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- Title
Efficacy of the Geriatric Nutritional Risk Index for Predicting Overall Survival in Patients with Head and Neck Cancer: A Meta-Analysis.
- Authors
Yiu, Ching-Yi; Liu, Chien-Cheng; Wu, Jheng-Yan; Tsai, Wen-Wen; Liu, Ping-Hsin; Cheng, Wan-Jung; Chen, Jen-Yin; Hung, Kuo-Chuan
- Abstract
Head and neck cancer (HNC) is a prevalent malignancy with a poor prognosis, necessitating the identification of prognostic biomarkers to guide management. The geriatric nutritional risk index (GNRI), calculated from serum albumin and body weight, may predict survival in patients with HNC. We performed a systematic review and meta-analysis to clarify this relationship. Databases were searched for studies examining the association between pretreatment GNRI and overall survival in patients with HNC. Ten studies with 2793 patients were included. Meta-analysis demonstrated that low GNRI was associated with significantly worse overall survival compared to high GNRI (hazard ratio [HR]:2.84, 95% CI 2.07–3.91, p < 0.00001). Older age (HR:1.73; 95% CI, 1.35–2.22; p < 0.0001), male sex (HR:1.7; 95% CI, 1.12–2.6; p = 0.01), advanced tumor stage (HR: 2.5; 95% CI, 1.72–3.63; p < 0.00001), and higher T-/N-stage (HR = 1.69 and 1.98, respectively) were also predictive of unfavorable outcomes. The GNRI had the highest HR, suggesting potent predictive ability. Despite limitations, including retrospective design and potential publication bias, our study indicates that low pretreatment GNRI predicts poor overall survival in patients with HNC. The GNRI is an inexpensive, routinely available biomarker that could improve prognostication and guide management decisions. Additional research is warranted to validate these findings.
- Subjects
BIOMARKERS; MEDICAL databases; NUTRITIONAL assessment; META-analysis; CONFIDENCE intervals; MEDICAL information storage &; retrieval systems; SYSTEMATIC reviews; AGE distribution; HEAD &; neck cancer; GERIATRIC nutrition; CANCER patients; SEX distribution; DESCRIPTIVE statistics; SURVIVAL analysis (Biometry); PREDICTION models; MEDLINE; OVERALL survival; OLD age
- Publication
Nutrients, 2023, Vol 15, Issue 20, p4348
- ISSN
2072-6643
- Publication type
Article
- DOI
10.3390/nu15204348