Frailty evaluation for predicting the survival in patients with glioma: a meta-analysis
- Qiuyan Xiang 1, Sha Luo 1, Guangyao Chen 2, Yiwen Liu 3,4
- Qiuyan Xiang 1, Sha Luo 1, Guangyao Chen 2
- 1Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
- 2Department of Orthopedics, West China Hospital, Sichuan University, Sichuan University, Chengdu, 610041, China.
- 3Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China. yiwenliu369wch@hotmail.com.
- 4Department of Intensive Care Medicine, West China Hospital, Sichuan University, No.37, Guoxue Lane, Wuhou District, Chengdu, 610041, China. yiwenliu369wch@hotmail.com.
- 0Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
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View abstract on PubMed
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.
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