Protocol for a systematic review and meta-analysis of the diagnostic test accuracy of host and HPV DNA methylation in cervical cancer screening and management.
Humans
Female
Uterine Cervical Neoplasms
/ prevention & control
Early Detection of Cancer
/ methods
DNA Methylation
Papillomavirus Infections
/ epidemiology
Systematic Reviews as Topic
Meta-Analysis as Topic
Uterine Cervical Dysplasia
/ diagnosis
Sensitivity and Specificity
DNA
Diagnostic Tests, Routine
cancer genetics
colposcopy
gynaecological oncology
oncology
Journal
BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874
Informations de publication
Date de publication:
05 06 2023
05 06 2023
Historique:
medline:
7
6
2023
pubmed:
6
6
2023
entrez:
5
6
2023
Statut:
epublish
Résumé
Human papillomavirus (HPV) is necessary but not sufficient for cervical cancer development. During cervical carcinogenesis, methylation levels increase across host and HPV DNA. DNA methylation has been proposed as a test to diagnose cervical intraepithelial neoplasia (CIN); we present a protocol to evaluate the accuracy of methylation markers to detect high-grade CIN and cervical cancer. We will search electronic databases (Medline, Embase and Cochrane Library), from inception, to identify studies examining DNA methylation as a diagnostic marker for CIN or cervical cancer, in a cervical screening population. The primary outcome will be to assess the diagnostic test accuracy of host and HPV DNA methylation for high-grade CIN; the secondary outcomes will be to examine the accuracy of different methylation cut-off thresholds, and accuracy in high-risk HPV positive women. Our reference standard will be histology. We will perform meta-analyses using Cochrane guidelines for diagnostic test accuracy. We will use the number of true positives, false negatives, true negatives and false positives from individual studies. We will use the bivariate mixed effect model to estimate sensitivity and specificity with 95% CIs; we will employ different bivariate models to estimate sensitivity and specificity at different thresholds if sufficient data per threshold. For insufficient data, the hierarchical summary receiver operating curve model will be used to calculate a summary curve across thresholds. If there is interstudy and intrastudy variation in thresholds, we will use a linear mixed effects model to calculate the optimum threshold. If few studies are available, we will simplify models by assuming no correlation between sensitivity and specificity and perform univariate, random-effects meta-analysis. We will assess the quality of studies using QUADAS-2 and QUADAS-C. Ethical approval is not required. Results will be disseminated to academic beneficiaries, medical practitioners, patients and the public. CRD42022299760.
Identifiants
pubmed: 37277222
pii: bmjopen-2022-071534
doi: 10.1136/bmjopen-2022-071534
pmc: PMC10254594
doi:
Substances chimiques
DNA
9007-49-2
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e071534Subventions
Organisme : Wellcome Trust
ID : P77712
Pays : United Kingdom
Informations de copyright
© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ.
Déclaration de conflit d'intérêts
Competing interests: None declared.
Références
Cell Rep. 2018 Oct 23;25(4):1066-1080.e8
pubmed: 30355485
Arch Public Health. 2022 Mar 29;80(1):95
pubmed: 35351195
BMJ. 2015 Jan 02;350:g7647
pubmed: 25555855
J Infect Dis. 2017 Mar 1;215(5):764-771
pubmed: 28170039
J Clin Epidemiol. 2005 Oct;58(10):982-90
pubmed: 16168343
Vaccine. 2006 Aug 31;24 Suppl 3:S3/63-70
pubmed: 16950019
BJOG. 2021 Feb;128(3):504-514
pubmed: 32619334
Stat Methods Med Res. 2017 Aug;26(4):1896-1911
pubmed: 26116616
Lancet Public Health. 2017 Feb;2(2):e96-e107
pubmed: 29253402
Eur J Cancer. 2020 Mar;127:207-223
pubmed: 31980322
Evid Based Ment Health. 2019 Nov;22(4):153-160
pubmed: 31563865
Int J Cancer. 2018 Aug 15;143(4):735-745
pubmed: 29341110
Viruses. 2017 Aug 18;9(8):
pubmed: 28820433
Cochrane Database Syst Rev. 2017 Aug 10;8:CD008587
pubmed: 28796882
EBioMedicine. 2019 Dec;50:246-259
pubmed: 31732479
Ann Intern Med. 2011 Oct 18;155(8):529-36
pubmed: 22007046
Cancer J. 2017 Sep/Oct;23(5):257-261
pubmed: 28926425
Lancet Oncol. 2009 Apr;10(4):321-2
pubmed: 19350698
Br J Cancer. 2019 Nov;121(11):954-965
pubmed: 31616037
Nat Biotechnol. 2016 Jul;34(7):726-37
pubmed: 27347756
Lancet Oncol. 2014 Feb;15(2):172-83
pubmed: 24433684
Ann Intern Med. 2013 Apr 2;158(7):544-54
pubmed: 23546566
Lancet Glob Health. 2020 Feb;8(2):e191-e203
pubmed: 31812369
Lancet. 2014 Feb 8;383(9916):524-32
pubmed: 24192252
Vaccine. 2012 Nov 20;30 Suppl 5:F88-99
pubmed: 23199969
BMC Med Res Methodol. 2016 Aug 12;16(1):97
pubmed: 27520527
Int J Cancer. 2014 Apr 15;134(8):1835-43
pubmed: 24122508
BMJ. 2019 Feb 6;364:l240
pubmed: 30728133
Sex Transm Dis. 2014 Nov;41(11):660-4
pubmed: 25299412
Ann Intern Med. 2021 Nov;174(11):1592-1599
pubmed: 34698503
Stat Med. 2001 Oct 15;20(19):2865-84
pubmed: 11568945
Acta Cytol. 2016;60(6):501-512
pubmed: 27806357