Literature DB >> 15159479

Primary malignant brain tumor incidence and Medicaid enrollment.

P R Sherwood1, M Stommel, D L Murman, C W Given, B A Given.   

Abstract

BACKGROUND: The relationship between socioeconomic status and health care disparities in the incidence of brain tumors is unclear.
OBJECTIVE: To identify the associations between age, sex, and Medicaid enrollment and the incidence of primary malignant brain tumors in Michigan in 1996 and 1997.
METHODS: Records were obtained from the Michigan Cancer Surveillance Program on the 1,006 incident cases during this period and cross-checked with Medicaid enrollment files.
RESULTS: Persons enrolled in Medicaid were more likely than non-enrolled persons to develop a malignant brain tumor of any type, a glioblastoma multiforme, and an astrocytoma for certain subgroups. In addition, incidence rates for malignant brain tumors in persons enrolled in Medicaid peaked at a younger age.
CONCLUSION: Sociodemographic status may be associated with cerebral malignancy and should be considered when targeting treatment and educational interventions at persons at risk.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15159479     DOI: 10.1212/01.wnl.0000125195.26224.7c

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  8 in total

1.  Differentiation of solitary brain metastasis from glioblastoma multiforme: a predictive multiparametric approach using combined MR diffusion and perfusion.

Authors:  Adam Herman Bauer; William Erly; Franklin G Moser; Marcel Maya; Kambiz Nael
Journal:  Neuroradiology       Date:  2015-04-07       Impact factor: 2.804

2.  Neurologic disorders in Medicaid vs privately insured children and working-age adults.

Authors:  Farrah J Mateen; Joseph P Geer; Kevin Frick; Marco Carone
Journal:  Neurol Clin Pract       Date:  2014-04

3.  Incidence of craniopharyngioma in Denmark (n = 189) and estimated world incidence of craniopharyngioma in children and adults.

Authors:  E H Nielsen; U Feldt-Rasmussen; L Poulsgaard; L O Kristensen; J Astrup; J O Jørgensen; P Bjerre; M Andersen; C Andersen; J Jørgensen; J Lindholm; P Laurberg
Journal:  J Neurooncol       Date:  2011-02-19       Impact factor: 4.130

4.  Distance to diagnosing provider as a measure of access for patients with melanoma.

Authors:  Karyn B Stitzenberg; Nancy E Thomas; Kathleen Dalton; Sarah E Brier; David W Ollila; Marianne Berwick; Dianne Mattingly; Robert C Millikan
Journal:  Arch Dermatol       Date:  2007-08

5.  Machine learning for semi-automated classification of glioblastoma, brain metastasis and central nervous system lymphoma using magnetic resonance advanced imaging.

Authors:  Nathaniel C Swinburne; Javin Schefflein; Yu Sakai; Eric Karl Oermann; Joseph J Titano; Iris Chen; Sayedhedayatollah Tadayon; Amit Aggarwal; Amish Doshi; Kambiz Nael
Journal:  Ann Transl Med       Date:  2019-06

6.  Area-based socioeconomic position and adult glioma: a hierarchical analysis of surveillance epidemiology and end results data.

Authors:  Jesse J Plascak; James L Fisher
Journal:  PLoS One       Date:  2013-04-09       Impact factor: 3.240

7.  Comparison of Intraoperative Ultrasound B-Mode and Strain Elastography for the Differentiation of Glioblastomas From Solitary Brain Metastases. An Automated Deep Learning Approach for Image Analysis.

Authors:  Santiago Cepeda; Sergio García-García; Ignacio Arrese; Gabriel Fernández-Pérez; María Velasco-Casares; Manuel Fajardo-Puentes; Tomás Zamora; Rosario Sarabia
Journal:  Front Oncol       Date:  2021-02-02       Impact factor: 6.244

8.  Socioeconomic status does not affect prognosis in patients with glioblastoma multiforme.

Authors:  Rebecca A Kasl; Philip R Brinson; Lola B Chambless
Journal:  Surg Neurol Int       Date:  2016-05-06
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.