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Table 1 Comparison between the excluded and the study samples characteristics (total N = 705)

From: Are social inequalities in acute myeloid leukemia survival explained by differences in treatment utilization? Results from a French longitudinal observational study among older patients

  

Excluded sample (n = 113)

Study sample (n = 592)

Test comparing study sample with excluded sample characteristics

N

% or mean (sd)

N

% or mean (sd)

Treatment (total N = 696)

Intensive chemotherapy

7

7

187

32

p* < 0.001

Best supporting care

81

12

179

30

Hypomethylating agents

12

3

175

7

Aracytine low dose

3

78

42

30

Others

1

1

9

1

Patient’s characteristics

 Age

Median (inter-quartile range)

80

10

74

12

p # < 0.001

 Sex

Men

59

52

364

61

p § = 0.065

Women

54

48

228

39

 

 Patients’ SEP (EDI quintile)

(total N = 613)

Q1 – least deprived

3

14

124

21

 

Q2

6

29

104

18

 

Q3

6

29

127

21

p * = 0.388

Q4

5

24

137

23

 

Q5 – most deprived

1

5

100

17

 

 Charlson comorbidity index

0

20

19

261

44

 

1

11

10

122

21

p § = 0.001

2+

12

11

104

18

 

Undefinable

64

60

105

18

 

 Performance status

0/1

26

25

309

52

 

2

13

13

91

15

p § = 0.001

3/4

10

10

60

10

 

Undefinable

55

53

132

22

 

Tumor’s characteristics

 White blood cell counts (tercile) (total N = 599)

Tercile 1 – low

1

14

195

33

 

Tercile 2 – intermediate

4

57

189

32

p * = 0.393

Tercile 3 – high

2

29

193

33

 

Undefinable

0

0

15

3

 

 AML ontogeny (total N = 704)

AML de novo

36

32

301

51

 

Secondary AML (post treatment / MDS)

41

37

268

45

p § < 0.001

Undefinable

35

31

23

4

 

 Cytogenetic initial prognosis

Favorable/Intermediate

50

44

343

58

p § < 0.001

Unfavorable

26

23

203

34

 

Undefinable

37

33

46

8

 
  1. p-value for Fisher test *, chi-square test §, or Wilcoxon #