Factors Associated with Advanced Disease Stage at Diagnosis in a Study of Patients with Newly Diagnosed Breast Cancer

Popoola Abiodun; Sowunmi Anthonia; Omodele Foluso; Odedina Stella

doi:doi:10.11648/j.jctr.20180602.12

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Factors Associated with Advanced Disease Stage at Diagnosis in a Study of Patients with Newly Diagnosed Breast Cancer

Popoola Abiodun, Sowunmi Anthonia, Omodele Foluso, Odedina Stella

Published in Journal of Cancer Treatment and Research (Volume 6, Issue 2)

Received: 25 June 2018 Accepted: 6 July 2018 Published: 1 August 2018

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Abstract

The objectives of this study is to identify potential predictors of long delay and to examine the association between breast cancer patient delay and stage at diagnosis. Breast cancer stage represents an important prognostic factor and advanced stage is associated with decreased time of disease-free survival and increased mortality rates. Thus, reducing these delays is believed to be of high importance. For the period of this study, February 2017 to January 2018, 171 patients were interviewed, Predictors of breast cancer stage at time of diagnosis was determined by bivariate analysis using ordinal logistic regression. The relationship between each of the independent variables with breast cancer stage was determined. A greater percentage of the study participants were below 50 years of age (52%) and the mean ±SD age was 49.5±11.3 years. The percentage of premenopausal women among the study population was 48.2% while postmenopausal women was 51.8%. BMI of <25 is 32%, 25-29 is 47% while >30 was 20. The odds for advanced breast cancer stage is 2.75 for women who had 1-2 months diagnosis delay compared to women who had below 1 month delay. Those with >2 months diagnosis delay also had higher odds compared to those who had below 1 month delay (OR = 2.05, 95% CI = 1.04 – 4.06). The final ordinal logistic model revealed that variables that remained significant were having moderately differentiated tumour histology grade (aOR = 0.11, 95% CI = 0.04 – 0.28), well differentiated tumour histology grade (aOR = 0.35, 95% CI = 0.13 – 0.92) and bra cup size C (aOR = 0.41, 95% CI = 0.17 – 0.98). Improved screening, awareness and education programs are required by the health care professionals and health policy makers in order to promote early detection of breast cancer to avoid diagnosis at advanced stages.

Published in	Journal of Cancer Treatment and Research (Volume 6, Issue 2)
DOI	10.11648/j.jctr.20180602.12
Page(s)	19-24
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), 2018. Published by Science Publishing Group

Keywords

Delayed Diagnosis, Advanced Stage, Breast Cancer

References

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APA Style

Popoola Abiodun, Sowunmi Anthonia, Omodele Foluso, Odedina Stella. (2018). Factors Associated with Advanced Disease Stage at Diagnosis in a Study of Patients with Newly Diagnosed Breast Cancer. Journal of Cancer Treatment and Research, 6(2), 19-24. https://doi.org/10.11648/j.jctr.20180602.12

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ACS Style

Popoola Abiodun; Sowunmi Anthonia; Omodele Foluso; Odedina Stella. Factors Associated with Advanced Disease Stage at Diagnosis in a Study of Patients with Newly Diagnosed Breast Cancer. J. Cancer Treat. Res. 2018, 6(2), 19-24. doi: 10.11648/j.jctr.20180602.12

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AMA Style

Popoola Abiodun, Sowunmi Anthonia, Omodele Foluso, Odedina Stella. Factors Associated with Advanced Disease Stage at Diagnosis in a Study of Patients with Newly Diagnosed Breast Cancer. J Cancer Treat Res. 2018;6(2):19-24. doi: 10.11648/j.jctr.20180602.12

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@article{10.11648/j.jctr.20180602.12,
  author = {Popoola Abiodun and Sowunmi Anthonia and Omodele Foluso and Odedina Stella},
  title = {Factors Associated with Advanced Disease Stage at Diagnosis in a Study of Patients with Newly Diagnosed Breast Cancer},
  journal = {Journal of Cancer Treatment and Research},
  volume = {6},
  number = {2},
  pages = {19-24},
  doi = {10.11648/j.jctr.20180602.12},
  url = {https://doi.org/10.11648/j.jctr.20180602.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jctr.20180602.12},
  abstract = {The objectives of this study is to identify potential predictors of long delay and to examine the association between breast cancer patient delay and stage at diagnosis. Breast cancer stage represents an important prognostic factor and advanced stage is associated with decreased time of disease-free survival and increased mortality rates. Thus, reducing these delays is believed to be of high importance. For the period of this study, February 2017 to January 2018, 171 patients were interviewed, Predictors of breast cancer stage at time of diagnosis was determined by bivariate analysis using ordinal logistic regression. The relationship between each of the independent variables with breast cancer stage was determined. A greater percentage of the study participants were below 50 years of age (52%) and the mean ±SD age was 49.5±11.3 years. The percentage of premenopausal women among the study population was 48.2% while postmenopausal women was 51.8%. BMI of 30 was 20. The odds for advanced breast cancer stage is 2.75 for women who had 1-2 months diagnosis delay compared to women who had below 1 month delay. Those with >2 months diagnosis delay also had higher odds compared to those who had below 1 month delay (OR = 2.05, 95% CI = 1.04 – 4.06). The final ordinal logistic model revealed that variables that remained significant were having moderately differentiated tumour histology grade (aOR = 0.11, 95% CI = 0.04 – 0.28), well differentiated tumour histology grade (aOR = 0.35, 95% CI = 0.13 – 0.92) and bra cup size C (aOR = 0.41, 95% CI = 0.17 – 0.98). Improved screening, awareness and education programs are required by the health care professionals and health policy makers in order to promote early detection of breast cancer to avoid diagnosis at advanced stages.},
 year = {2018}
}

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TY  - JOUR
T1  - Factors Associated with Advanced Disease Stage at Diagnosis in a Study of Patients with Newly Diagnosed Breast Cancer
AU  - Popoola Abiodun
AU  - Sowunmi Anthonia
AU  - Omodele Foluso
AU  - Odedina Stella
Y1  - 2018/08/01
PY  - 2018
N1  - https://doi.org/10.11648/j.jctr.20180602.12
DO  - 10.11648/j.jctr.20180602.12
T2  - Journal of Cancer Treatment and Research
JF  - Journal of Cancer Treatment and Research
JO  - Journal of Cancer Treatment and Research
SP  - 19
EP  - 24
PB  - Science Publishing Group
SN  - 2376-7790
UR  - https://doi.org/10.11648/j.jctr.20180602.12
AB  - The objectives of this study is to identify potential predictors of long delay and to examine the association between breast cancer patient delay and stage at diagnosis. Breast cancer stage represents an important prognostic factor and advanced stage is associated with decreased time of disease-free survival and increased mortality rates. Thus, reducing these delays is believed to be of high importance. For the period of this study, February 2017 to January 2018, 171 patients were interviewed, Predictors of breast cancer stage at time of diagnosis was determined by bivariate analysis using ordinal logistic regression. The relationship between each of the independent variables with breast cancer stage was determined. A greater percentage of the study participants were below 50 years of age (52%) and the mean ±SD age was 49.5±11.3 years. The percentage of premenopausal women among the study population was 48.2% while postmenopausal women was 51.8%. BMI of 30 was 20. The odds for advanced breast cancer stage is 2.75 for women who had 1-2 months diagnosis delay compared to women who had below 1 month delay. Those with >2 months diagnosis delay also had higher odds compared to those who had below 1 month delay (OR = 2.05, 95% CI = 1.04 – 4.06). The final ordinal logistic model revealed that variables that remained significant were having moderately differentiated tumour histology grade (aOR = 0.11, 95% CI = 0.04 – 0.28), well differentiated tumour histology grade (aOR = 0.35, 95% CI = 0.13 – 0.92) and bra cup size C (aOR = 0.41, 95% CI = 0.17 – 0.98). Improved screening, awareness and education programs are required by the health care professionals and health policy makers in order to promote early detection of breast cancer to avoid diagnosis at advanced stages.
VL  - 6
IS  - 2
ER  -

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Author Information

Popoola Abiodun

Oncology Unit, Department of Radiology, Lagos State University College of Medicine, Ikeja, Nigeria
Sowunmi Anthonia

Department of Radiotherapy, Lagos University Teaching Hospital, Idiaraba, Nigeria
Omodele Foluso

Department of Surgery, Lagos State University Teaching Hospital, Ikeja, Nigeria
Odedina Stella

West African Breast Cancer Study Unit, Lagos State University College of Medicine, Ikeja, Nigeria

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APA Style

Popoola Abiodun, Sowunmi Anthonia, Omodele Foluso, Odedina Stella. (2018). Factors Associated with Advanced Disease Stage at Diagnosis in a Study of Patients with Newly Diagnosed Breast Cancer. Journal of Cancer Treatment and Research, 6(2), 19-24. https://doi.org/10.11648/j.jctr.20180602.12

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ACS Style

Popoola Abiodun; Sowunmi Anthonia; Omodele Foluso; Odedina Stella. Factors Associated with Advanced Disease Stage at Diagnosis in a Study of Patients with Newly Diagnosed Breast Cancer. J. Cancer Treat. Res. 2018, 6(2), 19-24. doi: 10.11648/j.jctr.20180602.12

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AMA Style

Popoola Abiodun, Sowunmi Anthonia, Omodele Foluso, Odedina Stella. Factors Associated with Advanced Disease Stage at Diagnosis in a Study of Patients with Newly Diagnosed Breast Cancer. J Cancer Treat Res. 2018;6(2):19-24. doi: 10.11648/j.jctr.20180602.12

Copy | Download

@article{10.11648/j.jctr.20180602.12,
  author = {Popoola Abiodun and Sowunmi Anthonia and Omodele Foluso and Odedina Stella},
  title = {Factors Associated with Advanced Disease Stage at Diagnosis in a Study of Patients with Newly Diagnosed Breast Cancer},
  journal = {Journal of Cancer Treatment and Research},
  volume = {6},
  number = {2},
  pages = {19-24},
  doi = {10.11648/j.jctr.20180602.12},
  url = {https://doi.org/10.11648/j.jctr.20180602.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jctr.20180602.12},
  abstract = {The objectives of this study is to identify potential predictors of long delay and to examine the association between breast cancer patient delay and stage at diagnosis. Breast cancer stage represents an important prognostic factor and advanced stage is associated with decreased time of disease-free survival and increased mortality rates. Thus, reducing these delays is believed to be of high importance. For the period of this study, February 2017 to January 2018, 171 patients were interviewed, Predictors of breast cancer stage at time of diagnosis was determined by bivariate analysis using ordinal logistic regression. The relationship between each of the independent variables with breast cancer stage was determined. A greater percentage of the study participants were below 50 years of age (52%) and the mean ±SD age was 49.5±11.3 years. The percentage of premenopausal women among the study population was 48.2% while postmenopausal women was 51.8%. BMI of 30 was 20. The odds for advanced breast cancer stage is 2.75 for women who had 1-2 months diagnosis delay compared to women who had below 1 month delay. Those with >2 months diagnosis delay also had higher odds compared to those who had below 1 month delay (OR = 2.05, 95% CI = 1.04 – 4.06). The final ordinal logistic model revealed that variables that remained significant were having moderately differentiated tumour histology grade (aOR = 0.11, 95% CI = 0.04 – 0.28), well differentiated tumour histology grade (aOR = 0.35, 95% CI = 0.13 – 0.92) and bra cup size C (aOR = 0.41, 95% CI = 0.17 – 0.98). Improved screening, awareness and education programs are required by the health care professionals and health policy makers in order to promote early detection of breast cancer to avoid diagnosis at advanced stages.},
 year = {2018}
}

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TY  - JOUR
T1  - Factors Associated with Advanced Disease Stage at Diagnosis in a Study of Patients with Newly Diagnosed Breast Cancer
AU  - Popoola Abiodun
AU  - Sowunmi Anthonia
AU  - Omodele Foluso
AU  - Odedina Stella
Y1  - 2018/08/01
PY  - 2018
N1  - https://doi.org/10.11648/j.jctr.20180602.12
DO  - 10.11648/j.jctr.20180602.12
T2  - Journal of Cancer Treatment and Research
JF  - Journal of Cancer Treatment and Research
JO  - Journal of Cancer Treatment and Research
SP  - 19
EP  - 24
PB  - Science Publishing Group
SN  - 2376-7790
UR  - https://doi.org/10.11648/j.jctr.20180602.12
AB  - The objectives of this study is to identify potential predictors of long delay and to examine the association between breast cancer patient delay and stage at diagnosis. Breast cancer stage represents an important prognostic factor and advanced stage is associated with decreased time of disease-free survival and increased mortality rates. Thus, reducing these delays is believed to be of high importance. For the period of this study, February 2017 to January 2018, 171 patients were interviewed, Predictors of breast cancer stage at time of diagnosis was determined by bivariate analysis using ordinal logistic regression. The relationship between each of the independent variables with breast cancer stage was determined. A greater percentage of the study participants were below 50 years of age (52%) and the mean ±SD age was 49.5±11.3 years. The percentage of premenopausal women among the study population was 48.2% while postmenopausal women was 51.8%. BMI of 30 was 20. The odds for advanced breast cancer stage is 2.75 for women who had 1-2 months diagnosis delay compared to women who had below 1 month delay. Those with >2 months diagnosis delay also had higher odds compared to those who had below 1 month delay (OR = 2.05, 95% CI = 1.04 – 4.06). The final ordinal logistic model revealed that variables that remained significant were having moderately differentiated tumour histology grade (aOR = 0.11, 95% CI = 0.04 – 0.28), well differentiated tumour histology grade (aOR = 0.35, 95% CI = 0.13 – 0.92) and bra cup size C (aOR = 0.41, 95% CI = 0.17 – 0.98). Improved screening, awareness and education programs are required by the health care professionals and health policy makers in order to promote early detection of breast cancer to avoid diagnosis at advanced stages.
VL  - 6
IS  - 2
ER  -

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