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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