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Table 3 The correlation between LEEP biopsy histopathological patterns and patient characteristics

From: Unraveling cervical cancer screening dilemmas: histopathological insights from VIA and LEEP at bugando medical centre, Mwanza

Patient characteristics

Cervical cancer

Pre-cancerous

Benign lesion

Total

Chi2

P-value

Multinomial logistic regression

n (%)

n (%)

n (%)

R (95%CI)

P-value

HIV status

        

 HIV positive

14 (53.9)

61 (61.0)

79 (38.9)

154

13.684

0.001

2.1[1.28–3.51]

0.004

 HIV negative

12 (46.2)

39 (39.0)

124 (61.1)

175

    

Parity

        

 Nulliparous

2 (7.7)

6 (6.0)

6 (2.9)

14

-*

0.311

 Para1-4

13 (50.0

64 (64.0)

126 (62.1)

203

    

 Para ≥ 5

11 (42.3

30 (30.0)

71 (34.9)

112

    

Age

        

 21–30

3 (11.5)

13 (13.0)

28 (13.8)

44

  

2.2 [0.62–7.83]

0.220

 31–40

9 (34.6)

52 (52.0)

66 (32.5)

127

  

3.3[1.04–10.37]

0.042

 41–50

11 (42.3)

31 (31.0)

87 (42.9)

129

-*

0.035

1.7 [0.52–5.31]

0.383

 ≥51

3 (11.5)

4 (4.0)

22 (10.8)

29

  

Type of visit

        

 First visit for VIA

7 (5.6)

30 (24.0)

88 (70.4)

125

    

 First follow-up a year after treatment with CRYO/LEEP

2 (7.7)

12 (46.2)

12 (46.2)

26

    

 A follow-up visit after VIA negative

3 (7.9)

11 (29.0)

24 (63.2)

38

-*

0.167

 Client with VIA positive referred for CRYO/LEEP

14 (10.)

47 (33.6)

79 (56.4)

140

    

LEEP treatment provider

        

 Medical officer

21 (80.8)

65 (65.0)

153 (75.4)

239

–*

0.102

 Gynecologist

10 (8.9)

37 (32.7)

66 (58.4)

     
  1. -* P-value was calculated by Fisher’s exact test