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Accuracy of administrative claim data for gastric adenoma after endoscopic resection

  • Ga Yeong Shin
  • , Hyun Ho Choi
  • , Jae Myung Park
  • , Sang Yoon Kim
  • , Jun Young Park
  • , Donghoon Kang
  • , Yu Kyung Cho
  • , Sung Soo Kim
  • , Myung Gyu Choi
  • Catholic Univ. of Korea Coll. Med.
  • Hanyang University

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Background/Aims: Administrative databases provide valuable information for large-cohort studies. This study aimed to evaluate the diagnostic accuracy of an administrative database for resected gastric adenomas. Methods: Data of patients who underwent endoscopic resection for benign gastric lesions were collected from three hospitals. Gastric adenoma cases were identified in the hospital database using International Classification of Diseases (ICD) 10-codes. The non-adenoma group included patients without gastric adenoma codes. The diagnostic accuracy for gastric adenoma was analyzed based on the pathological reports of the resected specimen. Results: Among 5,095 endoscopic resections with codes for benign gastric lesions, 3,909 patients were included in the analysis. Among them, 2,831 and 1,078 patients were allocated to the adenoma and non-adenoma groups, respectively. Regarding the overall diagnosis of gastric adenoma with ICD-10 codes, the sensitivity, specificity, positive predictive value, and negative predictive value were 98.7%, 88.5%, 95.2%, and 96.8%, respectively. There were no significant differences in these parameters between the tertiary and secondary centers. Conclusions: Administrative codes of gastric adenoma, according to ICD-10 codes, showed good accuracy and can serve as a useful tool to study prognosis of these patients in real-world data studies in the future.

Original languageEnglish
Pages (from-to)325-332
Number of pages8
JournalClinical Endoscopy
Volume56
Issue number3
DOIs
StatePublished - May 2023

Bibliographical note

Publisher Copyright:
Copyright © 2023 Korean Society of Gastrointestinal Endoscopy.

Keywords

  • Data accuracy
  • Endoscopic mucosal resection
  • International classification of diseases
  • Stomach neoplasms

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