Parametric Modeling of Survival Times Among Breast Cancer Patients in a Teaching Hospital, Osogbo

Phillip Oluwatobi Awodutire; Oladapo Adedayo Kolawole; Oluwatosin Ruth Ilori

doi:doi:10.11648/j.jctr.20170505.12

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Parametric Modeling of Survival Times Among Breast Cancer Patients in a Teaching Hospital, Osogbo

Phillip Oluwatobi Awodutire, Oladapo Adedayo Kolawole, Oluwatosin Ruth Ilori

Published in Journal of Cancer Treatment and Research (Volume 5, Issue 5)

Received: 31 October 2016 Accepted: 21 November 2016 Published: 13 September 2017

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Abstract

In Nigeria, Breast Cancer is the most common malignancy among women. Unfortunately, many breast cancer patients present for treatment late. Using a parametric survival model to predict the survival times of patients and contribution of the prognostic factors, the study focused on the 1-year survival of breast cancer patients from the day of presentation. A total 89 women, who were diagnosed with breast cancer in which 32.56% reported early for treatment from 2009 to 2014, were recorded. Age, stage of presentation, average years of breastfeeding, neoadjuvant treatment offered, age at menarche and use of contraceptives were the variables used in the study. The predictive model that can be used to predict survival times of breast cancer patients was obtained. The results showed that stage at presentation is significant at 0.05 significance level.

Published in	Journal of Cancer Treatment and Research (Volume 5, Issue 5)
DOI	10.11648/j.jctr.20170505.12
Page(s)	81-85
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Survival Times, Parametric Model, Breast Cancer, Predictive, Prognostic Factor

References

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[10]	Ojewusi Ayoola A., Obembe Taiwo, Aruogun Oyedunni S and Olugbayela Tunde (2016): Breast Cancer Awareness, Attitude and Screening Practices in Nigeria; a systematic review. 7 (2), pp. 11-25.
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APA Style

Phillip Oluwatobi Awodutire, Oladapo Adedayo Kolawole, Oluwatosin Ruth Ilori. (2017). Parametric Modeling of Survival Times Among Breast Cancer Patients in a Teaching Hospital, Osogbo. Journal of Cancer Treatment and Research, 5(5), 81-85. https://doi.org/10.11648/j.jctr.20170505.12

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ACS Style

Phillip Oluwatobi Awodutire; Oladapo Adedayo Kolawole; Oluwatosin Ruth Ilori. Parametric Modeling of Survival Times Among Breast Cancer Patients in a Teaching Hospital, Osogbo. J. Cancer Treat. Res. 2017, 5(5), 81-85. doi: 10.11648/j.jctr.20170505.12

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AMA Style

Phillip Oluwatobi Awodutire, Oladapo Adedayo Kolawole, Oluwatosin Ruth Ilori. Parametric Modeling of Survival Times Among Breast Cancer Patients in a Teaching Hospital, Osogbo. J Cancer Treat Res. 2017;5(5):81-85. doi: 10.11648/j.jctr.20170505.12

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@article{10.11648/j.jctr.20170505.12,
  author = {Phillip Oluwatobi Awodutire and Oladapo Adedayo Kolawole and Oluwatosin Ruth Ilori},
  title = {Parametric Modeling of Survival Times Among Breast Cancer Patients in a Teaching Hospital, Osogbo},
  journal = {Journal of Cancer Treatment and Research},
  volume = {5},
  number = {5},
  pages = {81-85},
  doi = {10.11648/j.jctr.20170505.12},
  url = {https://doi.org/10.11648/j.jctr.20170505.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jctr.20170505.12},
  abstract = {In Nigeria, Breast Cancer is the most common malignancy among women. Unfortunately, many breast cancer patients present for treatment late. Using a parametric survival model to predict the survival times of patients and contribution of the prognostic factors, the study focused on the 1-year survival of breast cancer patients from the day of presentation. A total 89 women, who were diagnosed with breast cancer in which 32.56% reported early for treatment from 2009 to 2014, were recorded. Age, stage of presentation, average years of breastfeeding, neoadjuvant treatment offered, age at menarche and use of contraceptives were the variables used in the study. The predictive model that can be used to predict survival times of breast cancer patients was obtained. The results showed that stage at presentation is significant at 0.05 significance level.},
 year = {2017}
}

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TY  - JOUR
T1  - Parametric Modeling of Survival Times Among Breast Cancer Patients in a Teaching Hospital, Osogbo
AU  - Phillip Oluwatobi Awodutire
AU  - Oladapo Adedayo Kolawole
AU  - Oluwatosin Ruth Ilori
Y1  - 2017/09/13
PY  - 2017
N1  - https://doi.org/10.11648/j.jctr.20170505.12
DO  - 10.11648/j.jctr.20170505.12
T2  - Journal of Cancer Treatment and Research
JF  - Journal of Cancer Treatment and Research
JO  - Journal of Cancer Treatment and Research
SP  - 81
EP  - 85
PB  - Science Publishing Group
SN  - 2376-7790
UR  - https://doi.org/10.11648/j.jctr.20170505.12
AB  - In Nigeria, Breast Cancer is the most common malignancy among women. Unfortunately, many breast cancer patients present for treatment late. Using a parametric survival model to predict the survival times of patients and contribution of the prognostic factors, the study focused on the 1-year survival of breast cancer patients from the day of presentation. A total 89 women, who were diagnosed with breast cancer in which 32.56% reported early for treatment from 2009 to 2014, were recorded. Age, stage of presentation, average years of breastfeeding, neoadjuvant treatment offered, age at menarche and use of contraceptives were the variables used in the study. The predictive model that can be used to predict survival times of breast cancer patients was obtained. The results showed that stage at presentation is significant at 0.05 significance level.
VL  - 5
IS  - 5
ER  -

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Author Information

Phillip Oluwatobi Awodutire

Department of Statistics, Federal Polytechnic of Oil and Gas, Bonny, Nigeria
Oladapo Adedayo Kolawole

Department of Surgery, Ladoke Akintola University of Technology Teaching Hospital, Osogbo, Nigeria
Oluwatosin Ruth Ilori

Department of Community Medicine, Ladoke Akintola University of Technology Teaching Hospital, Ogbomoso, Nigeria

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APA Style

Phillip Oluwatobi Awodutire, Oladapo Adedayo Kolawole, Oluwatosin Ruth Ilori. (2017). Parametric Modeling of Survival Times Among Breast Cancer Patients in a Teaching Hospital, Osogbo. Journal of Cancer Treatment and Research, 5(5), 81-85. https://doi.org/10.11648/j.jctr.20170505.12

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ACS Style

Phillip Oluwatobi Awodutire; Oladapo Adedayo Kolawole; Oluwatosin Ruth Ilori. Parametric Modeling of Survival Times Among Breast Cancer Patients in a Teaching Hospital, Osogbo. J. Cancer Treat. Res. 2017, 5(5), 81-85. doi: 10.11648/j.jctr.20170505.12

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AMA Style

Phillip Oluwatobi Awodutire, Oladapo Adedayo Kolawole, Oluwatosin Ruth Ilori. Parametric Modeling of Survival Times Among Breast Cancer Patients in a Teaching Hospital, Osogbo. J Cancer Treat Res. 2017;5(5):81-85. doi: 10.11648/j.jctr.20170505.12

Copy | Download

@article{10.11648/j.jctr.20170505.12,
  author = {Phillip Oluwatobi Awodutire and Oladapo Adedayo Kolawole and Oluwatosin Ruth Ilori},
  title = {Parametric Modeling of Survival Times Among Breast Cancer Patients in a Teaching Hospital, Osogbo},
  journal = {Journal of Cancer Treatment and Research},
  volume = {5},
  number = {5},
  pages = {81-85},
  doi = {10.11648/j.jctr.20170505.12},
  url = {https://doi.org/10.11648/j.jctr.20170505.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jctr.20170505.12},
  abstract = {In Nigeria, Breast Cancer is the most common malignancy among women. Unfortunately, many breast cancer patients present for treatment late. Using a parametric survival model to predict the survival times of patients and contribution of the prognostic factors, the study focused on the 1-year survival of breast cancer patients from the day of presentation. A total 89 women, who were diagnosed with breast cancer in which 32.56% reported early for treatment from 2009 to 2014, were recorded. Age, stage of presentation, average years of breastfeeding, neoadjuvant treatment offered, age at menarche and use of contraceptives were the variables used in the study. The predictive model that can be used to predict survival times of breast cancer patients was obtained. The results showed that stage at presentation is significant at 0.05 significance level.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Parametric Modeling of Survival Times Among Breast Cancer Patients in a Teaching Hospital, Osogbo
AU  - Phillip Oluwatobi Awodutire
AU  - Oladapo Adedayo Kolawole
AU  - Oluwatosin Ruth Ilori
Y1  - 2017/09/13
PY  - 2017
N1  - https://doi.org/10.11648/j.jctr.20170505.12
DO  - 10.11648/j.jctr.20170505.12
T2  - Journal of Cancer Treatment and Research
JF  - Journal of Cancer Treatment and Research
JO  - Journal of Cancer Treatment and Research
SP  - 81
EP  - 85
PB  - Science Publishing Group
SN  - 2376-7790
UR  - https://doi.org/10.11648/j.jctr.20170505.12
AB  - In Nigeria, Breast Cancer is the most common malignancy among women. Unfortunately, many breast cancer patients present for treatment late. Using a parametric survival model to predict the survival times of patients and contribution of the prognostic factors, the study focused on the 1-year survival of breast cancer patients from the day of presentation. A total 89 women, who were diagnosed with breast cancer in which 32.56% reported early for treatment from 2009 to 2014, were recorded. Age, stage of presentation, average years of breastfeeding, neoadjuvant treatment offered, age at menarche and use of contraceptives were the variables used in the study. The predictive model that can be used to predict survival times of breast cancer patients was obtained. The results showed that stage at presentation is significant at 0.05 significance level.
VL  - 5
IS  - 5
ER  -

Copy | Download