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Human papillomavirus testing in primary cervical screening.

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Title: Human papillomavirus testing in primary cervical screening.
Authors: Cuzick J (AUTHOR), Szarewski A (AUTHOR), Terry G (AUTHOR), Ho L (AUTHOR), Hanby A (AUTHOR), Maddox P (AUTHOR), Anderson M (AUTHOR), Kocjan G (AUTHOR), Steele ST (AUTHOR), Guillebaud J (AUTHOR), Cuzick, J (AUTHOR), Szarewski, A (AUTHOR), Terry, G (AUTHOR), Ho, L (AUTHOR), Hanby, A (AUTHOR), Maddox, P (AUTHOR), Anderson, M (AUTHOR), Kocjan, G (AUTHOR), Steele, S T (AUTHOR), Guillebaud, J (AUTHOR)
Source: Lancet. 6/17/1995, Vol. 345 Issue 8964, p1533-1536. 4p.
Abstract: Several studies have examined the role of tests for human papillomavirus (HPV) in screening for cervical cancer but as yet the relevance is unclear. We looked at HPV testing for types 16, 18, 31, and 33 on material taken at the time of a cervical smear in 2009 eligible women having routine screening. Women with any degree of dyskaryosis or high levels of one of these HPV types were referred for colposcopy. 44% of the cervical intraepithelial neoplasia (CIN) lesions of grade 2/3 detected had negative cytology and were found only by HPV testing. A further 22% of the CIN 2/3 lesions were positive for HPV but showed only borderline or mild cytological changes. The positive predictive value of HPV testing was 42%, which was similar to that for moderate dyskaryosis. HPV types 16 and 31 were more sensitive and specific for CIN 2/3 than were types 18 or 33. However, 25% of the CIN 2/3 lesions were not detected by these four HPV tests. We suggest that HPV testing could usefully augment but not replace conventional cytology. These results should stimulate a much larger randomised trial to assess the impact of these improved CIN 2/3 detection rates on the subsequent incidence of invasive cancer. [ABSTRACT FROM AUTHOR]
Copyright of Lancet is the property of Lancet and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Human papillomavirus testing in primary cervical screening.
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  Data: <searchLink fieldCode="JN" term="%22Lancet%22">Lancet</searchLink>. 6/17/1995, Vol. 345 Issue 8964, p1533-1536. 4p.
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  Data: Several studies have examined the role of tests for human papillomavirus (HPV) in screening for cervical cancer but as yet the relevance is unclear. We looked at HPV testing for types 16, 18, 31, and 33 on material taken at the time of a cervical smear in 2009 eligible women having routine screening. Women with any degree of dyskaryosis or high levels of one of these HPV types were referred for colposcopy. 44% of the cervical intraepithelial neoplasia (CIN) lesions of grade 2/3 detected had negative cytology and were found only by HPV testing. A further 22% of the CIN 2/3 lesions were positive for HPV but showed only borderline or mild cytological changes. The positive predictive value of HPV testing was 42%, which was similar to that for moderate dyskaryosis. HPV types 16 and 31 were more sensitive and specific for CIN 2/3 than were types 18 or 33. However, 25% of the CIN 2/3 lesions were not detected by these four HPV tests. We suggest that HPV testing could usefully augment but not replace conventional cytology. These results should stimulate a much larger randomised trial to assess the impact of these improved CIN 2/3 detection rates on the subsequent incidence of invasive cancer. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Lancet is the property of Lancet and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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