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Table 2 HPV incidence in women without cervical abnormalities

From: Epidemiology of HPV genotypes in Uganda and the role of the current preventive vaccines: A systematic review

Author

Area, subjects

Study design

HPV test

HPV incidence rate for any, HR*, LR** and type-specific genotypes among all tested womena per 100 PYs

HPV incidence for any and type-specific genotypes all tested womena per 100 PYs by HIV status

Comments

Safaeian et al., 2008a [24]

Rakai district, rural women, median age 29 years (range, 15-59 years)

Prospective cohort

HC 2/PGMY/09/11 assay

Any HR-HPVa, 8.7

Type-specific genotypes a

HPV 16, 1.5

HPV 18, 0.9

HPV 45, 1.1

HPV 51, 1.8

HPV 52, 1.1

HIV Positive

Any HR-HPVa, 17.3

Type-specific genotypes a

HPV 16, 3.2

HPV 18, 2.1

HPV 45, 2.7

HPV 51, 5.1

HPV 52, 1.3

HIV Negative

Any HR-HPVa , 7.0

Type-specific genotypes a

HPV 16, 1.2

HPV 18, 0.7

HPV 45, 0.8

HPV 51, 1.2

HPV 52, 1.0

HIV prevalencea, 14.0%

Banura et al., 2010 [25]

Teenage clinic in Kampala, 380 young women, median age at baseline 19 years (range, 12-24)

Prospective cohort

SPF10/LIPA PCR assay

Any HPVa, 30.5

HR-HPV types, 20.9

LR-HPV types, 10.6

HPV 16-related types, 10.8

HPV 18-related types, 5.6

Type-specific genotypes

HR-HPV genotypes a

HPV 16, 3.3

HPV 18, 2.0

HPV 45, 1.3

HPV 51, 4.2

HPV 52, 3.4

LR-HPV genotypes a

HPV 6, 3.4

HPV 11, 1.9

HIV Positive

Any HR-HPVa, 40.0

Type-specific genotypes a

HPV 16, 6.7

HPV 18, 3.0

HIV Negative

Any HR-HPVa, 29.7

Type-specific genotypes a

HPV 16, 3.0

HPV 18, 2.1

Cumulative prevalence over 27.5 months a

HR-HPV types, 68.2%

LR-HPV types, 55.0%

HPV 16-related types, 48.6%

HPV 18-related types, 28.2%

  1. HR* = High Risk
  2. LR** = Low Risk
  3. a Denominator consist of all the tested women
  4. PYs = Person Years