World neurosurgery
September 8, 2026 · via Europe PMC
Age-Stratified Survival Patterns in Adults with Nonmalignant Intracranial Meningioma: A Population-Based SEER Cohort Study.
San TM, Soderstrom CW, Lopes C, +5 more, Mehta A.
AI summary — for doctors, generated from the abstract only
In nearly 49,000 SEER adults with nonmalignant intracranial meningioma, mortality rose with age and survival associations with sex, race, tumor size, and surgery varied across age groups.
What was studied
Retrospective population-based cohort using SEER (2004-2022) of adults with nonmalignant intracranial meningioma, with age-stratified Kaplan-Meier and multivariable Cox models for overall survival across five age groups.
Key findings
- 48,964 patients included, 75% female
- Mortality increased progressively with age while surgical resection rates declined with age (starting from 39% in the youngest group)
- Further age-group-specific statistics not fully captured in the abstract
Clinical relevance
This suggests prognostic counseling for benign meningioma should consider age alongside tumor size and treatment, but registry data cannot explain why survival patterns differ.
Who should care
Limitations
Retrospective registry analysis lacking granular data on comorbidities, WHO grade details, extent of resection, and cause of death; abstract text appears truncated so specific effect sizes are not available.
Survival with benign meningioma depends heavily on age, so risk discussions should be tailored to the patient's life stage.
This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.
Abstract
Background
Nonmalignant intracranial meningiomas are common primary CNS tumors with favorable prognosis, yet survival patterns across adulthood remain incompletely characterized. This study aims to evaluate age-stratified overall survival according to sex, race, ethnicity, tumor size, and surgical history.
Methods
This retrospective cohort study used the Surveillance, Epidemiology, and End Results (SEER) database to identify adults (≥18 years) diagnosed with nonmalignant intracranial meningioma from 2004 to 2022. The primary outcome was overall survival. Age-stratified Kaplan-Meier analyses and multivariable Cox proportional hazards models were constructed across five age groups (<50, 50-59, 60-69, 70-79, ≥80).
Results
Among 48,964 patients (75% female), mortality increased progressively with age, while surgical resection rates declined from 39% (<50 years) to 5.8% (≥80 years). Female sex was independently associated with improved survival across all age strata (HR:0.50-0.75; all p<0.001), though the magnitude attenuated with advancing age. Black patients demonstrated higher mortality than White patients in age groups under 80 years (HR:1.28-1.48; p<0.001). Surgical management was associated with improved survival across all age groups, with the largest absolute 10-year survival differences observed in patients with tumors ≥40 mm (range: 9.8%-20%) and the smallest in patients aged 70-79 years with tumors <20 mm (1.6%, p = 0.286). Tumor size ≥40 mm was the strongest independent mortality predictor (HR:1.47-1.93).
Conclusions
Survival in nonmalignant intracranial meningioma varies across adulthood. Age-stratified analysis reveals heterogeneity in sex, racial, tumor-size, and treatment-related survival. These findings support individualized prognostic assessment incorporating age, tumor burden, and clinical context.
DOI
10.1016/j.wneu.2026.125302
PMID
42710835
Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.
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