Application of log-normal parametric model in disability structure to predict metastasis and death due to breast cancer

Morteza Hajihosseini; Payam Amini; Maryam Shahdoust; Javad  Faradmal; Majid Sadeghyfar; Abdolazim Sedighi-Pashaki

Koomesh

Journal of Semnan University of Medical Sciences

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Application of log-normal parametric model in disability structure to predict metastasis and death due to breast cancer

Author(s):

Morteza Hajihosseini,

Payam Amini,

Maryam Shahdoust,

Javad Faradmal^,*,

Majid Sadeghyfar,

Abdolazim Sedighi-Pashaki

Koomesh:Vol. 18, issue 1; 95-101

Published online:Sep 28, 2016

Article type:Research Article

Received:Dec 06, 2015

Accepted:May 01, 2016

How to Cite:Morteza HajihosseiniPayam AminiMaryam ShahdoustJavad FaradmalMajid SadeghyfarAbdolazim Sedighi-Pashakiet al.Application of log-normal parametric model in disability structure to predict metastasis and death due to breast cancer.koomesh.18(1):e151150.

Abstract

Introduction: Determining disease progression process and its affecting factors are of the most important issues in controlling the disease. This study aimed to predict the breast cancer progression as well as assessing the relationship between demographical and clinical factors. Materials and Methods: This retrospective cohort study was conducted on 527 Iranian females with breast cancer who underwent surgery, from 1995 to 2013 using checklists. The effect of the factors on death and tumor recurrence was assessed by log-normal model fitted into each transition of illness-death model which were used to investigate the relationship between demographic and clinical factors and survival time. Data analysis was performed using statistical R software version 3.1.1. The significance level of 0.05 was considered. Results: Evaluating the hazard of death without recurrence, the risk of death in patients over 50 years were higher than those under 50 (P=0.01). A tumor size of 2-5 cm was introduced as a death factor in recurrent patients (P=0.01).Age and type of tumor did not impact the hazard. Log-normal distribution was chosen for downtime between steps. Conclusion: Based on the results, age at diagnosis had significant impact on the risk of death before the first recurrence. Tumor size had a significant effect on death after tumor recurrence. In addition, Log-normal and disability models are appropriate tools to identify the factors influencing survival of patients with breast cancer.

Keywords

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