A Randomized Comparison of Different Vaginal Self-sampling Devices and Urine for Human Papillomavirus Testing-Predictors 5.1.


Journal

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
ISSN: 1538-7755
Titre abrégé: Cancer Epidemiol Biomarkers Prev
Pays: United States
ID NLM: 9200608

Informations de publication

Date de publication:
04 2021
Historique:
received: 20 08 2020
revised: 17 11 2020
accepted: 26 01 2021
pubmed: 31 1 2021
medline: 11 1 2022
entrez: 30 1 2021
Statut: ppublish

Résumé

Human papillomavirus (HPV)-based screening is rapidly replacing cytology as the cervical screening modality of choice. In addition to being more sensitive than cytology, it can be done on self-collected vaginal or urine samples. This study will compare the high-risk HPV positivity rates and sensitivity of self-collected vaginal samples using four different collection devices and a urine sample. A total of 620 women referred for colposcopy were invited to provide an initial stream urine sample collected with the Colli-Pee device and take two vaginal self-samples, using either a dry flocked swab (DF) and a wet dacron swab (WD), or a HerSwab (HS) and Qvintip (QT) device. HPV testing was performed by the BD Onclarity HPV Assay. A total of 600 vaginal sample pairs were suitable for analysis, and 505 were accompanied by a urine sample. Similar positivity rates and sensitivities for CIN2+ and CIN3+ were seen for DF, WD, and urine, but lower values were seen for QT and HS. No clear user preferences were seen between devices, but women found urine easiest to collect, and were more confident they had taken the sample correctly. The lowest confidence in collection was reported for HS. Urine, a DF swab, and WD swab all performed well and were well received by the women, whereas the Qvintip and HerSwab devices were less satisfactory. This is the first study to compare five self-sampling methods in the same women taken at the same time. It supports wider use of urine or vaginal self-sampling for cervical screening.

Sections du résumé

BACKGROUND
Human papillomavirus (HPV)-based screening is rapidly replacing cytology as the cervical screening modality of choice. In addition to being more sensitive than cytology, it can be done on self-collected vaginal or urine samples. This study will compare the high-risk HPV positivity rates and sensitivity of self-collected vaginal samples using four different collection devices and a urine sample.
METHODS
A total of 620 women referred for colposcopy were invited to provide an initial stream urine sample collected with the Colli-Pee device and take two vaginal self-samples, using either a dry flocked swab (DF) and a wet dacron swab (WD), or a HerSwab (HS) and Qvintip (QT) device. HPV testing was performed by the BD Onclarity HPV Assay.
RESULTS
A total of 600 vaginal sample pairs were suitable for analysis, and 505 were accompanied by a urine sample. Similar positivity rates and sensitivities for CIN2+ and CIN3+ were seen for DF, WD, and urine, but lower values were seen for QT and HS. No clear user preferences were seen between devices, but women found urine easiest to collect, and were more confident they had taken the sample correctly. The lowest confidence in collection was reported for HS.
CONCLUSIONS
Urine, a DF swab, and WD swab all performed well and were well received by the women, whereas the Qvintip and HerSwab devices were less satisfactory.
IMPACT
This is the first study to compare five self-sampling methods in the same women taken at the same time. It supports wider use of urine or vaginal self-sampling for cervical screening.

Identifiants

pubmed: 33514604
pii: 1055-9965.EPI-20-1226
doi: 10.1158/1055-9965.EPI-20-1226
pmc: PMC7611176
mid: EMS128696
doi:

Types de publication

Comparative Study Journal Article Randomized Controlled Trial Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

661-668

Subventions

Organisme : Cancer Research UK
ID : A16891
Pays : United Kingdom

Informations de copyright

©2021 American Association for Cancer Research.

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Auteurs

Louise Cadman (L)

Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, United Kingdom.

Caroline Reuter (C)

Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, United Kingdom.

Mark Jitlal (M)

Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, United Kingdom.

Michelle Kleeman (M)

Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, United Kingdom.
NIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College, London, United Kingdom.

Janet Austin (J)

Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, United Kingdom.

Tony Hollingworth (T)

Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, United Kingdom.

Anna L Parberry (AL)

Colposcopy Department, Royal London Hospital, London, United Kingdom.

Lesley Ashdown-Barr (L)

Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, United Kingdom.

Deepali Patel (D)

Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, United Kingdom.
NIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College, London, United Kingdom.

Belinda Nedjai (B)

Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, United Kingdom.

Attila T Lorincz (AT)

Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, United Kingdom.

Jack Cuzick (J)

Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, United Kingdom. j.cuzick@qmul.ac.uk.

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Classifications MeSH