Semi-competing risks survival modeling: Predicting early recurrence and death after curative resection in patients with colorectal cancer

سال انتشار: 1400
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 193

نسخه کامل این مقاله ارائه نشده است و در دسترس نمی باشد

این مقاله در بخشهای موضوعی زیر دسته بندی شده است:

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

CANCERMED05_071

تاریخ نمایه سازی: 27 دی 1400

چکیده مقاله:

Introduction: Survival modeling in the presence of semi-competing risks in predicting early recurrence and death after curative surgery in patients with colorectal cancer Methods: This study is a retrospective cohort of ۲۸۴ patients with colorectal cancer who underwent surgery referred to Imam Khomeini Clinic in Hamadan during the years ۱۳۸۰-۱۳۹۶. All demographic information and other required information were extracted from patients' records. The age at the time of diagnosis, sex and clinical and pathological variables, type and date of first treatment, degree of tumor differentiation, disease stage, recurrence and metastasis, types of treatment (surgery, chemotherapy and radiotherapy) were included as the predictors. The Survival modeling was performed in the presence of semi-competing hazards in R ۴.۱ software to analyze the data. Results: The results showed that for nonterminal event of recurrence metastasis to other organs, age, stage of disease was significantly related. Also, for terminal event of death, age, stage of disease, and chemotherapy was the significant predictors. Conclusion: Suitable and tailored steps could be taken for policy making according to the specific results obtained for terminal and nonterminal events.

کلیدواژه ها:

recurrence ، death ، colorectal cancer ، Semi-competing risks survival modeling

نویسندگان

Leila Mahmoudi

Department of Statistics and Epidemiology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran

Mohammad Asghari-Jafarabadi

Department of Statistics and Epidemiology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran

Ramezan Fallahi

Department of Statistics and Epidemiology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran

Ghodratollah Roshanaei

Department of Statistics and Epidemiology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran