Diabetes & Metabolism Journal

Review

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Big Data Research for Diabetes-Related Diseases Using the Korean National Health Information Database: Kyung-Soo Kim, Bongseong Kim, Kyungdo Han; Diabetes Metab J. 2025;49(1):13-21. Published online January 1, 2025; DOI: https://doi.org/10.4093/dmj.2024.0780

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Abstract PDF Supplementary Material PubReader ePub: The Korean National Health Information Database (NHID), which contains nationwide real-world claims data including sociodemographic data, health care utilization data, health screening data, and healthcare provider information, is a powerful resource to test various hypotheses. It is also longitudinal in nature due to the recommended health checkup every 2 years and is appropriate for long-term follow-up study as well as evaluating the relationships between health outcomes and changes in parameters such as lifestyle factors, anthropometric measurements, and laboratory results. However, because these data are not collected for research purposes, precise operational definitions of diseases are required to facilitate big data analysis using the Korean NHID. In this review, we describe the characteristics of the Korean NHID, operational definitions of diseases used for research related to diabetes, and introduce representative research for diabetes-related diseases using the Korean NHID.

Original Article

Drug/Regimen
Efficacy and Safety of IDegAsp in a Real-World Korean Population with Type 2 Diabetes Mellitus: Shinae Kang, Yu-Bae Ahn, Tae Keun Oh, Won-Young Lee, Sung Wan Chun, Boram Bae, Amine Dahaoui, Jin Sook Jeong, Sungeun Jung, Hak Chul Jang; Diabetes Metab J. 2024;48(5):929-936. Published online February 27, 2024; DOI: https://doi.org/10.4093/dmj.2023.0297

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Background
This study investigated the real-world efficacy and safety of insulin degludec/insulin aspart (IDegAsp) in Korean adults with type 2 diabetes mellitus (T2DM), whose insulin treatment was switched to IDegAsp.
Methods
This was a multicenter, retrospective, observational study comprising two 26-week treatment periods, before and after switching to IDegAsp, respectively. Korean adults with uncontrolled T2DM treated with basal or premix insulin (±oral antidiabetic drugs) were enrolled. The primary objective was to compare the degree of glycosylated hemoglobin (HbA1c) change in each 26-week observation period. The analyses included changes in HbA1c, fasting plasma glucose (FPG), body weight, proportion of participants achieving HbA1c <7.0%, hypoglycemic events, and total daily insulin dose (ClinicalTrials.gov, number NCT04656106).
Results
In total, 196 adults (mean age, 65.95 years; mean T2DM duration, 18.99 years) were analyzed. The change in both HbA1c and FPG were significantly different between the pre-switching and the post-switching period (0.28% vs. –0.51%, P<0.001; 5.21 mg/dL vs. –23.10 mg/dL, P=0.005), respectively. After switching, the rate of achieving HbA1c <7.0% was significantly improved (5.10% at baseline vs. 11.22% with IDegAsp, P=0.012). No significant differences (before vs. after switching) were observed in body weight change, and total daily insulin dose. The rates of overall and severe hypoglycemia were similar in the two periods.
Conclusion
In real-world clinical practice in Korea, the change of insulin regimen to IDegAsp was associated with an improvement in glycemic control without increase of hypoglycemia, supporting the use of IDegAsp for patients with T2DM uncontrolled with basal or premix insulin.

Citations

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Switching from Premixed Insulin to Insulin Degludec/Insulin Aspart for the Management of Type 2 Diabetes Mellitus: Implications of a Real-World Study on Insulin Degludec Dosing
Yiming Wu, Junqing Zhang, Ang Li
Diabetes Therapy.2024; 15(12): 2515. CrossRef

Review

Others
Current Trends of Big Data Research Using the Korean National Health Information Database: Mee Kyoung Kim, Kyungdo Han, Seung-Hwan Lee; Diabetes Metab J. 2022;46(4):552-563. Published online July 27, 2022; DOI: https://doi.org/10.4093/dmj.2022.0193

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Recently, medical research using big data has become very popular, and its value has become increasingly recognized. The Korean National Health Information Database (NHID) is representative of big data that combines information obtained from the National Health Insurance Service collected for claims and reimbursement of health care services and results obtained from general health examinations provided to all Korean adults. This database has several strengths and limitations. Given the large size, various laboratory data, and questionnaires obtained from medical check-ups, their longitudinal nature, and long-term accumulation of data since 2002, carefully designed studies may provide valuable information that is difficult to obtain from other forms of research. However, consideration of possible bias and careful interpretation when defining causal relationships is also important because the data were not collected for research purposes. After the NHID became publicly available, research and publications based on this database have increased explosively, especially in the field of diabetes and metabolism. This article reviews the history, structure, and characteristics of the Korean NHID. Recent trends in big data research using this database, commonly used operational diagnosis, and representative studies have been introduced. We expect further progress and expansion of big data research using the Korean NHID.

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Perspective

Journal Metrics-Based Position of Diabetes & Metabolism Journal after the Change of Its Text Language to English: Sun Huh; Diabetes Metab J. 2014;38(3):187-193. Published online June 17, 2014; DOI: https://doi.org/10.4093/dmj.2014.38.3.187

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Abstract PDF PubReader

After changing its language from Korean or English to English only in 2010, the journal metrics of Diabetes & Metabolism Journal (DMJ) were analyzed to assess whether this change in the journal policy was successful. The journal metric items that were analyzed were the following: impact factor; total citations; countries of authors; proportion of the articles funded out of the total number of original articles; and Hirsch-index (H-index). A retrospective, descriptive analysis was carried out using various databases, such as KoreaMed, Korean Medical Citation Index (KoMCI), KoreaMed Synapse, Web of Science, and Journal Citation Ranking. The journal's impact factor was 2.054, which corresponds to 83/122 (68.0%) out of the 2012 JCR endocrinology and metabolism category. The number of the journal's total citations was 330 in 2013. In addition to Korean authors, authors from 13 other countries published papers in the journal from 2010 to 2013. The number of funded papers from 2010 to 2013 was 65 out of 148 original articles (43.9%). The journal's H-index from KoreaMed Synapse was 7, and that from Web of Science was 9. It can be concluded that changing the journal's language to English was successful based on journal metrics. DMJ is currently positioned as an international journal based on the international diversity of authors and editors, its sufficiently high proportion of funded articles, its relatively high impact factor, and the number of total citations.

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