Skip to main content
Log in

Initial verification of data from a clinical database of gastroenterological surgery in Japan

  • Original Article
  • Published:
Surgery Today Aims and scope Submit manuscript

Abstract

Purposes

To evaluate the reliability of data collected from the gastroenterological section of the National Clinical Database of Japan (NCD), which began registrations in 2011 with ten surgical subspecialty societies.

Methods

During 2014 and 2015, 1,136,700 cases involving 115 procedures at 4374 hospitals were registered in the gastroenterological surgery section of the NCD. After a test audit using the 2014 data, 17 hospitals were selected for the first audit and data verification for 2015. The data accuracy of patient demographics, surgical outcomes, and processes was assessed using 45 items from the cases registered, in comparison with the medical records.

Results

In the first audit of the 2015 data, case registration accuracy verification involved 338 patients (99.4% of the extracted cases). The data accuracy with the maximum postoperative variables was > 95%. Accuracy of the mortality and status 30 days after the surgery was high (> 99%) with a sensitivity of 1.00 and a specificity of 1.00. Among the six complications studied, the recorded cases had high specificity but lower sensitivity (0.70–0.89).

Conclusions

We verified the data from the gastroenterological section of the NCD and found high accuracy of data entry.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Gotoh M, Miyata H, Hashimoto H, Wakabayashi G, Konno H, Miyakawa S, et al. National Clinical Database feedback implementation for quality improvement of cancer treatment in Japan: from good to great through transparency. Surg Today. 2016;46:38–47.

    Article  PubMed  Google Scholar 

  2. Miyata H, Gotoh M, Hashimoto H, Motomura N, Murakami A, Tomotaki A, et al. Challenges and prospects of a clinical database linked to the board certification system. Surg Today. 2014;44:1991–9.

    Article  PubMed  Google Scholar 

  3. Watanabe M, Miyata H, Gotoh M, Baba H, Kimura W, Tomita N, et al. Total gastrectomy risk model: data from 20,011 Japanese patients in a nationwide internet-based database. Ann Surg. 2014;260:1034–9.

    Article  PubMed  Google Scholar 

  4. Kimura W, Miyata H, Gotoh M, Hirai I, Kenjo A, Kitagawa Y, et al. A pancreaticoduodenectomy risk model derived from 8575 cases from a national single-race population (Japanese) using a web-based data entry system: the 30-day and in-hospital mortality rates for pancreaticoduodenectomy. Ann Surg. 2014;259:773–80.

    Article  PubMed  Google Scholar 

  5. Kobayashi H, Miyata H, Gotoh M, Baba H, Kimura W, Kitagawa Y, et al. Risk model for right hemicolectomy based on 19,070 Japanese patients in the National Clinical Database. J Gastroenterol. 2014;49:1047–55.

    Article  Google Scholar 

  6. Kenjo A, Miyata H, Gotoh M, Kitagawa Y, Shimada M, Baba H, et al. Risk stratification of 7732 hepatectomy cases in 2011 from the National Clinical Database for Japan. J Am Coll Surg. 2014;218:412–22.

    Article  PubMed  Google Scholar 

  7. Takeuchi H, Miyata H, Gotoh M, Kitagawa Y, Baba H, Kimura W, et al. A risk model for esophagectomy using data of 5354 patients included in a Japanese nationwide web-based database. Ann Surg. 2014;260:259–66.

    Article  PubMed  Google Scholar 

  8. Matsubara N, Miyata H, Gotoh M, Tomita N, Baba H, Kimura W, et al. Mortality after common rectal surgery in Japan: a study on low anterior resection from a newly established nationwide large-scale clinical database. Dis Colon Rectum. 2014;57:1075–81.

    Article  PubMed  Google Scholar 

  9. Nakagoe T, Miyata H, Gotoh M, Anazawa T, Baba H, Kimura W, et al. Surgical risk model for acute diffuse peritonitis based on a Japanese nationwide database: an initial report on the surgical and 30-day mortality. Surg Today. 2015;45:1233–43.

    Article  PubMed  Google Scholar 

  10. Kurita N, Miyata H, Gotoh M, Shimada M, Imura S, Kimura W, et al. Risk model for distal gastrectomy when treating gastric cancer based on data from 33,917 Japanese patients collected using a nationwide we-based data entry system. Ann Surg. 2015;262:295–303.

    Article  PubMed  Google Scholar 

  11. Anazawa T, Paruch JL, Miyata H, Gotoh M, Ko CY, Cohen ME, et al. Comparison of national operative mortality in gastroenterological surgery using web-based prospective data entry systems. Medicine (Baltimore). 2015;94:e2194.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Shiloach M, Frencher SK Jr, Steeger JE, Rowell KS, Bartzokis K, Tomeh MG, et al. Toward robust information: data quality and inter-rater reliability in the American College of Surgeons National Surgical Quality Improvement Program. J Am Coll Surg. 2010;210:6–16.

    Article  PubMed  Google Scholar 

  13. Tomotaki A, Miyata H, Hashimoto H, Murakami A, Ono M. Results of data verification of the Japan congenital cardiovascular database, 2008 to 2009. World J Pediatr Congenit Heart Surg. 2014;5:47–53.

    Article  PubMed  Google Scholar 

  14. Kneuertz PJ, Pitt HA, Bilimoria KY, et al. Risk of morbidity and mortality following hepato-pancreato-biliary surgery. J Gastrointest Surg. 2012;16:1727–35.

    Article  PubMed  Google Scholar 

  15. Epelboym I, Gawlas I, Lee JA, Schrope B, Chabot JA, Allendorf JD. Limitations of ACS-NSQIP in reporting complications for patients undergoing pancreatectomy: underscoring the need for a pancreas-specific module. World J Surg. 2014;38:1461–7.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We thank all individuals and academics from the JSGS who extended their cooperation as well as all of the data managers and hospitals that cooperated in these audit activities. We also thank all auditors below as the members of the JSGS database (Akinobu Taketomi, Akira Tangoku, Chikara Kunisaki, Harushi Udagawa, Itaru Endo, Tadahiko Masaki), the members of NCD data quality management subcommittee (Akira Sasaki, Fuyuhiko Motoi, Hideaki Kimura, Kazushige Kawai, Kinji Kamiya, Masaaki Yokoyama, Masaki Ueno, Shinichiro Mori, Shoichi Fujii, Takayuki Anazawa, Tatsuhiko Kakisaka, Yoshihito Furukita, Yoshiyuki Sasaki), and the members of NCD data quality management subcommittee working group (Hiroshi Hasegawa, Kenji Wakayama, Kunihito Gotoh, Kyohei Ariake, Satoshi Iino, Takashi Kosaka, Takahiro Yoshida, Yuji Akiyama, Zenichiro Saze).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shingo Kanaji.

Ethics declarations

Conflict of interest

We have no conflicts of interest to declare.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kanaji, S., Takahashi, A., Miyata, H. et al. Initial verification of data from a clinical database of gastroenterological surgery in Japan. Surg Today 49, 328–333 (2019). https://doi.org/10.1007/s00595-018-1733-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00595-018-1733-9

Keywords

Navigation