Literature DB >> 31750040

Racial Differences in Disease Presentation and Management of Intracranial Meningioma.

C Lane Anzalone1, Amy E Glasgow2, Jamie J Van Gompel1,3, Matthew L Carlson1,3.   

Abstract

Objective/Hypothesis  The aim of the study was to determine the impact of race on disease presentation and treatment of intracranial meningioma in the United States. Study Design  This study comprised of the analysis of a national population-based tumor registry. Methods  Analysis of the surveillance, epidemiology, and end results (SEER) database was performed, including all patients identified with a diagnosis of intracranial meningioma. Associations between race, disease presentation, treatment strategy, and overall survival were analyzed in a univariate and multivariable model. Results  A total of 65,973 patients with intracranial meningiomas were identified. Of these, 45,251 (68.6%) claimed white, 7,796 (12%) black, 7,154 (11%) Hispanic, 4,902 (7%) Asian, and 870 (1%) patients reported "other-unspecified" or "other-unknown." The median annual incidence of disease was lowest among black (3.43 per 100,000 persons) and highest among white (9.52 per 100,000 persons) populations ( p  < 0.001). Overall, Hispanic patients were diagnosed at the youngest age and white patients were diagnosed at the oldest age (mean of 59 vs. 66 years, respectively; p  < 0.001). Compared with white populations, black, Hispanic, and Asian populations were more likely to present with larger tumors ( p  < 0.001). After controlling for tumor size, age, and treatment center in a multivariable model, Hispanic patients were more likely to undergo surgery than white, black, and Asian populations. Black populations had the poorest disease specific and overall survival rates at 5 years following surgery compared with other groups. Conclusion  Racial differences among patients with intracranial meningioma exist within the United States. Understanding these differences are of vital importance toward identifying potential differences in the biological basis of disease or alternatively inequalities in healthcare delivery or access Further studies are required to determine which factors drive differences in tumor size, age, annual disease incidence, and overall survival between races. © Thieme Medical Publishers.

Entities:  

Keywords:  epidemiology; ethnicity; meningioma; microsurgery; race; radiosurgery

Year:  2018        PMID: 31750040      PMCID: PMC6864429          DOI: 10.1055/s-0038-1676788

Source DB:  PubMed          Journal:  J Neurol Surg B Skull Base        ISSN: 2193-634X


  28 in total

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Authors:  P B Bach; L D Cramer; J L Warren; C B Begg
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Authors:  Aliki J Taylor; Mark P Little; David L Winter; Elaine Sugden; David W Ellison; Charles A Stiller; Marilyn Stovall; Clare Frobisher; Emma R Lancashire; Raoul C Reulen; Michael M Hawkins
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3.  Epidemiology of meningiomas post-Public Law 107-206: The Benign Brain Tumor Cancer Registries Amendment Act.

Authors:  Therese A Dolecek; Emily Van Meter Dressler; Jigisha P Thakkar; Meng Liu; Abeer Al-Qaisi; John L Villano
Journal:  Cancer       Date:  2015-04-14       Impact factor: 6.860

4.  Migraine care among different ethnicities: do disparities exist?

Authors:  Robert A Nicholson; Megan Rooney; Kelly Vo; Erinn O'Laughlin; Melanie Gordon
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5.  Comorbidity and survival disparities among black and white patients with breast cancer.

Authors:  C Martin Tammemagi; David Nerenz; Christine Neslund-Dudas; Carolyn Feldkamp; David Nathanson
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6.  Racial differences in the incidence of gliomas: a retrospective study from Memphis, Tennessee.

Authors:  J T Robertson; B C Gunter; G W Somes
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7.  Racial, ethnic, and socioeconomic disparities in patient outcomes after craniotomy for tumor in adult patients in the United States, 1988-2004.

Authors:  William T Curry; Bob S Carter; Fred G Barker
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Review 8.  Racial, ethnic and socioeconomic disparities in the treatment of brain tumors.

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Journal:  J Neurooncol       Date:  2009-05-09       Impact factor: 4.130

9.  Multiple Sclerosis Mortality by Race/Ethnicity, Age, Sex, and Time Period in the United States, 1999-2015.

Authors:  Lilyana Amezcua; Erica Rivas; Sarah Joseph; Juanjuan Zhang; Lihua Liu
Journal:  Neuroepidemiology       Date:  2018-01-16       Impact factor: 3.282

10.  Reproductive and exogenous hormone factors in relation to risk of meningioma in women: a meta-analysis.

Authors:  Zhen-Yu Qi; Chuan Shao; Yu-Lun Huang; Guo-Zhen Hui; You-Xin Zhou; Zhong Wang
Journal:  PLoS One       Date:  2013-12-27       Impact factor: 3.240

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  6 in total

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Authors:  Farshad Nassiri; Justin Z Wang; Karolyn Au; Jill Barnholtz-Sloan; Michael D Jenkinson; Kate Drummond; Yueren Zhou; James M Snyder; Priscilla Brastianos; Thomas Santarius; Suganth Suppiah; Laila Poisson; Francesco Gaillard; Mark Rosenthal; Timothy Kaufmann; Derek S Tsang; Kenneth Aldape; Gelareh Zadeh
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Review 3.  Adult brain tumors in Sub-Saharan Africa: A scoping review.

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Review 4.  Molecular determinants of outcomes in meningiomas.

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Review 5.  Addressing racial disparities in surgical care with machine learning.

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6.  Impact of COVID-19 on Intracranial Meningioma Resection: Results from California State Inpatient Database.

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  6 in total

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