![]() Six of seven studies (2978 patients) with LNM containing tumor stage were included based on different AGR levels. The result indicated that cancer patients with low AGR level were more prone to develop lymph node metastasis. Besides, the meta-regression and subgroup analyses were not allowed to perform effectively because there were only seven articles in this analysis. ![]() After post hoc sensitivity analysis, there is no manifestation of the chief cause of significant heterogeneity (Figure 4B). And significant heterogeneity was detected (I 2 = 59.2%, P heterogeneity = 0.023, Figure 4A). The random effect analysis was conducted and the pooled OR of these seven articles was 2.24 (95% CI 1.50-3.36, P<0.001 Figure 4A). Only seven studies (3086 patients) containing LNM were included based on different AGR levels. OS: overall survival, LNM: lymph node metastasis, TS: tumor stage, HR: hazard ratios, OR: odds ratios, No: number, CI: confidence interval. This result manifested that the low pretreatment AGR level was associated with poor OS. Patients with different AGR levels showed different OS status. No significant heterogeneity was found (I 2 = 12.7%, P heterogeneity = 0.32) and the pooled HR was 1.60 (95% CI 1.38-1.84, P<0.001, Supplementary Figure S2A) in the random effect analysis. On the basis of these two studies, meta-analysis was re-run with comparison of other 12 publications. Finally, the heterogeneity was ascribed to two studies, Zhang J (2016) and Chen Z (2017), by the Galbraith Plot (Figure 3C). ![]() The sensitivity analysis (Figure 3B) was implemented but none of the articles was responsible for heterogeneity. Due to this reason, firstly the meta-regression analysis was conducted but the source of heterogeneity was still obscure, regardless of year (P= 0.537), country (P= 0.594), cutoff value (P= 0.058), and sample size (P= 0.364, Table 2). When the initial meta-analysis was performed, it is found that the data were too heterogeneous (I 2 = 64.9%, P heterogeneity < 0.001, Figure 3A). In the light of our research goal, the random effect analysis was applied and the pooled HR was 1.87 (95% confidence interval (95% CI) 1.50-2.34, P < 0.001). RCC: renal cell carcinoma, CC: colon cancer, HCC: hepatocellular carcinoma, ESCC: esophageal squamous cell carcinoma, UTUC: upper tract urothelial carcinoma, NKTCL: natural killer/T-cell lymphoma, NPC: nasopharyngeal carcinoma, SCLC: small cell lung cancer EC: esophageal cancer, GB: glioblastoma, GC: gastric cancer N/A: not available Overall survivalĪll of eligible studies (4136 patients) containing OS were included and classified on the basis of different AGR levels. The analysis based on random-effect model demonstrated that low AGR was significantly associated with poor OS in various cancers (HR=1.87, 95% CI 1.50-2.34 P =6, Supplementary Table S1).Ĭharacteristics of studies in this meta-analysis Study Of 403 studies retrieved, 14 eligible studies with 4136 patients were included in this study. Hazard ratio (HR), odd ratio (OR) and their 95% confidence intervals (95% CI) were evaluated through meta-analysis according to standard steps. Systematical search through six electronic databases has been carried out to identify reports involving the role of AGR on OS and LNM in human cancers. Here, a systemic review and meta-analysis has been performed to comprehensively assess the relationships between AGR and lymph node metastasis (LNM) or overall survival (OS). The impact of albumin to globulin ratio (AGR) on the prognosis of various human cancers has not been well established. Select the file that you have just downloaded and select import option Reference Manager (RIS). Prognostic Value of Albumin/Globulin Ratio in Survival and Lymph Node Metastasis in Patients with Cancer: A Systematic Review and Meta-analysis. ![]() Chi J, Xie Q, Jia J, Liu X, Sun J, Chen J, Yi L. ![]()
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