ArticleGastroenterology and hepatology from bed to bench2020
Mortality risk factors in patients with gastric cancer using Bayesian and ordinary Lasso logistic models: a study in the Southeast of Iran.
Article in Gastroenterology and hepatology from bed to bench, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 10 citations in OpenAlex.
- Long-Term Survival of Patient with End-Stage Renal Disease Using Bayesian Mixture Cure Rate Frailty Models.Iranian journal of public health · 2024Article
- Metabolomics by NMR Combined with Machine Learning to Predict Neoadjuvant Chemotherapy Response for Breast Cancer.Cancers · 2022Article
- Pretreatment nutritional status is associated with quality of life in patients with gastric cancer: a cross-sectional study from Iran.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022Article
- Bayesian statistics versus classical statistics in survival analysis: an applicable example.American journal of cardiovascular disease · 2021Article
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Authors and funding
3 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
aimThe aim of this study was to apply two types of statistical models to determine the factors that influence the mortality rate in patients with gastric cancer.
backgroundIn Iran, gastric cancer ranks the first and second most prevalent among men and women, respectively. It is the first cause of death in Iran in both gendersival.
methodsIn this retrospective study, data were obtained from 339 (216 male) patients diagnosed with gastric cancer in the city of Kerman (South-East of Iran) during 2001-2015. In this study, ordinary and Bayesian Lasso (least absolute shrinkage and selection operator) logistic regression models, with goodness-of-fit indices, were compared and the models' risk factors were also determined.
resultsThe mean age of the participants was 62.84 ±14.53 years, and 12.4% of them were younger than 45 years. Also, the mortality rate was 57.7%. Gender, morphology of the tumor, and time of diagnosis were found to be significant factors in the mortality of the patients in both models. This study found that the Bayesian Lasso model had better fitness.
conclusionThe 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.
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32190222PMC7069537W3004549570What OpenQuestion holds
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