2013
DOI: 10.1371/journal.pone.0053494
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Validation of Cervical Cancer Screening Methods in HIV Positive Women from Johannesburg South Africa

Abstract: BackgroundHIV-infected women are at increased risk for developing cervical cancer. Women living in resource-limited countries are especially at risk due to poor access to cervical cancer screening and treatment. We evaluated three cervical cancer screening methods to detect cervical intraepithelial neoplasia grade 2 and above (CIN 2+) in HIV-infected women in South Africa; Pap smear, visual inspection with 5% acetic acid (VIA) and human papillomavirus detection (HPV).MethodsHIV-infected women aged 18–65 were r… Show more

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Cited by 103 publications
(148 citation statements)
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“…The high rates of HPV positivity and high-grade cervical lesions observed in SA are very similar to those recently reported from HIV-1-infected women in this country. 33 When focusing on the 13 hr-HPV types targeted by HC2, prevalence of hr-HPV infection detected by INNOLiPA was higher than that detected by HC2 (70% vs 52%). This observation confirms the higher analytical sensitivity of INNO-LiPA.…”
Section: Discussionmentioning
confidence: 88%
“…The high rates of HPV positivity and high-grade cervical lesions observed in SA are very similar to those recently reported from HIV-1-infected women in this country. 33 When focusing on the 13 hr-HPV types targeted by HC2, prevalence of hr-HPV infection detected by INNOLiPA was higher than that detected by HC2 (70% vs 52%). This observation confirms the higher analytical sensitivity of INNO-LiPA.…”
Section: Discussionmentioning
confidence: 88%
“…disease) probability estimates were obtained from a previous study conducted among HIV-infected women in Johannesburg. [12] Specifically, the probabilities of NILM, CIN1, CIN2, CIN3 and ICC were assumed to be 0. Second, we modelled the programme-wide burden of cervical disease, estimating the frequencies of NILM, CIN1, CIN2, CIN3 and ICC expected among all HIV-infected women accessing services through our programme (N=75 358) but for whom individuallevel information was not available.…”
Section: Conditional Probability Modelling To Estimate the Burden Of mentioning
confidence: 99%
“…We used the probability of NILM, ASCUS, LSIL, ASC-H, HSIL and cytology suspicious for ICC observed in our programmatic database to model the expected frequency of each Pap smear finding. We then calculated the expected number of NILM, CIN1, CIN2, CIN3 and ICC cases using the parameter estimates from our published work, [12] as described above. Sensitivity analyses were conducted to provide low and high estimates of disease burden using the lower and upper bounds of the 95% CIs for NILM, ASCUS, LSIL, ASC-H, HSIL and cytology suspicious for ICC derived from programmatic data.…”
Section: Conditional Probability Modelling To Estimate the Burden Of mentioning
confidence: 99%
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“…Factors associated with HIV infection, including the prevalence of cervical lesions, their size and character and the concomitant presence of genital infections can influence the PPV of VIA or VIA/VILI and affect the overall impact and cost of a screening programme. 10,11 In fact, a wide range of PPVs has been reported for visual screening tests performed in populations of HIV-infected women, [12][13][14] making it difficult to estimate disease prevalence and plan for the costs and resources necessary for programme implementation.…”
Section: Introductionmentioning
confidence: 99%