Mortality risk factors in patients with gastric cancer using Bayesian and ordinary Lasso logistic models: a study in the Southeast of Iran
Gastroenterology and Hepatology from Bed to Bench,
Vol. 13 No. 1 (2020),
22 January 2020
,
Page 31-36
https://doi.org/10.22037/ghfbb.v13i1.1732
Abstract
Aim: The aim of this study was to apply 2 types of statistical models to determine the factors that influence the mortality rate in patients with gastric cancer.
Background: In Iran, gastric cancer ranks the first and second among men and women, respectively. This cancer is the first cause of death in Iran in both sexes.
Materials and Methods: In the present study, data were obtained from 339 (216 male) patients diagnosed with gastric cancer in city of Kerman (South-East of Iran) during 2001-2015. In this study, ordinary and Bayesian Lasso logistic regression models, with goodness-of-fit indexes, were compared and the models' risk factors were also determined.
Results: The mean age of the participants was 62.84 ±14.53 years, and 12.4% of them were younger than 45 years. Also, mortality rate was 57.7%. Sex, morphology of the tumor, and time of diagnosis were found to be significant factors in the survival of the patients in both models. This study found that the Bayesian Lasso model had better fitness.
Conclusion: The high mortality rate of gastric cancer and its high prevalence at age below 45 years are alarming. Thus, great attention should be paid to prevention, early diagnosis, especially in females, and adenocarcinoma to improve the survival of patients with gastric cancer.
- Gastric cancer
- Risk factors
- Iran
- Lasso regression
- Bayesian
How to Cite
References
Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: a cancer journal for clinicians. 2018;68(6):394-424.
Zali H, Rezaei-Tavirani M, Azodi M. Gastric cancer: prevention, risk factors and treatment. Gastroenterology and hepatology from bed to bench. 2011;4(4):175-85.
Derakhshan MH, Yazdanbod A, Sadjadi AR, Shokoohi B, McColl KEL, Malekzadeh R. High incidence of adenocarcinoma arising from the right side of the gastric cardia in NW Iran. Gut. 2004;53(9):1262-6.
Stock M, Otto F. Gene deregulation in gastric cancer. Gene. 2005;360(1):1-19.
Mousavi SK, Janbabai G, Kouchaki B, Borhani H, Rashidi M, Salehifar E. Demographic and clinical characteristics of gastric cancer patients in north of Iran, Mazandaran province, 2008-2014. Pharmaceutical and Biomedical Research. 2015;1(1):32-6.
Khajedaluee M, Dadgarmoghaddam M, Saeedi R, Izadi-Mood Z, Abrishami M, Zamani M. Mortality, morbidity, survival, and burden of top 9 cancers in a developing country. Razavi International Journal of Medicine. 2014;2(3).
Khoshdel AR, Ziaei M, Ghaffari HR, Azadi S, Alimohamadi Y. The Prediction Number of New Cases and Death of Gastric Cancer Among Iranian Military Community During 2007-2019. Multidisciplinary Cancer Investigation. 2018;2(2):14-9.
McColl KEL. Screening for early gastric cancer. Gut. 2005;54(6):740-2.
Tibshirani R. Regression Shrinkage and Selection Via the Lasso. J R Stat Soc Series B Stat Methodol. 1996;58(1):267-88.
Roberts S, Nowak G. Stabilizing the lasso against cross-validation variability. Comput Stat Data Anal. 2014;70:198-211.
Park T, Casella G. The Bayesian Lasso. Journal of the American Statistical Association. 2008;103(482):681-6.
Zucknick M, Saadati M, Benner A. Nonidentical twins: Comparison of frequentist and Bayesian lasso for Cox models. Biometrical journal Biometrische Zeitschrift. 2015;57(6):959-81.
Etemadi M, Pourian M, Shakib A, Sabokbar T, Peyghanbari V, Shirkoohi R. A registry program for familial gastric cancer patients referred to Cancer Institute of Iran. Asian Pacific journal of cancer prevention : APJCP. 2014;15(5):2141-4.
Al-Refaie WB, Hu CY, Pisters PW, Chang GJ. Gastric adenocarcinoma in young patients: a population-based appraisal. Annals of surgical oncology. 2011;18(10):2800-7.
Chang C-C, Chen C-C, Chiu H-F, Yang C-Y. Higher parity associated with higher risk of death from gastric cancer. World journal of gastroenterology. 2011;17(6):784-8.
Paknazar F, Mahmoudi M, Mohammad K, Zeraati H, Mansournia MA, Yaseri M. Estimating the Net Survival of Patients with Gastric Cancer in Iran in a Relative Survival Framework. Iranian journal of medical sciences. 2018;43(6):605-11.
Goshayeshi L, Hoseini B, Yousefli Z, Khooie A, Etminani K, Esmaeilzadeh A, et al. Predictive model for survival in patients with gastric cancer. Electronic physician. 2017;9(12):6035-42.
Park JH, Ryu MH, Kim HJ, Ryoo BY, Yoo C, Park I, et al. Risk factors for selection of patients at high risk of recurrence or death after complete surgical resection in stage I gastric cancer. Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association. 2016;19(1):226-33.
Claassen YHM, Hartgrink HH, Dikken JL, de Steur WO, van Sandick JW, van Grieken NCT, et al. Surgical morbidity and mortality after neoadjuvant chemotherapy in the CRITICS gastric cancer trial. European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology. 2018;44(5):613-9.
Sakar B, Karagol H, Gumus M, Basaran M, Kaytan E, Argon A, et al. Timing of death from tumor recurrence after curative gastrectomy for gastric cancer. American journal of clinical oncology. 2004;27(2):205-9.
Cho JM, Jang YJ, Kim JH, Park SS, Park SH, Mok YJ. Pattern, Timing and Survival in Patients with Recurrent Gastric Cancer. Hepato-gastroenterology. 2014;61(132):1148-53.
Yazdani Charati J, Janbabaei G, Alipour N, Mohammadi S, Ghorbani Gholiabad S, Fendereski A. Survival prediction of gastric cancer patients by Artificial Neural Network model. Gastroenterology and hepatology from bed to bench. 2018;11(2):110-7.
Korhani Kangi A, Bahrampour A. Predicting the Survival of Gastric Cancer Patients Using Artificial and Bayesian Neural Networks. Asian Pacific journal of cancer prevention : APJCP. 2018;19(2):487-90.
Midthun DE. Early detection of lung cancer. F1000Research. 2016;5:F1000 Faculty Rev-739.
Verlato G, Marrelli D, Accordini S, Bencivenga M, Di Leo A, Marchet A, et al. Short-term and long-term risk factors in gastric cancer. World journal of gastroenterology. 2015;21(21):6434-43.
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