Comparative accuracy of cervical cancer screening strategies in healthy asymptomatic women: a systematic review and network meta-analysis.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
07 01 2022
Historique:
received: 21 07 2021
accepted: 17 12 2021
entrez: 8 1 2022
pubmed: 9 1 2022
medline: 24 2 2022
Statut: epublish

Résumé

To compare all available accuracy data on screening strategies for identifying cervical intraepithelial neoplasia grade ≥ 2 in healthy asymptomatic women, we performed a systematic review and network meta-analysis. MEDLINE and EMBASE were searched up to October 2020 for paired-design studies of cytology and testing for high-risk genotypes of human papillomavirus (hrHPV). The methods used included a duplicate assessment of eligibility, double extraction of quantitative data, validity assessment, random-effects network meta-analysis of test accuracy, and GRADE rating. Twenty-seven prospective studies (185,269 subjects) were included. The combination of cytology (atypical squamous cells of undetermined significance or higher grades) and hrHPV testing (excepting genotyping for HPV 16 or 18 [HPV16/18]) with the either-positive criterion (OR rule) was the most sensitive/least specific, whereas the same combination with the both-positive criterion (AND rule) was the most specific/least sensitive. Compared with standalone cytology, non-HPV16/18 hrHPV assays were more sensitive/less specific. Two algorithms proposed for primary cytological testing or primary hrHPV testing were ranked in the middle as more sensitive/less specific than standalone cytology and the AND rule combinations but more specific/less sensitive than standalone hrHPV testing and the OR rule combination. Further research is needed to assess these results in population-relevant outcomes at the program level.

Identifiants

pubmed: 34997127
doi: 10.1038/s41598-021-04201-y
pii: 10.1038/s41598-021-04201-y
pmc: PMC8741996
doi:

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

94

Subventions

Organisme : National Cancer Center
ID : 26-A-30
Organisme : National Cancer Center
ID : 29-A-16
Organisme : Ministry of Education, Culture, Sports, Science and Technology
ID : 26460755

Informations de copyright

© 2022. The Author(s).

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Auteurs

Teruhiko Terasawa (T)

Section of General Internal Medicine, Department of Emergency and General Internal Medicine, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukakecho, Toyoake, Aichi, 470-1192, Japan. terasawa@fujita-hu.ac.jp.

Satoyo Hosono (S)

Division of Cancer Screening Assessment and Management, Center for Public Health Science, National Cancer Center, Tokyo, Japan.

Seiju Sasaki (S)

Center for Preventive Medicine, St. Luke's International Hospital Affiliated Clinic, Tokyo, Japan.

Keika Hoshi (K)

Center for Public Health Informatics, National Institute of Public Health, Wako, Japan.

Yuri Hamashima (Y)

Department of Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK.

Takafumi Katayama (T)

Department of Statistics and Computer Science, College of Nursing Art and Science, University of Hyogo, Hyogo, Japan.

Chisato Hamashima (C)

Department of Nursing, Faculty of Medical Technology, Teikyo University, Tokyo, Japan.

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Classifications MeSH