Cited 0 times in Scipus Cited Count

Risk Stratification Using Multivariable Fractional Polynomials in Diffuse Large B-Cell Lymphoma

DC Field Value Language
dc.contributor.authorRoh, J-
dc.contributor.authorJung, J-
dc.contributor.authorLee, Y-
dc.contributor.authorKim, SW-
dc.contributor.authorPak, HK-
dc.contributor.authorLee, AN-
dc.contributor.authorLee, J-
dc.contributor.authorCho, J-
dc.contributor.authorCho, H-
dc.contributor.authorYoon, DH-
dc.contributor.authorPark, RW-
dc.contributor.authorHuh, J-
dc.contributor.authorOh, HB-
dc.contributor.authorPark, CS-
dc.date.accessioned2022-11-29T01:43:18Z-
dc.date.available2022-11-29T01:43:18Z-
dc.date.issued2020-
dc.identifier.urihttp://repository.ajou.ac.kr/handle/201003/22954-
dc.description.abstractThe risk stratification of diffuse large B-cell lymphoma (DLBCL) is crucial. The International Prognostic Index, the most commonly used and the traditional risk stratification system, is composed of fixed and artificially dichotomized attributes. We aimed to develop a novel prognostic model that allows the incorporation of up-to-date attributes comprehensively without information loss. We analyzed 204 patients with primary DLBCL who were uniformly treated with R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone) from 2007 to 2012 at Asan Medical Center. Using the multivariable fractional polynomial (MFP) method and bootstrap resampling, we selected the variables of significance and the best fitted functional form in fractional polynomials. Age, serum beta2-microglobulin, serum lactate dehydrogenase, and BCL2 expression were selected as significant variables in predicting overall survival (OS), while age was excluded in predicting 2-years event-free survival. The prognostic score calculated by the MFP model effectively classifies patients into four risk groups with 5-years OS of 89.91% (low risk), 81.21% (low-intermediate risk), 66.40% (high-intermediate risk), and 37.89% (high risk). We suggest a new prognostic model that is simple and flexible. By using the MFP method, we can incorporate various clinicopathologic factors into a risk stratification system without arbitrary dichotomization.-
dc.language.isoen-
dc.titleRisk Stratification Using Multivariable Fractional Polynomials in Diffuse Large B-Cell Lymphoma-
dc.typeArticle-
dc.identifier.pmid32219067-
dc.identifier.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7078241-
dc.subject.keyworddiffuse large B-cell lymphoma-
dc.subject.keywordprognosis-
dc.subject.keywordmultivariable fractional polynomial-
dc.subject.keywordrisk stratification-
dc.subject.keywordprognostic model-
dc.contributor.affiliatedAuthorRoh, J-
dc.contributor.affiliatedAuthorPark, RW-
dc.type.localJournal Papers-
dc.identifier.doi10.3389/fonc.2020.00329-
dc.citation.titleFrontiers in oncology-
dc.citation.volume10-
dc.citation.date2020-
dc.citation.startPage329-
dc.citation.endPage329-
dc.identifier.bibliographicCitationFrontiers in oncology, 10. : 329-329, 2020-
dc.identifier.eissn2234-943X-
dc.relation.journalidJ02234943X-
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Pathology
Journal Papers > School of Medicine / Graduate School of Medicine > Biomedical Informatics
Files in This Item:
32219067.pdfDownload

qrcode

해당 아이템을 이메일로 공유하기 원하시면 인증을 거치시기 바랍니다.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse