Computer Science and Information Engineering

Md. Rejaul Islam Royel1 , Mehedi Hassan2 , Fuyad Al Masud This email address is being protected from spambots. You need JavaScript enabled to view it.1,3, Md. Ajmanur Jaman1 , Arzo Ahmed4 , and Abdul Muyeed5

1Department of Software Engineering (SWE), Daffodil International University, Dhaka, Bangladesh
2Export Promotion Bureau, Commerce Ministry, Dhaka 1215, Bangladesh
3Department of Information and Communication Technology (ICT), Mawlana Bhashani Science and Technology University, Tangail-1902, Bangladesh
4Department of Statistics, Mawlana Bhashani Science and Technology University, Tangail-1902, Bangladesh
5Department of Statistics, Jatiya Kabi Kazi Nazrul Islam University, Trishal, Mymensingh-2220, Bangladesh

 

Received: November 23, 2020
Accepted: March 28, 2021
Publication Date: August 1, 2021

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.6180/jase.202108_24(4).0020  


ABSTRACT

Background: Stomach cancer is known as gastric cancer. Knowing any disease risk factors is an important task which is varied from country to country. In this study, we aim to find out all possible preoperative significant risk factors for stomach cancer and increase awareness among the people of Bangladesh. Methodology: Personal interview methods have been applied and the same questionnaire is maintained to collect Case and Control Group Data. The total number of sample size is 300 (Case = 150 and Control = 150). Case group people’s data are collected from the National Institute of Cancer Research and Hospital (NICRH) Bangladesh and Control groups data are collected from outside of the hospital. The entire analysis took place by frequency distribution with P-value and finally doing binary logistic regression modeling by odds ratio. Results: After analyzing 300 subjects’ records with 26 risk factors, we have received 21 statistically significant (P< 0.05) risk factors where “Skin Color Turn into Pale” including (P<0.001, OR =139.462), and “Abdominal Pain” are the first and second most pre-operative risk factors of stomach cancer including (P<0.001, OR = 66.769). Besides, we have found other significant high-risk factors like “Age”, “BMI”, “Education Level”, “Get Ill Too Much (frequently affected by the disease)”, “Working Status”, “Monthly Income”, “Family Member”, “Blood Group”, “Daily Food Intime”, “Take Spicy and Salted Food”, “Menetrier Disease”, “Previous Stomach Surgery” and so on. Conclusion The investigated outcomes of this study will help to increase awareness among the people of Bangladesh as well as the rest of the world.


Keywords: Stomach Cancer; Gastric Cancer; Preoperative Risk Factors; Statistical Analysis


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