BackgroundGeriatric nutritional risk index (GNRI) is an indicator of nutritional status derived by serum albumin level and ideal body weight, which has been proposed as a predictor of prognosis for elderly population with various clinical conditions. The objective of the meta-analysis was to comprehensively evaluate the association between baseline GNRI and survival of patients with colorectal cancer (CRC).MethodsCohort studies were identified by search of PubMed, Embase, and Web of Science databases from inception to January 05, 2022 according to the aim of the meta-analysis. A random-effect model incorporating the potential between-study heterogeneity was adopted to pool the results.ResultsNine studies including 3658 patients with CRC contributed to the meta-analysis. Results showed that CRC patients with lower GNRI at baseline had worse overall survival (OS, hazard ratio [HR] 2.39, 95% confidence interval [CI] 1.78-3.23, p<0.001; I2 = 60%) and progression-free survival (PFS, HR 1.77, 95% CI 1.38-2.26, p<0.001; I2 = 33%). The results were consistent in sensitivity analyses limited to elderly patients (HR for OS 2.25, p<0.001; HR for PFS 1.65, p=0.003). Subgroup analyses showed consistent results in patents with different cancer stages, and in studies with median follow-up < and ≥ 5 years (p for subgroup effects all < 0.05).ConclusionA lower GNRI at baseline may be independent associated with poor survival outcomes of patients with CRC. Evaluating the nutritional status using GNRI may be important for risk stratification of patients with CRC.
A number of polymorphisms in a disintegrin and metalloprotease 33 (ADAM33) gene have been implicated in susceptibility to chronic obstructive pulmonary disease (COPD). However, results to date have been inconclusive. We conducted meta-analyses to investigate the associations between multiple polymorphisms in ADAM33 gene and COPD susceptibility. PubMed, Embase and Chinese databases (Wanfang and China National Knowledge Infrastructure) were searched for eligible case-control studies.We extracted data and used meta-analysis to calculate pooled odds ratios with 95% confidence intervals to evaluate the strength of associations. Twelve studies containing six ADAM33 polymorphisms (F+1, S1, S2, T1, V4 and Q-1) were identified, which involved 2630 cases and 4376 controls. ADAM33 S1 polymorphism showed stable and significant associations with COPD risks among the Chinese and smoking populations, and Q-1 polymorphism showed stable and significant associations with COPD risks among the overall populations. In subgroup analyses, T1 and Q-1 polymorphisms were significantly associated with COPD risks among the Chinese and smoking populations, and among the Chinese, Caucasians and smoking populations, respectively. However, none of the significant results was stable in sensitivity analyses. With respect to F+1, S2 or V4 polymorphism, there was no evidence of any significant association with COPD risks in either the overall or the subgroup analysis. The results of this meta-analysis indicate that ADAM33 S1 polymorphism is a risk factor for COPD among the Chinese and smoking populations, and that Q-1 polymorphism is a risk factor for COPD among the overall populations.Key words: a disintegrin and metalloprotease 33, chronic obstructive pulmonary disease, meta-analysis, polymorphism, risk.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.