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Sociodemographic factors associated with Wilms tumor treatment and survival: a population-based study

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Abstract

Introduction

Though Wilms tumor (WT) is one of the most common malignancies in children, there is a paucity of epidemiologic studies exploring sociodemographic disparities in treatment and survival. Here, we leveraged a national cancer registry to examine sociodemographic factors associated with receipt of adjuvant therapy, either chemotherapy or radiation, as well as overall survival among pediatric patients with WT.

Materials and methods

Within the Surveillance Epidemiology and End Results database (2000–2016), we identified 2043 patients (≤ 20 years of age) with unilateral WT. Multivariable logistic regression and Cox proportional hazard models were constructed to examine the association of sociodemographic factors with, respectively, adjuvant chemotherapy/radiotherapy and overall survival (OS).

Results

Patients in the lowest SES quintile (OR 0.56, 95% CI 0.33–0.93, p = 0.03) were less likely to receive chemotherapy as compared to those in the highest SES quintile, though this association did not persist in sensitivity analyses including only patients at least 2 years of age and patients with regional/distant disease. In addition, female patients were more likely to receive chemotherapy (OR 1.46, 95% CI 1.08–1.97, p = 0.02) than male patients. Age, race, year of diagnosis, insurance status, and tumor laterality were not associated with receipt of chemotherapy. No sociodemographic variables were associated with receipt of radiotherapy. Lastly, as compared to Non-Hispanic-White patients, Hispanic patients had worse OS (HR 1.59, 95% CI 1.08–2.35, p = 0.02); no other sociodemographic variables were associated with OS.

Conclusions

This study suggests multilevel sociodemographic disparities involving ethnicity and SES in WT treatment and survival.

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Availability of data and materials

Publicly available dataset.

Code availability

Available on reasonable request to the authors.

References

  1. Siegel RL, Miller KD, Jemal A (2020) Cancer statistics, 2020. CA Cancer J Clin 70(1):7–30

    Article  PubMed  Google Scholar 

  2. Breslow N, Olshan A, Beckwith JB, Green DM (1993) Epidemiology of Wilms tumor. Med Pediatr Oncol 21(3):172–181

    Article  CAS  PubMed  Google Scholar 

  3. Dumoucel S, Gauthier-Villars M, Stoppa-Lyonnet D et al (2014) Malformations, genetic abnormalities, and Wilms tumor. Pediatr Blood Cancer 61(1):140–144

    Article  CAS  PubMed  Google Scholar 

  4. Howlader N, Noone AM, Krapcho M, Garshell J, Miller D, Altekruse SF, Kosary CL, Yu M, Ruhl J, Tatalovich Z, Mariotto A, Lewis DR, Chen HS, Feuer EJ, Cronin KA (eds). SEER Cancer Statistics Review, 1975–2012, National Cancer Institute. Bethesda, MD, based on November 2014 SEER data submission, posted to the SEER web site, April 2015. Available at: http://seer.cancer.gov/csr/1975_2012/results_merged/sect_29_childhood_cancer_iccc.pdf

  5. Dome JS, Graf N, Geller JI et al (2015) Advances in Wilms tumor treatment and biology: progress through international collaboration. J Clin Oncol 33(27):2999–3007

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Balis F, Green DM, Anderson C et al (2021) Wilms tumor (Nephroblastoma), Version 2. 2021, NCCN clinical practice guidelines in oncology. J Natl Compr Canc Netw 19(8):945–977

    Article  CAS  PubMed  Google Scholar 

  7. Grovas A, Fremgen A, Rauck A et al (1997) The national cancer data base report on patterns of childhood cancers in the united states. Cancer 80(12):2321–2332

    Article  CAS  PubMed  Google Scholar 

  8. Goodman MT, Yoshizawa CN, Kolonel LN (1989) Ethnic patterns of childhood cancer in Hawaii between 1960 and 1984. Cancer 64(8):1758–1763

    Article  CAS  PubMed  Google Scholar 

  9. Stiller CA, Parkin DM (1996) Geographic and ethnic variations in the incidence of childhood cancer. Br Med Bull 52(4):682–703

    Article  CAS  PubMed  Google Scholar 

  10. Cunningham ME, Klug TD, Nuchtern JG et al (2020) Global disparities in Wilms tumor. J Surg Res 247:34–51

    Article  PubMed  Google Scholar 

  11. Surveillance Epidemiology and End Results Program (www.seer.cancer.gov). Database: Census Tract-level SES and Rurality Database (2000–2015).

  12. Yost K, Perkins C, Cohen R, Morris C, Wright W (2001) Socioeconomic status and breast cancer incidence in California for different race/ethnic groups. Cancer Causes Control 12(8):703–711

    Article  CAS  PubMed  Google Scholar 

  13. Parker RA, Weir CJ (2020) Non-adjustment for multiple testing in multi-arm trials of distinct treatments: Rationale and justification. Clin Trials 17(5):562–566. https://doi.org/10.1177/1740774520941419

    Article  PubMed  PubMed Central  Google Scholar 

  14. Bhambhvani HP, Greenberg DR, Kasman AM et al (2021) Racial and socioeconomic disparities in retroperitoneal lymph node dissection and survival in nonseminomatous germ cell tumor: a population-based study. Urol Oncol 39(3):197.e1-197.e8

    Article  Google Scholar 

  15. Washington SL, Neuhaus J, Meng MV, Porten SP (2019) Social determinants of appropriate treatment for muscle-invasive bladder cancer. Cancer Epidemiol Biomarkers Prev 28(8):1339–1344

    Article  PubMed  PubMed Central  Google Scholar 

  16. Jackson CS, Oman M, Patel AM, Vega KJ (2016) Health disparities in colorectal cancer among racial and ethnic minorities in the United States. J Gastrointest Oncol 7(Suppl 1):S32-43

    PubMed  PubMed Central  Google Scholar 

  17. Rodrigues A, Li G, Bhambhvani H, Hayden-Gephart M (2021) Socioeconomic disparities in brain metastasis survival and treatment: a population-based study. World Neurosurg 2:2

    Google Scholar 

  18. Bhambhvani HP, Rodrigues AJ, Medress ZA, Hayden GM (2020) Racial and socioeconomic correlates of treatment and survival among patients with meningioma: a population-based study. J Neurooncol 147(2):495–501

    Article  PubMed  Google Scholar 

  19. Chertack N, Ghandour RA, Singla N et al (2020) Overcoming sociodemographic factors in the care of patients with testicular cancer at a safety net hospital. Cancer 126(19):4362–4370

    Article  PubMed  Google Scholar 

  20. Malik AT, Alexander J, Khan SN, Scharschmidt TJ (2021) Has the affordable care act been associated with increased insurance coverage and early-stage diagnoses of bone and soft-tissue sarcomas in adults? Clin Orthop Relat Res 479(3):493–502

    Article  PubMed  Google Scholar 

  21. Hoehn RS, Rieser CJ, Phelos H et al (2021) Association between Medicaid expansion and diagnosis and management of colon cancer. J Am Coll Surg 232(2):146-156.e1

    Article  PubMed  Google Scholar 

  22. Traylor AH, Schmittdiel JA, Uratsu CS, Mangione CM, Subramanian U (2010) Adherence to cardiovascular disease medications: does patient-provider race/ethnicity and language concordance matter? J Gen Intern Med 25(11):1172–1177

    Article  PubMed  PubMed Central  Google Scholar 

  23. Milam JE, Meeske K, Slaughter RI et al (2015) Cancer-related follow-up care among Hispanic and non-Hispanic childhood cancer survivors: the project forward study. Cancer 121(4):605–613. https://doi.org/10.1002/cncr.29105

    Article  PubMed  Google Scholar 

  24. Yu M, Tatalovich Z, Gibson JT, Cronin KA (2014) Using a composite index of socioeconomic status to investigate health disparities while protecting the confidentiality of cancer registry data. Cancer Causes Control 25(1):81–92

    Article  PubMed  Google Scholar 

  25. Daley S, Kajendrakumar B, Nandhakumar S et al (2021) County-level socioeconomic status adjustment of acute myocardial infarction mortality hospital performance measure in the u. S Healthcare (Basel) 9(11):1424

    Google Scholar 

  26. Volpi C, Shehadeh F, Mylonakis E (2020) The role of county-level socioeconomic status on brand-name prescriptions in Medicare part D: A cross-sectional Study. Medicine (Baltimore) 99(9):e19271

    Article  Google Scholar 

  27. Boscoe FP, Liu B, Lee F (2021) A comparison of two neighborhood-level socioeconomic indexes in the United States. Spat Spatiotemporal Epidemiol 37:100412

    Article  PubMed  Google Scholar 

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Correspondence to Hriday P. Bhambhvani.

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Bhambhvani, H.P., Peterson, D.J. & Sheth, K.R. Sociodemographic factors associated with Wilms tumor treatment and survival: a population-based study. Int Urol Nephrol 54, 3055–3062 (2022). https://doi.org/10.1007/s11255-022-03343-w

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  • DOI: https://doi.org/10.1007/s11255-022-03343-w

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