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NCT05578833: LIBUSE

Algorithm for Cervix Carcinoma Screening in CZ Using the Detection of HPV DNA and CINtec Plus

Completed Last updated 13 October 2022
What this trial tests

trial testing HPV DNA test with selective HPV 16/18 genotyping (cobas® 4800 HPV Test, Roche) in Algorithm for Cervix Carcinoma Screening in 2,426 participants. Completed in 30 September 2021.

Timeline
1 September 2017
Primary endpoint
20 April 2018
30 September 2021

Quick facts

Lead sponsorAeskuLab Pathology Prague
StatusCompleted
Study typeOBSERVATIONAL
Enrollment2,426
Start date1 September 2017
Primary completion20 April 2018
Estimated completion30 September 2021
Sites1 location across Czechia

Drugs / interventions tested

Conditions studied

Sponsor

AeskuLab Pathology Prague

Who can join

Adults 30 to 60, female only, with Algorithm for Cervix Carcinoma Screening. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Cervix carcinoma has been a serious, long-term issue in the Czech Republic. The cause of nearly all cervix carcinomas is human papilomavirus (HPV). Hence the detection of the HPV genome is a more prospective screening tool with higher sensitivity than a cytological swab. As shown by comparative studies, the sensitivity of the HPV DNA test in the detection of severe pre-cancer is 35% higher on average when compared to the cytological test. The study repeatedly determined the presence of the HPV genome, including the prevalence of selected HPV genotypes (16, 18 and other hrHPV) and conventional cytology. The relative sensitivity of the two methods was specified. In the course of the prospective follow-up, the incidence of pre-cancers and invasive tumours in the study population were specified.

Publications & conference data

1 peer-reviewed publication reference this trial (live from Europe PMC):

  1. Is phased implementation of HPV testing and triage with dual staining the way to transform organized cytology screening?
    Sláma J, Dvořák V, Trnková M, Skřivánek A, et al · · 2024 · PMID 37751376 · DOI 10.1097/cej.0000000000000844

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