2023
DOI: 10.1016/j.critrevonc.2023.104065
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The impact of survivorship bias in glioblastoma research

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Cited by 13 publications
(9 citation statements)
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“…However, in patients with extensive coronary calcifications, no statistically significant association was found between total CACs and the left carotid bifurcation score or the proximal internal branch score. It should also be pointed out that this analysis was performed in patients symptomatic for cardiovascular disease, therefore introducing a selection bias [ 26 ].…”
Section: Discussionmentioning
confidence: 99%
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“…However, in patients with extensive coronary calcifications, no statistically significant association was found between total CACs and the left carotid bifurcation score or the proximal internal branch score. It should also be pointed out that this analysis was performed in patients symptomatic for cardiovascular disease, therefore introducing a selection bias [ 26 ].…”
Section: Discussionmentioning
confidence: 99%
“…In contrast, Barz et al evaluated the impact of the age-adjusted Charlson comorbidity index (ACCI) in patients diagnosed with GBM, finding no association between ACCI and prognosis [ 10 ]. However, in that study, the patient sample was heterogeneous and not all GBMs had been administered in the same postoperative treatment, with only 27 out of 123 patients having received postoperative radiotherapy [ 26 ].…”
Section: Discussionmentioning
confidence: 99%
“…As a result of the gaps observed between knowledge, attitude, and practices, more effective methods and considerable effort should be invested to better analyze the reasons for what motivates behavior change ( 22 ). The PMT framework for systematic behavior involved three phases: (1) assessing the risks; (2) benefiting from take protective measures; (3) making a decision.…”
Section: Discussionmentioning
confidence: 99%
“…Sippl and colleagues [ 58 ] showed a significant overexpression of miR-181d in the tumor tissue and plasma of glioblastoma patients compared with healthy individuals. Even if the majority of prognostic and predictive GB biomarkers are currently developed using tumor samples obtained through surgical interventions [ 59 , 60 ], the AUC values indicate that the two groups may be distinguished by the expression analysis of miR-181d. In addition, the authors demonstrated that The Cancer Genome Atlas analysis revealed 8 potential protein targets to be regulated by miR-181d.…”
Section: Cell-free Mirnas As Diagnostic and Prognostic Biomarkersmentioning
confidence: 99%