Body mass index as a prognostic indicator of overall survival in glioblastoma: A systematic review and meta analysis.
Publication/Presentation Date
3-1-2025
Abstract
BACKGROUND: Many previous studies have investigated the prognostic value of body mass index (BMI) for GBM outcomes with varying results. We present a comprehensive literature review and meta-analysis investigating BMI as a prognostic value in GBM.
METHODS: A systematic review of literature on adult patients with GBM published between 1999 and 2023 was conducted within OVID Medline, Pubmed, and Scopus. Non-English studies, unpublished studies, prior studies in series, and studies without BMI or survival data were excluded from our analysis. Random-effects meta-analyses were conducted on hazard ratios (HRs) for overall survival (OS) and progression-free survival (PFS). Risk of bias was assessed using the Newcastle Ottawa Scale.
RESULTS: 29 articles were identified, and 14 studies were included after full text review. 9 studies were included in analysis of OS for overweight versus normal weight with pooled HR of 1.02 and extremely high heterogeneity (I
CONCLUSIONS: Pooled results from all studies demonstrated very high heterogeneity and inconsistent results on subgroup analysis. Limitations included the small number of studies available, the poor quality of reported results, and differences in adjustment of HR between studies. No conclusion regarding the association between BMI and GBM survival can be drawn at this time.
Volume
133
First Page
111019
Last Page
111019
ISSN
1532-2653
Published In/Presented At
Carey, P., Gardner, C., Uppendahl, A., Kantor, J., Cappelli, L., Alnahhas, I., Andrews, D., Daskalakis, C., & Shi, W. (2025). Body mass index as a prognostic indicator of overall survival in glioblastoma: A systematic review and meta analysis. Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia, 133, 111019. https://doi.org/10.1016/j.jocn.2024.111019
Disciplines
Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods
PubMedID
39740645
Department(s)
Administration and Leadership
Document Type
Article