Exploring the Clinical Characteristics and Survival Outcomes in Colorectal Cancer Patients in Hatyai Hospital: A Retrospective Cohort Study

Authors

  • Makusee Masae Research Center in Mathematics and Statistics with Applications, Faculty of Science, Prince of Songkla University, Songkhla 90110, Thailand & Statistics Program, Division of Computational Science, Faculty of Science, Prince of Songkla University, Songkhla 90110, Thailand https://orcid.org/0000-0003-4193-6203
  • Ajira Nasawat Department of Internal Medicine, Hatyai Hospital, Songkhla, 90110, Thailand
  • Natthawut Sangsakul Statistics Program, Division of Computational Science, Faculty of Science, Prince of Songkla University, Songkhla 90110, Thailand
  • Nutsara Mansoh Statistics Program, Division of Computational Science, Faculty of Science, Prince of Songkla University, Songkhla 90110, Thailand
  • Warit Ruanglertboon Research Center in Mathematics and Statistics with Applications, Faculty of Science, Prince of Songkla University, Songkhla 90110, Thailand & Pharmacology Program, Division of Health and Applied Sciences, Faculty of Science, Prince of Songkla University, Songkhla, 90110, Thailand https://orcid.org/0000-0003-0540-7427

DOI:

https://doi.org/10.59796/jcst.V15N3.2025.123

Keywords:

clinical characteristic, colorectal cancer, early diagnosis, electronic medical record, survival analysis

Abstract

Colorectal cancer (CRC) is considered a significant public health concern worldwide, with substantial morbidity and mortality rates. In Thailand, several campaigns have been implemented to address this issue, such as the establishment of local treatment centers. The Cancer Center of Hatyai Hospital (CCHH) is the latest cancer center affiliated with a tertiary public hospital in the southernmost part of Thailand. However, a systematic assessment of cancer treatment outcomes, including those for CRC patients, has yet to be conducted. Therefore, the current study utilized a retrospective analysis approach to elucidate the survival probability of CRC patients treated at CCHH. A secondary data analysis was conducted using electronic medical records (EMRs), and the selected data were validated and filtered by a certified oncologist and pharmacist. Time-to-event analysis was used to model survival probability across subgroups, and visualized using Kaplan-Meier (KM) plots. Additionally, restricted mean survival time (RMST) analysis was performed to estimate the 3-year survival time of this patient cohort, with an estimated survival time of 24.8 months. The univariate Cox proportional hazards (PH) model was used as an exploratory analysis to identify the influence of clinical variables on survival outcomes. Subsequently, a multivariable Cox PH model was constructed with a set of selected variables. T2 tumor status, the presence of distant metastasis, ECOG score of 4, and poorly differentiated tumor were identified as the strongest predictors of reduced survival among the included variables. As such, this study provides practical insights based on real-world data regarding cancer survivorship and the survival outcomes of CRC patients treated at a public hospital. Additionally, it offers a snapshot of the recent implementation of an early diagnosis campaign.

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Published

2025-06-15

How to Cite

Masae, M., Nasawat, A. ., Sangsakul, N. ., Mansoh, N. ., & Ruanglertboon, W. (2025). Exploring the Clinical Characteristics and Survival Outcomes in Colorectal Cancer Patients in Hatyai Hospital: A Retrospective Cohort Study. Journal of Current Science and Technology, 15(3), 123. https://doi.org/10.59796/jcst.V15N3.2025.123

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