Literature DB >> 25436326

Endoscopic surveillance can increase the chance of resectability and endoscopic treatment in gastric cancer.

Ji Yong Ahn, Sung Hoon Nam, Hwoon-yong Jung, Ji Young Choi, Jeong Hoon Lee, Kwi-Sook Choi, Do Hoon Kim, Kee Don Choi, Ho June Song, Gin Hyug Lee, Jin-Ho Kim, Seungbong Han.   

Abstract

BACKGROUND/AIMS: Little is known about the effects of periodic endoscopic screening before detection of primary gastric cancer. We compared clinical outcomes in patients who did and did not undergo endoscopy before diagnosis.
METHODS: Between January 2009 and November 2011, 769 patients were referred to Asan Medical Center after diagnosis of gastric cancer. Clinical outcomes were compared in patients who had (n=512) and had not (n=257) undergone endoscopic screening before diagnosis of gastric cancer. Factors about resectability and possibility of endoscopic resection were analyzed.
RESULTS: In the nonexamined group, 225 patients (87.5%) had resectable gastric cancers and were treated surgically (n=151, 67.1%) or by endoscopic resection (n=74, 32.9%). In the examined group, 493 (96.3%) had resectability and were resected surgically (n=243, 49.3%) or endoscopically (n=250, 50.7%). Multivariate analysis showed that symptoms, no endoscopic screening, and lower serum albumin were associated with unresectability. Of the 718 resectable tumors, 394 underwent surgery and 324 underwent endoscopic resection. Multivariate analysis showed that older age, no symptoms, ≤1 year interval endoscopy, and higher serum albumin were associated with endoscopic resection.
CONCLUSIONS: Previous endoscopy can increase gastric cancer resectability. Moreover, a ≤1 year interval from endoscopic examination can increase the possibility of endoscopic resection.

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Year:  2014        PMID: 25436326

Source DB:  PubMed          Journal:  Hepatogastroenterology        ISSN: 0172-6390


  2 in total

1.  A Comparison of Logistic Regression Against Machine Learning Algorithms for Gastric Cancer Risk Prediction Within Real-World Clinical Data Streams.

Authors:  Robert J Huang; Nicole Sung-Eun Kwon; Yutaka Tomizawa; Alyssa Y Choi; Tina Hernandez-Boussard; Joo Ha Hwang
Journal:  JCO Clin Cancer Inform       Date:  2022-06

2.  A Summary of the 2020 Gastric Cancer Summit at Stanford University.

Authors:  Robert J Huang; Howard Koh; Joo Ha Hwang
Journal:  Gastroenterology       Date:  2020-07-21       Impact factor: 22.682

  2 in total

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