Development and validation of a prognostic prediction model including the minor lymphatic pathway for distant metastases in cervical cancer patients

dc.contributor.authorThephamongkhol K.
dc.contributor.authorKorpraphong P.
dc.contributor.authorMuangsomboon K.
dc.contributor.authorSitathanee C.
dc.contributor.authorLertkhachonsuk A.a.
dc.contributor.authorPhongkitkarun S.
dc.contributor.authorSrirattanapong S.
dc.contributor.authorPrapruttam D.
dc.contributor.authorBridhikitti J.
dc.contributor.authorDendumrongsup T.
dc.contributor.authorAlisanant P.
dc.contributor.authorAmornwichet N.
dc.contributor.authorKhorprasert C.
dc.contributor.authorSasiwimonphan K.
dc.contributor.authorTanprasertkul C.
dc.contributor.authorDhanachai M.
dc.contributor.authorPatumanond J.
dc.contributor.authorSetakornnukul J.
dc.contributor.otherMahidol University
dc.date.accessioned2023-06-18T18:04:23Z
dc.date.available2023-06-18T18:04:23Z
dc.date.issued2022-12-01
dc.description.abstractTo develop and validate a prognostic model, including the minor lymphatic pathway (internal iliac and presacral nodes). Study design: Retrospective cohort. Participants: Locally advanced cervical cancer underwent concurrent chemoradiotherapy. Sample size: 397 and 384 patients in the development and validation data set. Predictors: Our new nodal staging system with the minor lymphatic pathway. Outcome: Distant metastases. Statistical analysis: Cox regression; net reclassification improvement (NRI) and decision curve analysis (DCA). Our new nodal system was the strongest predictor. The predictors in the final model were new nodal system, tumor stage, adenocarcinoma, initial hemoglobin, tumor size and age. The nodal system and the pretreatment model had concordance indices of 0.661 and 0.708, respectively, with good calibration curves. Compared to the OUTBACK eligibility criteria, the nodal system showed NRI for both cases (22%) and controls (16%). The pretreatment model showed NRI for cases (31%) and controls (18%). DCA in both models showed threshold probability of 15% and 12%, respectively, when compared with 24% in OUTBACK eligibility criteria. Our new nodal staging system and the pretreatment model could differentiate between high-risk and low-risk patients, thus facilitating decisions to provide more aggressive treatment to prevent distant metastases.
dc.identifier.citationScientific Reports Vol.12 No.1 (2022)
dc.identifier.doi10.1038/s41598-022-13616-0
dc.identifier.eissn20452322
dc.identifier.pmid35701437
dc.identifier.scopus2-s2.0-85131861168
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/86412
dc.rights.holderSCOPUS
dc.subjectMultidisciplinary
dc.titleDevelopment and validation of a prognostic prediction model including the minor lymphatic pathway for distant metastases in cervical cancer patients
dc.typeArticle
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85131861168&origin=inward
oaire.citation.issue1
oaire.citation.titleScientific Reports
oaire.citation.volume12
oairecerif.author.affiliationRamathibodi Hospital
oairecerif.author.affiliationSiriraj Hospital
oairecerif.author.affiliationFaculty of Medicine, Chiang Mai University
oairecerif.author.affiliationFaculty of Medicine, Prince of Songkia University
oairecerif.author.affiliationFaculty of Medicine, Thammasat University
oairecerif.author.affiliationFaculty of Medicine, Chulalongkorn University

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