Literature DB >> 1994641

The validation of cervical cytology. Sensitivity, specificity and predictive values.

H J Soost1, H J Lange, W Lehmacher, B Ruffing-Kullmann.   

Abstract

Statistics and methods for the validation of the results of cytologic screening for cervical cancer and its precursors were examined. Many of the methods commonly used, including the calculation of sensitivity and specificity on raw data, contain flaws that undermine their conclusions. Using a large computerized database of 748,871 cytologic screenings of 277,842 women over a ten-year period, the value of screening was examined. Only subsequent histologic examinations within one year were accepted to validate positive initial cytologic diagnoses; only two subsequent cytologic screenings within the next three years were accepted to validate negative initial cytologic diagnoses that had not been followed by a histologic examination. Cases not meeting these criteria were excluded from the initial analysis. From these data, the predictive value of a negative cytologic examination was determined to be 99.8%; the predictive value of a positive cytologic examination was 73.4% for an initial diagnosis of mild-to-moderate dysplasia, 90.6% for a diagnosis of severe dysplasia/carcinoma in situ, 94.5% for a diagnosis of carcinoma in situ or microinvasive carcinoma and 95.5% for an initial diagnosis of invasive carcinoma. Cases with an initial "questionable" cytologic diagnosis had a positive predictive value of only 64.0%. Extrapolation from the validated cases to the entire screened population showed an overall sensitivity of 80% and a specificity of 99.4% for cytologic screening for cervical cancer. The sensitivity was slightly lower for mild and moderate dysplasia (78.1%) and slightly higher for carcinoma in situ and severe dysplasia (81.4%) and invasive carcinoma (82.3%).

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Year:  1991        PMID: 1994641

Source DB:  PubMed          Journal:  Acta Cytol        ISSN: 0001-5547            Impact factor:   2.319


  14 in total

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3.  Extended Human Papillomavirus Genotyping to Predict Progression to High-Grade Cervical Precancer: A Prospective Cohort Study in the Southeastern United States.

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Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2022-08-02       Impact factor: 4.090

4.  Brief screens for mental disorders in primary care.

Authors:  A C Leon; M Olfson; M M Weissman; L Portera; B H Fireman; R S Blacklow; C Hoven; W E Broadhead
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5.  Clinical usefulness of cervicogram as a primary screening test for cervical neoplasia.

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Journal:  Yonsei Med J       Date:  2005-04-30       Impact factor: 2.759

6.  Anal human papillomavirus infection is associated with HIV acquisition in men who have sex with men.

Authors:  Peter V Chin-Hong; Marla Husnik; Ross D Cranston; Grant Colfax; Susan Buchbinder; Maria Da Costa; Teresa Darragh; Dana Jones; Franklyn Judson; Beryl Koblin; Kenneth H Mayer; Joel M Palefsky
Journal:  AIDS       Date:  2009-06-01       Impact factor: 4.177

7.  Influence of age and human papillomavirus-infection on reliability of cervical cytopathology.

Authors:  C Kainz; C Tempfer; G Gitsch; H Heinzl; A Reinthaller; G Breitenecker
Journal:  Arch Gynecol Obstet       Date:  1995       Impact factor: 2.344

Review 8.  Cervical neuroendocrine tumor in a young female with Lynch Syndrome.

Authors:  Ibraheem Yousef; Fadi Siyam; Lester Layfield; Carl Freter; James R Sowers
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9.  Towards early detection of cervical cancer: Fractal dimension of AFM images of human cervical epithelial cells at different stages of progression to cancer.

Authors:  Nataliia V Guz; Maxim E Dokukin; Craig D Woodworth; Andrew Cardin; Igor Sokolov
Journal:  Nanomedicine       Date:  2015-05-08       Impact factor: 5.307

10.  p16(INK4a)/Ki-67 dual stain cytology for cervical cancer screening in Thika district, Kenya.

Authors:  Caroline Wangari Ngugi; Dietmar Schmidt; Karanja Wanyoro; Hamadi Boga; Peter Wanzala; Anne Muigai; John Mbithi; Magnus von Knebel Doeberitz; Miriam Reuschenbach
Journal:  Infect Agent Cancer       Date:  2015-08-11       Impact factor: 2.965

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