ArticleBMC neurology2022
Exploring the relationship between age and prognosis in glioma: rethinking current age stratification.
Article in BMC neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Effect of Interferon Type I Adjuvant Therapy on the Lifespan and Complications of Glioma Patients Undergoing Chemotherapy: A Systematic Review and Meta-Analysis.Cancer reports (Hoboken, N.J.) · 2026Pooled it
- Early deterioration in isolated pontine stroke: predictors and outcomes.Journal of neurology · 2026Article
- Long-term radiological progression after resection of dysembryoplastic neuroepithelial tumors: patterns and prognostic factors.Journal of neuro-oncology · 2026Article
- Androgen receptor expression in glioblastoma: molecular profiling and association with tumor burden.Molecular biology reports · 2026Article
- Survival and function in elderly patients with GBM: the role of surgical resection with contemporary multimodal therapy.Journal of neuro-oncology · 2026Article
- Development and Validation of an Early Recurrence Prediction Model for High-Grade Glioma Integrating Temporalis Muscle and Tumor Features: Exploring the Prognostic Value of Temporalis Muscle.Journal of imaging informatics in medicine · 2026Article
- Awake craniotomy for brain tumor resection in the elderly: an institutional experience.Journal of neuro-oncology · 2026Article
- Comprehensive Differential Gene Expression Analysis in Glioblastoma Using PyDESeq2: A Comparison with Normal Brain Tissue.Advances in experimental medicine and biology · 2026Article
- Bioinformatics and machine learning reveal novel prognostic biomarkers in head and neck squamous cell carcinoma.Journal of applied genetics · 2025Article
- Multilayered insights into the full spectrum of diffuse gliomas: a novel prognostic evaluation model.Discover oncology · 2025Article
- From pixels to prognosis: leveraging radiomics and machine learning to predict IDH1 genotype in gliomas.Neurosurgical review · 2025Article
- ER stress-driven unfolded protein response fuels aging-related tumor aggressiveness in gliomas.Frontiers in molecular biosciences · 2025Article
- Utilizing the amide proton transfer technique to characterize diffuse gliomas based on the WHO 2021 classification of CNS tumors.The neuroradiology journal · 2024Article
- Combined Statistical Analysis of Glioblastoma Outcomes-A Neurosurgical Single-Institution Retrospective Study.Medicina (Kaunas, Lithuania) · 2024Article
- Prognosis Individualized: Survival predictions for WHO grade II and III gliomas with a machine learning-based web application.NPJ digital medicine · 2023Article
- Article
- Pan-glioma analyses reveal species- and tumor-specific regulation of neuron-glioma synapse genes by lncRNAs.Frontiers in genetics · 2023Article
- Cost Matrix of Molecular Pathology in Glioma-Towards AI-Driven Rational Molecular Testing and Precision Care for the Future.Biomedicines · 2022Review
- A Head-to-Head Comparison ofJournal of clinical medicine · 2022Article
- The Effect of Integrative Naturopathic Oncology Including Modulated Electrohyperthermia on Survival Outcome among Glioblastoma Multiforme Patients: A Retrospective Study.Integrative cancer therapiesArticle
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe age of glioma plays a unique role in prognosis. We hypothesized that age is not positively correlated with survival prognosis and explored its exact relationship.
methodsGlioma was identified from the SEER database (between 2000 and 2018). A multivariate Cox proportional regression model and restricted cubic spline (RCS) plot were used to assess the relationship between age and prognosis.
resultsA total of 66465 patients with glioma were included. Hazard ratios (HR) for ten-year by age: 0-9 years, HR 1.06 (0.93-1.20); 10-19 years: reference; 20-29 years, HR 0.90 (0.82-1.00); 30-39 years, HR 1.14 (1.04-1.25); 40-49 years, HR 2.09 (1.91-2.28); 50-59 years, HR 3.48 (3.19-3.79); 60-69 years, HR 4.91 (4.51-5.35);70-79 years, HR 7.95 (7.29-8.66); 80-84 years, HR 12.85 (11.74-14.06). After adjusting for covariates, the prognosis was not positively correlated with age. The smooth curve of RCS revealed this non-linear relationship: HR increased to 10 years first, decreased to 23 years, reached its lowest point, and became J-shaped.
conclusionThe relationship between age and glioma prognosis is non-linear. These results challenge the applicability of current age groupings for gliomas and advocate the consideration of individualized treatment guided by precise age.
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