- Diabetes, obesity and metabolism
- Epidemiology and Trends of Obesity and Bariatric Surgery in Korea
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Kyungdo Han, Jin-Hyung Jung, Su-Min Jeong, Mee Kyoung Kim
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Endocrinol Metab. 2024;39(5):678-685. Published online August 2, 2024
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DOI: https://doi.org/10.3803/EnM.2024.2056
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- The prevalence of obesity in Korea has steadily increased over the past decade, reaching 38.4% in 2021. Notably, the rate of class II– III obesity, defined as a body mass index (BMI) of 30 kg/m2 or higher, exceeded 7% in the same year. Since January 2019, the National Health Insurance Service (NHIS) has provided coverage for bariatric surgery (BS) for eligible patients. Coverage is available for individuals with a BMI of 35 kg/m2 or higher, or those with a BMI of 30 kg/m2 or higher who also have obesity-related comorbidities. Additionally, partial reimbursement is offered for BS in patients with type 2 diabetes mellitus who have BMI values between 27.5 and 30 kg/m2. From 2019 to 2022, the NHIS recorded 9,080 BS procedures, with sleeve gastrectomy being the most commonly performed. The average percentage of weight loss 198±99.7 days post-surgery was 17.9%, with 80.0% of patients losing more than 10% of their body weight. This article presents the trends in obesity and BS in Korea.
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- Impact of caloric restriction on diabetes remission in Korean adults with obesity (CREDO‐K study)
Mee Kyoung Kim, Jinyoung Kim, Su‐Jeong Park, Yoon‐Ju Song, Hyuk‐Sang Kwon Diabetes, Obesity and Metabolism.2025;[Epub] CrossRef
- Diabetes, obesity and metabolism
- Risk of Pancreatic Cancer and Use of Dipeptidyl Peptidase 4 Inhibitors in Patients with Type 2 Diabetes: A Propensity Score-Matching Analysis
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Mee Kyoung Kim, Kyungdo Han, Hyuk-Sang Kwon, Soon Jib Yoo
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Endocrinol Metab. 2023;38(4):426-435. Published online July 20, 2023
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DOI: https://doi.org/10.3803/EnM.2023.1737
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- Background
The effects of dipeptidyl peptidase 4 (DPP-4) inhibitors over the course of long-term treatment remain unclear, and concerns have been raised regarding the role of DPP-4 inhibitors in carcinogenesis in the pancreas. Earlier studies of pancreatic adverse events have reported conflicting results.
Methods This study analyzed Korean National Health Insurance Service data from January 2009 to December 2012. Patients who had type 2 diabetes mellitus and took two or more oral glucose-lowering drugs (GLDs) were included. Patients prescribed DPP-4 inhibitors (n=51,482) or other GLDs (n=51,482) were matched at a 1:1 ratio using propensity score matching. The risk of pancreatic cancer was calculated using Kaplan-Meier curves and Cox proportional-hazards regression analysis.
Results During a median follow-up period of 7.95 years, 1,051 new cases of pancreatic cancer were identified. The adjusted hazard ratio (HR) for DPP-4 inhibitor use was 0.99 (95% confidence interval [CI], 0.88 to 1.12) compared with the other GLD group. In an analysis limited to cases diagnosed with pancreatic cancer during hospitalization, the adjusted HR for the use of DPP-4 inhibitors was 1.00 (95% CI, 0.86 to 1.17) compared with patients who took other GLDs. Using the other GLD group as the reference group, no trend was observed for elevated pancreatic cancer risk with increased DPP-4 inhibitor exposure.
Conclusion In this population-based cohort study, DPP-4 inhibitor use over the course of relatively long-term follow-up showed no significant association with an elevated risk of pancreatic cancer.
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- Diabetes Duration, Cholesterol Levels, and Risk of Cardiovascular Diseases in Individuals With Type 2 Diabetes
Mee Kyoung Kim, Kyu Na Lee, Kyungdo Han, Seung-Hwan Lee The Journal of Clinical Endocrinology & Metabolism.2024; 109(12): e2317. CrossRef - Anti-Diabetic Therapies and Cancer: From Bench to Bedside
Dimitris Kounatidis, Natalia G. Vallianou, Irene Karampela, Eleni Rebelos, Marina Kouveletsou, Vasileios Dalopoulos, Petros Koufopoulos, Evanthia Diakoumopoulou, Nikolaos Tentolouris, Maria Dalamaga Biomolecules.2024; 14(11): 1479. CrossRef
- Calcium & bone metabolism
- Persistence with Denosumab in Male Osteoporosis Patients: A Real-World, Non-Interventional Multicenter Study
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Chaiho Jeong, Jeongmin Lee, Jinyoung Kim, Jeonghoon Ha, Kwanhoon Jo, Yejee Lim, Mee Kyoung Kim, Hyuk-Sang Kwon, Tae-Seo Sohn, Ki-Ho Song, Moo Il Kang, Ki-Hyun Baek
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Endocrinol Metab. 2023;38(2):260-268. Published online April 27, 2023
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DOI: https://doi.org/10.3803/EnM.2023.1663
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- Background
Persistence with denosumab in male patients has not been adequately investigated, although poor denosumab persistence is associated with a significant risk of rebound vertebral fractures.
Methods We retrospectively evaluated 294 Korean male osteoporosis patients treated with denosumab at three medical centers and examined their persistence with four doses of denosumab injection over 24 months of treatment. Persistence was defined as the extent to which a patient adhered to denosumab treatment in terms of the prescribed interval and dose, with a permissible gap of 8 weeks. For patients who missed their scheduled treatment appointment(s) during the follow-up period (i.e., no-shows), Cox proportional regression analysis was conducted to explore the factors associated with poor adherence. Several factors were considered, such as age, prior anti-osteoporotic drug use, the treatment provider’s medical specialty, the proximity to the medical center, and financial burdens of treatment.
Results Out of 294 male patients, 77 (26.2%) completed all four sequential rounds of the denosumab treatment. Out of 217 patients who did not complete the denosumab treatment, 138 (63.6%) missed the scheduled treatment(s). Missing treatment was significantly associated with age (odds ratio [OR], 1.03), prior bisphosphonate use (OR, 0.76), and prescription by non-endocrinologists (OR, 2.24). Denosumab was stopped in 44 (20.3%) patients due to medical errors, in 24 (11.1%) patients due to a T-score improvement over –2.5, and in five (2.3%) patients due to expected dental procedures.
Conclusion Our study showed that only one-fourth of Korean male osteoporosis patients were fully adherent to 24 months of denosumab treatment.
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- Denosumab
Reactions Weekly.2023; 1963(1): 206. CrossRef
- Diabetes, Obesity and Metabolism
Big Data Articles (National Health Insurance Service Database)
- Predicting the Risk of Insulin-Requiring Gestational Diabetes before Pregnancy: A Model Generated from a Nationwide Population-Based Cohort Study in Korea
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Seung-Hwan Lee, Jin Yu, Kyungdo Han, Seung Woo Lee, Sang Youn You, Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon, Mee Kyoung Kim
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Endocrinol Metab. 2023;38(1):129-138. Published online January 27, 2023
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DOI: https://doi.org/10.3803/EnM.2022.1609
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- Background
The severity of gestational diabetes mellitus (GDM) is associated with adverse pregnancy outcomes. We aimed to generate a risk model for predicting insulin-requiring GDM before pregnancy in Korean women.
Methods A total of 417,210 women who received a health examination within 52 weeks before pregnancy and delivered between 2011 and 2015 were recruited from the Korean National Health Insurance database. The risk prediction model was created using a sample of 70% of the participants, while the remaining 30% were used for internal validation. Risk scores were assigned based on the hazard ratios for each risk factor in the multivariable Cox proportional hazards regression model. Six risk variables were selected, and a risk nomogram was created to estimate the risk of insulin-requiring GDM.
Results A total of 2,891 (0.69%) women developed insulin-requiring GDM. Age, body mass index (BMI), current smoking, fasting blood glucose (FBG), total cholesterol, and γ-glutamyl transferase were significant risk factors for insulin-requiring GDM and were incorporated into the risk model. Among the variables, old age, high BMI, and high FBG level were the main contributors to an increased risk of insulin-requiring GDM. The concordance index of the risk model for predicting insulin-requiring GDM was 0.783 (95% confidence interval, 0.766 to 0.799). The validation cohort’s incidence rates for insulin-requiring GDM were consistent with the risk model’s predictions.
Conclusion A novel risk engine was generated to predict insulin-requiring GDM among Korean women. This model may provide helpful information for identifying high-risk women and enhancing prepregnancy care.
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- Establishment and validation of a nomogram to predict the neck contracture after skin grafting in burn patients: A multicentre cohort study
Rui Li, Yangyang Zheng, Xijuan Fan, Zilong Cao, Qiang Yue, Jincai Fan, Cheng Gan, Hu Jiao, Liqiang Liu International Wound Journal.2023; 20(9): 3648. CrossRef - Predicting the Need for Insulin Treatment: A Risk-Based Approach to the Management of Women with Gestational Diabetes Mellitus
Anna S. Koefoed, H. David McIntyre, Kristen S. Gibbons, Charlotte W. Poulsen, Jens Fuglsang, Per G. Ovesen Reproductive Medicine.2023; 4(3): 133. CrossRef - Prepregnancy Glucose Levels Within Normal Range and Its Impact on Obstetric Complications in Subsequent Pregnancy: A Population Cohort Study
Ho Yeon Kim, Ki Hoon Ahn, Geum Joon Cho, Soon-Cheol Hong, Min-Jeong Oh, Hai-Joong Kim Journal of Korean Medical Science.2023;[Epub] CrossRef - Risk of Cause-Specific Mortality across Glucose Spectrum in Elderly People: A Nationwide Population-Based Cohort Study
Joonyub Lee, Hun-Sung Kim, Kee-Ho Song, Soon Jib Yoo, Kyungdo Han, Seung-Hwan Lee Endocrinology and Metabolism.2023; 38(5): 525. CrossRef - The CHANGED Score—A New Tool for the Prediction of Insulin Dependency in Gestational Diabetes
Paul Rostin, Selina Balke, Dorota Sroka, Laura Fangmann, Petra Weid, Wolfgang Henrich, Josefine Theresia Königbauer Journal of Clinical Medicine.2023; 12(22): 7169. CrossRef
- Diabetes, Obesity and Metabolism
Big Data Articles (National Health Insurance Service Database)
- Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database
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Sun Wook Cho, Jung Hee Kim, Han Seok Choi, Hwa Young Ahn, Mee Kyoung Kim, Eun Jung Rhee
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Endocrinol Metab. 2023;38(1):10-24. Published online February 9, 2023
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DOI: https://doi.org/10.3803/EnM.2023.102
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- The Korean National Health Information Database (NHID) contains big data combining information obtained from the National Health Insurance Service and health examinations. Data are provided in the form of a cohort, and the NHID can be used to conduct longitudinal studies and research on rare diseases. Moreover, data on the cause and date of death are provided by Statistics Korea. Research and publications based on the NHID have increased explosively in the field of endocrine disorders. However, because the data were not collected for research purposes, studies using the NHID have limitations, particularly the need for the operational definition of diseases. In this review, we describe the characteristics of the Korean NHID, operational definitions of endocrine diseases used for research, and an overview of recent studies in endocrinology using the Korean NHID.
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Seung-Hwan Lee, Kyu Na Lee, Jong-Chan Youn, Hun Sung Kim, Kyungdo Han, Mee Kyoung Kim Diabetes & Metabolism Journal.2025; 49(1): 105. CrossRef - Associations Between Physical Activity and the Risk of Hip Fracture Depending on Glycemic Status: A Nationwide Cohort Study
Kyoung Min Kim, Kyoung Jin Kim, Kyungdo Han, Yumie Rhee The Journal of Clinical Endocrinology & Metabolism.2024; 109(3): e1194. CrossRef - Weight change in patients with new‐onset type 2 diabetes mellitus and its association with remission: Comprehensive real‐world data
Jinyoung Kim, Bongseong Kim, Mee Kyoung Kim, Ki‐Hyun Baek, Ki‐Ho Song, Kyungdo Han, Hyuk‐Sang Kwon Diabetes, Obesity and Metabolism.2024; 26(2): 567. CrossRef - Diabetes severity and the risk of depression: A nationwide population-based study
Yunjung Cho, Bongsung Kim, Hyuk-Sang Kwon, Kyungdo Han, Mee Kyoung Kim Journal of Affective Disorders.2024; 351: 694. CrossRef - Information Bias Might Exaggerate Lung Cancer Risk of Patients With Rheumatoid Arthritis
Nobuyuki Horita, Kaoru Takase-Minegishi Journal of Thoracic Oncology.2024; 19(2): 348. CrossRef - Diabetes Duration, Cholesterol Levels, and Risk of Cardiovascular Diseases in Individuals With Type 2 Diabetes
Mee Kyoung Kim, Kyu Na Lee, Kyungdo Han, Seung-Hwan Lee The Journal of Clinical Endocrinology & Metabolism.2024; 109(12): e2317. CrossRef - Risk of fracture in patients with myasthenia gravis: a nationwide cohort study in Korea
Hye-Sun Park, Kyoungsu Kim, Min Heui Yu, Ha Young Shin, Yumie Rhee, Seung Woo Kim, Namki Hong Journal of Bone and Mineral Research.2024; 39(6): 688. CrossRef - All-cause and cause-specific mortality risks in individuals with diabetes living alone: A large-scale population-based cohort study
Jae-Seung Yun, Kyungdo Han, Bongseong Kim, Seung-Hyun Ko, Hyuk-Sang Kwon, Yu-Bae Ahn, Yong-Moon Mark Park, Seung-Hwan Lee Diabetes Research and Clinical Practice.2024; 217: 111876. CrossRef - Epidemiology and Trends of Obesity and Bariatric Surgery in Korea
Kyungdo Han, Jin-Hyung Jung, Su-Min Jeong, Mee Kyoung Kim Endocrinology and Metabolism.2024; 39(5): 678. CrossRef - Income-Related Disparities in Mortality Among Young Adults With Type 2 Diabetes
Ji Yoon Kim, Sojeong Park, Minae Park, Nam Hoon Kim, Sin Gon Kim JAMA Network Open.2024; 7(11): e2443918. CrossRef - Effect of COVID-19 Vaccination on Thyroid Disease in 7 Million Adult and 0.2 Million Adolescent Vaccine Recipients
Sungho Bea, Hwa Young Ahn, Jieun Woo, Ju-Young Shin, Sun Wook Cho The Journal of Clinical Endocrinology & Metabolism.2024;[Epub] CrossRef - Diabetes severity is strongly associated with the risk of active tuberculosis in people with type 2 diabetes: a nationwide cohort study with a 6-year follow-up
Ji Young Kang, Kyungdo Han, Seung-Hwan Lee, Mee Kyoung Kim Respiratory Research.2023;[Epub] CrossRef - Research on obesity using the National Health Information Database: recent trends
Eun-Jung Rhee Cardiovascular Prevention and Pharmacotherapy.2023; 5(2): 35. CrossRef - Pituitary Diseases and COVID-19 Outcomes in South Korea: A Nationwide Cohort Study
Jeonghoon Ha, Kyoung Min Kim, Dong-Jun Lim, Keeho Song, Gi Hyeon Seo Journal of Clinical Medicine.2023; 12(14): 4799. CrossRef - Risk of Pancreatic Cancer and Use of Dipeptidyl Peptidase 4 Inhibitors in Patients with Type 2 Diabetes: A Propensity Score-Matching Analysis
Mee Kyoung Kim, Kyungdo Han, Hyuk-Sang Kwon, Soon Jib Yoo Endocrinology and Metabolism.2023; 38(4): 426. CrossRef - Prevalence, Treatment Status, and Comorbidities of Hyperthyroidism in Korea from 2003 to 2018: A Nationwide Population Study
Hwa Young Ahn, Sun Wook Cho, Mi Young Lee, Young Joo Park, Bon Seok Koo, Hang-Seok Chang, Ka Hee Yi Endocrinology and Metabolism.2023; 38(4): 436. CrossRef - Is Thyroid Dysfunction Associated with Unruptured Intracranial Aneurysms? A Population-Based, Nested Case–Control Study from Korea
Hyeree Park, Sun Wook Cho, Sung Ho Lee, Kangmin Kim, Hyun-Seung Kang, Jeong Eun Kim, Aesun Shin, Won-Sang Cho Thyroid®.2023; 33(12): 1483. CrossRef - Risk of Cause-Specific Mortality across Glucose Spectrum in Elderly People: A Nationwide Population-Based Cohort Study
Joonyub Lee, Hun-Sung Kim, Kee-Ho Song, Soon Jib Yoo, Kyungdo Han, Seung-Hwan Lee Endocrinology and Metabolism.2023; 38(5): 525. CrossRef - Risk of depression in patients with acromegaly in Korea (2006-2016): a nationwide population-based study
Shinje Moon, Sangmo Hong, Kyungdo Han, Cheol-Young Park European Journal of Endocrinology.2023; 189(3): 363. CrossRef - Cumulative effect of impaired fasting glucose on the risk of dementia in middle-aged and elderly people: a nationwide cohort study
Jin Yu, Kyu-Na Lee, Hun-Sung Kim, Kyungdo Han, Seung-Hwan Lee Scientific Reports.2023;[Epub] CrossRef - Long-Term Cumulative Exposure to High γ-Glutamyl Transferase Levels and the Risk of Cardiovascular Disease: A Nationwide Population-Based Cohort Study
Han-Sang Baek, Bongseong Kim, Seung-Hwan Lee, Dong-Jun Lim, Hyuk-Sang Kwon, Sang-Ah Chang, Kyungdo Han, Jae-Seung Yun Endocrinology and Metabolism.2023; 38(6): 770. CrossRef - Increased Risk of Hip Fracture in Patients with Acromegaly: A Nationwide Cohort Study in Korea
Jiwon Kim, Namki Hong, Jimi Choi, Ju Hyung Moon, Eui Hyun Kim, Eun Jig Lee, Sin Gon Kim, Cheol Ryong Ku Endocrinology and Metabolism.2023; 38(6): 690. CrossRef
- Thyroid
Big Data Articles (National Health Insurance Service Database)
- Repeated Low High-Density Lipoprotein Cholesterol and the Risk of Thyroid Cancer: A Nationwide Population- Based Study in Korea
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Jinyoung Kim, Mee Kyoung Kim, Ki-Hyun Baek, Ki-Ho Song, Kyungdo Han, Hyuk-Sang Kwon
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Endocrinol Metab. 2022;37(2):303-311. Published online April 6, 2022
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DOI: https://doi.org/10.3803/EnM.2021.1332
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- Background
High-density lipoprotein cholesterol (HDL-C) plays an important role in the reverse cholesterol transport pathway and prevents atherosclerosis-mediated disease. It has also been suggested that HDL-C may be a protective factor against cancer. However, an inverse correlation between HDL-C and cancer has not been established, and few studies have explored thyroid cancer.
Methods The study participants received health checkups provided by the Korean National Health Insurance Service from 2009 to 2013 and were followed until 2019. Considering the variability of serum HDL-C level, low HDL-C level was analyzed by grouping based on four consecutive health checkups. The data analysis was performed using univariate and multivariate Cox proportional hazard regression models.
Results A total of 3,134,278 total study participants, thyroid cancer occurred in 16,129. In the crude model, the hazard ratios for the association between repeatedly measured low HDL-C levels and thyroid cancer were 1.243, 1.404, 1.486, and 1.680 (P for trend <0.01), respectively, which were significant even after adjusting for age, sex, lifestyle factors, and metabolic diseases. The subgroup analysis revealed that low HDL-C levels likely had a greater impact on the group of patients with central obesity (P for interaction= 0.062), high blood pressure (P for interaction=0.057), impaired fasting glucose (P for interaction=0.051), and hyperlipidemia (P for interaction=0.126).
Conclusion Repeatedly measured low HDL-C levels can be considered a risk factor for cancer as well as vascular disease. Low HDL-C levels were associated with the risk of thyroid cancer, and this correlation was stronger in a metabolically unhealthy population.
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Seohyun Kim, Gyuri Kim, So Hyun Cho, Rosa Oh, Ji Yoon Kim, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Jae Hyeon Kim Scientific Reports.2024;[Epub] CrossRef - Association between organophosphate flame retardant exposure and lipid metabolism: data from the 2013–2014 National Health and Nutrition Examination Survey
Fu-Jen Cheng, Kai-Fan Tsai, Kuo-Chen Huang, Chia-Te Kung, Wan-Ting Huang, Huey-Ling You, Shau-Hsuan Li, Chin-Chou Wang, Wen-Chin Lee, Hsiu-Yung Pan Frontiers in Public Health.2024;[Epub] CrossRef - Low serum total cholesterol levels predict inferior prognosis of patients with POEMS syndrome
Jue Zhang, Ting Zhang, Ye Yao, Xuxing Shen, Yuanyuan Jin, Run Zhang, Lijuan Chen Discover Oncology.2024;[Epub] CrossRef - Lipoprotein alterations in endocrine disorders - a review of the recent developments in the field
Michal Olejarz, Ewelina Szczepanek-Parulska, Marek Ruchala Frontiers in Endocrinology.2024;[Epub] CrossRef - Associations Between Metabolic Obesity Phenotypes and Pathological Characteristics of Papillary Thyroid Carcinoma
Xiuyun Li, Xiujuan Zhang, Li Sun, Lulu Yang, Qihang Li, Zhixiang Wang, Yafei Wu, Ling Gao, Jiajun Zhao, Qingling Guo, Meng Zhou Endocrine Practice.2024; 30(7): 624. CrossRef - Analysis of risk factors for papillary thyroid carcinoma and the association with thyroid function indicators
Jianning Liu, Zhuoying Feng, Ru Gao, Peng Liu, Fangang Meng, Lijun Fan, Lixiang Liu, Yang Du Frontiers in Endocrinology.2024;[Epub] CrossRef - Carbohydrate, Lipid, and Apolipoprotein Biomarkers in Blood and Risk of Thyroid Cancer: Findings from the AMORIS Cohort
Xue Xiao, Yi Huang, Fetemeh Sadeghi, Maria Feychting, Niklas Hammar, Fang Fang, Zhe Zhang, Qianwei Liu Cancers.2023; 15(2): 520. CrossRef - Altered serum lipid levels are associated with prognosis of diffuse large B cell lymphoma and influenced by utility of rituximab
Fei Wang, Luo Lu, HuiJuan Chen, Yanhua Yue, Yanting Sun, Feng Yan, Bai He, Rongrong Lin, Weiying Gu Annals of Hematology.2023; 102(2): 393. CrossRef - Big Data Research in the Field of Endocrine Diseases Using the Korean National Health Information Database
Sun Wook Cho, Jung Hee Kim, Han Seok Choi, Hwa Young Ahn, Mee Kyoung Kim, Eun Jung Rhee Endocrinology and Metabolism.2023; 38(1): 10. CrossRef - High-density lipoprotein cholesterol and carcinogenesis
Meijuan Tan, Shijie Yang, Xiequn Xu Trends in Endocrinology & Metabolism.2023; 34(5): 303. CrossRef - Low Serum Cholesterol Level Is a Significant Prognostic Factor That Improves CLL-IPI in Chronic Lymphocytic Leukaemia
Rui Gao, Kaixin Du, Jinhua Liang, Yi Xia, Jiazhu Wu, Yue Li, Bihui Pan, Li Wang, Jianyong Li, Wei Xu International Journal of Molecular Sciences.2023; 24(8): 7396. CrossRef - Do metabolic factors increase the risk of thyroid cancer? a Mendelian randomization study
Weiwei Liang, FangFang Sun Frontiers in Endocrinology.2023;[Epub] CrossRef - Assessment of causal association between differentiated thyroid cancer and disordered serum lipid profile: a Mendelian randomization study
Qiang Ma, Yu Li, Lijuan An, Liang Guo, Xiaokang Liu Frontiers in Endocrinology.2023;[Epub] CrossRef - Risk factors and diagnostic prediction models for papillary thyroid carcinoma
Xiaowen Zhang, Yuyang Ze, Jianfeng Sang, Xianbiao Shi, Yan Bi, Shanmei Shen, Xinlin Zhang, Dalong Zhu Frontiers in Endocrinology.2022;[Epub] CrossRef - Exposure to multiple trace elements and thyroid cancer risk in Chinese adults: A case-control study
Jia-liu He, Hua-bing Wu, Wen-lei Hu, Jian-jun Liu, Qian Zhang, Wei Xiao, Ming-jun Hu, Ming Wu, Fen Huang International Journal of Hygiene and Environmental Health.2022; 246: 114049. CrossRef
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Big Data Articles (National Health Insurance Service Database)
- Cumulative Exposure to High γ-Glutamyl Transferase Level and Risk of Diabetes: A Nationwide Population-Based Study
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Ji-Yeon Park, Kyungdo Han, Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon, Mee Kyoung Kim, Seung-Hwan Lee
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Endocrinol Metab. 2022;37(2):272-280. Published online April 13, 2022
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DOI: https://doi.org/10.3803/EnM.2022.1416
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- Background
Elevated γ-glutamyl transferase (γ-GTP) level is associated with metabolic syndrome, impaired glucose tolerance, and insulin resistance, which are risk factors for type 2 diabetes. We aimed to investigate the association of cumulative exposure to high γ-GTP level with risk of diabetes.
Methods Using nationally representative data from the Korean National Health Insurance system, 346,206 people who were free of diabetes and who underwent 5 consecutive health examinations from 2005 to 2009 were followed to the end of 2018. High γ-GTP level was defined as those in the highest quartile, and the number of exposures to high γ-GTP level ranged from 0 to 5. Hazard ratio (HR) and 95% confidence interval (CI) for diabetes were analyzed using the multivariable Cox proportional-hazards model.
Results The mean follow-up duration was 9.2±1.0 years, during which 15,183 (4.4%) patients developed diabetes. There was a linear increase in the incidence rate and the risk of diabetes with cumulative exposure to high γ-GTP level. After adjusting for possible confounders, the HR of diabetes in subjects with five consecutive high γ-GTP levels were 2.60 (95% CI, 2.47 to 2.73) in men and 3.05 (95% CI, 2.73 to 3.41) in women compared with those who never had a high γ-GTP level. Similar results were observed in various subgroup and sensitivity analyses.
Conclusion There was a linear relationship between cumulative exposure to high γ-GTP level and risk of diabetes. Monitoring and lowering γ-GTP level should be considered for prevention of diabetes in the general population.
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Yanyan Xuan, Fangfang He, Qing Liu, Dandan Dai, Dingting Wu, Yanmei Shi, Qi Yao Scientific Reports.2025;[Epub] CrossRef - Investigating the synergistic effects of gamma-glutamyl transferase with homocysteine, ferritin, and uric acid in patients with type II diabetes mellitus
Simin Shirvani, Masomeh Halvaeezade, Maryam Avazzade, Morteza Golbashirzadeh, Atousa Moradzadegan Endocrine and Metabolic Science.2025; 17: 100211. CrossRef - Validation of Estimated Small Dense Low-Density Lipoprotein Cholesterol Concentration in a Japanese General Population
Keisuke Endo, Ryo Kobayashi, Makito Tanaka, Marenao Tanaka, Yukinori Akiyama, Tatsuya Sato, Itaru Hosaka, Kei Nakata, Masayuki Koyama, Hirofumi Ohnishi, Satoshi Takahashi, Masato Furuhashi Journal of Atherosclerosis and Thrombosis.2024; 31(6): 931. CrossRef - Risk Factors for Colorectal Adenoma and Cancer in Comprehensive Health Checkups: Usefulness of Gamma-Glutamyltransferase
Yoko Yamanouchi, Maiko Osawa, Takaaki Senbonmatsu, Yuki Shiko, Yohei Kawasaki, Toshihiro Muramatsu Journal of Personalized Medicine.2024; 14(11): 1082. CrossRef - Long-Term Cumulative Exposure to High γ-Glutamyl Transferase Levels and the Risk of Cardiovascular Disease: A Nationwide Population-Based Cohort Study
Han-Sang Baek, Bongseong Kim, Seung-Hwan Lee, Dong-Jun Lim, Hyuk-Sang Kwon, Sang-Ah Chang, Kyungdo Han, Jae-Seung Yun Endocrinology and Metabolism.2023; 38(6): 770. CrossRef - Elevated gamma‐glutamyl transferase to high‐density lipoprotein cholesterol ratio has a non‐linear association with incident diabetes mellitus: A second analysis of a cohort study
Haofei Hu, Yong Han, Mijie Guan, Ling Wei, Qijun Wan, Yanhua Hu Journal of Diabetes Investigation.2022; 13(12): 2027. CrossRef - Gamma-glutamyl transferase to high-density lipoprotein cholesterol ratio: A valuable predictor of type 2 diabetes mellitus incidence
Wangcheng Xie, Bin Liu, Yansong Tang, Tingsong Yang, Zhenshun Song Frontiers in Endocrinology.2022;[Epub] CrossRef
- Diabetes, Obesity and Metabolism
- Recent Updates to Clinical Practice Guidelines for Diabetes Mellitus
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Jin Yu, Seung-Hwan Lee, Mee Kyoung Kim
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Endocrinol Metab. 2022;37(1):26-37. Published online February 28, 2022
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DOI: https://doi.org/10.3803/EnM.2022.105
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- Guidelines for the management of patients with diabetes have become an important part of clinical practice that improve the quality of care and help establish evidence-based medicine in this field. With rapidly accumulating evidence on various aspects of diabetes care, including landmark clinical trials of treatment agents and newer technologies, timely updates of the guidelines capture the most current state of the field and present a consensus. As a leading academic society, the Korean Diabetes Association publishes practice guidelines biennially and the American Diabetes Association does so annually. In this review, we summarize the key changes suggested in the most recent guidelines. Some of the important updates include treatment algorithms emphasizing comorbid conditions such as atherosclerotic cardiovascular disease, heart failure, and chronic kidney disease in the selection of anti-diabetic agents; wider application of continuous glucose monitoring (CGM), insulin pump technologies and indices derived from CGM such as time in range; more active screening of subjects at high-risk of diabetes; and more detailed individualization in diabetes care. Although there are both similarities and differences among guidelines and some uncertainty remains, these updates provide a good approach for many clinical practitioners who are battling with diabetes.
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Big Data Articles (National Health Insurance Service Database)
- Frequency of Exposure to Impaired Fasting Glucose and Risk of Mortality and Cardiovascular Outcomes
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Seung-Hwan Lee, Kyungdo Han, Hyuk-Sang Kwon, Mee Kyoung Kim
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Endocrinol Metab. 2021;36(5):1007-1015. Published online October 21, 2021
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DOI: https://doi.org/10.3803/EnM.2021.1218
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Abstract
PDFSupplementary MaterialPubReader ePub
- Background
Metabolic abnormalities, such as impaired fasting glucose (IFG), are dynamic phenomena; however, it is unclear whether the timing of IFG exposure and cumulative exposure to IFG are related to cardiovascular disease (CVD) and mortality risk.
Methods Data were extracted from a nationwide population-based cohort in South Korea for adults (n=2,206,679) who were free of diabetes and had 4 years of consecutive health examination data. Fasting blood glucose levels of 100 to 125 mg/dL were defined as IFG, and the number of IFG diagnoses for each adult in the 4-year period was tabulated as the IFG exposure score (range, 0 to 4). Adults with persistent IFG for the 4-year period received a score of 4.
Results The median follow-up was 8.2 years. There were 24,820 deaths, 13,502 cases of stroke, and 13,057 cases of myocardial infarction (MI). IFG exposure scores of 1, 2, 3, and 4 were associated with all-cause mortality (multivariable-adjusted hazard ratio [aHR], 1.11; 95% confidence interval [CI], 1.08 to 1.15; aHR, 1.16; 95% CI, 1.12 to 1.20; aHR, 1.20; 95% CI, 1.15 to 1.25; aHR, 1.18; 95% CI, 1.11 to 1.25, respectively) compared with an IFG exposure score of 0. Adjusting for hypertension and dyslipidemia attenuated the slightly increased risk of MI or stroke associated with high IFG exposure scores, but significant associations for allcause mortality remained.
Conclusion The intensity of IFG exposure was associated with an elevated risk of all-cause mortality, independent of cardiovascular risk factors. The association between IFG exposure and CVD risk was largely mediated by the coexistence of dyslipidemia and hypertension.
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- Exposure to perfluoroalkyl and polyfluoroalkyl substances and risk of stroke in adults: a meta-analysis
Min Cheol Chang, Seung Min Chung, Sang Gyu Kwak Reviews on Environmental Health.2024; 39(4): 791. CrossRef - Cumulative exposure to impaired fasting glucose and gastrointestinal cancer risk: A nationwide cohort study
Byeong Yun Ahn, Bokyung Kim, Sanghyun Park, Sang Gyun Kim, Kyungdo Han, Soo‐Jeong Cho Cancer.2024; 130(10): 1807. CrossRef - Diabetes severity and the risk of depression: A nationwide population-based study
Yunjung Cho, Bongsung Kim, Hyuk-Sang Kwon, Kyungdo Han, Mee Kyoung Kim Journal of Affective Disorders.2024; 351: 694. CrossRef - Triglyceride-glucose index is associated with the risk of impaired fasting glucose in Chinese elderly individuals
Jie Liu, Feng Yi, Kai Duan, Haibo Liu Scientific Reports.2024;[Epub] CrossRef - Impact of Cumulative Exposure to a High TG to HDL-C Ratio on Type 2 Diabetes Risk in Young Adults
Jung Heo, Byungpyo Kim, Kyungdo Han, Hyunjyung Oh, Eun-Young Doo, Jiyeon Ahn, Seo-Young Sohn, Jae-Hyuk Lee, Min-Kyung Lee Journal of Clinical Lipidology.2024;[Epub] CrossRef - A nationwide cohort study on diabetes severity and risk of Parkinson disease
Kyungdo Han, Bongsung Kim, Seung Hwan Lee, Mee Kyoung Kim npj Parkinson's Disease.2023;[Epub] CrossRef - Diabetes severity is strongly associated with the risk of active tuberculosis in people with type 2 diabetes: a nationwide cohort study with a 6-year follow-up
Ji Young Kang, Kyungdo Han, Seung-Hwan Lee, Mee Kyoung Kim Respiratory Research.2023;[Epub] CrossRef - Construction and Validation of a Model for Predicting Impaired Fasting Glucose Based on More Than 4000 General Population
Cuicui Wang, Xu Zhang, Chenwei Li, Na Li, Xueni Jia, Hui Zhao International Journal of General Medicine.2023; Volume 16: 1415. CrossRef - Factors Affecting High Body Weight Variability
Kyungdo Han, Mee Kyoung Kim Journal of Obesity & Metabolic Syndrome.2023; 32(2): 163. CrossRef - Cumulative effect of impaired fasting glucose on the risk of dementia in middle-aged and elderly people: a nationwide cohort study
Jin Yu, Kyu-Na Lee, Hun-Sung Kim, Kyungdo Han, Seung-Hwan Lee Scientific Reports.2023;[Epub] CrossRef - A Longitudinal Retrospective Observational Study on Obesity Indicators and the Risk of Impaired Fasting Glucose in Pre- and Postmenopausal Women
Myung Ji Nam, Hyunjin Kim, Yeon Joo Choi, Kyung-Hwan Cho, Seon Mee Kim, Yong-Kyun Roh, Kyungdo Han, Jin-Hyung Jung, Yong-Gyu Park, Joo-Hyun Park, Do-Hoon Kim Journal of Clinical Medicine.2022; 11(10): 2795. CrossRef - Current Trends of Big Data Research Using the Korean National Health Information Database
Mee Kyoung Kim, Kyungdo Han, Seung-Hwan Lee Diabetes & Metabolism Journal.2022; 46(4): 552. CrossRef - Lipid cutoffs for increased cardiovascular disease risk in non-diabetic young people
Mee Kyoung Kim, Kyungdo Han, Hun-Sung Kim, Kun-Ho Yoon, Seung-Hwan Lee European Journal of Preventive Cardiology.2022; 29(14): 1866. CrossRef - Low-Density Lipoprotein Cholesterol Level, Statin Use and Myocardial Infarction Risk in Young Adults
Heekyoung Jeong, Kyungdo Han, Soon Jib Yoo, Mee Kyoung Kim Journal of Lipid and Atherosclerosis.2022; 11(3): 288. CrossRef - Additive interaction of diabetes mellitus and chronic kidney disease in cancer patient mortality risk
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- Bone Metabolism
- Comparison of the Effects of Various Antidiabetic Medication on Bone Mineral Density in Patients with Type 2 Diabetes Mellitus
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Jeonghoon Ha, Yejee Lim, Mee Kyoung Kim, Hyuk-Sang Kwon, Ki-Ho Song, Seung Hyun Ko, Moo Il Kang, Sung Dae Moon, Ki-Hyun Baek
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Endocrinol Metab. 2021;36(4):895-903. Published online August 9, 2021
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DOI: https://doi.org/10.3803/EnM.2021.1026
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- Background
Prospective comparative studies on the effects of various antidiabetic agents on bone metabolism are limited. This study aimed to assess changes in bone mass and biochemical bone markers in postmenopausal patients with type 2 diabetes mellitus (T2DM).
Methods This prospective, multicenter, open-label, comparative trial included 264 patients with T2DM. Patients who had received a metformin, or sulfonylurea/metformin combination (Group 1); a thiazolidinedione combination (Group 2); a dipeptidyl peptidase-4 inhibitor (gemigliptin) combination (Group 3); or an sodium-glucose cotransporter 2 inhibitor (empagliflozin) combination (Group 4) were prospectively treated for 12 months; bone mineral density (BMD) and bone turnover marker (BTM) changes were evaluated.
Results The femoral neck BMD percentage changes were −0.79%±2.86% (Group 1), −2.50%±3.08% (Group 2), −1.05%±2.74% (Group 3), and −1.24%±2.91% (Group 4) (P<0.05). The total hip BMD percentage changes were −0.57%±1.79% (Group 1), −1.74%±1.48% (Group 2), −0.75%±1.87% (Group 3), and −1.27%±1.72% (Group 4) (P<0.05). Mean serum BTM (C-terminal type 1 collagen telopeptide and procollagen type 1 amino-terminal propeptide) levels measured during the study period did not change over time or differ between groups.
Conclusion Significant bone loss in the femoral neck and total hip was associated with thiazolidinedione combination regimens. However, bone loss was not significantly associated with combination regimens including gemigliptin or empagliflozin. Caution should be exercised during treatment with antidiabetic medications that adversely affect the bone in patients with diabetes at a high risk of bone loss.
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Lili Huang, Wei Zhong, Xinghuan Liang, Huijuan Wang, Shi-en Fu, Zuojie Luo Journal of Clinical Densitometry.2024; 27(1): 101455. CrossRef - A multicentre, double‐blind, placebo‐controlled, randomized, parallel comparison, phase 3 trial to evaluate the efficacy and safety of pioglitazone add‐on therapy in type 2 diabetic patients treated with metformin and dapagliflozin
Soo Lim, Seung‐Hwan Lee, Kyung‐Wan Min, Chang Beom Lee, Sang Yong Kim, Hye Jin Yoo, Nan Hee Kim, Jae Hyeon Kim, Seungjoon Oh, Jong Chul Won, Hyuk Sang Kwon, Mi Kyung Kim, Jung Hwan Park, In‐Kyung Jeong, Sungrae Kim Diabetes, Obesity and Metabolism.2024; 26(6): 2188. CrossRef - Bone Loss in Diabetes Mellitus: Diaporosis
Krisztina Kupai, Hsu Lin Kang, Anikó Pósa, Ákos Csonka, Tamás Várkonyi, Zsuzsanna Valkusz International Journal of Molecular Sciences.2024; 25(13): 7269. CrossRef - The multiple actions of dipeptidyl peptidase 4 (DPP-4) and its pharmacological inhibition on bone metabolism: a review
L. M. Pechmann, F. I. Pinheiro, V. F. C. Andrade, C. A. Moreira Diabetology & Metabolic Syndrome.2024;[Epub] CrossRef - The effect of antidiabetic drugs on bone metabolism: a concise review
Stavroula Psachna, Maria Eleni Chondrogianni, Konstantinos Stathopoulos, Antonis Polymeris, Antonios Chatzigeorgiou, Efstathios Chronopoulos, Symeon Tournis, Eva Kassi Endocrine.2024;[Epub] CrossRef - Association of Bone Turnover Markers with Type 2 Diabetes Mellitus and Microvascular Complications: A Matched Case-Control Study
Yilin Hou, Xiaoyu Hou, Qian Nie, Qiuyang Xia, Rui Hu, Xiaoyue Yang, Guangyao Song, Luping Ren Diabetes, Metabolic Syndrome and Obesity.2023; Volume 16: 1177. CrossRef - Complementary effects of dapagliflozin and lobeglitazone on metabolism in a diet-induced obese mouse model
Yun Kyung Lee, Tae Jung Oh, Ji In Lee, Bo Yoon Choi, Hyen Chung Cho, Hak Chul Jang, Sung Hee Choi European Journal of Pharmacology.2023; 957: 175946. CrossRef
- Clinical Study
Big Data Articles (National Health Insurance Service Database)
- Cumulative Exposure to Metabolic Syndrome Components and the Risk of Dementia: A Nationwide Population-Based Study
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Yunjung Cho, Kyungdo Han, Da Hye Kim, Yong-Moon Park, Kun-Ho Yoon, Mee Kyoung Kim, Seung-Hwan Lee
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Endocrinol Metab. 2021;36(2):424-435. Published online April 14, 2021
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DOI: https://doi.org/10.3803/EnM.2020.935
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- Background
Metabolic disturbances are modifiable risk factors for dementia. Because the status of metabolic syndrome (MetS) and its components changes over time, we aimed to investigate the association of the cumulative exposure to MetS and its components with the risk of dementia.
Methods Adults (n=1,492,776; ≥45-years-old) who received health examinations for 4 consecutive years were identified from a nationwide population-based cohort in Korea. Two exposure-weighted scores were calculated: cumulative number of MetS diagnoses (MetS exposure score, range of 0 to 4) and the composite of its five components (MetS component exposure score, range of 0 to 20). Hazard ratio (HR) and 95% confidence interval (CI) values for dementia were analyzed using the multivariable Cox proportional-hazards model.
Results Overall, 47.1% of subjects were diagnosed with MetS at least once, and 11.5% had persistent MetS. During the mean 5.2 years of follow-up, there were 7,341 cases (0.5%) of incident dementia. There was a stepwise increase in the risk of all-cause dementia, Alzheimer’s disease, and vascular dementia with increasing MetS exposure score and MetS component exposure score (each P for trend <0.0001). The HR of all-cause dementia was 2.62 (95% CI, 1.87 to 3.68) in subjects with a MetS component exposure score of 20 compared with those with a score of 0. People fulfilling only one MetS component out of 20 already had an approximately 40% increased risk of all-cause dementia and Alzheimer’s disease.
Conclusion More cumulative exposure to metabolic disturbances was associated with a higher risk of dementia. Of note, even minimal exposure to MetS components had a significant effect on the risk of dementia.
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Yu Meng Tian, Wei Sen Zhang, Chao Qiang Jiang, Feng Zhu, Ya Li Jin, Shiu Lun Au Yeung, Jiao Wang, Kar Keung Cheng, Tai Hing Lam, Lin Xu Diabetes & Metabolism Journal.2025; 49(1): 60. CrossRef - Association between metabolic syndrome and risk of incident dementia in UK Biobank
Danial Qureshi, Jennifer Collister, Naomi E. Allen, Elżbieta Kuźma, Thomas Littlejohns Alzheimer's & Dementia.2024; 20(1): 447. CrossRef - Cumulative exposure to metabolic syndrome affects the risk of psoriasis differently according to age group: a nationwide cohort study in South Korea
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Ting Li, Junjian Tian, Meng Wu, Yuanshuo Tian, Zhigang Li Frontiers in Endocrinology.2024;[Epub] CrossRef - Investigating the nexus of metabolic syndrome, serum uric acid, and dementia risk: a prospective cohort study
Tara SR Chen, Ning-Ning Mi, Hubert Yuenhei Lao, Chen-Yu Wang, Wai Leung Ambrose Lo, Yu-Rong Mao, Yan Tang, Zhong Pei, Jin-Qiu Yuan, Dong-Feng Huang BMC Medicine.2024;[Epub] CrossRef - Blood-Brain Barrier: A Shield Against Cognitive Decline
Nabil J. Alkayed Stroke.2024; 55(12): 2906. CrossRef - Association between Alzheimer’s disease and metabolic syndrome: Unveiling the role of dyslipidemia mechanisms
Chenyu Yue, Yan Fu, Yongli Zhao, Yanan Ou, Yanping Sun, Lan Tan Brain Network Disorders.2024;[Epub] CrossRef - Clustering of Cardiometabolic Risk Factors and Dementia Incidence in Older Adults: A Cross-Country Comparison in England, the United States, and China
Panagiota Kontari, Chris Fife-Schaw, Kimberley Smith, Lewis A Lipsitz The Journals of Gerontology: Series A.2023; 78(6): 1035. CrossRef - Predicting the Risk of Insulin-Requiring Gestational Diabetes before Pregnancy: A Model Generated from a Nationwide Population-Based Cohort Study in Korea
Seung-Hwan Lee, Jin Yu, Kyungdo Han, Seung Woo Lee, Sang Youn You, Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon, Mee Kyoung Kim Endocrinology and Metabolism.2023; 38(1): 129. CrossRef - Metabolic syndrome and the risk of postoperative delirium and postoperative cognitive dysfunction: a multi-centre cohort study
Insa Feinkohl, Jürgen Janke, Arjen J.C. Slooter, Georg Winterer, Claudia Spies, Tobias Pischon British Journal of Anaesthesia.2023; 131(2): 338. CrossRef - Is metabolic-healthy obesity associated with risk of dementia? An age-stratified analysis of the Whitehall II cohort study
Marcos D. Machado-Fragua, Séverine Sabia, Aurore Fayosse, Céline Ben Hassen, Frank van der Heide, Mika Kivimaki, Archana Singh-Manoux BMC Medicine.2023;[Epub] CrossRef - Cumulative effect of impaired fasting glucose on the risk of dementia in middle-aged and elderly people: a nationwide cohort study
Jin Yu, Kyu-Na Lee, Hun-Sung Kim, Kyungdo Han, Seung-Hwan Lee Scientific Reports.2023;[Epub] CrossRef - Early metabolic impairment as a contributor to neurodegenerative disease: Mechanisms and potential pharmacological intervention
Walaa Fakih, Ralph Zeitoun, Ibrahim AlZaim, Ali H. Eid, Firas Kobeissy, Khaled S. Abd‐Elrahman, Ahmed F. El‐Yazbi Obesity.2022; 30(5): 982. CrossRef - Current Trends of Big Data Research Using the Korean National Health Information Database
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Marcos D. Machado-Fragua, Aurore Fayosse, Manasa Shanta Yerramalla, Thomas T. van Sloten, Adam G. Tabak, Mika Kivimaki, Séverine Sabia, Archana Singh-Manoux Diabetes Care.2022; 45(9): 2127. CrossRef - Risk of Neurodegenerative Diseases in Patients With Acromegaly
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- Clinical Study
- Predicting the Development of Myocardial Infarction in Middle-Aged Adults with Type 2 Diabetes: A Risk Model Generated from a Nationwide Population-Based Cohort Study in Korea
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Seung-Hwan Lee, Kyungdo Han, Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon, Mee Kyoung Kim
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Endocrinol Metab. 2020;35(3):636-646. Published online September 22, 2020
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DOI: https://doi.org/10.3803/EnM.2020.704
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Abstract
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- Background
Most of the widely used prediction models for cardiovascular disease are known to overestimate the risk of this disease in Asians. We aimed to generate a risk model for predicting myocardial infarction (MI) in middle-aged Korean subjects with type 2 diabetes.
Methods A total of 1,272,992 subjects with type 2 diabetes aged 40 to 64 who received health examinations from 2009 to 2012 were recruited from the Korean National Health Insurance database. Seventy percent of the subjects (n=891,095) were sampled to develop the risk prediction model, and the remaining 30% (n=381,897) were used for internal validation. A Cox proportional hazards regression model and Cox coefficients were used to derive a risk scoring system. Twelve risk variables were selected, and a risk nomogram was created to estimate the 5-year risk of MI.
Results During 7.1 years of follow-up, 24,809 cases of MI (1.9%) were observed. Age, sex, smoking status, regular exercise, body mass index, chronic kidney disease, duration of diabetes, number of anti-diabetic medications, fasting blood glucose, systolic blood pressure, total cholesterol, and atrial fibrillation were significant risk factors for the development of MI and were incorporated into the risk model. The concordance index for MI prediction was 0.682 (95% confidence interval [CI], 0.678 to 0.686) in the development cohort and 0.669 (95% CI, 0.663 to 0.675) in the validation cohort.
Conclusion A novel risk engine was generated for predicting the development of MI among middle-aged Korean adults with type 2 diabetes. This model may provide useful information for identifying high-risk patients and improving quality of care.
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- Effects of Cardiovascular Risk Factor Variability on Health Outcomes
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Seung-Hwan Lee, Mee Kyoung Kim, Eun-Jung Rhee
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Endocrinol Metab. 2020;35(2):217-226. Published online June 24, 2020
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DOI: https://doi.org/10.3803/EnM.2020.35.2.217
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Abstract
PDFPubReader ePub
- Innumerable studies have suggested “the lower, the better” for cardiovascular risk factors, such as body weight, lipid profile, blood pressure, and blood glucose, in terms of health outcomes. However, excessively low levels of these parameters cause health problems, as seen in cachexia, hypoglycemia, and hypotension. Body weight fluctuation is related to mortality, diabetes, obesity, cardiovascular disease, and cancer, although contradictory findings have been reported. High lipid variability is associated with increased mortality and elevated risks of cardiovascular disease, diabetes, end-stage renal disease, and dementia. High blood pressure variability is associated with increased mortality, myocardial infarction, hospitalization, and dementia, which may be caused by hypotension. Furthermore, high glucose variability, which can be measured by continuous glucose monitoring systems or self-monitoring of blood glucose levels, is associated with increased mortality, microvascular and macrovascular complications of diabetes, and hypoglycemic events, leading to hospitalization. Variability in metabolic parameters could be affected by medications, such as statins, antihypertensives, and hypoglycemic agents, and changes in lifestyle patterns. However, other mechanisms modify the relationships between biological variability and various health outcomes. In this study, we review recent evidence regarding the role of variability in metabolic parameters and discuss the clinical implications of these findings.
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- Clinical Study
- Consistency of the Glycation Gap with the Hemoglobin Glycation Index Derived from a Continuous Glucose Monitoring System
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Han Na Joung, Hyuk-Sang Kwon, Ki-Hyun Baek, Ki-Ho Song, Mee Kyoung Kim
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Endocrinol Metab. 2020;35(2):377-383. Published online June 24, 2020
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DOI: https://doi.org/10.3803/EnM.2020.35.2.377
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- Background
Discordances between glycated hemoglobin (HbA1c) levels and glycemic control are common in clinical practice. We aimed to investigate the consistency of the glycation gap with the hemoglobin glycation index (HGI).
Methods From 2016 to 2019, 36 patients with type 2 diabetes were enrolled. HbA1c, glycated albumin (GA), and fasting blood glucose levels were simultaneously measured and 72-hour continuous glucose monitoring (CGM) was performed on the same day. Repeated tests were performed at baseline and 1 month later, without changing patients’ diabetes management. The HGI was calculated as the difference between the measured HbA1c and the predicted HbA1c that was derived from CGM. The glycation gap was calculated as the difference between the measured and GA-based predicted HbA1c levels.
Results Strong correlations were found between the mean blood glucose (MBG)-based HGI and the prebreakfast glucose-based HGI (r=0.867, P<0.001) and between the glycation gap and the MBG-based HGI (r=0.810, P<0.001). A close correlation was found between the MBG-based HGI at baseline and that after 1 month (r=0.729, P<0.001), with a y-intercept of 0 and a positive slope.
Conclusion The HGI and glycation gap were highly reproducible, and the magnitudes of repeated determinations were closely correlated. Patients with similar mean glucose levels may have significantly different HbA1c levels.
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- Factors associated with hemoglobin glycation index in adults with type 1 diabetes mellitus: The FGM‐Japan study
Naoki Sakane, Yushi Hirota, Akane Yamamoto, Junnosuke Miura, Hiroko Takaike, Sari Hoshina, Masao Toyoda, Nobumichi Saito, Kiminori Hosoda, Masaki Matsubara, Atsuhito Tone, Satoshi Kawashima, Hideaki Sawaki, Tomokazu Matsuda, Masayuki Domichi, Akiko Suganu Journal of Diabetes Investigation.2023; 14(4): 582. CrossRef - The Fast-Glycator Phenotype, Skin Advanced Glycation End Products, and Complication Burden Among People With Type 1 Diabetes
Alberto Maran, Mario Luca Morieri, Daniele Falaguasta, Angelo Avogaro, Gian Paolo Fadini Diabetes Care.2022; 45(10): 2439. CrossRef - Hemoglobin glycation index, calculated from a single fasting glucose value, as a prediction tool for severe hypoglycemia and major adverse cardiovascular events in DEVOTE
Klara R Klein, Edward Franek, Steven Marso, Thomas R Pieber, Richard E Pratley, Amoolya Gowda, Kajsa Kvist, John B Buse BMJ Open Diabetes Research & Care.2021; 9(2): e002339. CrossRef
- Clinical Study
- Comparison of Natural Course between Thyroid Cancer Nodules and Thyroid Benign Nodules
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Kyun-Jin Yun, Jeonghoon Ha, Min-Hee Kim, Ye Young Seo, Mee Kyoung Kim, Hyuk-Sang Kwon, Ki-Ho Song, Moo Il Kang, Ki-Hyun Baek
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Endocrinol Metab. 2019;34(2):195-202. Published online June 24, 2019
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DOI: https://doi.org/10.3803/EnM.2019.34.2.195
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- Background
The natural course of thyroid cancer nodules and benign nodules is different. This study was to compare the changes in size between thyroid cancer nodules and thyroid benign nodules. The risk factors associated with the changes of thyroid cancer nodules were assessed. MethodsThis study contains retrospective observational and prospective analysis. A total of 113 patients with 120 nodules were recruited in the cancer group, and 116 patients with 119 nodules were enrolled in the benign group. Thyroid ultrasonography was performed at least two times at more than 1-year interval. ResultsThe mean follow-up durations were 29.5±18.8 months (cancer group) and 31.9±15.8 months (benign group) (P=0.32). The maximum diameter change in length was 0.36±0.97 mm/year in the cancer group and –0.04±0.77 mm/year in the benign group (P<0.01). The volume was significantly increased in the cancer group compared with the benign group (0.06±0.18 mL/year vs. 0.004±0.05 mL/year, respectively, P<0.01; 26.9%±57.9%/year vs. 1.7%±26.0%/year, P<0.01). Initial maximum diameter (β=0.02, P<0.01) and initial volume (β=0.13, P<0.01) were significantly associated with volume change (mL)/year. Initial maximum standardized uptake value did not predict the nodule growth. ConclusionIt is suggested that thyroid cancer nodules progress rapidly compared with benign nodules. Initial size and volume of nodule were independent risk factors for cancer nodule growth.
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Hannah J. Sfreddo, Elizabeth S. Koh, Karena Zhao, Christina E. Swartzwelder, Brian R. Untch, Jennifer L. Marti, Benjamin R. Roman, Jared Dublin, Ronald S. Wang, Rong Xia, Jean-Marc Cohen, Bin Xu, Ronald Ghossein, Babak Givi, Jay O. Boyle, R. Michael Tuttl Thyroid®.2024;[Epub] CrossRef - Ultrasound for the assessment of thyroid nodules: an overview for non-radiologists
Conor Hamill, Peter Ellis, Philip C Johnston British Journal of Hospital Medicine.2022; 83(7): 1. CrossRef - Цитологічно підтверджений вузловий зоб у членів Українсько-Американського когортного дослідження: дескриптивний аналіз результатів обстеження за 1998- 2015 роки
M.D. Tronko, L.S. Strafun, H.M. Terekhova, H.A. Zamotayeva, I.P. Pasteur Endokrynologia.2022; 27(1): 5. CrossRef - A Computational Study on the Role of Parameters for Identification of Thyroid Nodules by Infrared Images (and Comparison with Real Data)
José R. González, Charbel Damião, Maira Moran, Cristina A. Pantaleão, Rubens A. Cruz, Giovanna A. Balarini, Aura Conci Sensors.2021; 21(13): 4459. CrossRef - Ultrasound in active surveillance for low-risk papillary thyroid cancer: imaging considerations in case selection and disease surveillance
Sangeet Ghai, Ciara O’Brien, David P. Goldstein, Anna M. Sawka, Lorne Rotstein, Dale Brown, John de Almeida, Patrick Gullane, Ralph Gilbert, Douglas Chepeha, Jonathan Irish, Jesse Pasternak, Shereen Ezzat, James P. Brierley, Richard W. Tsang, Eric Monteir Insights into Imaging.2021;[Epub] CrossRef - Association between various thyroid gland diseases, TSH values and thyroid cancer: a case–control study
Leif Schiffmann, Karel Kostev, Matthias Kalder Journal of Cancer Research and Clinical Oncology.2020; 146(11): 2989. CrossRef - Combination of peroxisome proliferator–activated receptor gamma and retinoid X receptor agonists induces sodium/iodide symporter expression and inhibits cell growth of human thyroid cancer cells
Jui-Yu Chen, Jane-Jen Wang, Hsin-Chen Lee, Chin-Wen Chi, Chen-Hsen Lee, Yi-Chiung Hsu Journal of the Chinese Medical Association.2020; 83(10): 923. CrossRef - Growth rates of malignant and benign thyroid nodules in an ultrasound follow-up study: a retrospective cohort study
Michael Cordes, Theresa Ida Götz, Karen Horstrup, Torsten Kuwert, Christian Schmidkonz BMC Cancer.2019;[Epub] CrossRef
- Clinical Guidelines for the Management of Adrenal Incidentaloma
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Jung-Min Lee, Mee Kyoung Kim, Seung-Hyun Ko, Jung-Min Koh, Bo-Yeon Kim, Sang Wan Kim, Soo-Kyung Kim, Hae Jin Kim, Ohk-Hyun Ryu, Juri Park, Jung Soo Lim, Seong Yeon Kim, Young Kee Shong, Soon Jib Yoo
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Endocrinol Metab. 2017;32(2):200-218. Published online June 23, 2017
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DOI: https://doi.org/10.3803/EnM.2017.32.2.200
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An adrenal incidentaloma is an adrenal mass found in an imaging study performed for other reasons unrelated to adrenal disease and often accompanied by obesity, diabetes, or hypertension. The prevalence and incidence of adrenal incidentaloma increase with age and are also expected to rise due to the rapid development of imaging technology and frequent imaging studies. The Korean Endocrine Society is promoting an appropriate practice guideline to meet the rising incidence of adrenal incidentaloma, in cooperation with the Korean Adrenal Gland and Endocrine Hypertension Study Group. In this paper, we discuss important core issues in managing the patients with adrenal incidentaloma. After evaluating core proposition, we propose the most critical 20 recommendations from the initially organized 47 recommendations by Delphi technique.
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- Obesity and Metabolism
- 2014 Clinical Practice Guidelines for Overweight and Obesity in Korea
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Mee Kyoung Kim, Won-Young Lee, Jae-Heon Kang, Jee-Hyun Kang, Bom Taeck Kim, Seon Mee Kim, Eun Mi Kim, Sang-Hoon Suh, Hye Jung Shin, Kyu Rae Lee, Ki Young Lee, Sang Yeoup Lee, Seon Yeong Lee, Seong-Kyu Lee, Chang Beom Lee, Sochung Chung, In Kyung Jeong, Kyung Yul Hur, Sung Soo Kim, Jeong-taek Woo
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Endocrinol Metab. 2014;29(4):405-409. Published online December 29, 2014
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DOI: https://doi.org/10.3803/EnM.2014.29.4.405
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Abstract
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The dramatic increase in the prevalence of obesity and its accompanying comorbidities are major health concerns in Korea. Obesity is defined as a body mass index ≥25 kg/m2 in Korea. Current estimates are that 32.8% of adults are obese: 36.1% of men and 29.7% of women. The prevalence of being overweight and obese in national surveys is increasing steadily. Early detection and the proper management of obesity are urgently needed. Weight loss of 5% to 10% is the standard goal. In obese patients, control of cardiovascular risk factors deserves the same emphasis as weight-loss therapy. Since obesity is multifactorial, proper care of obesity requires a coordinated multidisciplinary treatment team, as a single intervention is unlikely to modify the incidence or natural history of obesity.
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- Thyroid
- Natural Course of Cytologically Benign Thyroid Nodules: Observation of Ultrasonographic Changes
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Dong Jun Lim, Jee Young Kim, Ki Hyun Baek, Mee Kyoung Kim, Woo Chan Park, Jong Min Lee, Moo Il Kang, Bong Yun Cha
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Endocrinol Metab. 2013;28(2):110-118. Published online June 18, 2013
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DOI: https://doi.org/10.3803/EnM.2013.28.2.110
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- Background
The natural course of cytologically benign thyroid nodules remains unclear. The aim of this study was to evaluate whether ultrasonographic (US) changes are associated with changes in nodule volume during follow-up. MethodsWe retrospectively reviewed over 4 years of clinical records of patients with benign thyroid nodules as confirmed by fine needle aspiration (FNA). In total, 186 patients with 202 benign thyroid nodules were included for study. We assessed for changes in nodule volume and examined the cystic portion of the nodule as well as four US features (echogenicity, margin, calcification pattern, and shape). ResultsDuring follow-up (mean, 21.7±10.7 months) and using 50% as a cutoff value, nodule volumes increased in 11.8%, exhibited no change in 79.9%, and decreased in 8.3% of patients. Proportion of nodules demonstrating at least one US change was 20.8% (42/202). The most common US changes (in descending order of frequency) were cystic change, margin change, and calcification pattern change. Nodule shape and echogenicity rarely changed. Increased nodule volume was not significantly associated with any US features or with the number of FNAs but was associated with younger age at time of diagnosis. ConclusionAlthough a portion of thyroid nodules confirmed as benign showed US changes or volume changes during the follow-up period, these findings may only represent the natural course of benign nodules. Frequent follow-up with US might be needed for only a small number of cases with suspicious US findings.
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Citations
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- Follow-up of benign thyroid nodules confirmed by ultrasound-guided core needle biopsy after inconclusive cytology on fine-needle aspiration biopsy
Yoon Ji Hwang, Hye Ryoung Koo, Jeong Seon Park Ultrasonography.2023; 42(1): 121. CrossRef - Clinical Characteristics, Diagnostic Approach and Outcome of Thyroid Incidental Findings vs. Clinically Overt Thyroid Nodules: An Observational Single-Centre Study
Tom Jansen, Nike Stikkelbroeck, Annenienke van de Ven, Ilse van Engen-van Grunsven, Marcel Janssen, Han Bonenkamp, Martin Gotthardt, Romana T. Netea-Maier Cancers.2023; 15(8): 2350. CrossRef - Association between various thyroid gland diseases, TSH values and thyroid cancer: a case–control study
Leif Schiffmann, Karel Kostev, Matthias Kalder Journal of Cancer Research and Clinical Oncology.2020; 146(11): 2989. CrossRef - TI-RADS und andere sonografische Klassifikationssysteme für Schilddrüsenknoten
Julian M. M. Rogasch, Christoph Wetz, Winfried Brenner Onkologie up2date.2020; 2(03): 223. CrossRef - TI-RADS und andere sonografische Klassifikationssysteme für Schilddrüsenknoten
Julian M.M. Rogasch, Christoph Wetz, Winfried Brenner Radiopraxis.2020; 13(01): E1. CrossRef - Changes of Nodular Size and Its Risk Factors in Iodine-Sufficient Area: a Retrospective Cohort Analysis of 7753 Thyroid Nodules
Hwa Young Ahn, Kyung Won Kim, Hoon Sung Choi, Jae Hoon Moon, Ka Hee Yi, Min Kyung Hyun, Min Joo Kang, Jung Im Shim, Ja Youn Lee, Do Joon Park, Young Joo Park International Journal of Thyroidology.2020; 13(2): 118. CrossRef - Comparison of Natural Course between Thyroid Cancer Nodules and Thyroid Benign Nodules
Kyun-Jin Yun, Jeonghoon Ha, Min-Hee Kim, Ye Young Seo, Mee Kyoung Kim, Hyuk-Sang Kwon, Ki-Ho Song, Moo Il Kang, Ki-Hyun Baek Endocrinology and Metabolism.2019; 34(2): 195. CrossRef - Risk factors for hypothyroidism in euthyroid thyroid nodule patients with lymphocytic thyroiditis on fine needle aspiration cytology
Jeong-Min Lee, Jeonghoon Ha, Kwanhoon Jo, Yejee Lim, Min-Hee Kim, Chan-Kwan Jung, So-Lyung Jung, Moo-Il Kang, Bong-Yun Cha, Dong-Jun Lim The Korean Journal of Internal Medicine.2019; 34(6): 1287. CrossRef - Evaluation of the natural course of thyroid nodules in patients with acromegaly
Sema Ciftci Dogansen, Artur Salmaslioglu, Gulsah Yenidunya Yalin, Seher Tanrikulu, Sema Yarman Pituitary.2019; 22(1): 29. CrossRef - TI-RADS und andere sonografische Klassifikationssystemefür Schilddrüsenknoten
Julian M.M. Rogasch, Christoph Wetz, Winfried Brenner Der Nuklearmediziner.2019; 42(03): 206. CrossRef - Molecular profiling of thyroid nodule fine-needle aspiration cytology
Markus Eszlinger, Lorraine Lau, Sana Ghaznavi, Christopher Symonds, Shamir P. Chandarana, Moosa Khalil, Ralf Paschke Nature Reviews Endocrinology.2017; 13(7): 415. CrossRef - Diagnostic accuracy of thyroid nodule growth to predict malignancy in thyroid nodules with benign cytology: systematic review and meta‐analysis
Naykky Singh Ospina, Spyridoula Maraka, Ana Espinosa DeYcaza, Derek O'Keeffe, Juan P. Brito, Michael R. Gionfriddo, M. Regina Castro, John C. Morris, Patricia Erwin, Victor M. Montori Clinical Endocrinology.2016; 85(1): 122. CrossRef - Rapid thyroid nodule growth is not a marker for well-differentiated thyroid cancer
Claudius Falch, Steffen Axt, Bettina Scuffi, Alfred Koenigsrainer, Andreas Kirschniak, Sven Muller World Journal of Surgical Oncology.2015;[Epub] CrossRef - Predicting the Size of Benign Thyroid Nodules and Analysis of Associated Factors That Affect Nodule Size
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Naomi Hayashida, Misa Imaizumi, Hiroki Shimura, Fumihiko Furuya, Noriyuki Okubo, Yasushi Asari, Takeshi Nigawara, Sanae Midorikawa, Kazuhiko Kotani, Shigeyuki Nakaji, Akira Ohtsuru, Takashi Akamizu, Masafumi Kitaoka, Shinichi Suzuki, Nobuyuki Taniguchi, S Scientific Reports.2015;[Epub] CrossRef - Brief Review of Articles in 'Endocrinology and Metabolism' in 2013
Won-Young Lee Endocrinology and Metabolism.2014; 29(3): 251. CrossRef - Natural Course of Cytologically Diagnosed Benign Thyroid Nodules
Eun-Kyung Kim Journal of Korean Thyroid Association.2014; 7(2): 136. CrossRef - Ruling in or ruling out thyroid malignancy by molecular diagnostics of thyroid nodules
Markus Eszlinger, László Hegedüs, Ralf Paschke Best Practice & Research Clinical Endocrinology & Metabolism.2014; 28(4): 545. CrossRef - Insufficient Experience in Thyroid Fine-Needle Aspiration Leads to Misdiagnosis of Thyroid Cancer
Jung Il Son, Sang Youl Rhee, Jeong-taek Woo, Won Seo Park, Jong Kyu Byun, Yu-Jin Kim, Ja Min Byun, Sang Ouk Chin, Suk Chon, Seungjoon Oh, Sung Woon Kim, Young Seol Kim Endocrinology and Metabolism.2014; 29(3): 293. CrossRef - Clinical Outcomes in Patients with Non-Diagnostic Thyroid Fine Needle Aspiration Cytology: Usefulness of the Thyroid Core Needle Biopsy
Sung Hak Lee, Min Hee Kim, Ja Seong Bae, Dong Jun Lim, So Lyung Jung, Chan Kwon Jung Annals of Surgical Oncology.2014; 21(6): 1870. CrossRef - Letter: Natural Course of Cytologically Benign Thyroid Nodules: Observation of Ultrasonographic Changes (Endocrinol Metab 2013;28:110-8, Dong Jun Lim et al.)
Sun Wook Cho Endocrinology and Metabolism.2013; 28(3): 241. CrossRef - Natural Course of Benign Thyroid Nodules
Kyung Won Kim Endocrinology and Metabolism.2013; 28(2): 94. CrossRef - Response: Natural Course of Cytologically Benign Thyroid Nodules: Observation of Ultrasonographic Changes (Endocrinol Metab 2013;28:110-8, Dong Jun Lim et al.)
Dong Jun Lim, Ki Hyun Baek Endocrinology and Metabolism.2013; 28(3): 243. CrossRef
- A Case of Graves' Disease Associated with Systemic Sclerosis.
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Yune Jeong Lee, Mee Kyoung Kim, Dong Jun Lim, Ki Hoon Hur, Ki Hyun Baek, Moo Il Kang, Chul Soo Cho, Kwang Woo Lee, Gyeong Sin Park
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J Korean Endocr Soc. 2007;22(3):220-224. Published online June 1, 2007
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DOI: https://doi.org/10.3803/jkes.2007.22.3.220
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- Systemic sclerosis is associated with a broad spectrum of autoimmune thyroid diseases. The association between systemic scleroderma and hypothyroidism is well established. However, there have been very few reports concerning the association between hyperthyroidism and systemic scleroderma. We experienced a patient with Graves' disease who presented with muscle weakness and the patient was finally diagnosed with systemic sclerosis via pathological examination of the muscle. We describe here a rare case of systemic sclerosis associated with Graves` disease.
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Citations
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- Systemic Sclerosis Associated with Non-small Cell Lung Cancer and Papillary Thyroid Cancer: Case Report and Literature Review
Ho Jae Kim, Jung Joo Kim, Hee Jung Park, Yong Tai Kim The Korean Journal of Medicine.2017; 92(3): 316. CrossRef
- Deep Learning Technology for Classification of Thyroid Nodules Using Multi-View Ultrasound Images: Potential Benefits and Challenges in Clinical Application
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Jinyoung Kim, Min-Hee Kim, Dong-Jun Lim, Hankyeol Lee, Jae Jun Lee, Hyuk-Sang Kwon, Mee Kyoung Kim, Ki-Ho Song, Tae-Jung Kim, So Lyung Jung, Yong Oh Lee, Ki-Hyun Baek
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Received June 3, 2024 Accepted September 23, 2024 Published online January 13, 2025
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DOI: https://doi.org/10.3803/EnM.2024.2058
[Epub ahead of print]
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Abstract
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- Background
This study aimed to evaluate the applicability of deep learning technology to thyroid ultrasound images for classification of thyroid nodules.
Methods This retrospective analysis included ultrasound images of patients with thyroid nodules investigated by fine-needle aspiration at the thyroid clinic of a single center from April 2010 to September 2012. Thyroid nodules with cytopathologic results of Bethesda category V (suspicious for malignancy) or VI (malignant) were defined as thyroid cancer. Multiple deep learning algorithms based on convolutional neural networks (CNNs) —ResNet, DenseNet, and EfficientNet—were utilized, and Siamese neural networks facilitated multi-view analysis of paired transverse and longitudinal ultrasound images.
Results Among 1,048 analyzed thyroid nodules from 943 patients, 306 (29%) were identified as thyroid cancer. In a subgroup analysis of transverse and longitudinal images, longitudinal images showed superior prediction ability. Multi-view modeling, based on paired transverse and longitudinal images, significantly improved the model performance; with an accuracy of 0.82 (95% confidence intervals [CI], 0.80 to 0.86) with ResNet50, 0.83 (95% CI, 0.83 to 0.88) with DenseNet201, and 0.81 (95% CI, 0.79 to 0.84) with EfficientNetv2_ s. Training with high-resolution images obtained using the latest equipment tended to improve model performance in association with increased sensitivity.
Conclusion CNN algorithms applied to ultrasound images demonstrated substantial accuracy in thyroid nodule classification, indicating their potential as valuable tools for diagnosing thyroid cancer. However, in real-world clinical settings, it is important to aware that model performance may vary depending on the quality of images acquired by different physicians and imaging devices.
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