Literature DB >> 10819705

Accuracy of the Papanicolaou test in screening for and follow-up of cervical cytologic abnormalities: a systematic review.

K Nanda1, D C McCrory, E R Myers, L A Bastian, V Hasselblad, J D Hickey, D B Matchar.   

Abstract

PURPOSE: To evaluate the accuracy of conventional and new methods of Papanicolaou (Pap) testing when used to detect cervical cancer and its precursors. DATA SOURCES: Systematic search of English-language literature through October 1999 using MEDLINE, EMBASE, other computerized databases, and hand searching. STUDY SELECTION: All studies that compared Pap testing (conventional methods, computer screening or rescreening, or monolayer cytology) with a concurrent reference standard (histologic examination, colposcopy, or cytology). DATA EXTRACTION: Two reviewers independently reviewed selection criteria and completed 2 x 2 tables for each study. DATA SYNTHESIS: 94 studies of the conventional Pap test and three studies of monolayer cytology met inclusion criteria. No studies of computerized screening were included. Data were organized by cytologic and histologic thresholds used to define disease. For conventional Pap tests, estimates of sensitivity and specificity varied greatly in individual studies. Methodologic quality and frequency of histologic abnormalities also varied greatly between studies. In the 12 studies with the least biased estimates, sensitivity ranged from 30% to 87% and specificity ranged from 86% to 100%.
CONCLUSIONS: Insufficient high-quality data exist to estimate test operating characteristics of new cytologic methods for cervical screening. Future studies of these technologies should apply adequate reference standards. Most studies of the conventional Pap test are severely biased: The best estimates suggest that it is only moderately accurate and does not achieve concurrently high sensitivity and specificity. Cost-effectiveness models of cervical cancer screening should use more conservative estimates of Pap test sensitivity.

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Year:  2000        PMID: 10819705     DOI: 10.7326/0003-4819-132-10-200005160-00009

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  192 in total

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Journal:  CMAJ       Date:  2002-03-05       Impact factor: 8.262

2.  Patterns of cellular and HPV 16 methylation as biomarkers for cervical neoplasia.

Authors:  Divya A Patel; Laura S Rozek; Justin A Colacino; Adrienne Van Zomeren-Dohm; Mack T Ruffin; Elizabeth R Unger; Dana C Dolinoy; David C Swan; Juanita Onyekwuluje; Cecilia R DeGraffinreid; Electra D Paskett
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Review 3.  How can we develop a cost-effective quality cervical screening programme?

Authors:  Sue Wilson; Helen Lester
Journal:  Br J Gen Pract       Date:  2002-06       Impact factor: 5.386

4.  Epidemiological aspects of cancer screening in Germany.

Authors:  Nikolaus Becker
Journal:  J Cancer Res Clin Oncol       Date:  2003-10-14       Impact factor: 4.553

5.  Competency-based learning: the impact of targeted resident education and feedback on Pap smear adequacy rates.

Authors:  Raquel S Watkins; William P Moran
Journal:  J Gen Intern Med       Date:  2004-05       Impact factor: 5.128

6.  Calibration of complex models through Bayesian evidence synthesis: a demonstration and tutorial.

Authors:  Christopher H Jackson; Mark Jit; Linda D Sharples; Daniela De Angelis
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Review 7.  Human papillomavirus and cervical cancer: biomarkers for improved prevention efforts.

Authors:  Vikrant V Sahasrabuddhe; Patricia Luhn; Nicolas Wentzensen
Journal:  Future Microbiol       Date:  2011-09       Impact factor: 3.165

8.  Lifetime effects, costs, and cost effectiveness of testing for human papillomavirus to manage low grade cytological abnormalities: results of the NHS pilot studies.

Authors:  Rosa Legood; Alastair Gray; Jane Wolstenholme; Sue Moss
Journal:  BMJ       Date:  2006-01-06

9.  Effect of hormonal variation on Raman spectra for cervical disease detection.

Authors:  Elizabeth M Kanter; Shovan Majumder; Gary J Kanter; Emily M Woeste; Anita Mahadevan-Jansen
Journal:  Am J Obstet Gynecol       Date:  2009-02-23       Impact factor: 8.661

10.  Quantitative DNA methylation analysis of paired box gene 1 and LIM homeobox transcription factor 1 α genes in cervical cancer.

Authors:  Ling Xu; Jun Xu; Zheng Hu; Baohua Yang; Lifeng Wang; Xiao Lin; Ziyin Xia; Zhiling Zhang; Yunheng Zhu
Journal:  Oncol Lett       Date:  2018-01-26       Impact factor: 2.967

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