Wei Guo1,2,3, Feng Li4,5,6, Fangfang Shen7,8,9, Yong Ma8,9,10. 1. Department of Respiratory Medicine, Shanxi Province Cancer Hospital, Taiyuan, 030001, Shanxi, China. guowei812@126.com. 2. Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Taiyuan, 030001, Shanxi, China. guowei812@126.com. 3. Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, 030001, Shanxi, China. guowei812@126.com. 4. Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Taiyuan, 030001, Shanxi, China. lifenglover@sina.com. 5. Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, 030001, Shanxi, China. lifenglover@sina.com. 6. Department of Cell Biology, Shanxi Province Cancer Hospital, Taiyuan, 030001, Shanxi, China. lifenglover@sina.com. 7. Department of Respiratory Medicine, Shanxi Province Cancer Hospital, Taiyuan, 030001, Shanxi, China. 8. Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Taiyuan, 030001, Shanxi, China. 9. Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, 030001, Shanxi, China. 10. Department of Thoracic Surgery, Shanxi Province Cancer Hospital, Taiyuan, 030001, Shanxi, China.
Abstract
OBJECTIVE: The purpose of this review was to collate evidence on the prognostic ability of the geriatric nutritional risk index (GNRI) for predicting overall survival (OS) and disease-free survival (DFS) in non-small cell lung cancer (NSCLC). METHODS: The datasets of PubMed, Scopus, Embase, CENTRAL, and Google Scholar were searched up to 24 May 2022 for English-language studies reporting the association between GNRI and OS or DFS in NSCLC patients. RESULTS: Eleven studies with 2865 patients were included. We noted that low GNRI was a significant predictor of poor OS (HR: 1.96 95% CI 1.66, 2.30 I2 = 0% p < 0.00001) and poor DFS (HR: 1.74 95% CI: 1.36, 2.23 I2 = 34% p < 0.0001) in NSCLC patients. The results did not change on sensitivity analysis. There was no evidence of publication bias. Most results were significant on subgroup analysis based on study location, tumor stage, therapy type, sample size, and GNRI cut-off. CONCLUSION: Data indicate that GNRI has good prognostic ability in patients with NSCLC. Individuals with low GNRI are at an increased risk of poor OS and DFS. GNRI could be incorporated as a simple, easy-to-use tool for the initial stratification of patients thereby allowing focused treatment plans.
OBJECTIVE: The purpose of this review was to collate evidence on the prognostic ability of the geriatric nutritional risk index (GNRI) for predicting overall survival (OS) and disease-free survival (DFS) in non-small cell lung cancer (NSCLC). METHODS: The datasets of PubMed, Scopus, Embase, CENTRAL, and Google Scholar were searched up to 24 May 2022 for English-language studies reporting the association between GNRI and OS or DFS in NSCLC patients. RESULTS: Eleven studies with 2865 patients were included. We noted that low GNRI was a significant predictor of poor OS (HR: 1.96 95% CI 1.66, 2.30 I2 = 0% p < 0.00001) and poor DFS (HR: 1.74 95% CI: 1.36, 2.23 I2 = 34% p < 0.0001) in NSCLC patients. The results did not change on sensitivity analysis. There was no evidence of publication bias. Most results were significant on subgroup analysis based on study location, tumor stage, therapy type, sample size, and GNRI cut-off. CONCLUSION: Data indicate that GNRI has good prognostic ability in patients with NSCLC. Individuals with low GNRI are at an increased risk of poor OS and DFS. GNRI could be incorporated as a simple, easy-to-use tool for the initial stratification of patients thereby allowing focused treatment plans.
Authors: Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal Journal: CA Cancer J Clin Date: 2018-09-12 Impact factor: 508.702
Authors: Nadia Howlader; Gonçalo Forjaz; Meghan J Mooradian; Rafael Meza; Chung Yin Kong; Kathleen A Cronin; Angela B Mariotto; Douglas R Lowy; Eric J Feuer Journal: N Engl J Med Date: 2020-08-13 Impact factor: 91.245