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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