Developing a medical scoreboard for prediction of breast cancer recurrence / Nurul Husna Jamian

Breast cancer is the commonest diagnosed cancer with substantial high proportion of female globally. Incidence of breast cancer in Asia is lower than in the west but the incidence is increasing rapidly. In Malaysia, the most common cancer occurred among women is breast cancer. Breast cancer recur...

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Main Author:	Jamian, Nurul Husna
Format:	Thesis
Language:	English
Published:	2013
Subjects:	Mathematical statistics Probabilities
Online Access:	https://ir.uitm.edu.my/id/eprint/12031/1/TM_NURUL%20HUSNA%20JAMIAN%20CS%2013_5%201.pdf
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id	my-uitm-ir.12031
record_format	uketd_dc
spelling	my-uitm-ir.120312016-05-14T07:50:56Z Developing a medical scoreboard for prediction of breast cancer recurrence / Nurul Husna Jamian 2013 Jamian, Nurul Husna Mathematical statistics. Probabilities RC0254 Neoplasms. Tumors. Oncology (including Cancer) Breast cancer is the commonest diagnosed cancer with substantial high proportion of female globally. Incidence of breast cancer in Asia is lower than in the west but the incidence is increasing rapidly. In Malaysia, the most common cancer occurred among women is breast cancer. Breast cancer recurrence can be defined as the return of breast cancer after primary treatment and can recur within the first three to five years. The Preliminary Report by National Cancer Patient Registry (NCPR) in 2008 reported that 108 out of 154 patients with available follow-up information (1st June - 31st Dec 2008), 94.4 percent patients are disease free while 5.6 percent patients are recurrent cases. There is still lack of studies on the risk factors of breast cancer recurrence in Malaysia. Most studies focus on risk factors and survival rate of breast cancer patients. Breast cancer recurrence studies have been mostly conducted in developing countries such United Stated, Japan and Canada. Thus, the primary aim of this study is to identify the risk factors of breast cancer recurrence among Malaysian women. Out of 1149 patients who were diagnosed and undergo treatment at Department of Surgery, Hospital Kuala Lumpur and only 454 cleaned data were used in this study. Data obtain retrospectively cohort from year 2006 until 2011 . The outcome was dichotomized into recurrence (code 1) and remission (code 0) with thit1een categorical predictors categorized into patients' background and medical factors. Breast Cancer Recurrence scorecard (BCR-scorecard) model and Logistic Regression model were developed and compared using SAS Enterprise Miner 7 .1. BCR-scorecard model is better predictive model with lower misclassification rate (18%) compared to Logistic Regression model (23%). Five important risk factors were identified: histological type, race, stage, tumour size and vascular invasion in predicting recurrence status. 2013 Thesis https://ir.uitm.edu.my/id/eprint/12031/ https://ir.uitm.edu.my/id/eprint/12031/1/TM_NURUL%20HUSNA%20JAMIAN%20CS%2013_5%201.pdf text en public mphil masters Universiti Teknologi MARA Perpustakaan Tun Abdul Razak
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Mathematical statistics Probabilities Mathematical statistics Probabilities
spellingShingle	Mathematical statistics Probabilities Mathematical statistics Probabilities Jamian, Nurul Husna Developing a medical scoreboard for prediction of breast cancer recurrence / Nurul Husna Jamian
description	Breast cancer is the commonest diagnosed cancer with substantial high proportion of female globally. Incidence of breast cancer in Asia is lower than in the west but the incidence is increasing rapidly. In Malaysia, the most common cancer occurred among women is breast cancer. Breast cancer recurrence can be defined as the return of breast cancer after primary treatment and can recur within the first three to five years. The Preliminary Report by National Cancer Patient Registry (NCPR) in 2008 reported that 108 out of 154 patients with available follow-up information (1st June - 31st Dec 2008), 94.4 percent patients are disease free while 5.6 percent patients are recurrent cases. There is still lack of studies on the risk factors of breast cancer recurrence in Malaysia. Most studies focus on risk factors and survival rate of breast cancer patients. Breast cancer recurrence studies have been mostly conducted in developing countries such United Stated, Japan and Canada. Thus, the primary aim of this study is to identify the risk factors of breast cancer recurrence among Malaysian women. Out of 1149 patients who were diagnosed and undergo treatment at Department of Surgery, Hospital Kuala Lumpur and only 454 cleaned data were used in this study. Data obtain retrospectively cohort from year 2006 until 2011 . The outcome was dichotomized into recurrence (code 1) and remission (code 0) with thit1een categorical predictors categorized into patients' background and medical factors. Breast Cancer Recurrence scorecard (BCR-scorecard) model and Logistic Regression model were developed and compared using SAS Enterprise Miner 7 .1. BCR-scorecard model is better predictive model with lower misclassification rate (18%) compared to Logistic Regression model (23%). Five important risk factors were identified: histological type, race, stage, tumour size and vascular invasion in predicting recurrence status.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Jamian, Nurul Husna
author_facet	Jamian, Nurul Husna
author_sort	Jamian, Nurul Husna
title	Developing a medical scoreboard for prediction of breast cancer recurrence / Nurul Husna Jamian
title_short	Developing a medical scoreboard for prediction of breast cancer recurrence / Nurul Husna Jamian
title_full	Developing a medical scoreboard for prediction of breast cancer recurrence / Nurul Husna Jamian
title_fullStr	Developing a medical scoreboard for prediction of breast cancer recurrence / Nurul Husna Jamian
title_full_unstemmed	Developing a medical scoreboard for prediction of breast cancer recurrence / Nurul Husna Jamian
title_sort	developing a medical scoreboard for prediction of breast cancer recurrence / nurul husna jamian
granting_institution	Universiti Teknologi MARA
granting_department	Perpustakaan Tun Abdul Razak
publishDate	2013
url	https://ir.uitm.edu.my/id/eprint/12031/1/TM_NURUL%20HUSNA%20JAMIAN%20CS%2013_5%201.pdf
_version_	1783733163117248512

Developing a medical scoreboard for prediction of breast cancer recurrence / Nurul Husna Jamian

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