Gaps in Diagnosis, Treatment, and Outcomes Among Patients with Brain Tumors in the United States: A State-of-the-Art Review
Simple Summary
Abstract
1. Introduction
2. Gaps in Diagnosis
3. Gaps in Treatment
| Determinant | Mechanism | Impact on Treatment | References |
|---|---|---|---|
| Socioeconomic Status | Income, education, neighborhood disadvantage; financial toxicity and employment loss | Reduced access to surgery, RT, chemotherapy; omission of systemic therapy; delays in care | [38,39,40,56] |
| Insurance Coverage | Type and adequacy of insurance | Influences multimodal therapy and timeliness of RT | [63,64] |
| Geographic Location | Rurality; distance to specialty centers; uneven distribution of trial-supporting infrastructure | Limited neurosurgical access; higher mortality | [6,44,45] |
| Race/Ethnicity | Structural inequities; referral patterns | Lower likelihood of aggressive or timely treatment; higher perioperative morbidity; lower rates of molecular testing | [49,50,51,55,62] |
| Health Literacy | Ability to navigate diagnosis and treatment | Delayed presentation; reduced adherence | [20,21,22,25,26,27] |
| Referral Pathways | Variation in provider referrals and facility type | Affects access to surgery, SRS, advanced care | [9,49,50,51] |
| Access to Advanced Modalities | Institutional capability | Unequal access to genomic testing and treatments such as SRS, TTFields | [10,28,29] |
| Clinical Trial Access | Structural and logistic barriers; limited infrastructure; provider bias; inadequate outreach | Low enrollment among minorities, uninsured, and rural patients; limited access to novel therapies | [45,57,58,59,60,61,62,65] |
| Supportive Care Infrastructure | Availability of medications, rehabilitation | Impacts QoL, symptom burden, and treatment tolerance; disparities in access to brain tumor–specific palliative care and rehabilitation | [10,52,65] |
4. Gaps in Outcomes
| Study | Study Type | Population | SES Measure | Key Findings |
|---|---|---|---|---|
| Di Nunno et al., 2024 [68] | Systematic Review/Meta-Analysis | 143,303 GBM patients | Economic income | Lower economic income is associated with poorer survival (pooled HR 1.09, 95% CI: 1.02–1.17) |
| Estevez-Ordoñez et al., 2023 [69] | Retrospective Cohort Study | 995 GBM patients (2008–2019) | Patient household income level (categorized low/middle/high); Insurance type; (also analyzed race) | African Americans had longer overall survival (aHR = 0.37) but significantly worse outcomes in low-SES groups (uninsured Black vs. White patients, HR = 15.6) |
| Ramapriyan et al., 2023 [70] | Retrospective Cohort Study | 29,609 GBM patients | Race and social determinants of health | Non-White patients predominantly composed the lowest SES quartile; higher SES is associated with better access to care and outcomes |
| Dy et al., 2022 [71] | Systematic Review/Meta-Analysis | 2552 GBM patients in low- and middle-income countries | Country income level | Patients in low- and middle-income countries have shorter survival times compared to those in high-income countries |
| Rivera Perla et al., 2022 [72] | Retrospective (multi-center) Study | 434 adult GBM patients (2012–2017) | ADI: neighborhood SES composite (top 66% vs. bottom 33% percentile) | GBM patients from high-ADI areas had lower odds of gross total resection (aOR = 0.43) and reduced use of adjuvant therapies, though survival differences were not significant |
| Bower et al., 2020 [73] | Retrospective (Single center) Study | 312 high-grade glioma patients (1999–2017) | Residential community income level (ZIP code median income above vs. below state median) | Patients from low-income areas had shorter OS (15.6 vs. 19.7 months) and living in high-income communities reduced mortality risk by 25% (HR = 0.75, p < 0.05) after adjustment |
| Liu et al., 2020 [66] | Retrospective Cohort Study | 28,952 GBM patients | Median household income | Higher median household income is associated with better overall survival; racial differences also influence outcomes |
| Ostrom et al., 2018 [74] | Retrospective Cohort Study | 244,808 glioma patients of which 150,631 (61.5%) had GBM | Race/Ethnicity | Non-Hispanic whites have higher glioma incidence, but lower survival rates, compared to other racial/ethnic groups |
| Pollom et al., 2018 [63] | Retrospective Cohort Study | 12,738 adult GBM patients (2010–2013) with chemoradiation | Area-level median household income (by ZIP code; above vs. below $48,000/year); Insurance status | Lower-income and uninsured/Medicaid patients had delays >35 days in starting radiotherapy, which correlated with worse survival. Patients from higher-income areas were more likely to receive timely RT (within 35 days) after surgery, conferring a survival benefit |
| Rong et al., 2016 [64] | Retrospective (SEER analysis) Study | 13,665 adult GBM patients (2007–2012) | Insurance status (Uninsured, Medicaid vs. non-Medicaid insured) | Uninsured (HR = 1.14) and Medicaid (HR = 1.10) patients had shorter survival than privately insured ones, with better survival outcomes over time seen only among the insured |
5. Addressing Existing Gaps and Future Directions
6. Conclusions
Supplementary Materials
Author Contributions
Funding
Conflicts of Interest
Abbreviations
| AHRQ | Agency for Healthcare Research and Quality |
| ASCO | American Society of Clinical Oncology |
| CBTRUS | Central Brain Tumor Registry of the United States |
| CNS | Central Nervous System |
| DALY | Disability-Adjusted Life Year |
| GBM | Glioblastoma |
| GLOBOCAN | Global Cancer Observatory |
| MRI | Magnetic Resonance Imaging |
| NCCN | National Comprehensive Cancer Network |
| NGS | Next-Generation Sequencing |
| PSI | Psychological Stress Index |
| SDI | Socio-demographic Index |
| SEER | Surveillance, Epidemiology, and End Results |
| SES | Socioeconomic Status |
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Podder, V.; Sarfraz, Z.; Qidwai, K.A.; Maharaj, A.; Ranjan, T.; Aulakh, S.; Ahluwalia, M.S. Gaps in Diagnosis, Treatment, and Outcomes Among Patients with Brain Tumors in the United States: A State-of-the-Art Review. Cancers 2025, 17, 3982. https://doi.org/10.3390/cancers17243982
Podder V, Sarfraz Z, Qidwai KA, Maharaj A, Ranjan T, Aulakh S, Ahluwalia MS. Gaps in Diagnosis, Treatment, and Outcomes Among Patients with Brain Tumors in the United States: A State-of-the-Art Review. Cancers. 2025; 17(24):3982. https://doi.org/10.3390/cancers17243982
Chicago/Turabian StylePodder, Vivek, Zouina Sarfraz, Khalid Ahmad Qidwai, Arun Maharaj, Tulika Ranjan, Sonikpreet Aulakh, and Manmeet S. Ahluwalia. 2025. "Gaps in Diagnosis, Treatment, and Outcomes Among Patients with Brain Tumors in the United States: A State-of-the-Art Review" Cancers 17, no. 24: 3982. https://doi.org/10.3390/cancers17243982
APA StylePodder, V., Sarfraz, Z., Qidwai, K. A., Maharaj, A., Ranjan, T., Aulakh, S., & Ahluwalia, M. S. (2025). Gaps in Diagnosis, Treatment, and Outcomes Among Patients with Brain Tumors in the United States: A State-of-the-Art Review. Cancers, 17(24), 3982. https://doi.org/10.3390/cancers17243982

