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Multistate models on pleural effusion after allogeneic hematopoietic stem cell transplantation

Authors Lee J, Modi D, Jang H, Uberti JP, Kim S

Received 22 October 2016

Accepted for publication 4 February 2017

Published 15 April 2017 Volume 2017:7 Pages 15—26

DOI https://doi.org/10.2147/OAMS.S125465

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Amy Norman

Peer reviewer comments 3

Editor who approved publication: Dr Dongfeng Wu


Joohyoung Lee,1,2 Dipenkumar Modi,3 Hyejeong Jang,2,4 Joseph P Uberti,4 Seongho Kim2,4

1Department of Family Medicine and Public Health Sciences, School of Medicine, Wayne State University, 2Biostatistics Core, Karmanos Cancer Institute, 3Department of Internal Medicine, 4Department of Oncology, School of Medicine, Wayne State University, Detroit, MI, USA

Abstract: A multistate model is more complicated than competing risk models and is composed of a finite number of states and transitions between states. Unlike competing risk models, this model has the ability to assess the effect of occurrence order of time-to-event data. Pleural effusion (PE) is a severe complication that often occurs after allogeneic hematopoietic stem cell transplantation (HSCT). Many patients develop PE during the first 100 days after allogeneic HSCT, and graft-versus-host disease (GVHD) occurs either before or after the development of PE, implying that the occurrence order of PE and GVHD (i.e., PE after GVHD vs. GVHD after PE) would influence on the incidence, risk factors, and mortality of PE. One can use either Cox proportional models or competing risk models to evaluate these values, but neither method is able to incorporate the occurrence order of incidence into the model. To resolve this difficulty, we developed a multistate model describing several possible events and event-related dependencies and applied to a retrospective study of 606 patients, including eight covariates.

Keywords: Cox proportional model, hematopoietic stem cell transplantation, multistate model, pleural effusion, survival analysis

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