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Table 2 Prevalence of different HPV genotypes included in the meta-analysis of women infected with HIV in LMICs

From: Molecular epidemiology of human papillomavirus among HIV infected women in developing countries: systematic review and meta-analysis

References Year HPV 52 HPV
58
HPV
51
HPV
16
HPV
45
HPV
35
HPV
18
HPV 31 HPV
66
HPV
59
HPV
82
HPV
56
HPV
39
HPV
53
HPV
33
HPV
68
HPV
69
HPV
73
HPV
26
HPV
67
HPV
70
Veldhuijzen et al. [36] 2011 27 21 21 15 15 15                
Sinayobye et al. [37] 2014                      
Rocha-Brischiliari et al. [38] 2014   6 11 11 1   4 11 6 5 5 4 1 3 3 1   3    
Bollen et al. [43] 2006 12 8 10 11 4 3 10 1 4 1   5 14 11        
McDonald et al. [44] 2014 74 108 70 112 78 117 85 56   45   51 51   59 85      
Firnhaber et al. [45] 2010                      
Firnhaber et al. [46] 2009 20 14 20 45 25 30 27 11 18 16 10 22 14 29 12 12 12 12 4 2  
Nweke et al. [41] 2013 15      7   16       9        
Denny et al. [47] 2008 60 39 35 60 34 57 44 24 36 32 21 35 29 59 19 34 12 22 15 8 41
Akarolo-Anthony et al. [42] 2013 3 10 4 5 7 13 5 3   8   11 4   6 5      
Sahasrabuddhe et al. [48] 2007 65 35 22 25 25 25 19 21 21 12 7 18 18 30 12 20   10 9   
Rousseau et al. [49] 2006 19 12 11 10   12 8 9       8        
Helen [52] 2017                      
Hawes et al. [23] 2003                      
Mattos et al. [39] 2011                      
Nicol et al. [40] 2013     299    202               
Sagna et al. [35] 2010     9    33               
Munoz et al. [51] 2013   39   104 15   59 64        40       
Camargo et al. [50] 2014   44   100 19   66 71        40       
  1. The number in the table indicates the prevalence of different HPV genotypes included in the study. The proportion reported in the studies converted to number by multiplying the total sample size of each study by the proportion in percent for each required variables. This is very easy to run metaprop command in STATA software. Preparing data for meta-analysis in suitable form is the first step in quick work flow of analysis