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Table 1 Demographic distribution of the patients in different oral mucosal lesions (n, %)

From: Application of machine learning for the analysis of peripheral blood biomarkers in oral mucosal diseases: a cross-sectional study

General information

control(n = 82)

RAU(n = 100)

OLP(n = 35)

AG(n = 67)

BMS(n = 35)

H/χ2 value

P value

Gender

      

12.453

0.014*

 

male

36(43.90%)

46(46.00%)

15(42.86%)

15(22.39%)

10(28.57%)

  
 

female

46(56.10%)

54(54.00%)

20(57.14%)

52(77.61%)

25(71.43%)

  

Age(Year)

 

59.00(50.00, 68.00)

44.00(18.00, 70.00)

53.00(36.00, 70.00)

55.00(36.00, 74.00)

58.00(44.00, 72.00)

33.173

< 0.001*

Season

      

16.942

0.002*

 

spring

25(30.49%)

22(22.00%)

14(40.00%)

25(37.31%)

8(22.86%)

  
 

summer

42(51.21%)

26(26.00%)

5(14.28%)

28(41.79%)

11(31.42%)

  
 

autumn

6(7.32%)

28(28.00%)

8(22.86%)

4(5.97%)

12(34.29%)

  
 

winter

9(10.98%)

24(24.00%)

8(22.86%)

10(14.93%)

4(11.42%)

  
  1. Note: *Age does not follow a normal distribution and is represented by the 50th percentile (25th percentile, 75th percentile). Kruskal-Wallis H test was employed to perform multiple group comparisons, while a Bonferroni correction test was used to perform pairwise comparisons between groups. * p < 0.05