Published online Oct 7, 2019. doi: 10.3748/wjg.v25.i37.5619
Peer-review started: July 22, 2019
First decision: August 27, 2019
Revised: September 3, 2019
Accepted: September 11, 2019
Article in press: September 11, 2019
Published online: October 7, 2019
Processing time: 69 Days and 12.7 Hours
Pancreatic cancer (PC) is usually diagnosed at advanced stages, resulting in the poor prognosis. Large-cohort studies should be performed to evaluate epidemiology and prognosis of PC. However, there are not enough researches about the accuracy of administrative database to avoid coding discrepancies. This study identified accuracy of the administrative large-cohort database of PC. This study is important to support the validation of other large cohort study for PC.
Administrative database was useful for research because of easy access and much information. So, administrative database has been widely used for medical research. However accuracy of the administrative database may be problem. In addition, it was difficult to perform study to identify this. We tried to examine each case and prove accuracy of database of PC. Future study using administrative database of PC should be supported by this study.
We evaluated the accuracy and usefulness of administrative database in PC. In addition, we identified much the doctors insert the accurate ICD codes for PC with location.
We evaluated the diagnostic accuracy of PC according to tumor sites from total of 1846 cases with PC and controls. To enhance the study reliability, three reviewers carefully examined medical records and compared the final decisions for each case. After reviewing, we calculated the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). In addition, we analyzed patients with ICD 10-code of PC with primary location.
Among PC, 1428 (77.4%) cases were registered as unspecified PC, and only 410 (22.2%) cases could be identified with specific cancer sites. For overall diagnostic criteria of PC, the sensitivity and specificity of ICD-10 codes for PC were 99.95% and 98.72%, respectively. The PPV and NPV were 98.70% and 99.95%, respectively.
We showed accuracy of administrative database of PC in seoul national university Bundang hospital. In addition, we identified the location of PC to usefulness of database. Administrative database is useful and important for research. However, validation of database is necessary. From this result, study based on administrative database might be reliable. Future study with administrative database of PC could receive credibility from this result. In addition, this study presented a research method how to identify validation of administrative database.
We thought that future study involved multiple institute should be planned. In addition, it is important to gather data in a unified way. We think there is a need for researches for accuracy of administrative database on other disease. These researches should be necessary for studies base on administrative database.