Table 2.

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

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

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