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Our aim was to examine the risk of cervical intraepithelial neoplasia grade 3 or worse (CIN3+) after persistence of 13 individual oncogenic HPV types. Liquid\u2010based cervical samples (n = 40,399) collected in 2002\u20132005 were tested for HPV by hybrid capture 2 and genotyped with INNO\u2010LiPAv2. Persistence was defined as having the same genotype twice 1\u20134.5 years apart. The absolute risk of CIN3+ was estimated by the Aalen\u2010Johansen estimator and Cox proportional hazard regression was used to compare the rates of CIN3+ according to HPV type adjusting for age and time between HPV tests. Of 2,875 oncogenic HPV\u2010positive women, 874 had persistence of one or more types and 761 persisted for one oncogenic HPV type only. Persistent HPV16 infection was associated with the highest risk of CIN3+, with an 8\u2010year absolute risk of 55% (95% CI: 45%\u201366%), followed by HPV33 (33% (95% CI: 20%\u201350%)), HPV18 (32% (95% CI: 20%\u201348%)) and HPV31 (31% (95% CI: 21%\u201346%)). Other HPV types, including HPV52 and HPV45, were also associated with high risks. Persistent HPV56 had the lowest 8\u2010year absolute risk of CIN3+ (3% (95% CI: 0.4%\u201320%)). In Cox analyses, a similar pattern remained after adjustment for age and time between tests. Our results add knowledge about the varying carcinogenic potential of individual persistent oncogenic HPV types, which may have implications for the clinical use of HPV testing.<\/jats:p>","DOI":"10.1002\/ijc.31883","type":"journal-article","created":{"date-parts":[[2018,9,24]],"date-time":"2018-09-24T05:27:04Z","timestamp":1537766824000},"page":"1975-1982","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":58,"title":["Risk of CIN3 or worse with persistence of 13 individual oncogenic HPV types"],"prefix":"10.1002","volume":"144","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4899-8557","authenticated-orcid":false,"given":"Freja L\u00e6rke","family":"Sand","sequence":"first","affiliation":[{"name":"Unit of Virus, Lifestyle and Genes Danish Cancer Society Research Center  Copenhagen Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christian","family":"Munk","sequence":"additional","affiliation":[{"name":"Unit of Virus, Lifestyle and Genes Danish Cancer Society Research Center  Copenhagen Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kirsten","family":"Frederiksen","sequence":"additional","affiliation":[{"name":"Unit of Statistics and Pharmacoepidemiology Danish Cancer Society Research Center  Copenhagen Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jette","family":"Junge","sequence":"additional","affiliation":[{"name":"Department of Pathology Hvidovre Hospital  Hvidovre Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5929-7078","authenticated-orcid":false,"given":"Thomas","family":"Iftner","sequence":"additional","affiliation":[{"name":"Department of Medical Virology University Hospital T\u00fcbingen  T\u00fcbingen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christian","family":"Dehlendorff","sequence":"additional","affiliation":[{"name":"Unit of Statistics and Pharmacoepidemiology Danish Cancer Society Research Center  Copenhagen Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susanne K.","family":"Kjaer","sequence":"additional","affiliation":[{"name":"Unit of Virus, Lifestyle and Genes Danish Cancer Society Research Center  Copenhagen Denmark"},{"name":"Department of Gynecology Rigshospitalet, University of Copenhagen  Copenhagen Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2019,1,10]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1093\/aje\/kwn036"},{"key":"e_1_2_6_3_1","first-page":"1","volume":"90","author":"Human papillomaviruses","year":"2007","journal-title":"IARC Monogr Eval Carcinog Risks Hum"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/djq356"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/djr283"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajog.2016.10.042"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/ijc.29971"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.b2569"},{"key":"e_1_2_6_9_1","doi-asserted-by":"publisher","DOI":"10.1097\/CEJ.0b013e328324061a"},{"key":"e_1_2_6_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10552-013-0320-z"},{"key":"e_1_2_6_11_1","doi-asserted-by":"publisher","DOI":"10.1097\/AOG.0000000000000056"},{"key":"e_1_2_6_12_1","doi-asserted-by":"publisher","DOI":"10.1002\/ijc.23712"},{"key":"e_1_2_6_13_1","doi-asserted-by":"publisher","DOI":"10.1002\/ijc.29719"},{"key":"e_1_2_6_14_1","doi-asserted-by":"publisher","DOI":"10.1002\/ijc.27828"},{"key":"e_1_2_6_15_1","doi-asserted-by":"publisher","DOI":"10.1177\/1403494810387965"},{"key":"e_1_2_6_16_1","doi-asserted-by":"publisher","DOI":"10.1177\/1403494810393563"},{"key":"e_1_2_6_17_1","first-page":"141","article-title":"Empirical transition matrix for non\u2010homogenous Markov\u2010chains based on censored observations","volume":"5","author":"Aalen O","year":"1978","journal-title":"Scand J Stat"},{"key":"e_1_2_6_18_1","volume-title":"R: a language and enviroment for statistical computing","author":"R Core Team","year":"2016"},{"key":"e_1_2_6_19_1","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v038.i04"},{"key":"e_1_2_6_20_1","volume-title":"Modeling survival data: extending the cox model","author":"Terry T","year":"2000"},{"key":"e_1_2_6_21_1","doi-asserted-by":"publisher","DOI":"10.1002\/ijc.27485"},{"key":"e_1_2_6_22_1","unstructured":"European Medicines Agency. 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