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Validation of Administrative Big Database for Colorectal Cancer Searched by International Classification of Disease 10th Codes in Korean: A Retrospective Big-cohort Study.
Hwang, Young-Jae; Kim, Nayoung; Yun, Chang Yong; Yoon, Hyuk; Shin, Cheol Min; Park, Young Soo; Son, Il Tae; Oh, Heung-Kwon; Kim, Duck-Woo; Kang, Sung-Bum; Lee, Hye Seung; Park, Seon Mee; Lee, Dong Ho.
Afiliação
  • Hwang YJ; Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
  • Kim N; Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
  • Yun CY; Department of Internal Medicine and Institute of Liver Research, Seoul National University College of Medicine, Seoul, Korea.
  • Yoon H; Tumor Microenvironment Global Core Research Center, Seoul National University, Seoul, Korea.
  • Shin CM; Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
  • Park YS; Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
  • Son IT; Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
  • Oh HK; Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
  • Kim DW; Department of Surgery, Seoul National University Bundang Hospital, Seongnam, Korea.
  • Kang SB; Department of Surgery, Seoul National University Bundang Hospital, Seongnam, Korea.
  • Lee HS; Department of Surgery, Seoul National University Bundang Hospital, Seongnam, Korea.
  • Park SM; Department of Surgery, Seoul National University Bundang Hospital, Seongnam, Korea.
  • Lee DH; Department of Pathology, Seoul National University Bundang Hospital, Seongnam, Korea.
J Cancer Prev ; 23(4): 183-190, 2018 Dec.
Article em En | MEDLINE | ID: mdl-30671401
ABSTRACT

BACKGROUND:

As the number of big-cohort studies increases, validation becomes increasingly more important. We aimed to validate administrative database categorized as colorectal cancer (CRC) by the International Classification of Disease (ICD) 10th code.

METHODS:

Big-cohort was collected from Clinical Data Warehouse using ICD 10th codes from May 1, 2003 to November 30, 2016 at Seoul National University Bundang Hospital. The patients in the study group had been diagnosed with cancer and were recorded in the ICD 10th code of CRC by the National Health Insurance Service. Subjects with codes of inflammatory bowel disease or tuberculosis colitis were selected for the control group. For the accuracy of registered CRC codes (C18-21), the chart, imaging results, and pathologic findings were examined by two reviewers. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for CRC were calculated.

RESULTS:

A total of 6,780 subjects with CRC and 1,899 control subjects were enrolled. Of these patients, 22 subjects did not have evidence of CRC by colonoscopy, computed tomography, magnetic resonance imaging, or positron emission tomography. The sensitivity and specificity of hospitalization data for identifying CRC were 100.00% and 98.86%, respectively. PPV and NPV were 99.68% and 100.00%, respectively.

CONCLUSIONS:

The big-cohort database using the ICD 10th code for CRC appears to be accurate.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article