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Accuracy of an administrative database for pancreatic cancer by international classification of disease 10(th) codes: A retrospective large-cohort study
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 classific...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6785515/ https://www.ncbi.nlm.nih.gov/pubmed/31602162 http://dx.doi.org/10.3748/wjg.v25.i37.5619 |
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author | Hwang, Young-Jae Park, Seon Mee Ahn, Soomin Lee, Jong-Chan Park, Young Soo Kim, Nayoung |
author_facet | Hwang, Young-Jae Park, Seon Mee Ahn, Soomin Lee, Jong-Chan Park, Young Soo Kim, Nayoung |
author_sort | Hwang, Young-Jae |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6785515 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-67855152019-10-10 Accuracy of an administrative database for pancreatic cancer by international classification of disease 10(th) codes: A retrospective large-cohort study Hwang, Young-Jae Park, Seon Mee Ahn, Soomin Lee, Jong-Chan Park, Young Soo Kim, Nayoung World J Gastroenterol Retrospective Cohort Study 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. Baishideng Publishing Group Inc 2019-10-07 2019-10-07 /pmc/articles/PMC6785515/ /pubmed/31602162 http://dx.doi.org/10.3748/wjg.v25.i37.5619 Text en ©The Author(s) 2019. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. |
spellingShingle | Retrospective Cohort Study Hwang, Young-Jae Park, Seon Mee Ahn, Soomin Lee, Jong-Chan Park, Young Soo Kim, Nayoung Accuracy of an administrative database for pancreatic cancer by international classification of disease 10(th) codes: A retrospective large-cohort study |
title | Accuracy of an administrative database for pancreatic cancer by international classification of disease 10(th) codes: A retrospective large-cohort study |
title_full | Accuracy of an administrative database for pancreatic cancer by international classification of disease 10(th) codes: A retrospective large-cohort study |
title_fullStr | Accuracy of an administrative database for pancreatic cancer by international classification of disease 10(th) codes: A retrospective large-cohort study |
title_full_unstemmed | Accuracy of an administrative database for pancreatic cancer by international classification of disease 10(th) codes: A retrospective large-cohort study |
title_short | Accuracy of an administrative database for pancreatic cancer by international classification of disease 10(th) codes: A retrospective large-cohort study |
title_sort | accuracy of an administrative database for pancreatic cancer by international classification of disease 10(th) codes: a retrospective large-cohort study |
topic | Retrospective Cohort Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6785515/ https://www.ncbi.nlm.nih.gov/pubmed/31602162 http://dx.doi.org/10.3748/wjg.v25.i37.5619 |
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