Journal of Cancer Treatment and Research

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

Received: 25 June 2018    Accepted: 06 July 2018    Published: 01 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.

DOI 10.11648/j.jctr.20180602.12
Published in Journal of Cancer Treatment and Research (Volume 6, Issue 2, June 2018)
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), 2024. Published by Science Publishing Group

Keywords

Delayed Diagnosis, Advanced Stage, Breast Cancer

References
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[2] Popoola. A. O, Wright K. O, Igwilo A. I, Sowunmi A, Kuyinu Y. A (2011) Literacy and Breast Cancer Diagnosis and Treatment among Patients in a Tertiary Health Institution of Lagos Nigeria; IOSR Journal of Dental and Medical Sciences (IOSR-JDMS); Volume 5, Issue 4, PP 49-54.
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[6] T Stürmer, C Stegmaier, H Ziegler, G Dhom (2002), Patient delay and stage of diagnosis among breast cancer patients in Germany – a population based study, British Journal of Cancer Br J Cancer. 2002 Apr 8; 86(7): 1034–1040. doi: 10.1038/sj.bjc.6600209
[7] Lipscomb J, Steven T. F, Trentham-Dietz A, Kimmick G, Xiao-Cheng W, Morris C R, Zhang K, Smith R A, Anderson R T and Sabatino S A. (2016) What Predicts an Advanced-Stage Diagnosis of Breast Cancer? Sorting Out the Influence of Method of Detection, Access to Care, and Biologic Factors Cancer Epidemiology, Biomarkers & Prevention January 27, 2016; DOI: 10. 1158/1055-9965. EPI-15-0225.
[8] Popoola A. O., Makanjuola S., Sowunmi O., Igwilo A., Oludara M., Ibrahim N., Omodele F.(2015) Level of Adherence to Cytotoxic Drugs by Breast Cancer Patients’ in Lagos State University Teaching Hospital. Journal of Cancer Therapy 6: 383-389 –ht9\\tp://dx.doi.org/10.4236/jct.2015.64041
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[12] Brzozowska, A., Duma, D. and Mazurkiewicz, T. (2014) Reasons for Delay in Treatment of Breast Cancer Detected Due to Breast Self-Examination in Women from the Lubelskie Region. Ginekologia Polska, 85, 14-17. https://doi.org/10.17772/gp/1684
[13] Norsa’adah, B., Rampal, K. G. and Rahmah, M. A. (2011) Diagnosis Delay of Breast Cancer and Its Associated Factors in Malaysian Women. BMC Cancer, 11, https://doi.org/10.1186/1471-2407-11-141
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Author Information
  • Oncology Unit, Department of Radiology, Lagos State University College of Medicine, Ikeja, Nigeria

  • Department of Radiotherapy, Lagos University Teaching Hospital, Idiaraba, Nigeria

  • Department of Surgery, Lagos State University Teaching Hospital, Ikeja, Nigeria

  • 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

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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://download.sciencepg.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
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    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
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    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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