Research Article

Survival Analysis in Colon Cancer Patients

Volume: 11 Number: 3 May 24, 2021
TR EN

Survival Analysis in Colon Cancer Patients

Abstract

Introduction: The aim of this study is to investigate the degree of risk and significance of prognostic and demographic factors affecting the survival of patients diagnosed with colon cancer (CC). Material and Method: This was a retrospective study conducted by reviweing the medical records of 80 patients diagnosed with metastatic CC at the Oncology Clinic at the Mustafa Kemal University between 01/2018 – 01/2021. Cox regression analysis was performed to determine the prognostic and demographic factors affecting the CC and Kaplan-Meier method was used to estimate the overall survival (OS). Difference between the variable levels in terms of survival probabilities was investigated using the log-rank test. Results: The average age of the patients was 56.72 ± 12.42. The median survival time of patients with colon cancer was 48.42 months (95% confidence interval (CI) = 41.97-54.87). Cox regression analysis showed that age, incident type 2 diabetes mellitus (DB), and family history of CC were significantly associated with OS (p <0.005). Patients with CC aged 50 years; patients with DB and patients with a family history of CC were approximately 3 times more at risk compared to patients <50 years; patients without DB and patients without CC in the family, consecutively. Discussion and Conclusion: The effect of prognostic and demographic factors affecting the survival of patients with CC was evaluated. Our findings showed that age, DB and family history of CC can be used to estimate the survial of patients with CC. We believe that our results will help guide practitioners for the treatment of patients diagnosed with metastatic CC.

Keywords

References

  1. (1) Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2021; Feb 4. https://doi.org/10.3322/caac.21660. [Epub ahead of print].
  2. (2) Dekker E, Tanis PJ, Vleguels JLA, Kasi PM, Wallace MB. Colorectal Cancer. Lancet 2019;394(10207):1467-1480. https://doi.org/10.1016/S0140-6736(19)32319-0.
  3. (3) Boyle P., Leon ME. Epidemiology of colorectal cancer. British Medical Bulletin 2002;64(1):25-26. https://doi.org/10.1093/bmb/64.1.1
  4. (4) Mollahaliloğlu, S., Başara, B. B., & Eryılmaz, Z. TC Sağlık Bakanlığı Sağlık İstatistikleri Yıllığı. Ankara: Kalkan Matbaacılık, 2010;1-100.
  5. (5) International Agency For Research On Cancer, Cancer Tomorrow. Available from: http://gco.iarc.fr/tomorrow/graphic-line?type=0&population=900&mode= population &sex=0&cancer=39&age_group=value&apc_male=0&apc_female=0. Accessed on 20th October 2020.
  6. (6) Otake, S., Takeda, H., Suzuki, Y., Fukui, T., Watanabe, S., Ishihama, K., ... & Kawata, Association of visceral fat accumulation and plasma adiponectin with colorectal adenoma: evidence for participation of insulin resistance. Clinical Cancer Research, S 2005;11(10):3642-3646. https://doi.org/10.1158/1078-0432.CCR-04-1868
  7. (7) Ve Giovannucci, E., Ascherio, A., Rimm, E. B., Colditz, G. A., Stampfer, M. J., & Willett, W. C. Physical activity, obesity, and risk for colon cancer and adenoma in men. Annals of internal medicine 1995;22(5):327-334. https://doi.org/10.7326/0003-4819-122-5-199503010-00002
  8. (8) Cox DR. Regression models and Life-Tables. Breakthroughs in statistics. Springer Series in Statistics, New York, NY, 1992. 527-541. https://doi.org/10.1007/978-1-4612-4380-9

Details

Primary Language

English

Subjects

Health Care Administration

Journal Section

Research Article

Publication Date

May 24, 2021

Submission Date

March 24, 2021

Acceptance Date

April 27, 2021

Published in Issue

Year 2021 Volume: 11 Number: 3

APA
Ulgen, A., Çetin, Ş., & Dede, İ. (2021). Survival Analysis in Colon Cancer Patients. Journal of Contemporary Medicine, 11(3), 374-379. https://doi.org/10.16899/jcm.902588
AMA
1.Ulgen A, Çetin Ş, Dede İ. Survival Analysis in Colon Cancer Patients. J Contemp Med. 2021;11(3):374-379. doi:10.16899/jcm.902588
Chicago
Ulgen, Ayse, Şirin Çetin, and İsa Dede. 2021. “Survival Analysis in Colon Cancer Patients”. Journal of Contemporary Medicine 11 (3): 374-79. https://doi.org/10.16899/jcm.902588.
EndNote
Ulgen A, Çetin Ş, Dede İ (May 1, 2021) Survival Analysis in Colon Cancer Patients. Journal of Contemporary Medicine 11 3 374–379.
IEEE
[1]A. Ulgen, Ş. Çetin, and İ. Dede, “Survival Analysis in Colon Cancer Patients”, J Contemp Med, vol. 11, no. 3, pp. 374–379, May 2021, doi: 10.16899/jcm.902588.
ISNAD
Ulgen, Ayse - Çetin, Şirin - Dede, İsa. “Survival Analysis in Colon Cancer Patients”. Journal of Contemporary Medicine 11/3 (May 1, 2021): 374-379. https://doi.org/10.16899/jcm.902588.
JAMA
1.Ulgen A, Çetin Ş, Dede İ. Survival Analysis in Colon Cancer Patients. J Contemp Med. 2021;11:374–379.
MLA
Ulgen, Ayse, et al. “Survival Analysis in Colon Cancer Patients”. Journal of Contemporary Medicine, vol. 11, no. 3, May 2021, pp. 374-9, doi:10.16899/jcm.902588.
Vancouver
1.Ayse Ulgen, Şirin Çetin, İsa Dede. Survival Analysis in Colon Cancer Patients. J Contemp Med. 2021 May 1;11(3):374-9. doi:10.16899/jcm.902588

Cited By