Endocrinology and Metabolism

Original Articles

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

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Abstract PDF Supplementary Material PubReader ePub Crossref - TDM: 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.

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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Abstract PDF Supplementary Material PubReader ePub Crossref - TDM

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

Review Article

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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Abstract PDF Supplementary Material PubReader ePub Crossref - TDM

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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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

Original Articles

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

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Abstract PDF PubReader ePub Crossref - TDM

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;[Epub] 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

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

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Abstract PDF Supplementary Material PubReader ePub Crossref - TDM

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 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

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

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Abstract PDF Supplementary Material PubReader ePub Crossref - TDM

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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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
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

Review Article

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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Abstract PDF PubReader ePub Crossref - TDM

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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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
Optimal Low-Density Lipoprotein Cholesterol Level for Primary Prevention in Koreans with Type 2 Diabetes Mellitus
Ji Yoon Kim, Nam Hoon Kim
Diabetes & Metabolism Journal.2023; 47(1): 42. CrossRef
Efficacy and safety of enavogliflozin versus dapagliflozin added to metformin plus gemigliptin treatment in patients with type 2 diabetes: A double-blind, randomized, comparator-active study: ENHANCE-D study
Kyung-Soo Kim, Kyung Ah Han, Tae Nyun Kim, Cheol-Young Park, Jung Hwan Park, Sang Yong Kim, Yong Hyun Kim, Kee Ho Song, Eun Seok Kang, Chul Sik Kim, Gwanpyo Koh, Jun Goo Kang, Mi Kyung Kim, Ji Min Han, Nan Hee Kim, Ji Oh Mok, Jae Hyuk Lee, Soo Lim, Sang S
Diabetes & Metabolism.2023; 49(4): 101440. CrossRef
Finerenone: Efficacy of a New Nonsteroidal Mineralocorticoid Receptor Antagonist in Treatment of Patients With Chronic Kidney Disease and Type 2 Diabetes
Subo Dey, Jasmine Garg, Andy Wang, Eva Holzner, William H. Frishman, Wilbert S. Aronow
Cardiology in Review.2023;[Epub] CrossRef
Impact of mental disorders on the risk of heart failure among Korean patients with diabetes: a cohort study
Tae Kyung Yoo, Kyung-Do Han, Eun-Jung Rhee, Won-Young Lee
Cardiovascular Diabetology.2023;[Epub] CrossRef
Chronic disease management program applied to type 2 diabetes patients and prevention of diabetic complications: a retrospective cohort study using nationwide data
Min Kyung Hyun, Jang Won Lee, Seung-Hyun Ko
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International Journal of Molecular Sciences.2023; 24(13): 10718. CrossRef
Association between type 2 diabetes mellitus and depression among Korean midlife women: a cross-sectional analysis study
You Lee Yang, Eun-Ok Im, Yunmi Kim
BMC Nursing.2023;[Epub] CrossRef
Access to novel anti-diabetic agents in resource limited settings: A brief commentary
Poobalan Naidoo, Kiolan Naidoo, Sumanth Karamchand, Rory F Leisegang
World Journal of Diabetes.2023; 14(7): 939. CrossRef
Comparative efficacy and safety profile of once-weekly Semaglutide versus once-daily Sitagliptin as an add-on to metformin in patients with type 2 diabetes: a systematic review and meta-analysis
Tirath Patel, Fnu Nageeta, Rohab Sohail, Tooba Shaukat Butt, Shyamala Ganesan, Fnu Madhurita, Muhammad Ahmed, Mahrukh Zafar, Wirda Zafar, Mohammad Uzair Zaman, Giustino Varrassi, Mahima Khatri, Satesh Kumar
Annals of Medicine.2023;[Epub] CrossRef
Use of Diabetes Medications before and after a Heart Failure–Related Hospitalization among Nursing Home Residents
Tingting Zhang, Andrew R. Zullo, Kaleen (Kaley) N. Hayes, Dae Hyun Kim, Yoojin Lee, Lori A. Daiello, Douglas P. Kiel, Sarah D. Berry
Journal of the American Medical Directors Association.2023;[Epub] CrossRef
Zinc Chloride Enhances the Antioxidant Status, Improving the Functional and Structural Organic Disturbances in Streptozotocin-Induced Diabetes in Rats
Irina Claudia Anton, Liliana Mititelu-Tartau, Eliza Gratiela Popa, Mihaela Poroch, Vladimir Poroch, Ana-Maria Pelin, Liliana Lacramioara Pavel, Ilie Cristian Drochioi, Gina Eosefina Botnariu
Medicina.2022; 58(11): 1620. CrossRef

Original Articles

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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Abstract PDF Supplementary Material PubReader ePub Crossref - TDM

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.

Citations

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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
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.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
Seohyun Kim, Gyuri Kim, Jae Hyeon Kim
Scientific Reports.2022;[Epub] CrossRef

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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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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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: 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

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Abstract PDF Supplementary Material PubReader ePub Crossref - TDM

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.

Citations

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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
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
Mee Kyoung Kim, Kyungdo Han, Seung-Hwan Lee
Diabetes & Metabolism Journal.2022; 46(4): 552. CrossRef
Association of Metabolic Syndrome With Incident Dementia: Role of Number and Age at Measurement of Components in a 28-Year Follow-up of the Whitehall II Cohort Study
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
Sangmo Hong, Kyungdo Han, Kyung-Soo Kim, Cheol-Young Park
Neurology.2022; 99(17): e1875. CrossRef

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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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.

Citations

Citations to this article as recorded by

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
Factors Affecting High Body Weight Variability
Kyungdo Han, Mee Kyoung Kim
Journal of Obesity & Metabolic Syndrome.2023; 32(2): 163. CrossRef
Assessing the Validity of the Criteria for the Extreme Risk Category of Atherosclerotic Cardiovascular Disease: A Nationwide Population-Based Study
Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
Journal of Lipid and Atherosclerosis.2022; 11(1): 73. CrossRef
Evaluating Triglyceride and Glucose Index as a Simple and Easy-to-Calculate Marker for All-Cause and Cardiovascular Mortality
Kyung-Soo Kim, Sangmo Hong, You-Cheol Hwang, Hong-Yup Ahn, Cheol-Young Park
Journal of General Internal Medicine.2022; 37(16): 4153. CrossRef
Effects of exercise initiation and smoking cessation after new-onset type 2 diabetes mellitus on risk of mortality and cardiovascular outcomes
Mee Kyoung Kim, Kyungdo Han, Bongsung Kim, Jinyoung Kim, Hyuk-Sang Kwon
Scientific Reports.2022;[Epub] 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
Nonalcoholic fatty liver disease and the risk of insulin-requiring gestational diabetes
Sang Youn You, Kyungdo Han, Seung-Hawn Lee, Mee Kyoung Kim
Diabetology & Metabolic Syndrome.2021;[Epub] CrossRef

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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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
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

Review Article

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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Abstract PDF PubReader ePub Crossref - TDM

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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Long-term variability in physiological measures in relation to mortality and epigenetic aging: prospective studies in the USA and China
Hui Chen, Tianjing Zhou, Shaowei Wu, Yaying Cao, Geng Zong, Changzheng Yuan
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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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Relationship between Short- and Mid-Term Glucose Variability and Blood Pressure Profile Parameters: A Scoping Review
Elena Vakali, Dimitrios Rigopoulos, Petros C. Dinas, Ioannis-Alexandros Drosatos, Aikaterini G. Theodosiadi, Andriani Vazeou, George Stergiou, Anastasios Kollias
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Feras Haskiah, Abid Khaskia
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Original Article

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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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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M.D. Tronko, L.S. Strafun, H.M. Terekhova, H.A. Zamotayeva, I.P. Pasteur
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José R. González, Charbel Damião, Maira Moran, Cristina A. Pantaleão, Rubens A. Cruz, Giovanna A. Balarini, Aura Conci
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Leif Schiffmann, Karel Kostev, Matthias Kalder
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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
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Special Article

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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Abstract PDF PubReader Crossref - TDM

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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International Journal of Molecular Sciences.2022; 23(8): 4340. CrossRef
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Binhao Zhang, Huangqi Zhang, Xin Li, Shengze Jin, Jiawen Yang, Wenting Pan, Xue Dong, Jin Chen, Wenbin Ji
Frontiers in Oncology.2022;[Epub] CrossRef
Adrenal Surgery in the Era of Multidisciplinary Endocrine Tumor Boards
Costanza Chiapponi, Daniel Pinto Dos Santos, Milan Janis Michael Hartmann, Matthias Schmidt, Michael Faust, Roger Wahba, Christiane Josephine Bruns, Anne Maria Schultheis, Hakan Alakus
Hormone and Metabolic Research.2022; 54(05): 294. CrossRef
Optimal and novel imaging of the adrenal glands
Patrick J. Navin, Michael R. Moynagh
Current Opinion in Endocrinology, Diabetes & Obesity.2022; 29(3): 253. CrossRef
Adrenal Tumors in Young Adults: Case Reports and Literature Review
Małgorzata Zdrojewska, Emilia Mech-Siebieszuk, Renata Świątkowska-Stodulska, Bartosz Regent, Michał Kunc, Łukasz Zdrojewski, Krzysztof Sworczak
Medicina.2022; 58(6): 746. CrossRef
Incidence of malignancy in adrenal nodules detected on staging CTs of patients with potentially resectable colorectal cancer
Hae Young Kim, Yoon Jin Lee, Won Chang, Ji Hoon Park, Jungheum Cho, Hyeon Jeong Oh, Young Hoon Kim, Kyoung Ho Lee
European Radiology.2022; 32(12): 8560. CrossRef
Appendiceal Incidentalomas: Prevalence, Radiographic Characteristics, Management, and Outcomes
Adam Kelly, Stacy O’Connor, Diana Kane, Chiang-Ching Huang, Harveshp Mogal
Annals of Surgical Oncology.2022; 29(13): 8265. CrossRef
Laparoscopic large adrenal mass resection: why we should be more careful?
Mohsen Varyani, Mahmood Parvin, Hamidreza Akbari Gilani
African Journal of Urology.2022;[Epub] CrossRef
Serum Visfatin/NAMPT as a Potential Risk Predictor for Malignancy of Adrenal Tumors
Nadia Sawicka-Gutaj, Hanna Komarowska, Dawid Gruszczyński, Aleksandra Derwich, Anna Klimont, Marek Ruchała
Journal of Clinical Medicine.2022; 11(19): 5563. CrossRef
Application of radiomics in adrenal incidentaloma: a literature review
Cheng Li, Yan Fu, Xiaoping Yi, Xiao Guan, Longfei Liu, Bihong T. Chen
Discover Oncology.2022;[Epub] CrossRef
Hormone-inactive adrenal tumors in clinician’s practice
T. R. Chzhen, T. P. Kiseleva
Perm Medical Journal.2022; 39(5): 48. CrossRef
The diagnostic value of salivary cortisol and salivary cortisone in patients with suspected hypercortisolism
Vendela Berndt, Per Dahlqvist, Jennie de Verdier, Henrik Ryberg, Oskar Ragnarsson
Frontiers in Endocrinology.2022;[Epub] CrossRef
The Role of Intraoperative Indocyanine Green (ICG) and Preoperative 3-Dimensional (3D) Reconstruction in Laparoscopic Adrenalectomy: A Propensity Score-matched Analysis
Giuseppe Palomba, Vincenza Paola Dinuzzi, Francesca Pegoraro, Roberto Ivan Troisi, Roberto Montalti, Giovanni Domenico De Palma, Giovanni Aprea
Surgical Laparoscopy, Endoscopy & Percutaneous Techniques.2022; 32(6): 643. CrossRef
The Etiological Profile of Adrenal Incidentalomas
Fatima-Zahra Lahmamssi, Loubna Saadaoui, Hayat Aynaou, Houda Salhi, Hanan El Ouahabi
Cureus.2022;[Epub] CrossRef
Forty Years Together, New Leap Forward! The 40th Anniversary of the Korean Endocrine Society
Jong Chul Won, Ki-Hyun Baek
Endocrinology and Metabolism.2022; 37(6): 851. CrossRef
Conduite à tenir face à un fortuitome surrénalien chez le chien ou le chat
Diane Pichard, Ghita Benckekroun
Le Nouveau Praticien Vétérinaire canine & féline.2022; 19(82): 40. CrossRef
Laparoscopic transperitoneal adrenalectomy: a comparative study of different techniques for vessel sealing
Luca Cardinali, Edlira Skrami, Elisa Catani, Flavia Carle, Monica Ortenzi, Andrea Balla, Mario Guerrieri
Surgical Endoscopy.2021; 35(2): 673. CrossRef
Epidemiology and Comorbidity of Adrenal Cushing Syndrome: A Nationwide Cohort Study
Chang Ho Ahn, Jung Hee Kim, Man Young Park, Sang Wan Kim
The Journal of Clinical Endocrinology & Metabolism.2021; 106(3): e1362. CrossRef
Urine steroid profile as a new promising tool for the evaluation of adrenal tumors. Literature review
Marta Araujo-Castro, Pablo Valderrábano, Héctor F. Escobar-Morreale, Felicia A. Hanzu, Gregori Casals
Endocrine.2021; 72(1): 40. CrossRef
A Rare Neoplasm: Primary Adrenal Leiomyosarcoma
Jack T. Barnett, Christine W. Liaw, Reza Mehrazin
Urology.2021; 148: e11. CrossRef
Adrenal Ganglioneuroma Presenting as an Incidentaloma in an Adolescent Patient
Sonia G. Sharma, Steven N. Levine, Xin Gu
AACE Clinical Case Reports.2021; 7(1): 61. CrossRef
Feasibility of Iodine-131 6β-Methyl-Iodo-19 Norcholesterol (NP-59) Scintigraphy to Complement Adrenal Venous Sampling in Management of Primary Aldosteronism: A Case Series
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International Journal of General Medicine.2021; Volume 14: 673. CrossRef
Best Achievements in Pituitary and Adrenal Diseases in 2020
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Endocrinology and Metabolism.2021; 36(1): 51. CrossRef
Adrenal surgery: Review of 35 years experience in a single centre
Enrico Battistella, Stefania Ferrari, Luca Pomba, Antonio Toniato
Surgical Oncology.2021; 37: 101554. CrossRef
Adrenocortical Carcinoma: A Case of Missed Diagnosis
Yusef Hazimeh, Carlie Sigel, Carsello Carie, Mathew Leinung, Zaynab Khalaf
Cureus.2021;[Epub] CrossRef
Imagerie fonctionnelle en endocrinologie : nouveaux paradigmes à l’horizon 2020
E. Marchal
Médecine Nucléaire.2021; 45(3): 158. CrossRef
Adrenal Incidentaloma
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New England Journal of Medicine.2021; 384(16): 1542. CrossRef
Can Hematological Parameters Play a Role in the Differential Diagnosis of Adrenal Tumors?
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Uro.2021; 1(2): 39. CrossRef
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Daniel I. Glazer, Michael T. Corwin, William W. Mayo-Smith
Radiologic Clinics of North America.2021; 59(4): 591. CrossRef
Antioxidant Barrier and Oxidative Damage to Proteins, Lipids, and DNA/RNA in Adrenal Tumor Patients
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Oxidative Medicine and Cellular Longevity.2021; 2021: 1. CrossRef
Laparoscopic Retroperitoneoscopic Removal of an Adrenal Hemangioma: a Case Report
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Journal of Endocrine Surgery.2021; 21(3): 70. CrossRef
Metabolic Subtyping of Adrenal Tumors: Prospective Multi-Center Cohort Study in Korea
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Endocrinology and Metabolism.2021; 36(5): 1131. CrossRef
Cross-Talk Between Nitrosative Stress, Inflammation and Hypoxia-Inducible Factor in Patients with Adrenal Masses
Barbara Choromańska, Piotr Myśliwiec, Tomasz Kozłowski, Magdalena Łuba, Piotr Wojskowicz, Jacek Dadan, Hanna Myśliwiec, Katarzyna Choromańska, Katarzyna Makarewicz, Anna Zalewska, Mateusz Maciejczyk
Journal of Inflammation Research.2021; Volume 14: 6317. CrossRef
Cirugía laparoscópica en incidentaloma suprarrenal para el cirujano general: serie de casos
Martín Adrián Bolívar-Rodríguez, Marcel Antonio Cázarez-Aguilar, Pedro Alejandro Magaña-Zavala, Francisco Magaña-Olivas, José Martín Niebla-Moreno
Revista Mexicana de Cirugía Endoscópica.2021; 22(1): 8. CrossRef
Adrenal adenomas: what to do with them? Review 2
S. Rybakov
INTERNATIONAL JOURNAL OF ENDOCRINOLOGY (Ukraine).2021; 17(3): 241. CrossRef
Is Follow-up of Adrenal Incidentalomas Always Mandatory?
Giuseppe Reimondo, Alessandra Muller, Elisa Ingargiola, Soraya Puglisi, Massimo Terzolo
Endocrinology and Metabolism.2020; 35(1): 26. CrossRef
Imaging Findings of Primary Adrenal Leiomyosarcoma: A Case Report
Hye Ran Yoon, Dong Hee Park
Journal of the Korean Society of Radiology.2020; 81(2): 459. CrossRef
WFUMB position paper on the management incidental findings: adrenal incidentaloma
Christoph F. Dietrich, Jean Michel Correas, Yi Dong, Christian Nolsoe, Susan Campbell Westerway, Christian Jenssen
Ultrasonography.2020; 39(1): 11. CrossRef
A nationwide survey of adrenal incidentalomas in Japan: the first report of clinical and epidemiological features
Takamasa Ichijo, Hajime Ueshiba, Hajime Nawata, Toshihiko Yanase
Endocrine Journal.2020; 67(2): 141. CrossRef
Mimics, pitfalls, and misdiagnoses of adrenal masses on CT and MRI
Khaled M. Elsayes, Mohab M. Elmohr, Sanaz Javadi, Christine O. Menias, Erick M. Remer, Ajaykumar C. Morani, Akram M. Shaaban
Abdominal Radiology.2020; 45(4): 982. CrossRef
Adrenal Incidentaloma
Mark Sherlock, Andrew Scarsbrook, Afroze Abbas, Sheila Fraser, Padiporn Limumpornpetch, Rosemary Dineen, Paul M Stewart
Endocrine Reviews.2020; 41(6): 775. CrossRef
A Web Application for Adrenal Incidentaloma Identification, Tracking, and Management Using Machine Learning
Wasif Bala, Jackson Steinkamp, Timothy Feeney, Avneesh Gupta, Abhinav Sharma, Jake Kantrowitz, Nicholas Cordella, James Moses, Frederick Thurston Drake
Applied Clinical Informatics.2020; 11(04): 606. CrossRef
Presentation and outcome of patients with an adrenal mass: A retrospective observational study
Nadeema Rafiq, Tauseef Nabi, SajadAhmad Dar, Shahnawaz Rasool
Clinical Cancer Investigation Journal.2020; 9(5): 198. CrossRef
Evaluation of Functionality and Growth Rates in Adrenal Incidentalomas: Single Center Experience
Suna AVCI, Yüksel Aslı OZTURKMEN, Sayid ZUHUR, Gulkan OZKAN, Elif GUVEN, Nazan DEMİR, Yuksel ALTUNTAS
Phoenix Medical Journal.2020; 2(3): 125. CrossRef
Percutaneous Adrenal Radiofrequency Ablation: A Short Review for Endocrinologists
Byung Kwan Park
Endocrinology and Metabolism.2020; 35(4): 750. CrossRef
Autonomous cortisol secretion in adrenal incidentalomas
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Endocrine.2019; 64(1): 1. CrossRef
Primary adrenal schwannoma: a series of 31 cases emphasizing their clinicopathologic features and favorable prognosis
Jun Zhou, Dandan Zhang, Wencai Li, Luting Zhou, Haimin Xu, Saifang Zheng, Chaofu Wang
Endocrine.2019; 65(3): 662. CrossRef
Challenging risk factors for right and left laparoscopic adrenalectomy: A single centre experience with 272 cases
Kadir Omur Gunseren, Mehmet Cagatay Cicek, Hakan Vuruskan, Yakup Kordan, Ismet Yavascaoglu
International braz j urol.2019; 45(4): 747. CrossRef
A case report on 111In chloride bone marrow scintigraphy in management of adrenal myelolipoma
Tatsuya Yamamoto, Mitsuru Koizumi, Atsushi Kohno, Noboru Numao, Kentaro Inamura
Medicine.2019; 98(8): e14625. CrossRef
PRACTICAL ASPECTS OF LAPAROSCOPIC ADRENALECTOMY IN CHILDREN WITH BENIGN ADRENAL TUMORS
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Russian Journal of Pediatric Surgery.2019; 23(5): 248. CrossRef
Incidental neuroblastoma with bilateral retinoblastoma: what are the chances?
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Ophthalmic Genetics.2018; 39(3): 410. CrossRef
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Hellenic Journal of Surgery.2018; 90(1): 27. CrossRef
Adrenal incidentaloma – diagnostic and treating problem – own experience
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Open Medicine.2018; 13(1): 281. CrossRef

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