2014
DOI: 10.7314/apjcp.2014.15.14.5835
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Factors Predicting Survival of Patients with Gastric Cancer

Abstract: Background: Gastric cancer is one of the most common causes of cancer death in Taiwan. The literature has previously shown that age, tumor site, T categories, and number of metastatic nodes significantly affect prognosis. The aim of this study was to determine the long-term survival of patients with gastric cancer, as well as the effect of particular prognostic factors on survival. Materials and Methods: This was a survival analysis study with retrospective design. We reviewed the records of 64 patients with a… Show more

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Cited by 13 publications
(9 citation statements)
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“…Moreover, the prognosis of affected patients is usually poor due to the fact that most cases are diagnosed after age 50 and presented at advanced stage (Lin et al, 2014, Rahman et al, 2014. Therefore, several efforts have focused on how to prevent the development of gastric cancer.…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, the prognosis of affected patients is usually poor due to the fact that most cases are diagnosed after age 50 and presented at advanced stage (Lin et al, 2014, Rahman et al, 2014. Therefore, several efforts have focused on how to prevent the development of gastric cancer.…”
Section: Discussionmentioning
confidence: 99%
“…Due to the high incidence of gastric cancer, Japan developed the effective gastric cancer screening and H. pylori eradication program for prevention and early detection of this cancer (Asaka et al, 2014;Lin et al, 2014;Sano et al, 2014). In Thailand, gastric cancer is the sixth most common cancer in males and ninth in females.…”
Section: Clinical Characteristics and Helicobacter Pylori Status Of Gmentioning
confidence: 99%
“…The association of nutritional status and mortality has been reported by others, who have used objective and subjective parameters in patients with different types of cancer (32)(33)(34). However, to our knowledge, this is the first study to assess the relationship between weight loss, HGS, and PA and mortality, using regression models, which help control for potential bias.…”
Section: Discussionmentioning
confidence: 89%