Table 2.
Journal Name | Primary functional outcomes | Secondary functional outcome | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
No. | Variable type | Statistical analysis conducted among all randomized patients1 | No. | Variable type | Statistical analysis conducted among all randomized patients1 | |||||
Continuous or binary | Ordinal | All variable types | Continuous or binary2 | Continuous or binary | Ordinal | All variable types | Continuous or binary2 | |||
Annals of Internal Medicine | 3 | 3 (100) | 0 (0) | 1 (33) | 1 (33) | 3 | 3 (100) | 0 (0) | 2 (67) | 2 (67) |
British Medical Journal | 3 | 3 (100) | 0 (0) | 2 (67) | 2 (67) | 4 | 3 (75) | 1 (25) | 1 (25) | 0 (0) |
Journal of the American Medical Association | 31 | 26 (84) | 5 (16) | 14 (45) | 9 (35) | 71 | 64 (90) | 7 (10) | 17 (24) | 10 (14) |
Lancet | 22 | 14 (64) | 8 (36) | 13 (59) | 5 (36) | 84 | 77 (92) | 7 (8) | 20 (24) | 13 (17) |
New England Journal of Medicine | 32 | 18 (56) | 12 (44) | 23 (72) | 11 (61) | 189 | 173 (92) | 16 (8) | 48 (25) | 32 (18) |
TOTAL | 91 | 64 (70) | 27 (30) | 55 (60) | 28 (44) | 351 | 320 (91) | 31 (9) | 88 (25) | 57 (17) |
Statistical analyses conducted on all randomized patients include: a) ordinal outcomes with death as a possible health state analyzed using a non-parametric or parametric method, b) continuous or binary outcomes analyzed using the worst-rank analysis, competing risk analysis, pattern mixture model, or survivor average causal effect, or c) binary outcome analyzed using incidence type analysis.
The number (%) of continuous or binary functional outcomes analyzed with a statistical method conducted on all randomized patients, denominator for the % is number of continuous or binary functional outcomes.