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World J Gastroenterol. 2019;25(37):5619-5629.

Accuracy of an administrative database for pancreatic cancer by international classification of disease 10th codes: A retrospective large-cohort study.

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제1저자 황영재, 박선미 · 교신저자 김나영

소속 (4)
  1. Departments of Internal Medicine, Seoul National University Bundang Hospital, Seoungnam 13620, South Korea.
  2. Department of Internal Medicine, Chungbuk National University College of Medicine and Medical Research Institute, Cheongju 28644, South Korea.
  3. Departments of Pathology, Seoul National University Bundang Hospital, Seoungnam 13620, South Korea.
  4. Departments of Internal Medicine, Seoul National University Bundang Hospital, Seoungnam 13620, South Korea. nakim49@snu.ac.kr.

Abstract

BACKGROUND Korean National Health Insurance (NHI) claims database provides large-cohort. However, studies regarding accuracy of administrative database for pancreatic cancer (PC) have not been reported. We aimed to identify accuracy of NHI database regarding PC classified by international classification of disease (ICD)-10 codes.

AIM To identify the accuracy and usefulness of administrative database in PC and the accurate ICD codes for PC with location.

METHODS Study and control groups were collected from 2003 to 2016 at Seoul National University Bundang Hospital. Cases of PC were identified in NHI database by international classification of diseases, 10th revision edition (ICD-10 codes) supported with V codes. V code is issued by medical doctors for covering 95% of medical cost by Korean government. According to pathologic reports, definite or possible diagnoses were defined using medical records, images, and pathology.

RESULTS A total of 1846 cases with PC and controls were collected. Among PC, only 410 (22.2%) cases were identified as specific cancer sites including head in 234 (12.7%) cases, tail in 104 (5.6%) cases and body in 72 (3.9%) cases. Among PC, 910 (49.3%) cases were diagnosed by definite criteria. Most of these were adenocarcinoma (98.0%). The rates of definite diagnosis of PC were highest in head (70.1%) followed by body (47.2%) and tail (43.3%). False-positive cases were pancreatic cystic neoplasm and metastasis to the pancreas. In terms of the overall diagnosis of PC, sensitivity, specificity, positive predictive value, and negative predictive value were 99.95%, 98.72%, 98.70%, and 99.95%, respectively. Diagnostic accuracy was similar both in terms of diagnostic criteria and tumor locations.

CONCLUSION Korean NHI claims database collected according to ICD-10 code with V code for PC showed good accuracy.

©The Author(s) 2019. Published by Baishideng Publishing Group Inc. All rights reserved.

Keywords

AccuracyInternational classification of diseaseKorean national health insurancePancreatic cancerSensitivitySpecificity

Figures

Figure 1
Figure 1 Proposed study algorithm for the inclusion and classification of subjects. ICD: International classification of diseases; PC: Pancreatic cancer; EUS: Endoscopic ultrasound; ERCP: Endoscopic retrograde cholangiopancreatography; CT: Computerized tomography; MRI: Magnetic resonance imaging; PET: Positron emission tomography.

그림 출처: PubMed Central 공개 논문 (PMC6785515)

Conflict of interest statement

Conflict-of-interest statement: The authors have no conflicts of interest to disclose.

그 밖의 정보
출판 형태
Evaluation Study, Journal Article
저널
World journal of gastroenterology · eISSN 2219-2840
MeSH
Aged · Data Collection / methods / statistics & numerical data · Database Management Systems / statistics & numerical data · Databases, Factual / statistics & numerical data · Electronic Health Records / statistics & numerical data · Female · Hospitals, University / statistics & numerical data · Humans · International Classification of Diseases · Male · Middle Aged · Pancreas / pathology · Pancreatic Neoplasms / diagnosis / epidemiology / pathology · Republic of Korea / epidemiology · Retrospective Studies · Sensitivity and Specificity
참고문헌
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