Dataset Information

Clinical Significance of Various Classification Standards of Age Groups in Predicting Survival of Patients with Glioblastoma.

ABSTRACT: BACKGROUND The present study aimed to assess the association of various age groups with survival in patients with glioblastoma. MATERIAL AND METHODS The Surveillance, Epidemiology, and End Results (SEER) database was used to extracted data on new diagnoses of glioblastoma between 2005 and 2015. Four age models were constructed according to the age at diagnosis. RESULTS A total of 28 734 patients with glioblastoma (16 823 men and 11 911 women) were enrolled in the study. In multivariate analysis, variables including sex, race, tumor, and clinical information were identified as confounding factors to adjust 4 age models. In model 1, ages 39-58, 59-78, and 79+ years were risk factors of survival compared with age 0-18 years. In model 2, ages 18-65, 66-79, and 80+ years were prognostic factors of shorter survival compared with ages 0-17 years. In model 3, ages 45-59, 60-74, and 75+ years were associated with poor prognosis, while ages 18-44 years was associated with favorable clinical outcomes compared with ages 0-17 years. In model 4, ages 18-53, 54-64, and 65+ years were associated with poor prognosis. CONCLUSIONS The differences in prognoses in different age groups of glioblastoma patients suggest that clinicians should incorporate age into routine clinical assessments and develop appropriate treatment strategies.

SUBMITTER: Zhou X

PROVIDER: S-EPMC7282532 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Clinical Significance of Various Classification Standards of Age Groups in Predicting Survival of Patients with Glioblastoma.

Zhou Xingwang X Niu Xiaodong X Mao Qing Q Liu Yanhui Y

Medical science monitor : international medical journal of experimental and clinical research 20200530

BACKGROUND The present study aimed to assess the association of various age groups with survival in patients with glioblastoma. MATERIAL AND METHODS The Surveillance, Epidemiology, and End Results (SEER) database was used to extracted data on new diagnoses of glioblastoma between 2005 and 2015. Four age models were constructed according to the age at diagnosis. RESULTS A total of 28 734 patients with glioblastoma (16 823 men and 11 911 women) were enrolled in the study. In multivariate analysis, ...[more]

PMID: 32471970

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Project description:BackgroundPrevalence of psychotic-like experiences (PLEs) - reports of hallucinations and delusional thinking not meeting criteria for psychotic disorder - varies substantially across ethnoracial groups. What explains this range of PLE prevalence? Despite extensive research, the clinical significance of PLEs remains unclear. Are PLE prevalence and clinical severity differentially associated across ethnoracial groups?MethodsWe examined the lifetime prevalence and clinical significance of PLEs across ethnoracial groups in the Collaborative Psychiatric Epidemiology Surveys (N = 11 139) using the Composite International Diagnostic Interview (CIDI) psychosis symptom screener. Outcomes included mental healthcare use (inpatient, outpatient), mental health morbidity (self-perceived poor/fair mental health, suicidal ideation or attempts), and impairment (role interference). Individuals with outcome onsets prior to PLE onset were excluded. We also examined associations of PLEs with CIDI diagnoses. Cox proportional-hazards regression and logistic regression modeling identified associations of interest.ResultsContrary to previous reports, only Asian Americans differed significantly from other U.S. ethnoracial groups, reporting lower lifetime prevalence (6.7% v. 8.0-11.9%) and mean number (0.09 v. 0.11-0.18) of PLEs. In multivariate analyses, PLE clinical significance showed limited ethnoracial variation among Asian Americans, non-Caribbean Latinos, and Afro-Caribbeans. In other groups, mental health outcomes showed significant ethnoracial clustering by outcome (e.g. hospitalization and role interference with Caribbean-Latino origin), possibly due to underlying differences in psychiatric disorder chronicity or treatment barriers.ConclusionsWhile there is limited ethnoracial variation in U.S. PLE prevalence, PLE clinical significance varies across U.S. ethnoracial groups. Clinicians should consider this variation when assessing PLEs to avoid exaggerating their clinical significance, contributing to mental healthcare disparities.

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Dataset Information

Clinical Significance of Various Classification Standards of Age Groups in Predicting Survival of Patients with Glioblastoma.

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Clinical Significance of Various Classification Standards of Age Groups in Predicting Survival of Patients with Glioblastoma.

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