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Table 3 Number (%) of (non-)significant meta-analyses under different scales for two-stage models (“binary” and “OEV” data)

From: Implications of analysing time-to-event outcomes as binary in meta-analysis: empirical evidence from the Cochrane Database of Systematic Reviews

 

Outcome

 

OR

HR (O-E & V)

“binary”

   

Significant

Non-significant

Significant

Non-Significant

HR

(clog-log)

All-cause mortality

Significant

106 (15%)

2 (0.1%)

  

Non-significant

4 (0.6%)

603 (84%)

  

“OEV”

   

Significant

Non-significant

Significant

Non-Significant

HR

(clog-log)

Overall Survival

Significant

20 (29%)

1 (0.2%)

18 (26%)

10 (14%)

Non-significant

1 (0.2%)

47 (68%)

3 (4%)

38 (55%)

Progression / Disease free Survival

Significant

9 (29%)

0 (0%)

8 (26%)

6 (19%)

Non-significant

1 (3%)

21 (68%)

1 (3%)

16 (52%)

HR

(O-E &V)

Overall Survival

Significant

18 (26%)

10 (14%)

  

Non-significant

3 (4%)

38 (55%)

  

Progression / Disease free Survival

Significant

9 (29%)

5 (16%)

  

Non-significant

1 (3%)

16 (52%)