Supporting Information for Meta-analysis

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Presentation transcript:

Supporting Information for Meta-analysis Title: Prognostic values of vimentin expression and its clinicopathological significance in non-small cell lung cancer: a meta-analysis of 32 studies with 4118 cases Authors: Zhihua Ye1, Xin Zhang1, Yihuan Luo1, Shikang Li2, Lanshan Huang1, Zuyun Li1, Ping Li1, Gang Chen*1

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. HR and 95 CI% of multivariate analysis

2.2 Data calculated by Kaplan-Meier survival curves No 4. survival curve offered in the study

Step 1 Step 2

Step 3 Step 4

Step 5

Step 6

3. Data combination 3.1 Meta-analysis for clinicopathological parameters 3.2 Meta-analysis for overall survival (OS), disease-free survival (DFS)

3.1 Meta-analysis for clinicopathological parameters An example of meta-analysis for clinicopathological parameters: TNM stage (random-effects model)

3.2.1 Meta-analysis for overall survival (OS)

3.2.2 Meta-analysis for disease-free survival (DFS)

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： TNM stage

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

5.3 Begg’s test and a funnel plot was employed to estimate publication bias for OS in multivariate analysis

6.1 sensitivity analysis for OS in univariate analysis

6.1 sensitivity analysis for OS in multivariate analysis

Thank you very much!