Evidence map›Paper›PMID 41931176›Full record

ArticleCancer causes & control : CCC2026

Unraveling survival disparities in primary central nervous system (CNS) lymphoma: an analysis of race, socioeconomic factors, and treatment outcomes using the surveillance, epidemiology, and end results program (2000-2021).

Shahzaib Maqbool, Mohammad Ebad Ur Rehman, Ramesha Tahir, Hafsa Arshad Azam Raja, Mouzma Ali, Muhammad Ibrahim, Jacob Guerrero, Abdur Rehman, Imran Khan, Abat Khan and 1 more

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Article in Cancer causes & control : CCC, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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11 authors.

Shahzaib MaqboolHCA Healthcare/Centerpoint Medical Center and Internal Medicine, 19600 E, 39th Street, Independence, MO, 64057, USA. Shahzaib.Maqbool@hcamidwest.com.
Mohammad Ebad Ur RehmanInternal Medicine, Rawalpindi Medical University, Rawalpindi, 46000, Pakistan.
Ramesha TahirInternal Medicine, Rawalpindi Medical University, Rawalpindi, 46000, Pakistan.
Hafsa Arshad Azam RajaInternal Medicine, Rawalpindi Medical University, Rawalpindi, 46000, Pakistan.
Mouzma AliInternal Medicine, Multan Medical and Dental College, Multan, 60000, Pakistan.
Muhammad IbrahimInternal Medicine, Rawalpindi Medical University, Rawalpindi, 46000, Pakistan.
Jacob GuerreroClinical Practice Foundation Skills, LLC, Fargo, ND, USA.
Abdur RehmanInternal Medicine, Rawalpindi Medical University, Rawalpindi, 46000, Pakistan.
Imran KhanNYCHHC/Woodhull Medical Center, Internal Medicine, NY, 11206, USA.
Abat KhanHematology & Oncology, Memorial Healthcare System, Hollywood, FL, 33021, USA.
Jose D Sandoval-SusHematology & Oncology, Memorial Healthcare System, Hollywood, FL, 33021, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePrimary Central Nervous System lymphoma (PCNSL) is a rare and aggressive malignancy with variable survival outcomes. This study aimed to evaluate the impact of racial and socioeconomic disparities on survival outcomes in PCNSL and to identify independent prognostic factors using a large US population-based database.

methodsThis retrospective cohort study analyzed data from the SEER-17 database for patients diagnosed with PCNSL between 2000 and 2021. Demographic, socioeconomic, and treatment variables were extracted. Kaplan-Meier analysis assessed overall survival (OS) and cancer-specific survival (CSS) across subgroups, and multivariable Cox proportional hazards models identified independent prognostic factors.

resultsA total of 7,068 patients were included (52.3% male; mean age 63 ± 15 years). Racial composition was 63.9% Caucasian, 16.0% Hispanic, 12.2% Asian/Pacific Islander, 7.3% African American, and 0.4% American Indian/Alaskan Native. Median OS differed significantly by race (p < 0.001), ranging from 5 months in American Indian/Alaskan Natives to 22 months in Asian/Pacific Islanders. Higher income (≥ $75,000) was associated with improved median OS compared to < $50,000 (13 vs. 6 months; p < 0.001). Patients diagnosed after 2019 had markedly better outcomes (mOS 19 vs. 11 months; p = 0.001), with CSS not reached post-2019.

conclusionSignificant racial and socioeconomic disparities in PCNSL survival were identified. Higher income, chemotherapy, and radiation were independently associated with improved survival, while older age and male sex predicted worse outcomes. The improvement in outcomes after 2019 likely reflects recent advances in PCNSL management, highlighting the need for equitable access to emerging therapies.

Indexed as

Central Nervous System NeoplasmsHealthcare DisparitiesLymphomaRacial GroupsSocioeconomic Disparities in HealthAgedFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesSEER ProgramSocioeconomic FactorsTreatment OutcomeUnited StatesCNS lymphomaPublic health oncologyRaceSocioeconomic statusSurvival disparitiesTreatment outcomes

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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.