Literature DB >> 29852776

Disparities in health care determine prognosis in newly diagnosed glioblastoma.

Ankush Chandra, Jonathan W Rick, Cecilia Dalle Ore, Darryl Lau, Alan T Nguyen, Diego Carrera, Alexander Bonte, Annette M Molinaro, Philip V Theodosopoulos, Michael W McDermott, Mitchel S Berger, Manish K Aghi.   

Abstract

OBJECTIVE Glioblastoma (GBM) is an aggressive brain malignancy with a short overall patient survival, yet there remains significant heterogeneity in outcomes. Although access to health care has previously been linked to impact on prognosis in several malignancies, this question remains incompletely answered in GBM. METHODS This study was a retrospective analysis of 354 newly diagnosed patients with GBM who underwent first resection at the authors' institution (2007-2015). RESULTS Of the 354 patients (median age 61 years, and 37.6% were females), 32 (9.0%) had no insurance, whereas 322 (91.0%) had insurance, of whom 131 (40.7%) had Medicare, 45 (14%) had Medicaid, and 146 (45.3%) had private insurance. On average, insured patients survived almost 2-fold longer (p < 0.0001) than those who were uninsured, whereas differences between specific insurance types did not influence survival. The adjusted hazard ratio (HR) for death was higher in uninsured patients (HR 2.27 [95% CI 1.49-3.33], p = 0.0003). Age, mean household income, tumor size at diagnosis, and extent of resection did not differ between insured and uninsured patients, but there was a disparity in primary care physician (PCP) status-none of the uninsured patients had PCPs, whereas 72% of insured patients had PCPs. Postoperative adjuvant treatment rates with temozolomide (TMZ) and radiation therapy (XRT) were significantly less in uninsured (TMZ in 56.3%, XRT in 56.3%) than in insured (TMZ in 75.2%, XRT in 79.2%; p = 0.02 and p = 0.003) patients. Insured patients receiving both agents had better prognosis than uninsured patients receiving the same treatment (9.1 vs 16.34 months; p = 0.025), suggesting that the survival effect in insured patients could only partly be explained by higher treatment rates. Moreover, having a PCP increased survival among the insured cohort (10.7 vs 16.1 months, HR 1.65 [95% CI 1.27-2.15]; p = 0.0001), which could be explained by significant differences in tumor diameter at initial diagnosis between patients with and without PCPs (4.3 vs 4.8 cm, p = 0.003), and a higher rate of clinical trial enrollment, suggesting a critical role of PCPs for a timelier diagnosis of GBM and proactive cancer care management. CONCLUSIONS Access to health care is a strong determinant of prognosis in newly diagnosed patients with GBM. Any type of insurance coverage and having a PCP improved prognosis in this patient cohort. Higher rates of treatment with TMZ plus XRT, clinical trial enrollment, fewer comorbidities, and early diagnosis may explain survival disparities. Lack of health insurance or a PCP are major challenges within the health care system, which, if improved upon, could favorably impact the prognosis of patients with GBM.

Entities:  

Keywords:  CCI = Charlson Comorbidity Index; GBM = glioblastoma; HR = hazard ratio; PCP; PCP = primary care physician; SEER = Surveillance, Epidemiology, and End Results; TMZ = temozolomide; XRT = radiation therapy; glioblastoma; health care; insurance; primary care physician; prognosis; socioeconomic

Mesh:

Year:  2018        PMID: 29852776      PMCID: PMC6105315          DOI: 10.3171/2018.3.FOCUS1852

Source DB:  PubMed          Journal:  Neurosurg Focus        ISSN: 1092-0684            Impact factor:   4.047


  36 in total

1.  Effects of health insurance and race on early detection of cancer.

Authors:  R G Roetzheim; N Pal; C Tennant; L Voti; J Z Ayanian; A Schwabe; J P Krischer
Journal:  J Natl Cancer Inst       Date:  1999-08-18       Impact factor: 13.506

2.  Postoperative mortality after surgery for brain tumors by patient insurance status in the United States.

Authors:  Eric N Momin; Hadie Adams; Russell T Shinohara; Constantine Frangakis; Henry Brem; Alfredo Quiñones-Hinojosa
Journal:  Arch Surg       Date:  2012-11

3.  Developing an Algorithm for Optimizing Care of Elderly Patients With Glioblastoma.

Authors:  Patrick M Flanigan; Arman Jahangiri; Ruby Kuang; Albert Truong; Sarah Choi; Alvin Chou; Annette M Molinaro; Michael W McDermott; Mitchel S Berger; Manish K Aghi
Journal:  Neurosurgery       Date:  2018-01-01       Impact factor: 4.654

4.  Does increasing insurance improve outcomes for US cancer patients?

Authors:  Jillian K Smith; Sing Chau Ng; Zheng Zhou; James E Carroll; Theodore P McDade; Shimul A Shah; Jennifer F Tseng
Journal:  J Surg Res       Date:  2013-06-05       Impact factor: 2.192

5.  Socio-economic characteristics of patients with glioblastoma multiforme.

Authors:  Samiul Muquit; Ruth Parks; Surajit Basu
Journal:  J Neurooncol       Date:  2015-09-03       Impact factor: 4.130

6.  Validation of a combined comorbidity index.

Authors:  M Charlson; T P Szatrowski; J Peterson; J Gold
Journal:  J Clin Epidemiol       Date:  1994-11       Impact factor: 6.437

7.  Prediagnostic body weight and survival in high grade glioma.

Authors:  Erin M Siegel; L Burton Nabors; Reid C Thompson; Jeffrey J Olson; James E Browning; Melissa H Madden; Gang Han; Kathleen M Egan
Journal:  J Neurooncol       Date:  2013-05-11       Impact factor: 4.130

8.  Cancer-specific outcomes among young adults without health insurance.

Authors:  Ayal A Aizer; Benjamin Falit; Mallika L Mendu; Ming-Hui Chen; Toni K Choueiri; Karen E Hoffman; Jim C Hu; Neil E Martin; Quoc-Dien Trinh; Brian M Alexander; Paul L Nguyen
Journal:  J Clin Oncol       Date:  2014-06-02       Impact factor: 44.544

9.  Social Determinants of Health in the United States: Addressing Major Health Inequality Trends for the Nation, 1935-2016.

Authors:  Gopal K Singh; Gem P Daus; Michelle Allender; Christine T Ramey; Elijah K Martin; Chrisp Perry; Andrew A De Los Reyes; Ivy P Vedamuthu
Journal:  Int J MCH AIDS       Date:  2017

10.  Newly diagnosed glioblastoma: adverse socioeconomic factors correlate with delay in radiotherapy initiation and worse overall survival.

Authors:  Erqi L Pollom; Dylann K Fujimoto; Summer S Han; Jeremy P Harris; Suzanne A Tharin; Scott G Soltys
Journal:  J Radiat Res       Date:  2018-03-01       Impact factor: 2.724

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  8 in total

1.  Predicting access to postoperative treatment after glioblastoma resection: an analysis of neighborhood-level disadvantage using the Area Deprivation Index (ADI).

Authors:  Krissia M Rivera Perla; Oliver Y Tang; Shayla N M Durfey; Tito Vivas-Buitrago; Wendy J Sherman; Ian Parney; Joon H Uhm; Alyx B Porter; Heinrich Elinzano; Steven A Toms; Alfredo Quiñones-Hinojosa
Journal:  J Neurooncol       Date:  2022-05-03       Impact factor: 4.130

2.  Brain tumor craniotomy outcomes for dual-eligible medicare and medicaid patients: a 10-year nationwide analysis.

Authors:  Oliver Y Tang; Ross A Clarke; Krissia M Rivera Perla; Kiara M Corcoran Ruiz; Steven A Toms; Robert J Weil
Journal:  J Neurooncol       Date:  2022-01-13       Impact factor: 4.130

3.  Racial/ethnic disparities in treatment pattern and time to treatment for adults with glioblastoma in the US.

Authors:  Quinn T Ostrom; Halle L Krebs; Nirav Patil; Gino Cioffi; Jill S Barnholtz-Sloan
Journal:  J Neurooncol       Date:  2021-03-23       Impact factor: 4.130

4.  Disparities in Reported Testing for 1p/19q Codeletion in Oligodendroglioma and Oligoastrocytoma Patients: An Analysis of the National Cancer Database.

Authors:  Jad Zreik; Panagiotis Kerezoudis; Mohammed Ali Alvi; Yagiz U Yolcu; Sani H Kizilbash
Journal:  Front Oncol       Date:  2021-11-09       Impact factor: 6.244

5.  Identifying Disparities in Care in Treating Glioblastoma: A Retrospective Cohort Study of Patients Treated at a Safety-net Versus Private Hospital Setting.

Authors:  Theodore Wang; Anthony Pham; Stella Yoo; Frank J Attenello; Richard Jennelle; Naveed Wagle; Eric L Chang; Gabriel Zada
Journal:  World Neurosurg       Date:  2020-01-27       Impact factor: 2.104

6.  Community economic factors influence outcomes for patients with primary malignant glioma.

Authors:  Aaron Bower; Fang-Chi Hsu; Kathryn E Weaver; Caleb Yelton; Rebecca Merrill; Robert Wicks; Mike Soike; Angelica Hutchinson; Emory McTyre; Adrian Laxton; Stephen Tatter; Christina Cramer; Michael Chan; Glenn Lesser; Roy E Strowd
Journal:  Neurooncol Pract       Date:  2020-03-24

7.  Survival among patients with glioma in the US Military Health System: A comparison with patients in the Surveillance, Epidemiology, and End Results program.

Authors:  Jie Lin; Julie A Bytnar; Brett J Theeler; Katherine A McGlynn; Craig D Shriver; Kangmin Zhu
Journal:  Cancer       Date:  2020-04-14       Impact factor: 6.921

8.  Socioeconomic factors affect treatment delivery for patients with low grade glioma: a Swedish population-based study.

Authors:  Louise Carstam; Isabelle Rydén; Sasha Gulati; Bertil Rydenhag; Roger Henriksson; Øyvind Salvesen; Anja Smits; Asgeir Store Jakola
Journal:  J Neurooncol       Date:  2019-12-27       Impact factor: 4.130

  8 in total

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