Related Experiment Video
Updated: Nov 5, 2025

Chromogenic In Situ Hybridization as a Tool for HPV-Related Head and Neck Cancer Diagnosis
Published on: June 14, 2019
The value of adding a single co-test in HPV primary screening
Lina Jans1, Karin Zetterström1, Lovisa Bergengren1
1Department of Women's Health, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Abstract:
The screening program for cervical cancer in Sweden, recommends screening with HPV test primarily for women over 30 years, but at the first screening test that is performed after the age of 40, both HPV test and cytology is recommended, so-called co-testing. The aim of this study was to examine how many cases of HPV negative cervical dysplasia that were found in this age-group, to be able to estimate the value of adding a co-test in an HPV screening program. A retrospective study of all abnormal cytological samples found in the cytology based screening program in the age group 41-45 years during the years 2012-2016 in the Region of Örebro County was performed. Out of the 10,511 women included in the study, 468 had an abnormal cytology screening test and 255/468 were HPV negative. The vast majority of the HPV negative cases had a normal cytology test as first follow-up. Of cases with remaining cytological abnormality, only four cases had histologically confirmed high-grade cervical dysplasia (CIN2) and no cases of HPV negative adenocarcinoma in situ or invasive cancer were found. Conclusion: With adding a single co-test to a HPV-based screening program, only a few extra cases of high-grade cervical dysplasia were found and the clinical significance of these cases is unclear.
More Related Videos
10:26RNAscope for In situ Detection of Transcriptionally Active Human Papillomavirus in Head and Neck Squamous Cell Carcinoma
Published on: March 11, 2014
13:41Use of Interferon-γ Enzyme-linked Immunospot Assay to Characterize Novel T-cell Epitopes of Human Papillomavirus
Published on: March 8, 2012
Related Concept Videos
P-value
P-value stands for the probability value. P-value is the probability that, if the null hypothesis is true, the results from another randomly selected sample will be as extreme or more extreme as the results obtained from the given sample.
A large P-value calculated from the data indicates to not reject the null hypothesis. But a higher P-value does not mean that the null hypothesis is true. The smaller the P-value, the more...
Odds Ratio
Bonferroni Test
The means of different samples are first paired in all possible combinations.
The null hypothesis of the...
Multiple Comparison Tests
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
Hazard Ratio
For example, in a clinical trial...
Significance Testing: Overview