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Table 2 Distribution of medical specialties for the “binary” and “OEV” data meta-analyses in the CDSR

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

 

“binary”

  

Medical Specialty

ACMb

Number (%) of MAs

Events per MA:

Median (IQR)

  

Cancer

95 (13%)

49 (17, 120)

  

Cardiovascular

168 (23%)

14 (4, 43)

  

Central nervous system/musculoskeletal

44 (6%)

12 (5, 33)

  

Digestive/endocrine, nutritional and metabolic

71 (10%)

7 (3, 18)

  

Gynaecology, pregnancy and birth

87 (12%)

7 (2, 20)

  

Infectious diseases

46 (6%)

18 (8, 47)

  

Mental health and behavioural conditions

21 (3%)

2 (1, 5)

  

Pathological conditions, symptoms and signs

5 (1%)

9 (2, 15)

  

Respiratory diseases

87 (12%)

11 (5, 36)

  

Urogenital

30 (4%)

4 (2, 12)

  

Othera

61 (9%)

9 (3, 27)

  
 

“OEV”

Medical Specialty

OSc:

Number (%) of MAs

Events per MA: Median (IQR)

PDFSd: Number (%) of MAs

Events per MA: Median (IQR)

Cancer

60 (87%)

104 (45, 221)

31 (100%)

116 (56, 243)

Digestive/endocrine, nutritional and metabolic

1 (1%)

52 (35, 64)

-

-

Infectious diseases

8 (12%)

482 (160, 1109)

-

-

  1. aOther: Blood and immune system, General heath, Injuries, Mouth and dental, and Cystic fibrosis
  2. bACM All-cause mortality;
  3. cOS Overall Survival;
  4. dPDFS: Progression/Disease free survival