Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/62192

Registo completo
Campo DCValorIdioma
dc.contributor.authorSyrjänen, Stinapor
dc.contributor.authorLonghato, Adhemarpor
dc.contributor.authorSarian, Luis O.por
dc.contributor.authorNaud, Paulopor
dc.contributor.authorDerchain, Sophiepor
dc.contributor.authorRottelli-Martins, Ceciliapor
dc.contributor.authorTatti, Silviopor
dc.contributor.authorBranca, Margheritapor
dc.contributor.authorEržen, Mojcapor
dc.contributor.authorHammes, Luciano S.por
dc.contributor.authorMatos, Jeanpor
dc.contributor.authorGontijo, Renatapor
dc.contributor.authorBragança, Joanapor
dc.contributor.authorArlindo, Francisco C.por
dc.contributor.authorMaeda, Mariana Y. S.por
dc.contributor.authorCosta, Silvanopor
dc.contributor.authorSyrjänen, Karipor
dc.date.accessioned2019-11-18T15:12:21Z-
dc.date.issued2013-07-
dc.identifier.citationSyrjänen, S., Longhato-Filho, A., Sarian, L. O., et. al. (2013). Competing-risks regression models in analysis of biomarkers as predictors of high-risk human papillomavirus (HPV) infection outcomes and incident CIN in the LAMS cohort. International Journal of Gynecological Pathology, 32(4), 406-415.por
dc.identifier.issn0277-1691-
dc.identifier.urihttps://hdl.handle.net/1822/62192-
dc.description.abstractTo assess the prediction potential of a 5-biomarker panel for detecting high-risk human papillomavirus (HR-HPV) infections and/or cervical intraepithelial neoplasia (CIN) progression. Five biomarkers, lipocalin, plasminogen activator inhibitor-2, p300, interleukin-10, and stratifin, were assessed in cervical biopsies from 225 women of the Latin American Screening Study. Competing-risks regression models were constructed to assess their predictive power for (i) HR-HPV outcomes (negative, transient, or persistent infection) and (ii) CIN outcomes (no progression, incident CIN1, CIN2, or CIN3). p300, LCN2, stratifin were significantly associated with prevalent HR-HPV but lost their significance in multivariate analysis. In the multivariate model, only p300 was an independent predictor of CIN3 (odds ratio=2.63; 95% confidence interval, 1.05-6.61; P=0.039). In univariate competing-risks regression, lipocalin predicted permanent HR-HPV-negative status, but in the multivariate model, IL-10 emerged as a independent predictor of HPV-negative status (subhazard ratio=4.04; 95% confidence interval, 1.81-9.01; P=0.001). The clinical value of the panel in predicting longitudinal outcomes of HR-HPV infection and/or incident CIN is limited.por
dc.description.sponsorshipSupported by the European Commission, INCO-DEV Programme (Contract# ICA4-CT-2001-10013).por
dc.language.isoengpor
dc.publisherLippincott, Williams & Wilkinspor
dc.rightsclosedAccesspor
dc.subject14-3-3 Proteinspor
dc.subjectBiomarkerspor
dc.subjectBiomarkers, Tumorpor
dc.subjectCervical Intraepithelial Neoplasiapor
dc.subjectCervix Uteripor
dc.subjectCohort Studiespor
dc.subjectDNA, Viralpor
dc.subjectDisease Progressionpor
dc.subjectE1A-Associated p300 Proteinpor
dc.subjectExoribonucleasespor
dc.subjectFemalepor
dc.subjectHumanspor
dc.subjectInterleukin-10por
dc.subjectLipocalinspor
dc.subjectLongitudinal Studiespor
dc.subjectMultivariate Analysispor
dc.subjectPapillomaviridaepor
dc.subjectPapillomavirus Infectionspor
dc.subjectPredictive Value of Testspor
dc.subjectPrognosispor
dc.subjectProspective Studiespor
dc.subjectSerpinspor
dc.subjectUterine Cervical Neoplasmspor
dc.subjectHigh-risk HPVpor
dc.subjectIncident CINpor
dc.subjectViral outcomespor
dc.subjectLipocalinpor
dc.subjectPAI-2 (Serpin-B2)por
dc.subjectp300por
dc.subjectIL-10por
dc.subjectStratifin (14-3-3)por
dc.subjectCompeting-risks regressionpor
dc.subjectPredictorspor
dc.subjectLongitudinal settingpor
dc.subjectLongitudinal settingHigh-risk HPVpor
dc.subjectStratifin (14-3-3s)por
dc.titleCompeting-risks regression models in analysis of biomarkers as predictors of high-risk human papillomavirus (HPV) infection outcomes and incident CIN in the LAMS cohortpor
dc.typearticlepor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://journals.lww.com/intjgynpathology/Abstract/2013/07000/Competing_Risks_Regression_Models_in_Analysis_of.10.aspxpor
oaire.citationStartPage406por
oaire.citationEndPage415por
oaire.citationIssue4por
oaire.citationVolume32por
dc.identifier.eissn1538-7151-
dc.identifier.doi10.1097/PGP.0b013e31826739b1por
dc.date.embargo10000-01-01-
dc.identifier.pmid23722514por
dc.subject.fosCiências Médicas::Medicina Básicapor
dc.subject.wosScience & Technologypor
sdum.journalInternational Journal of Gynecological Pathologypor
Aparece nas coleções:ICVS - Artigos em revistas internacionais / Papers in international journals

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
10.1097@PGP.0b013e31826739b1.pdf
Acesso restrito!
151,46 kBAdobe PDFVer/Abrir

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID