Research Using Big Data in Gastroenterology: Based on the Outcomes from Big Data Research Group of the Korean Society of Gastroenterology

Jie-Hyun Kim; Hyunsoo Chung; Hyun-Soo Kim; Su Young Kim; Jae Myung Cha; Chang Kyun Lee; Byung Kyu Park; Sohee Park

doi:10.4166/kjg.2020.75.1.4

Journal List > Korean J Gastroenterol > v.75(1) > 1142222

Go to TopGo to Top Go to BottomGo to Bottom

TOOLS

Kim, Chung, Kim, Kim, Cha, Lee, Park, Park, and Big Data Research Group of the Korean Society of Gastroenterology: Research Using Big Data in Gastroenterology: Based on the Outcomes from Big Data Research Group of the Korean Society of Gastroenterology

Special Article

The Korean Journal of Gastroenterology 2020; 75(1): 4-10.

Published online: 29 January 2020

DOI: https://doi.org/10.4166/kjg.2020.75.1.4

Research Using Big Data in Gastroenterology: Based on the Outcomes from Big Data Research Group of the Korean Society of Gastroenterology

Jie-Hyun Kim, Hyunsoo Chung¹, Hyun-Soo Kim²

, Su Young Kim², Jae Myung Cha³, Chang Kyun Lee³, Byung Kyu Park⁴, Sohee Park⁵; Big Data Research Group of the Korean Society of Gastroenterology

Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.

¹Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.

²Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.

³Department of Internal Medicine, Kyung Hee University College of Medicine, Seoul, Korea.

⁴Division of Gastroenterology, National Health Insurance Service Ilsan Hospital, Goyang, Korea.

⁵Graduate School of Public Health, Yonsei University, Seoul, Korea.

Correspondence to: Hyun-Soo Kim, Department of Internal Medicine, Yonsei University Wonju College of Medicine, 20 Ilsan-dong, Wonju 26426, Korea. Tel: +82-33-741-0505, Fax: +82-33-741-1228, hyskim@yonsei.ac.kr

Received 27 November 2019 Revised 9 December 2019 Accepted 9 December 2019

Korean Society of Gastroenterology

(open-access):

This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The Big Data Research Committee of the Korean Society of Gastroenterology conducted activities and researches with three goals. First, it provides the basis for proper and cost-effective treatment of digestive diseases in Korea. Second, it carries out population-level global research by establishing a system of big data analysis related to gastroenterology. Third, it provides the members of the Korean Society of Gastroenterology with the opportunity to plan and assess the public interest related to big data. The studies published by the committee members in this paper were carried out under these objectives, and the findings are believed to have achieved the public interest goals that may be helpful in the current medical and health policy. The construction of the big data infrastructure for digestive drugs is also underway, and we expect to see meaningful results pertaining to important digestive drugs. Research using public health medical big data, such as the National Health Insurance Corporation data base, should ultimately provide a basis for reflecting public messages and policies for the public. To this end, it is necessary for Korean researchers to lead efforts to lower the barriers and to approach relevant information and opportunities using big data research.

Keywords: Research, Big data, Gastroenterology

Notes

^{Financial support} This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (Ministry of Science and ICT) (No. 2019R1A2C1007859) and a grant from the National R&D Program for Cancer Control, Ministry of Health & Welfare, Republic of Korea (HA17C0046).

^{Conflict of interest} None.

References

1. Lieberman DA, Rex DK, Winawer SJ, Giardiello FM, Johnson DA, Levin TR. Guidelines for colonoscopy surveillance after screening and polypectomy: a consensus update by the US multi-society task force on colorectal cancer. Gastroenterology. 2012; 143:844–857.

2. Bressler B, Paszat LF, Chen Z, Rothwell DM, Vinden C, Rabeneck L. Rates of new or missed colorectal cancers after colonoscopy and their risk factors: a population-based analysis. Gastroenterology. 2007; 132:96–102.

3. Sanduleanu S, le Clercq CM, Dekker E, et al. Definition and taxonomy of interval colorectal cancers: a proposal for standardising nomenclature. Gut. 2015; 64:1257–1267.

4. Baxter NN, Sutradhar R, Forbes SS, Paszat LF, Saskin R, Rabeneck L. Analysis of administrative data finds endoscopist quality measures associated with postcolonoscopy colorectal cancer. Gastroenterology. 2011; 140:65–72.

5. Rutter MD, Beintaris I, Valori R, et al. World endoscopy organization consensus statements on post-colonoscopy and postimaging colorectal cancer. Gastroenterology. 2018; 155:909–925.e3.

6. Cha JM, Kim HS, Kwak MS, et al. Features of postcolonoscopy colorectal cancer and survival times of patients in Korea. Clin Gastroenterol Hepatol. 2019; 17:786–788.

7. Cha JM, Kwak MS, Kim HS, et al. Real-world national colonoscopy volume in Korea: a nationwide population-based study over 12 years. Gut Liver. 2019; 09. 19. [Epub ahead of print].

8. Choi KS, Jun JK, Park EC, et al. Performance of different gastric cancer screening methods in Korea: a population-based study. PLoS One. 2012; 7:e50041.

9. Jun JK, Choi KS, Lee HY, et al. Effectiveness of the Korean national cancer screening program in reducing gastric cancer mortality. Gastroenterology. 2017; 152:1319–1328.e7.

10. Choi KS, Jun JK, Suh M, et al. Effect of endoscopy screening on stage at gastric cancer diagnosis: results of the national cancer screening programme in Korea. Br J Cancer. 2015; 112:608–612.

11. Park SH, Kim YJ, Rhee KH, et al. A 30-year trend analysis in the epidemiology of inflammatory bowel disease in the Songpa-Kangdong district of Seoul, Korea in 1986-2015. J Crohns Colitis. 2019; 13:1410–1417.

12. Benchimol EI, Manuel DG, Guttmann A, et al. Changing age demographics of inflammatory bowel disease in Ontario, Canada: a population-based cohort study of epidemiology trends. Inflamm Bowel Dis. 2014; 20:1761–1769.

13. Melesse DY, Lix LM, Nugent Z, et al. Estimates of disease course in inflammatory bowel disease using administrative data: a population-level study. J Crohns Colitis. 2017; 11:562–570.

14. Coward S, Clement F, Benchimol EI, et al. Past and future burden of inflammatory bowel diseases based on modeling of population-based data. Gastroenterology. 2019; 156:1345–1353.e4.

15. Kim HJ, Hann HJ, Hong SN, et al. Incidence and natural course of inflammatory bowel disease in Korea, 2006–2012: a nationwide population-based study. Inflamm Bowel Dis. 2015; 21:623–630.

16. Jung YS, Han M, Kim WH, Park S, Cheon JH. Incidence and clinical outcomes of inflammatory bowel disease in South Korea, 2011-2014: a nationwide population-based study. Dig Dis Sci. 2017; 62:2102–2112.

17. Bae JM, Lee HH, Lee BI, et al. Incidence of psoriasiform diseases secondary to tumour necrosis factor antagonists in patients with inflammatory bowel disease: a nationwide population-based cohort study. Aliment Pharmacol Ther. 2018; 48:196–205.

18. Chang K, Lee HS, Kim YJ, et al. Increased risk of herpes zoster infection in patients with inflammatory bowel diseases in Korea. Clin Gastroenterol Hepatol. 2018; 16:1928–1936.e2.

19. Lee CK, Ha HJ, Oh SJ, et al. Nationwide validation study of diagnostic algorithms for inflammatory bowel disease in Korean National Health Insurance Service database. J Gastroenterol Hepatol. 2019; 09. 09. [Epub ahead of print].

20. Kim JW, Lee CK, Rhee SY, Oh CH, Shim JJ, Kim HJ. Trends in health-care costs and utilization for inflammatory bowel disease from 2010 to 2014 in Korea: a nationwide population-based study. J Gastroenterol Hepatol. 2018; 33:847–854.

21. Kim JW, Lee CK, Lee JK, et al. Long-term evolution of direct healthcare costs for inflammatory bowel diseases: a population-based study (2006-2015). Scand J Gastroenterol. 2019; 54:419–426.

22. Ando T, Tsuyuguchi T, Okugawa T, et al. Risk factors for recurrent bile duct stones after endoscopic papillotomy. Gut. 2003; 52:116–121.

23. Lai KH, Lo GH, Lin CK, et al. Do patients with recurrent choledocholithiasis after endoscopic sphincterotomy benefit from regular follow-up? Gastrointest Endosc. 2002; 55:523–526.

24. Boerma D, Rauws EA, Keulemans YC, et al. Wait-and-see policy or laparoscopic cholecystectomy after endoscopic sphincterotomy for bile-duct stones: a randomised trial. Lancet. 2002; 360:761–765.

25. Lau JY, Leow CK, Fung TM, et al. Cholecystectomy or gallbladder in situ after endoscopic sphincterotomy and bile duct stone removal in Chinese patients. Gastroenterology. 2006; 130:96–103.

26. Heo J, Jung MK, Cho CM. Should prophylactic cholecystectomy be performed in patients with concomitant gallstones after endoscopic sphincterotomy for bile duct stones? Surg Endosc. 2015; 29:1574–1579.

27. Lai KH, Lin LF, Lo GH, et al. Does cholecystectomy after endoscopic sphincterotomy prevent the recurrence of biliary complications? Gastrointest Endosc. 1999; 49(4 Pt 1):483–487.

28. Park BK, Seo JH, Jeon HH, et al. A nationwide population-based study of common bile duct stone recurrence after endoscopic stone removal in Korea. J Gastroenterol. 2018; 53:670–678.

29. Suissa S. Immortal time bias in observational studies of drug effects. Pharmacoepidemiol Drug Saf. 2007; 16:241–249.

30. Lévesque LE, Hanley JA, Kezouh A, Suissa S. Problem of immortal time bias in cohort studies: example using statins for preventing progression of diabetes. BMJ. 2010; 340:b5087.

31. Dafni U. Landmark analysis at the 25-year landmark point. Circ Cardiovasc Qual Outcomes.

TOOLS

ORCID iDs: Hyun-Soo Kim
https://orcid.org/0000-0001-7190-0362
Similar articles