ArticleCancer medicine2019
Epidemiological trends, relative survival, and prognosis risk factors of WHO Grade III gliomas: A population-based study.
Article in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Designing a web-based platform for dynamic estimation of individualized conditional survival in grade 3 gliomas.Discover oncology · 2025Article
- miR-200 family as new potential prognostic factor of overall survival of patients with WHO G2 and WHO G3 brain gliomas.Scientific reports · 2024Article
- Characteristics, Patterns of Care and Predictive Geriatric Factors in Elderly Patients Treated for High-GradeCancers · 2022Article
- Leber's hereditary optic neuropathy with diffuse white matter changes mimicking gliomatosis cerebri: illustrative case.Journal of neurosurgery. Case lessons · 2021Article
- DNA Methylation-Driven Genes for Developing Survival Nomogram for Low-Grade Glioma.Frontiers in oncology · 2021Article
- Sex-specific aspects of epidemiology, molecular genetics and outcome: primary brain tumours.ESMO open · 2020Review
- Epidemiological trends, relative survival, and prognosis risk factors of WHO Grade III gliomas: A population-based study.Cancer medicine · 2019Article
- Radiotherapy of Grade III Gliomas: Identification of Clinical Prognostic Factors for Local Tumor Control and Survival.In vivo (Athens, Greece)Article
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Authors and funding
8 authors.
Funding
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Abstract
backgroundPopulation-based studies on grade III gliomas are still lacking. The purpose of our study was to investigate epidemiological characteristics, survival, and risk factors of these tumors. PATIENTS AND
methodsAll data of patients with grade III gliomas were extracted from the Surveillance, Epidemiology, and End Results database. This database provides analysis to evaluate age-adjusted incidence, incidence-based mortality, and limited-duration prevalence. The trends of incidence and mortality were modeled using Joinpoint program. Relative survival was also available in this database. Univariate and multivariate analyses were used to access the prognostic significance of risk factors on cancer-specific survival. Nomogram was constructed to predict 3-, 5-, and 10-year survival.
resultsOur study showed that during 2000-2013, the incidence was stable and the mortality rate dropped significantly with APC as -1.95% (95% CI: -3.35% to -0.54%). Patients aged 40-59 had the highest prevalent cases. The 1-, 3-, 5-, and 10-year relative survival rates for all patients were 74.7%, 52.8%, 44.4%, and 32.4%. And it varied by risk factors. Cox regression analysis showed older age, male, black race, divorced status, histology of AA, tumor size <3.5 cm and no surgery were associated with worse survival.
conclusionOur study provides reasonable estimates of the incidence, mortality, and prevalence for patients with grade III gliomas during 2000-2013. The results of relative survival and Cox regression analysis revealed that age, race, sex, year of diagnosis, tumor site, histologic type, tumor size, and surgery were the identifiable prognostic indicators. The effects of radiotherapy still need further study. We integrated these risk factors to construct an effective clinical prediction model.
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