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Mee Kyoung Kim  (Kim MK) 22 Articles
Diabetes, obesity and metabolism
Epidemiology and Trends of Obesity and Bariatric Surgery in Korea
Kyungdo Han, Jin-Hyung Jung, Su-Min Jeong, Mee Kyoung Kim
Endocrinol Metab. 2024;39(5):678-685.   Published online August 2, 2024
DOI: https://doi.org/10.3803/EnM.2024.2056
  • 2,017 View
  • 89 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
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
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Diabetes, obesity and metabolism
Younger-Onset Diabetes: Is the Age of Onset More Important than the Duration of Diabetes?
Mee Kyoung Kim
Endocrinol Metab. 2024;39(1):90-91.   Published online February 22, 2024
DOI: https://doi.org/10.3803/EnM.2024.102
  • 2,006 View
  • 67 Download
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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
Mee Kyoung Kim, Kyungdo Han, Hyuk-Sang Kwon, Soon Jib Yoo
Endocrinol Metab. 2023;38(4):426-435.   Published online July 20, 2023
DOI: https://doi.org/10.3803/EnM.2023.1737
  • 4,382 View
  • 174 Download
  • 2 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
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
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Calcium & bone metabolism
Persistence with Denosumab in Male Osteoporosis Patients: A Real-World, Non-Interventional Multicenter Study
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
Endocrinol Metab. 2023;38(2):260-268.   Published online April 27, 2023
DOI: https://doi.org/10.3803/EnM.2023.1663
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  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
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
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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
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
Endocrinol Metab. 2023;38(1):129-138.   Published online January 27, 2023
DOI: https://doi.org/10.3803/EnM.2022.1609
  • 3,623 View
  • 182 Download
  • 5 Web of Science
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AbstractAbstract PDFPubReader   ePub   
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.

Citations

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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
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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
Sun Wook Cho, Jung Hee Kim, Han Seok Choi, Hwa Young Ahn, Mee Kyoung Kim, Eun Jung Rhee
Endocrinol Metab. 2023;38(1):10-24.   Published online February 9, 2023
DOI: https://doi.org/10.3803/EnM.2023.102
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  • 20 Web of Science
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
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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Citations to this article as recorded by  
  • Different Associations between Lipid Levels and Risk for Heart Failure according to Diabetes Progression
    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
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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
Jinyoung Kim, Mee Kyoung Kim, Ki-Hyun Baek, Ki-Ho Song, Kyungdo Han, Hyuk-Sang Kwon
Endocrinol Metab. 2022;37(2):303-311.   Published online April 6, 2022
DOI: https://doi.org/10.3803/EnM.2021.1332
  • 6,181 View
  • 172 Download
  • 15 Web of Science
  • 15 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
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.

Citations

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  • Association between total cholesterol levels and all-cause mortality among newly diagnosed patients with cancer
    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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Diabetes, Obesity and Metabolism
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
Ji-Yeon Park, Kyungdo Han, Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon, Mee Kyoung Kim, Seung-Hwan Lee
Endocrinol Metab. 2022;37(2):272-280.   Published online April 13, 2022
DOI: https://doi.org/10.3803/EnM.2022.1416
  • 4,194 View
  • 106 Download
  • 7 Web of Science
  • 7 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
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.

Citations

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  • Elevated GGT to HDL ratio as a marker for the risk of NAFLD and liver fibrosis
    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
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Diabetes, Obesity and Metabolism
Recent Updates to Clinical Practice Guidelines for Diabetes Mellitus
Jin Yu, Seung-Hwan Lee, Mee Kyoung Kim
Endocrinol Metab. 2022;37(1):26-37.   Published online February 28, 2022
DOI: https://doi.org/10.3803/EnM.2022.105
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  • 1,327 Download
  • 30 Web of Science
  • 33 Crossref
AbstractAbstract PDFPubReader   ePub   
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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Diabetes, Obesity and Metabolism
Big Data Articles (National Health Insurance Service Database)
Frequency of Exposure to Impaired Fasting Glucose and Risk of Mortality and Cardiovascular Outcomes
Seung-Hwan Lee, Kyungdo Han, Hyuk-Sang Kwon, Mee Kyoung Kim
Endocrinol Metab. 2021;36(5):1007-1015.   Published online October 21, 2021
DOI: https://doi.org/10.3803/EnM.2021.1218
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  • 13 Web of Science
  • 15 Crossref
AbstractAbstract 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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Close layer
Bone Metabolism
Comparison of the Effects of Various Antidiabetic Medication on Bone Mineral Density in Patients with Type 2 Diabetes Mellitus
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
Endocrinol Metab. 2021;36(4):895-903.   Published online August 9, 2021
DOI: https://doi.org/10.3803/EnM.2021.1026
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AbstractAbstract PDFPubReader   ePub   
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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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
Yunjung Cho, Kyungdo Han, Da Hye Kim, Yong-Moon Park, Kun-Ho Yoon, Mee Kyoung Kim, Seung-Hwan Lee
Endocrinol Metab. 2021;36(2):424-435.   Published online April 14, 2021
DOI: https://doi.org/10.3803/EnM.2020.935
  • 7,342 View
  • 209 Download
  • 15 Web of Science
  • 16 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
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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    BMC Medicine.2023;[Epub]     CrossRef
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    Jin Yu, Kyu-Na Lee, Hun-Sung Kim, Kyungdo Han, Seung-Hwan Lee
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    Mee Kyoung Kim, Kyungdo Han, Seung-Hwan Lee
    Diabetes & Metabolism Journal.2022; 46(4): 552.     CrossRef
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Close layer
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
Seung-Hwan Lee, Kyungdo Han, Hun-Sung Kim, Jae-Hyoung Cho, Kun-Ho Yoon, Mee Kyoung Kim
Endocrinol Metab. 2020;35(3):636-646.   Published online September 22, 2020
DOI: https://doi.org/10.3803/EnM.2020.704
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AbstractAbstract PDFPubReader   ePub   
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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    Mee Kyoung Kim, Kyungdo Han, Hun-Sung Kim, Kun-Ho Yoon, Seung-Hwan Lee
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  • Low-Density Lipoprotein Cholesterol Level, Statin Use and Myocardial Infarction Risk in Young Adults
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  • Nonalcoholic fatty liver disease and the risk of insulin-requiring gestational diabetes
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    Diabetology & Metabolic Syndrome.2021;[Epub]     CrossRef
Close layer
Obesity and Metabolism
Effects of Cardiovascular Risk Factor Variability on Health Outcomes
Seung-Hwan Lee, Mee Kyoung Kim, Eun-Jung Rhee
Endocrinol Metab. 2020;35(2):217-226.   Published online June 24, 2020
DOI: https://doi.org/10.3803/EnM.2020.35.2.217
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  • 212 Download
  • 28 Web of Science
  • 32 Crossref
AbstractAbstract 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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Close layer
Clinical Study
Consistency of the Glycation Gap with the Hemoglobin Glycation Index Derived from a Continuous Glucose Monitoring System
Han Na Joung, Hyuk-Sang Kwon, Ki-Hyun Baek, Ki-Ho Song, Mee Kyoung Kim
Endocrinol Metab. 2020;35(2):377-383.   Published online June 24, 2020
DOI: https://doi.org/10.3803/EnM.2020.35.2.377
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AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
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.

Citations

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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
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    Alberto Maran, Mario Luca Morieri, Daniele Falaguasta, Angelo Avogaro, Gian Paolo Fadini
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    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
Close layer
Clinical Study
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
Endocrinol Metab. 2019;34(2):195-202.   Published online June 24, 2019
DOI: https://doi.org/10.3803/EnM.2019.34.2.195
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AbstractAbstract PDFPubReader   ePub   
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.

Methods

This 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.

Results

The 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.

Conclusion

It 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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    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
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    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
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    Michael Cordes, Theresa Ida Götz, Karen Horstrup, Torsten Kuwert, Christian Schmidkonz
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Close layer
Clinical Guidelines for the Management of Adrenal Incidentaloma
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
Endocrinol Metab. 2017;32(2):200-218.   Published online June 23, 2017
DOI: https://doi.org/10.3803/EnM.2017.32.2.200
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AbstractAbstract PDFPubReader   

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
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
Endocrinol Metab. 2014;29(4):405-409.   Published online December 29, 2014
DOI: https://doi.org/10.3803/EnM.2014.29.4.405
  • 11,218 View
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AbstractAbstract PDFPubReader   

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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  • Weight Change and Development of Subclinical Carotid Atherosclerosis Among Metabolically Healthy Adults: A Cohort Study
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  • Subclinical thyroid dysfunction, bone mineral density, and osteoporosis in a middle-aged Korean population
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  • Incidence of extrahepatic cancers among individuals with chronic hepatitis B or C virus infection: A nationwide cohort study
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  • The Impact of Body Mass Index on the Prognostic Value of N-Terminal proB-Type Natriuretic Peptide in Patients with Heart Failure: an Analysis from the Korean Heart Failure (KorHF) Registry
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  • Characterization of Metabolic Syndrome Risk Factors and Health-Related Behaviors in Korean Patients With Breast Cancer by Abdominal Obesity Status
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  • Antiadipogenic Effects of Mixtures of Cornus officinalis and Ribes fasciculatum Extracts on 3T3-L1 Preadipocytes and High-Fat Diet-Induced Mice
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  • Factors Associated with Dietary Control and Physical Activity in the Management of Metabolic Syndrome in Korean Menopausal Women
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  • Retinal Vein Occlusion is Associated with Low Blood High-Density Lipoprotein Cholesterol: A Nationwide Cohort Study
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  • Non alcoholic fatty liver disease and risk of incident diabetes in subjects who are not obese
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  • Association between obesity type and obstructive coronary artery disease in stable symptomatic postmenopausal women: data from the KoRean wOmen'S chest pain rEgistry (KoROSE)
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  • Female urinary incontinence and obesity assessed by anthropometry and dual‐energy X‐ray absorptiometry: Analysis from the 2008–09 Korean National Health and Nutrition Examination Survey
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  • Risk of end‐stage renal disease from chronic kidney disease defined by decreased glomerular filtration rate in type 1 diabetes: A comparison with type 2 diabetes and the effect of metabolic syndrome
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  • Difference in health status of Korean farmers according to gender
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  • The Relationship Between Serum 25-Hydroxyvitamin D Levels and Physical Performance in Community-Dwelling Older Adults
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  • The Efficacy of Body Mass Index and Total Body Fat Percent in Diagnosis Obesity according to Menopausal Status
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  • Higher serum uric acid is associated with higher lumbar spine bone mineral density in male health-screening examinees: a cross-sectional study
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  • The effects of high‐frequency repetitive transcranial magnetic stimulation on resting‐state functional connectivity in obese adults
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  • Effects of Diabetes on Motor Recovery After Cerebral Infarct: A Diffusion Tensor Imaging Study
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Close layer
Thyroid
Natural Course of Cytologically Benign Thyroid Nodules: Observation of Ultrasonographic Changes
Dong Jun Lim, Jee Young Kim, Ki Hyun Baek, Mee Kyoung Kim, Woo Chan Park, Jong Min Lee, Moo Il Kang, Bong Yun Cha
Endocrinol Metab. 2013;28(2):110-118.   Published online June 18, 2013
DOI: https://doi.org/10.3803/EnM.2013.28.2.110
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AbstractAbstract PDFPubReader   
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.

Methods

We 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).

Results

During 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.

Conclusion

Although 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.

Citations

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  • 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
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A Case of Graves' Disease Associated with Systemic Sclerosis.
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
J Korean Endocr Soc. 2007;22(3):220-224.   Published online June 1, 2007
DOI: https://doi.org/10.3803/jkes.2007.22.3.220
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AbstractAbstract PDF
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.

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
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Deep Learning Technology for Classification of Thyroid Nodules Using Multi-View Ultrasound Images: Potential Benefits and Challenges in Clinical Application
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
Received June 3, 2024  Accepted September 23, 2024  Published online January 13, 2025  
DOI: https://doi.org/10.3803/EnM.2024.2058    [Epub ahead of print]
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AbstractAbstract PDF
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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