ReviewDiabetes & metabolism journal2025
Big Data Research for Diabetes-Related Diseases Using the Korean National Health Information Database.
Review in Diabetes & metabolism journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Metabolic health, independent of body mass index, is associated with mortality risk in type 1 diabetes.Journal of diabetes investigation · 2026Article
- Primary cardiovascular preventive effect of thiazolidinedione in adults with type 2 diabetes: A nationwide cohort study in Korea.Journal of diabetes investigation · 2026Article
- Continuous glucose monitoring and risks of acute and chronic diabetes-related complications and mortality in adults with type 1 diabetes: a nationwide cohort study.Diabetologia · 2026Article
- High Waist-to-Height Ratio Increases the Risk of Cardiovascular Outcomes in Adults with Type 1 Diabetes Mellitus: A Nationwide Cohort Study.Diabetes & metabolism journal · 2026Article
- Dementia Risk in Type 1 and 2 Diabetes: A Nationwide Population-Based Comparison.Diabetes, obesity & metabolism · 2026Article
- Elevated triglyceride-glucose index is associated with increased risk of chronic kidney disease and end-stage renal disease in type 1 diabetes: Nationwide cohort study.Diabetes, obesity & metabolism · 2026Article
- Long-term risk of offspring type 1 and type 2 diabetes following maternal gestational diabetes mellitus: a nationwide birth cohort study with 10-year follow-up.BMC medicine · 2026Article
- Glucose tolerance and mortality across 24 cancer types and stages: A K-CURE Nationwide registry study.Diabetes, obesity & metabolism · 2026Article
- Impact of Medication Adherence on Cardiovascular Outcomes in People with Type 2 Diabetes Mellitus and Disabilities.Diabetes & metabolism journal · 2026Article
- Nationwide Big Data Studies of Endocrine Diseases Using the Korean National Health Information Database: Research Trends and Standardization of Operational Definitions.Endocrinology and metabolism (Seoul, Korea) · 2026Review
- Association between steatotic liver disease subtype and thyroid cancer in women: A nationwide population-based cohort study.Frontiers in endocrinology · 2026Article
- Differences in cardiovascular disease incidence according to changes in obesity status in young diabetic patients.Cardiovascular diabetology. Endocrinology reports · 2025Article
- Inverse Association Between METS-IR and Lung Cancer Risk: The Role of BMI in a Nationwide Korean Cohort.Cancers · 2025Article
- Association of temporal MASLD with type 2 diabetes, cardiovascular disease and mortality.Cardiovascular diabetology · 2025Article
- Physical activity intensity and amount are inversely correlated with the risk of tuberculosis in patients with diabetes.Scientific reports · 2025Article
- Prevalence, Incidence, and Metabolic Characteristics of Young Adults with Type 2 Diabetes Mellitus in South Korea (2010-2020).Diabetes & metabolism journal · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.