Evidence map›Paper›PMID 27894291›Full record

Trial reportBMC cancer2016

HPV Prevalence in the Dutch cervical cancer screening population (DuSC study): HPV testing using automated HC2, cobas and Aptima workflows.

Cornelis Johannes Jacobus Huijsmans, Willemina Rosalia Rita Geurts-Giele, Cindy Leeijen, Hendrikus Lambertus Cornelius Maria Hazenberg, Jenneke van Beek, Carola de Wild, Johannes Cornelis van der Linden, Adrianus Johannes Christiaan van den Brule

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
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  3. Comparison of the SureXFrontiers in oncology · 2025
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  5. Review
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  8. The value of p16BMC women's health · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Cornelis Johannes Jacobus HuijsmansPathologie-DNA, Location Jeroen Bosch Hospital, Henri-Dunantstraat 1, 5223 GZ, Den-Bosch, The Netherlands.
Willemina Rosalia Rita Geurts-GielePathologie-DNA, Location Jeroen Bosch Hospital, Henri-Dunantstraat 1, 5223 GZ, Den-Bosch, The Netherlands.
Cindy LeeijenPathologie-DNA, Location Jeroen Bosch Hospital, Henri-Dunantstraat 1, 5223 GZ, Den-Bosch, The Netherlands.
Hendrikus Lambertus Cornelius Maria HazenbergPathologie-DNA, Location Jeroen Bosch Hospital, Henri-Dunantstraat 1, 5223 GZ, Den-Bosch, The Netherlands.
Jenneke van BeekPathologie-DNA, Location Rijnstate Hospital, Wagnerlaan 55, 6815 AD, Arnhem, The Netherlands.
Carola de WildPathologie-DNA, Location Rijnstate Hospital, Wagnerlaan 55, 6815 AD, Arnhem, The Netherlands.
Johannes Cornelis van der LindenPathologie-DNA, Location Jeroen Bosch Hospital, Henri-Dunantstraat 1, 5223 GZ, Den-Bosch, The Netherlands.
Adrianus Johannes Christiaan van den BrulePathologie-DNA, Location Jeroen Bosch Hospital, Henri-Dunantstraat 1, 5223 GZ, Den-Bosch, The Netherlands. a.v.d.brule@jbz.nl.
Jeroen Bosch Ziekenhuis · NLRijnstate Hospital · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrimary high risk (hr)HPV screening will be introduced in The Netherlands in January 2017. Our aim was to determine the hrHPV prevalence in the Dutch cervical cancer screening population (DuSC study).

methodsA total of 12,113 residual PreservCyt cervical samples from the Dutch population based cytology screening program were rendered anonymous, randomized and tested for hrHPV using 3 HPV assays on their respective automated platforms: QIAGEN's digene® HC2 HPV DNA Test® (HC2, signal amplification), Roche Cobas® HPV test (DNA amplification) and Hologic Aptima® HPV Test (RNA amplification). To determine the agreement between results generated using the different assays, pair wise comparison of the systems was performed by determining kappa coefficients.

resultsThe selected samples were representative for the population based screening program with respect to age distribution and cytology classification. HrHPV prevalences found were: 8.5% for HC2 (n = 959), 8.1% for cobas (n = 919) and 7.5% for Aptima (n = 849), resulting in a mean hrHPV prevalence of 8.0 ± 0.5%. Although the hrHPV prevalences of the different assays are in the range of 8%, there was a significant difference in prevalence for the HC2 vs. Aptima assay (p-value = 0.007). A clear age dependency was found, with an hrHPV prevalence ranging from 18.7 ± 1.2% in women 29-33 years of age to 4.2 ± 0.2% in women 59-63 years of age. Furthermore, a correlation between hrHPV prevalence and severity of cytology was observed, ranging from 5.5 ± 0.4% in normal cytology to 95.2 ± 1.7% in severe dysplasia. Indeed, kappa coefficients of 0.77, 0.71 and 0.72 (HC2 vs cobas, cobas vs Aptima and Aptima vs HC2, respectively) indicated substantial agreement between the results generated by the different systems. However, looking at the hrHPV positive samples, only 48% of the samples tested positive with all 3 assays.

conclusionsA hrHPV prevalence of 8% was found in this unselected population based screening cohort independently of using HC2, Aptima or cobas. This prevalence is higher than the previously reported 4-5% (POBASCAM and VUSA-Screen trials). Furthermore, the complete automated hrHPV detection workflow solutions from QIAGEN, Roche, and Hologic were successfully used and will be valuable for reliably implementing high throughput hrHPV testing in cervical cancer screening.

Indexed as

AdultColposcopyCytodiagnosisDNA, ViralEarly Detection of CancerFemaleFollow-Up StudiesHumansMiddle AgedMolecular Diagnostic TechniquesNeoplasm StagingNetherlandsNucleic Acid HybridizationPapillomaviridaePapillomavirus InfectionsPrevalenceDNA, ViralCervical cancerHigh risk human papillomavirushrHPV prevalencePopulation screening

Identifiers

PMID27894291
PMCPMC5127037
OpenAlexW2558603093

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.