nach oben

Journal of Neuro-Oncology

Erschienen in:

05.08.2019 | Clinical Study

The impact of rural residence on adult brain cancer survival in the United States

verfasst von: Arash Delavar, Omar M. Al Jammal, Kathleen R. Maguire, Arvin R. Wali, Martin H. Pham

Erschienen in: Journal of Neuro-Oncology | Ausgabe 3/2019

Einloggen, um Zugang zu erhalten

Abstract

Purpose

Rural/urban disparities in brain cancer survival have been reported. However, disparities by cancer type or in the United States as a whole remain poorly understood. Using the Surveillance, Epidemiology, and End Results (SEER) 18 registries database, we examined brain cancer survival by rural/urban residence defined by Rural–Urban Continuum Codes (RUCCs).

Methods

We obtained data from SEER 18 registries for individuals aged 20 years and older with a first primary malignant brain cancer from 2001 to 2011. Rural/urban residence at diagnosis was defined using both metropolitan/non-metropolitan county classifications and individual RUCC categories. We used Cox proportional hazards regression to compute adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between rural/urban residence and brain cancer survival.

Results

Among 37,581 cancer cases, 77.9% were non-Hispanic White, 56.5% were male, and 88.7% lived in a metropolitan county. Brain cancer patients living in the most rural counties had a significant increased risk of cancer death compared to those living in the most urban counties (HR 1.15; 95% CI 1.01–1.31). Those living in non-metropolitan counties had a similar risk of cancer death compared to those living in metropolitan counties (HR 1.01; 95% CI 0.97–1.06). Effect modification was observed overall by cancer type, with non-specified oligodendroglioma (HR 1.35; 95% CI 1.01–1.81) showing the greatest effect.

Conclusion

After adjusting for confounding factors, our results suggest that rural residence has a modest effect on brain cancer survival, and that this disparity may vary by cancer type. Future research should explore differences in treatment strategies between rural and urban brain cancer patients.

Nur mit Berechtigung zugänglich

Siegel RL, Miller KD, Jemal A (2019) Cancer statistics. CA Cancer J Clin 69(1):7–34. https://doi.org/10.3322/caac.21551 CrossRefPubMed

Ostrom QT, Gittleman H, Truitt G, Boscia A, Kruchko C, Barnholtz-Sloan JS (2018) CBTRUS statistical report: primary brain and other central nervous system tumors diagnosed in the United States in 2011–2015. Neuro Oncol 20(suppl_4):iv1–iv86CrossRef

Curry WT Jr, Barker FG 2nd (2009) Racial, ethnic and socioeconomic disparities in the treatment of brain tumors. J Neurooncol 93(1):25–39. https://doi.org/10.1007/s11060-009-9840-5 CrossRef

Deorah S, Lynch CF, Sibenaller ZA, Ryken TC (2006) Trends in brain cancer incidence and survival in the United States: surveillance, epidemiology, and end results program, 1973 to 2001. Neurosurg Focus 20(4):E1. https://doi.org/10.3171/foc.2006.20.4.E1 CrossRef

Cossman JS, James WL, Cosby AG, Cossman RE (2010) Underlying causes of the emerging nonmetropolitan mortality penalty. Am J Public Health 100(8):1417–1419. https://doi.org/10.2105/AJPH.2009.174185 CrossRefPubMedPubMedCentral

Singh GK, Siahpush M (2014) Widening rural-urban disparities in life expectancy, U.S., 1969–2009. Am J Prev Med 46(2):e19–e29CrossRef

Hartley D (2004) Rural health disparities, population health, and rural culture. Am J Public Health 94(10):1675–1678CrossRef

Lopez Ramos C, Brandel MG, Steinberg JA, Wali AR, Rennert RC, Santiago-Dieppa DR, Sarkar RR, Pannell JS, Murphy JD, Khalessi AA (2019) The impact of traveling distance and hospital volume on post-surgical outcomes for patients with glioblastoma. J Neurooncol 141(1):159–166. https://doi.org/10.1007/s11060-018-03022-w CrossRefPubMed

Ostrom QT, Gittleman H, Kruchko C, Barnholtz-Sloan JS (2019) Primary brain and other central nervous system tumors in Appalachia: regional differences in incidence, mortality, and survival. J Neurooncol 142(1):27–38. https://doi.org/10.1007/s11060-018-03073-z CrossRefPubMed

10.

Surveillance E and End Results (SEER) Program (www.seer.cancer.gov) SEER*Stat Database: incidence—SEER 18 Regs Custom Data (with additional treatment fields), Nov 2018 Sub (1975–2016 varying)—Linked To County Attributes—total U.S., 1969–2017 Counties, National Cancer Institute, DCCPS, Surveillance Research Program, released April 2019, based on the November 2018 submission

11.

United States Department of Agriculture Economic Research Service (2016) Rural-Urban Continuum Codes. https://www.ers.usda.gov/data-products/rural-urban-continuum-codes/. Accessed 6 Jun 2018

12.

Surveillance Epidemiology and End Results (2014) Rural-Urban Continuum Codes. https://seer.cancer.gov/seerstat/variables/countyattribs/ruralurban.html. Accessed 6 Jun 2018

13.

Adamo M, Dickie L, Ruhl J (2016) SEER Program Coding and Staging Manual 2016 National Cancer Institute, Bethesda, pp 20850–9765

14.

Surveillance Epidemiology and End Results Site Recode ICD-O-3/WHO 2008 Definition. https://seer.cancer.gov/siterecode/icdo3_dwhoheme/. Accessed 29 Apr 2019

15.

Textor J, van der Zander B, Gilthorpe MS, Liskiewicz M, Ellison GT (2016) Robust causal inference using directed acyclic graphs: the R package 'dagitty'. Int J Epidemiol 45(6):1887–1894PubMed

16.

Pearl J (2003) Causality: models, reasoning, and inference. Economet Theor 19(4):675–685. https://doi.org/10.1017/S026646603004109 CrossRef

17.

Eberhardt MS, Pamuk ER (2004) The importance of place of residence: examining health in rural and nonrural areas. Am J Public Health 94(10):1682–1686. https://doi.org/10.2105/ajph.94.10.1682 CrossRefPubMedPubMedCentral

18.

Byers TE, Wolf HJ, Bauer KR, Bolick-Aldrich S, Chen VW, Finch JL, Fulton JP, Schymura MJ, Shen T, Van Heest S, Yin X (2008) The impact of socioeconomic status on survival after cancer in the United States: findings from the National Program of Cancer Registries Patterns of Care Study. Cancer 113(3):582–591. https://doi.org/10.1002/cncr.23567 CrossRefPubMed

19.

Bellera CA, MacGrogan G, Debled M, de Lara CT, Brouste V, Mathoulin-Pelissier S (2010) Variables with time-varying effects and the Cox model: some statistical concepts illustrated with a prognostic factor study in breast cancer. BMC Med Res Methodol 10:20. https://doi.org/10.1186/1471-2288-10-20 CrossRefPubMedPubMedCentral

20.

R Core Team (2016) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. https://www.R-project.org/. Accessed 29 Apr 2019

21.

United States Department of Agriculture Economic Research Service (2019) Rural-Urban Continuum Codes Documentation. https://www.ers.usda.gov/data-products/rural-urban-continuum-codes/documentation.aspx. Accessed 30 June 2019

22.

Chen W, Zheng R, Zuo T, Zeng H, Zhang S, He J (2012) National cancer incidence and mortality in China. Chin J Cancer Res 28(1):1–11. https://doi.org/10.3978/j.issn.1000-9604.2016.02.08 CrossRef

23.

Li X, Deng Y, Tang W, Sun Q, Chen Y, Yang C, Yan B, Wang Y, Wang J, Wang S, Yang F, Ding Y, Zhao G, Cao G (2018) Urban-rural disparity in cancer incidence, mortality, and survivals in Shanghai, China, during 2002 and 2015. Front Oncol 8:579. https://doi.org/10.3389/fonc.2018.00579 CrossRefPubMedPubMedCentral

24.

Choi K-M (2016) Investigation of cancer mortality inequalities between rural and urban areas in South Korea. Aust J Rural Health 24(1):61–66CrossRef

25.

Miranda Filho AL, Koifman RJ, Koifman S, Monteiro GT (2014) Brain cancer mortality in an agricultural and a metropolitan region of Rio de Janeiro, Brazil: a population-based, age-period-cohort study, 1996–2010. BMC Cancer 14:320. https://doi.org/10.1186/1471-2407-14-320 CrossRefPubMedPubMedCentral

26.

Leon DA (2008) Cities, urbanization and health. Int J Epidemiol 37(1):4–8. https://doi.org/10.1093/ije/dym271 CrossRefPubMed

27.

Dikshit R, Gupta PC, Ramasundarahettige C, Gajalakshmi V, Aleksandrowicz L, Badwe R, Kumar R, Roy S, Suraweera W, Bray F, Mallath M, Singh PK, Sinha DN, Shet AS, Gelband H, Jha P, Million Death Study C (2012) Cancer mortality in India: a nationally representative survey. Lancet 379(9828):1807–1816. https://doi.org/10.1016/S0140-6736(12)60358-4 CrossRef

28.

McCullough LE, Flowers CR (2018) Identifying and addressing disparities in survival outcomes for rural patients with cancer. JAMA Netw Open 1(4):e181243. https://doi.org/10.1001/jamanetworkopen.2018.1243 CrossRefPubMed

29.

Charlton M, Schlichting J, Chioreso C, Ward M, Vikas P (2015) Challenges of rural cancer care in the United States. Oncology (Williston Park) 29(9):633–640

30.

Nelson RE, Hicken B, West A, Rupper R (2012) The effect of increased travel reimbursement rates on health care utilization in the VA. J Rural Health 28(2):192–201. https://doi.org/10.1111/j.1748-0361.2011.00387.x CrossRefPubMed

31.

Villapiano N, Iwashyna TJ, Davis MM (2017) Worsening rural-urban gap in hospital mortality. J Am Board Fam Med 30(6):816–823. https://doi.org/10.3122/jabfm.2017.06.170137 CrossRefPubMed

32.

Spencer JC, Wheeler SB, Rotter JS, Holmes GM (2018) Decomposing mortality disparities in urban and rural U.S. counties. Health Serv Res 53(6):4310–4331. https://doi.org/10.1111/1475-6773.12982 CrossRefPubMed

33.

Kaufman BG, Thomas SR, Randolph RK, Perry JR, Thompson KW, Holmes GM, Pink GH (2016) The rising rate of rural hospital closures. J Rural Health 32(1):35–43. https://doi.org/10.1111/jrh.12128 CrossRefPubMed

34.

Engelhard HH, Stelea A, Mundt A (2003) Oligodendroglioma and anaplastic oligodendroglioma: clinical features, treatment, and prognosis. Surg Neurol 60(5):443–456CrossRef

35.

Tehranifar P, Neugut AI, Phelan JC, Link BG, Liao Y, Desai M, Terry MB (2009) Medical advances and racial/ethnic disparities in cancer survival. Cancer Epidemiol Biomark Prev 18(10):2701–2708. https://doi.org/10.1158/1055-9965.EPI-09-0305 CrossRef

36.

Phelan JC, Link BG (2005) Controlling disease and creating disparities: a fundamental cause perspective. J Gerontol B 60(Spec No 2):27–33.CrossRef

37.

Colton MD, Hawkins M, Goulding D, Cockburn M, Green AL (2018) Socioeconomics, race, and ethnicity in childhood cancer survival: accessing and addressing root causes of disparities. Cancer 124(20):3975–3978. https://doi.org/10.1002/cncr.31558 CrossRefPubMed

Titel: The impact of rural residence on adult brain cancer survival in the United States
verfasst von: Arash Delavar
Omar M. Al Jammal
Kathleen R. Maguire
Arvin R. Wali
Martin H. Pham
Publikationsdatum: 05.08.2019
Verlag: Springer US
Erschienen in: Journal of Neuro-Oncology / Ausgabe 3/2019
Print ISSN: 0167-594X
Elektronische ISSN: 1573-7373
DOI: https://doi.org/10.1007/s11060-019-03254-4

Leitlinien kompakt für die Neurologie

Mit medbee Pocketcards sicher entscheiden.

^{Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag}

Kostenlos registrieren

Neu im Fachgebiet Neurologie

23.04.2024 | Demenz | Nachrichten

Update Neurologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Springer Medizin

The impact of rural residence on adult brain cancer survival in the United States

Abstract

Purpose

Methods

Results

Conclusion

Leitlinien kompakt für die Neurologie

Neu im Fachgebiet Neurologie

Demenzkranke durch Antipsychotika vielfach gefährdet

Parkinson-Therapie im Wandel – aktuelle Leitlinie im Fokus

Auf diese Krankheiten bei Geflüchteten sollten Sie vorbereitet sein

Hustenstiller lindert Agitation bei Alzheimer

Update Neurologie

Springer Medizin

Abstract

Purpose

Methods

Results

Conclusion

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 3/2019

Long-term visual acuity outcomes after radiation therapy for sporadic optic pathway glioma

Tumor pharmacokinetics and pharmacodynamics of the CDK4/6 inhibitor ribociclib in patients with recurrent glioblastoma

Tumor recurrence patterns after surgical resection of intracranial low-grade gliomas

Extent of resection and survival for oligodendroglioma: a U.S. population-based study

Baseline T1 hyperintense and diffusion-restricted lesions are not linked to prolonged survival in bevacizumab-treated glioblastoma patients of the GLARIUS trial

Clinical impact of circulating oncogenic MiRNA-221 and MiRNA-222 in glioblastoma multiform

Leitlinien kompakt für die Neurologie

Neu im Fachgebiet Neurologie

Demenzkranke durch Antipsychotika vielfach gefährdet

Parkinson-Therapie im Wandel – aktuelle Leitlinie im Fokus

Auf diese Krankheiten bei Geflüchteten sollten Sie vorbereitet sein

Hustenstiller lindert Agitation bei Alzheimer

Update Neurologie