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. 2019 Jul 10;134(12):951–959. doi: 10.1182/blood.2019000239

Table 4.

Summary outcomes of patients according to the ISAPL modeling, considering the original data and bootstrap resampling

Clinical end points 1 y, % of mean (95% CI) 2 y, % of mean (95% CI) 5 y, % of mean (95% CI)
Low ISAPL High ISAPL P Low ISAPL High ISAPL P Low ISAPL High ISAPL P
OS <.001* <.001* <.001*
 Original data 91 (82-95) 67 (55-76) 91 (82-96) 67 (55-76) 91 (82-95) 55 (40-68)
 Bootstrap resampling 91 (83-96) 67 (56-77) 91 (83-96) 67 (56-77) 91 (83-96) 55 (38-67)
DFS <.001 <.001* <.001*
 Original data 98 (90-100) 88 (74-95) 92 (82-97) 85 (70-93) 90 (78-95) 72 (53-84)
 Bootstrap resampling 98 (92-100) 88 (74-96) 92 (82-97) 85 (71-94) 90 (81-96) 72 (51-84)
EFS <.001* <.001* <.001*
 Original data 91 (82-95) 63 (51-73) 85 (75-91) 60 (47-70) 83 (73-90) 45 (31-58)
 Bootstrap resampling 91 (81-96) 63 (52-75) 85 (76-92) 60 (48-71) 84 (74-90) 44 (32-60)
CIR <.001 <.001* <.001*
 Original data 2 (0-8) 10 (3-21) 7 (2-17) 13 (4-23) 9 (2-17) 25 (11-39)
 Bootstrap resampling 1 (0-9) 11 (4-22) 8 (3-17) 14 (4-25) 9 (4-19) 25 (14-43)
*

Welch 2-sample Student t test.

The Wilcoxon-Mann-Whitney test was used because of the instability caused by extreme values.