ArticleNeurosurgical focus2018
Disparities in health care determine prognosis in newly diagnosed glioblastoma.
Article in Neurosurgical focus, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed, 50 citations in OpenAlex.
- Impact of healthcare disparities on the treatment and survival of patients with high-grade gliomas in Colombia: a multicenter inverse probability-weighted cohort analysis.Journal of neuro-oncology · 2025Article
- Beyond Molecular Characterization: The Impact of Age-Adjusted Charlson Comorbidity Index in Glioblastoma Patients Treated with Radio or Radio-Chemotherapy.Journal of clinical medicine · 2025Article
- Disparities in clinical trial enrollment related to laser interstitial thermal therapy for central nervous system metastases.Neurosurgical review · 2025Article
- Associations between central nervous system tumor diagnosis stage and survival and Medicaid enrollment among children, adolescents, and young adults.Neuro-oncology practice · 2025Article
- Financial toxicity in patients with glioblastoma.Journal of neuro-oncology · 2025Article
- Challenges and Opportunities in Accessing Surgery for Glioblastoma in Low-Middle Income Countries: A Narrative Review.Cancers · 2024Article
- Exploring the impact of primary care utilization and health information exchange upon treatment patterns and clinical outcomes of glioblastoma patients.Journal of neuro-oncology · 2024Article
- County-level disparities in care for patients with glioblastoma.Neurosurgical focus · 2023Article
- An evaluation of biobanking and therapeutic clinical trial representation among adult glioma patients from rural and urban Utah.Neuro-oncology practice · 2023Article
- Glioblastoma management in a lower middle-income country: Nationwide study of compliance with standard care protocols and survival outcomes in Ukraine.Neuro-oncology practice · 2023Article
- Area-level socioeconomic status is positively correlated with glioblastoma incidence and prognosis in the United States.Frontiers in oncology · 2023Review
- Predicting access to postoperative treatment after glioblastoma resection: an analysis of neighborhood-level disadvantage using the Area Deprivation Index (ADI).Journal of neuro-oncology · 2022Article
- Socioeconomic and demographic determinants of radiation treatment and outcomes in glioblastoma patients.Frontiers in neurology · 2022Article
- Brain tumor craniotomy outcomes for dual-eligible medicare and medicaid patients: a 10-year nationwide analysis.Journal of neuro-oncology · 2022Article
- Social determinants of health and survival on Brazilian patients with glioblastoma: a retrospective analysis of a large populational database.Lancet regional health. Americas · 2021Article
- Racial/ethnic disparities in treatment pattern and time to treatment for adults with glioblastoma in the US.Journal of neuro-oncology · 2021Article
- Disparities in Reported Testing for 1p/19q Codeletion in Oligodendroglioma and Oligoastrocytoma Patients: An Analysis of the National Cancer Database.Frontiers in oncology · 2021Article
- Racial Disparities in Malignant Primary Brain Tumor Survival in Texas From 1995 to 2013.Cureus · 2020Article
- Racial and socioeconomic disparities differentially affect overall and cause-specific survival in glioblastoma.Journal of neuro-oncology · 2020Article
- Location as Destiny: Identifying Geospatial Disparities in Radiation Treatment Interruption by Neighborhood, Race, and Insurance.International journal of radiation oncology, biology, physics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 1 institution in 1 country.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.