Frailty evaluation for predicting the survival in patients with glioma: a meta-analysis

  • 0Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.

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Summary

This summary is machine-generated.

Frailty significantly predicts poorer survival in glioma patients. Assessing frailty is crucial for improving patient care and predicting outcomes in neuro-oncology.

Area Of Science

  • Neuro-oncology
  • Geriatric Medicine
  • Clinical Epidemiology

Background

  • Frailty, a syndrome of decreased physiological reserve, impacts survival in glioma patients.
  • Understanding frailty's role is vital for clinical practice and patient management.

Purpose Of The Study

  • To evaluate the association between frailty and survival outcomes in glioma patients.
  • To provide evidence for integrating frailty assessments into clinical protocols.

Main Methods

  • Meta-analysis of eleven cohort studies including 2,519 glioma patients.
  • Searched PubMed, Embase, and Web of Science up to October 2024.
  • Pooled hazard ratios (HRs) using random-effects models; conducted sensitivity, subgroup, and meta-regression analyses.

Main Results

  • Frailty significantly associated with poorer overall survival (OS) (HR: 1.47, 95% CI: 1.25-1.74).
  • Frailty also linked to shorter progression-free survival (HR: 1.20, 95% CI: 1.06-1.36).
  • Results were consistent across various subgroups and study characteristics.

Conclusions

  • Frailty is a significant predictor of reduced survival in glioma patients.
  • Integrating frailty assessments can enhance outcome prediction and guide tailored interventions.
  • Highlights the importance of frailty in neuro-oncology clinical decision-making.