Comment on, "Survival prediction of glioblastoma patients-are we there yet? A systematic review of prognostic modeling for glioblastoma and its clinical potential".

The article "Survival Prediction of Glioblastoma Patients-Are We There Yet? A Systematic Review of Prognostic Modeling for Glioblastoma and Its Clinical Potential" by Tewarie et al. (2024) critically examines the current landscape of prognostic models for glioblastoma, highlighting both advancements and challenges in their clinical application. Through a systematic review adhering to PRISMA guidelines, the authors synthesize findings from diverse studies, shedding light on the variability in model performance and the obstacles to clinical implementation. Despite these contributions, the review faces limitations due to the heterogeneity of the studies included, which complicates definitive conclusions. The authors emphasize the need for external validation and standardization, though further exploration of the persistence of these challenges and the biases in machine learning models is warranted. Future research should focus on standardizing protocols and integrating ethical considerations to enhance the clinical utility of these models, moving the field closer to practical application.