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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