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. 2005 Apr 12;92(9):1794–1799. doi: 10.1038/sj.bjc.6602538

Table 3. ORsa showing the effect of HPV positivity at baseline, with cases stratified jointly by grade of diagnosis and time to diagnosis.

  Time to diagnosis
  ⩾8 years (n=209) 4–8 years (n=205) <4 years (n=150) All cases (n=564) Linear trendb
Grade of diagnosis
 CIN 2 (n=167) 0.93 (0.44–1.99) 1.56 (0.81–3.03) 2.30 (1.23–4.31) 1.55 (1.01–2.38) P=0.022
  (9/55) (13/57) (16/55) (38/167)  
 CIN 3 (n=346) 1.55 (0.97–2.47) 1.90 (1.21–2.98) 3.82 (2.30–6.33) 2.13 (1.54–2.95) P<0.001
  (31/132) (35/133) (32/81) (98/346)  
 Cancer (n=51) 2.83 (1.11–7.23) 5.65 (1.95–16.3) 1.38 (0.28–6.81) 3.32 (1.71–6.48) P<0.001
  (7/22) (7/15) (2/14) (16/51)  
 All cases (n=564) 1.47 (0.99–2.20) 1.97 (1.34–2.89) 2.97 (1.96–4.50) P<0.001
  (47/209) (55/205) (50/150)    
 
Linear trendc P=0.029 P<0.001 P<0.001 P<0.001  

OR=odds ratio; HPV=human papillomavirus; CIN=cervical intraepithelial neoplasia.

Numbers in cells represent the OR for the case group compared with controls (and 95% CI), the numbers within parentheses underneath are the number of HPV+ women/total number of women in case group.

a

All ORs are adjusted for age using logistic regression.

b

The linear trend was calculated by fitting time to diagnosis as the outcome variable in an ordinal logistic regression model (with controls comprising the baseline group).

c

The linear trend was calculated by fitting grade of lesion as the outcome variable in an ordinal logistic regression model (with controls comprising the baseline group).