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A population-based observational study comparing Cervista and Hybrid Capture 2 methods: improved relative specificity of the Cervista assay by increasing its cut-off

Overview of attention for article published in BMC Infectious Diseases, December 2014
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Title
A population-based observational study comparing Cervista and Hybrid Capture 2 methods: improved relative specificity of the Cervista assay by increasing its cut-off
Published in
BMC Infectious Diseases, December 2014
DOI 10.1186/s12879-014-0674-1
Pubmed ID
Authors

Gerd Boehmer, Lisa Wang, Angelika Iftner, Barbara Holz, Juliane Haedicke, Reinhard von Wasielewski, Peter Martus, Thomas Iftner

Abstract

BackgroundHigh-risk human papillomavirus (HR HPV) testing has been shown to be a valuable tool in cervical cancer screening for the detection of cervical pre-cancer and cancer.MethodsWe report a purely observational study evaluating HR HPV prevalences in residual liquid-based cytology (LBC) samples using both the CervistaTM HPV HR Test and the Digene Hybrid Capture 2 High-Risk HPV DNA Test (HC2) in a sample of 1,741 women aged ¿30 years of a German routine screening population of 13,372 women. Test characteristics were calculated and a novel method for measuring test performances was applied by calculating ratios of sensitivity or specificity.ResultsThe overall agreement of both tests for detection of HR HPV was excellent (¿¿=¿0.8). Relative sensitivities for the detection of histologically confirmed severe cervical intraepithelial dysplasia (CIN3+) were similar for both HPV-tests, which was confirmed by the ratio analysis. However, discrepancy analysis between the Cervista HPV HR test and HC2 revealed a high false positive rate of the Cervista HPV HR test in the cytology normal category.ConclusionsPerformance of the Cervista HPV test in cervical specimens with abnormal cytology is comparable to HC2 as both tests were highly sensitive and specific for the detection of high grade cervical disease. We also demonstrate evidence that modification of the cut-off values drastically reduces the false positive rate in the cytology normal category without affecting the detection of CIN3+, which ultimately improved specificity of the Cervista HPV HR assay.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 35%
Researcher 4 13%
Student > Master 3 10%
Student > Doctoral Student 3 10%
Student > Postgraduate 2 6%
Other 3 10%
Unknown 5 16%
Readers by discipline Count As %
Medicine and Dentistry 18 58%
Business, Management and Accounting 2 6%
Agricultural and Biological Sciences 1 3%
Nursing and Health Professions 1 3%
Computer Science 1 3%
Other 3 10%
Unknown 5 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 December 2014.
All research outputs
#3,155,412
of 4,605,903 outputs
Outputs from BMC Infectious Diseases
#1,736
of 2,539 outputs
Outputs of similar age
#100,428
of 149,817 outputs
Outputs of similar age from BMC Infectious Diseases
#121
of 181 outputs
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