Supporting Information for Meta-analysis

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Presentation transcript:

Supporting Information for Meta-analysis Title: Astrocyte Elevated Gene-1 as a Novel Clinicopathological and Prognostic Biomarker for Gastrointestinal Cancers: A Meta-Analysis with 2999 patients Authors: Yihuan Luo, Xin Zhang, Zhong Tan, Peirong Wu, Xuelian Xiang, Yiwu Dang, Gang Chen*

1. A sample of search strategy

2. Data extraction 2.1 Data directly extracted from literatures 2.2 Data calculated by Kaplan-Meier survival curves

2.1 Data directly extracted from literatures NO 1. number of patients NO 2. events of T classification

NO 3. follow-up period of patients No 4. HR and 95 CI% of multivariate analysis

2.2 Data calculated by Kaplan-Meier survival curves No 5. survival curve offered in the study

Step 1 Step 2

Step 3 Step 4

Step 5

Step 6 Step 7

3. Data combination 3.1 Meta-analysis for clinicopathological parameters 3.2 Meta-analysis for overall survival (OS), disease-free survival (DFS), disease-specific survival (DSS) and relapse-survival (RFS) 3.3 Subgroup analysis for cancer types

3.1 Meta-analysis for clinicopathological parameters 3.1.1 The group of histological differentiation (random-effects model)

3.1.2 The group of T classification (random-effects model)

3.1.3 The group of N classification (fixed-effects model)

3.1.4 The group of M classification (random-effects model)

3.2 Meta-analysis for overall survival (OS), disease-free survival (DFS), disease-specific survival (DSS) and relapse-survival (RFS) 3.2.1 Data combination of OS (fixed-effects model)

3.2.2 Data combination of DFS (fixed-effects model)

3.2.3 Data combination of DSS and RFS (random-effects model)

3.3 Subgroup analysis for OS by cancer types

4. Quality assessment of included studies

5. Publication bias 5.1 Begg’s test and funnel plots were employed to estimate publication bias in groups of clinicopathological parameters 5.2 Begg’s test and a funnel plot was employed to estimate publication bias for OS

5.1 Begg’s test and funnel plots were employed to estimate publication bias in groups of clinicopathological parameters 5.1.1 The group of histological differentiation

5.1.2 The group of T classification

5.1.3 The group of N classification

5.1.3 The group of M classification

5.2 Begg’s test and a funnel plot was employed to estimate publication bias for OS

Thank you very much!