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International Journal of Diabetes & Metabolic Disorders(IJDMD)

ISSN: 2475-5451 | DOI: 10.33140/IJDMD

Impact Factor: 1.23

Probability of Survival in Patients with Gastric Cancer

Abstract

Maryam Rajabi , Asghar Karbord, Shahram Rastak, Mohammad Bokharaei and kiamars karbord

Background: Gastric cancer is the most common cancer and currently, the prevalence of gastric cancer is 10 percent among all cancers in the world. There are more than 870 thousand new cases worldwide each year and it causes the death of more than 650 thousand patients. This study was performed to estimate the life table survival in patients with gastric cancer in province Qazvin of Iran at 2010-2020.

Methods: This is cross – sectional study whit analytical type method which has been conducted using the process of longitudinal and survival study. The study population includes all patients diagnosed with gastric cancer in Qazvin province between the years 2010 to 2020. The samples size (600 patient) selected by the random systematic simple sample method than all the patients diagnosed with gastric cancer referred to Qazvin hospitals for treatments including surgery, radiotherapy and chemotherapy that were in the same group from the time aspect, which was recorded from 2010 until 2020. The most important factors affecting survival rate were marked and analyzed with the Kaplan-Meier and cox model.

Results: 68 % of 600 patients, were male with a mean age of (48.23± 8 years), and 32% of patients were female with a mean age of (46±9) and median survival rate were 36 and 40 months, and the survival rate of 1 to 5-year of patients were 16,22,28,34,52 respectively. In cox model, factors including sex, age of diagnosis, lead-time and type of treatment have significant correlation with survival rate (p ≤0.05).

Conclusion: Early diagnosis and treatment of disease in the early stages with suitable surgery increase the survival of patients. However, it does not have special effects on life length of patient but it will increase the quality of life for patients.

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