Assessment of death risk of breast cancer patients with joint frailty models

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dc.authoridRian Dişçi / 0000-0002-5569-0913
dc.authorscopusidRian Dişçi / 6603606925
dc.authorwosidRian Dişçi / ABG-2356-2021
dc.contributor.authorPasin, Özge
dc.contributor.authorDirican, Ahmet
dc.contributor.authorAnkarali, Handan
dc.contributor.authorDişçi, Rian
dc.contributor.authorKaranlık, Hasan
dc.date.accessioned2020-11-18T08:41:07Z
dc.date.available2020-11-18T08:41:07Z
dc.date.issued2020en_US
dc.departmentİstinye Üniversitesi, Tıp Fakültesi, Temel Tıp Bilimleri Bölümüen_US
dc.description.abstractObjectives: To investigate the effects of risk factors on recurrence and death in breast cancer patients, taking into account the dependence between recurrence and death as well as the heterogeneity among individuals. The other aim of this study was to make predictions of death risks with a dynamic model that includes patient's history and different horizons. Methods: The data of 465 patients who had undergone surgery at the Istanbul University Oncology Institute, Istanbul, Turkey, between 2009 and 2016 were used. For data analysis in this retrospective study, the authors applied the joint frailty model, and the predictions were obtained using dynamic prediction methods that consider the patient's history. The Brier score was used to evaluate the accuracy of the estimations. Results: A positive relationship was found between recurrence and death, and heterogeneity was found among patients (p<0.001, p=1.008, p=2.945). The effects of Cerb-B2, tumor type, remaining lymph nodes, neoadjuvant chemotherapy, and surgery type were statistically significant for death and recurrence (p<0.05, relative risk [death, recurrence] = [2.5, 11.86], [2.065, 2.798], [1.852, 3.113], [4.211, 9.366], [1.521,1.991]). The Brier score values used in the evaluation of the predictions obtained by the dynamic prediction methods were found to be below 0.30. Conclusion: The use of joint frailty models is recommended for the detection of heterogeneity effects and dependence between recurrence and death. Through models in survival analysis, researchers can obtain more accurate parameter estimates. A significant variance of frailty indicates different death risks for the same characteristics.en_US
dc.identifier.citationOzge, P., Ahmet, D., Handan, A., Rian, D., & Hasan, K. (2020). Assessment of death risk of breast cancer patients with joint frailty models. Saudi Medical Journal, 41(5), 491-498.en_US
dc.identifier.doi10.15537/smj.2020.5.25065en_US
dc.identifier.endpage498en_US
dc.identifier.issn0379-5284en_US
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-85084329289en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage491en_US
dc.identifier.urihttps://doi.org/ 10.15537/smj.2020.5.25065
dc.identifier.urihttps://hdl.handle.net/20.500.12713/1205
dc.identifier.volume41en_US
dc.identifier.wosWOS:000585282300007en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorDişçi, Rian
dc.language.isoenen_US
dc.publisherSAUDI MED Jen_US
dc.relation.ispartofSAUDI MEDICAL JOURNALen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFrailtyen_US
dc.subjectBreast Canceren_US
dc.subjectRecurrenceen_US
dc.subjectDeathen_US
dc.subjectHazard Ratioen_US
dc.titleAssessment of death risk of breast cancer patients with joint frailty modelsen_US
dc.typeArticleen_US

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