Literature DB >> 3397759

Prognosis in SLE: comparison of Markov model to life table analysis.

M D Silverstein1, D A Albert, N M Hadler, M W Ropes.   

Abstract

A Markov model of prognosis was evaluated by comparing the duration of disease activity states and life expectancy with Kaplan-Meier survival curves for 98 patients with systemic lupus erythematosus with 1080 patient-years of observation. A four state (remission, active, flare and death) homogeneous Markov chain was constructed to determine the transition probabilities between disease states, the probability of disease states over the subsequent 25 years, time in each disease state, and life expectancy. Approximately 85% of the clinical course of patients was in the active disease state; no patient made a transition directly between remission and flare; virtually all deaths occurred from the flare disease state. The proportion of the patient population in each disease state over time provided a convenient graphic summary of the natural history of SLE that supplemented the Kaplan-Meier survival curves. A Markov model analysis yields a clinically useful description of outcome for multistate diseases that supplements survival curves.

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Year:  1988        PMID: 3397759     DOI: 10.1016/0895-4356(88)90114-x

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  5 in total

1.  Successful Anatomic Resection of Tumor-Bearing Portal Territory Delays Long-Term Stage Progression of Hepatocellular Carcinoma.

Authors:  Junichi Shindoh; Yuta Kobayashi; Ryosuke Umino; Kazutaka Kojima; Satoshi Okubo; Masaji Hashimoto
Journal:  Ann Surg Oncol       Date:  2020-07-25       Impact factor: 5.344

2.  Determining the lifetime density function using a continuous approach.

Authors:  Rubén Román; Mercè Comas; Lorena Hoffmeister; Xavier Castells
Journal:  J Epidemiol Community Health       Date:  2007-10       Impact factor: 3.710

Review 3.  Prognostic factors in systemic lupus erythematosus.

Authors:  A J Swaak; J C Nossent; R J Smeenk
Journal:  Rheumatol Int       Date:  1991       Impact factor: 2.631

4.  Description and prediction of the development of metabolic syndrome: a longitudinal analysis using a markov model approach.

Authors:  Lee-Ching Hwang; Chyi-Huey Bai; San-Lin You; Chien-An Sun; Chien-Jen Chen
Journal:  PLoS One       Date:  2013-06-20       Impact factor: 3.240

5.  Description and prediction of the development of metabolic syndrome in Dongying City: a longitudinal analysis using the Markov model.

Authors:  Xiaoxiao Chen; Qicai Chen; Lili Chen; Pengpeng Zhang; Juan Xiao; Shumei Wang
Journal:  BMC Public Health       Date:  2014-10-04       Impact factor: 3.295

  5 in total

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