Real-World Compliance of Surgical Treatment According to the Korean Gastric Cancer Guideline 2018: Evaluation From the Nationwide Survey Data 2019 in Korea

Eom, Sang Soo; Park, Sin Hye; Eom, Bang Wool; Man Yoon, Hong; Kim, Young-Woo; Ryu, Keun Won

doi:10.5230/jgc.2023.23.e32

J Gastric Cancer

2023

DOI: 10.5230/jgc.2023.23.e32

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Real-World Compliance of Surgical Treatment According to the Korean Gastric Cancer Guideline 2018: Evaluation From the Nationwide Survey Data 2019 in Korea

Sang Soo Eom,

Sin Hye Park,

Bang Wool Eom

et al.

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Cited by 3 publications

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Development and validation of a claims-based algorithm to identify incidents and determine the progression phases of gastric cancer cases in Japan

Inoue,

Agatsuma,

Utsumi

et al. 2024

J Gastroenterol

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Background Although health insurance claims data can address questions that clinical trials cannot answer, the uncertainty of disease names and the absence of stage information hinder their use in gastric cancer (GC) research. This study aimed to develop and validate a claims-based algorithm to identify and determine the progression phases of incident GC cases in Japan. Methods The gold standard for validation in this retrospective observational study was medical records of patients with incident GC who underwent specific treatments, defined by the claim codes associated with GC treatment. The algorithm was developed and refined using a cohort from two large tertiary care medical centers (April–September 2017 and April–September 2019) and subsequently validated using two independent cohorts: one from different periods (October 2017–March 2019 and October 2019–March 2021) and the other from a different institution (a community hospital). The algorithm identified incident cases based on a combination of the International Classification of Diseases, 10th Revision diagnosis codes for GC (C160-169), and claim codes for specific treatments, classifying them into endoscopic, surgical, and palliative groups. Positive predictive value (PPV), sensitivity of incident case identification, and diagnostic accuracy of progression phase determination were evaluated. Results The developed algorithm achieved PPVs of 90.0% (1119/1244) and 95.9% (94/98), sensitivities of 98.0% (1119/1142) and 98.9% (94/95) for incident case identification, with diagnostic accuracies of 94.1% (1053/1119) and 93.6% (88/94) for progression phase determination in the two validation cohorts, respectively. Conclusions This validated claims-based algorithm could advance real-world GC research and assist in decision-making regarding GC treatment.

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Development and validation of a claims-based algorithm to identify incidents and determine the progression phases of gastric cancer cases in Japan

Inoue,

Agatsuma,

Utsumi

et al. 2024

J Gastroenterol

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Journal of Gastric Cancer: Navigating the Future With the KGCA Guidelines and Nationwide Surveys

Park,

Lee

2023

J Gastric Cancer

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Korean Gastric Cancer Association-Led Nationwide Survey on Surgically Treated Gastric Cancers in 2023

Kim,

Song,

Park

et al. 2025

J Gastric Cancer

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Real-World Compliance of Surgical Treatment According to the Korean Gastric Cancer Guideline 2018: Evaluation From the Nationwide Survey Data 2019 in Korea

Cited by 3 publications

References 29 publications

Development and validation of a claims-based algorithm to identify incidents and determine the progression phases of gastric cancer cases in Japan

Development and validation of a claims-based algorithm to identify incidents and determine the progression phases of gastric cancer cases in Japan

Journal of Gastric Cancer: Navigating the Future With the KGCA Guidelines and Nationwide Surveys

Korean Gastric Cancer Association-Led Nationwide Survey on Surgically Treated Gastric Cancers in 2023

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