 HPV self-collection trial among under-screened, low-income women. PloS One. 2022, 17, e0274974. [Google Scholar] [CrossRef] [PubMed]
- Tong, M.; Hill, L.; Published, S.A. Racial Disparities in Cancer Outcomes, Screening, and Treatment [Internet]. KFF. 2022 [cited 2024 Aug 27]. Available from: https://www.kff.
- Chinn, J.J.; Martin, I.K.; Redmond, N. Health Equity Among Black Women in the United States. J Womens Health. 2021, 30, 212–219. [Google Scholar] [CrossRef] [PubMed]
- Tibi, S.; Tieu, V.; Babayigit, S.; Ling, J. Influence of Health Insurance Types on Clinical Cancer Care Accessibility and Quality Using All of Us Database. Medicina (Mex). 2024, 60, 623. [Google Scholar] [CrossRef] [PubMed]
- Zhao, J.; Wang, G.; Chen, L.; Yu, S.; Li, W. Risk factors for falls in hospitalized patients with cancer: A systematic review and meta-analysis. Asia-Pac J Oncol Nurs. 2022 Jun 29;9, 100107. [CrossRef]
- TriNetX. TriNetX [Internet]. 2013 [cited 2024 Jul 18]. Available from: https://live.trinetx. 2028.
- World Health Organization. international statistical classification of diseases and related health problems : tenth revision, 2nd ed. World Health Organization. 2004. ICD-10 : international statistical classification of diseases and related health problems : tenth revision, 2nd ed. Available from: https://iris.who. 1066.
- Yamamoto, S.; Fujikawa, N.; Asano, K.; Toki, M.; Takao, A.; Arao, H. Assessment of Fall-Related Self-Efficacy: Characteristics that Influence the Perception of Patients with Chemotherapy-Induced Peripheral Neuropathy. Asia-Pac J Oncol Nurs. 2020, 7, 190–195. [Google Scholar] [CrossRef] [PubMed]
- Esnaola, N.F.; Ford, M.E. Racial Differences and Disparities in Cancer Care and Outcomes: Where’s the Rub? Surg Oncol Clin N Am. 2012, 21, 417–viii. [Google Scholar] [CrossRef] [PubMed]
- Pathak, S.; Zajac, K.K.; Annaji, M.; Govindarajulu, M.; Nadar, R.M.; Bowen, D.; et al. Clinical outcomes of chemotherapy in cancer patients with different ethnicities. Cancer Rep. 2023, 6 (Suppl 1), e1830. [Google Scholar] [CrossRef] [PubMed]
- Younis, T.; Rayson, D.; Skedgel, C. The cost–utility of adjuvant chemotherapy using docetaxel and cyclophosphamide compared with doxorubicin and cyclophosphamide in breast cancer. Curr Oncol. 2011, 18, e288–96. [Google Scholar] [CrossRef] [PubMed]
- Smith, G.L.; Lopez-Olivo, M.A.; Advani, P.G.; Ning, M.S.; Geng, Y.; Giordano, S.H.; et al. Financial Burdens of Cancer Treatment: A Systematic Review of Risk Factors and Outcomes. J Natl Compr Cancer Netw JNCCN. 2019, 17, 1184–1192. [Google Scholar] [CrossRef] [PubMed]
- Giordano, S.H.; Niu, J.; Chavez-MacGregor, M.; Zhao, H.; Zorzi, D. ; Shih YCT, et al. Estimating regimen-specific costs of chemotherapy for breast cancer: Observational cohort study. Cancer. 2016, 122, 3447–3455. [Google Scholar] [CrossRef] [PubMed]
- Hart, J.; Salman, H.; Bergman, M.; Neuman, V.; Rudniki, C.; Gilenberg, D.; et al. Do drug costs affect physicians’ prescription decisions? J Intern Med. 1997, 241, 415–420. [Google Scholar] [CrossRef] [PubMed]
- McKinley, A.; Park, E.; Spetie, D.; Hackshaw, K.V.; Nagaraja, S.; Hebert, L.A.; et al. Oral Cyclophosphamide for Lupus Glomerulonephritis: An Underused Therapeutic Option. Clin J Am Soc Nephrol CJASN. 2009, 4, 1754–1760. [Google Scholar] [CrossRef] [PubMed]
- The influence of race on financial toxicity among cancer patients. | Journal of Clinical Oncology [Internet]. [cited 2024 Sep 20]. Available from: https://ascopubs.org/doi/10.1200/JCO.2021.39.15_suppl. 1525.
| Chemotherapy Types | Total N | White | Black or African American |
|---|---|---|---|
| Doxorubicin | 60 | 30 (50%) | 30 (50%) |
| Cyclophosphamide | 90 | 40 (44.44%) | 50 (55.55%) |
| Paclitaxel (Taxol) | 100 | 50 (50%) | 50 (50%) |
| Docetaxel (Taxotere) | 70 | 30 (42.85%) | 40 (57.14%) |
| Carboplatin | 70 | 30 (42.85%) | 40 (57.14%) |
| Chemotherapy | Race | N | % (Risk) | Odds Ratio (OR) | 95% Confidence Interval (CI) | p-value |
|---|---|---|---|---|---|---|
| Overall Risk | White | 180 | 10.0% | Reference | - | - |
| Black or African American | 210 | 14.7% | 0.65 | (0.52 - 0.80) | 0.000056 | |
| Doxorubicin | White | 30 | 10.4% | Reference | - | - |
| Black or African American | 30 | 11.8% | 0.86 | (0.50 - 1.47) | 0.681 | |
| Paclitaxel (Taxol) | White | 50 | 11.7% | Reference | - | - |
| Black or African American | 50 | 14.7% | 0.77 | (0.51 - 1.17) | 0.236 | |
| Cyclophosphamide | White | 40 | 8.9% | Reference | - | - |
| Black or African American | 50 | 13.9% | 0.61 | (0.39 - 0.95) | 0.032 | |
| Docetaxel (Taxotere) | White | 30 | 8.8% | Reference | - | - |
| Black or African American | 40 | 16.9% | 0.48 | (0.29 - 0.79) | 0.004 | |
| Carboplatin | White | 30 | 10.4% | Reference | - | - |
| Black or African American | 40 | 16.9% | 0.57 | (0.34 - 0.95) | 0.038 |
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