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Seon-Ah Cha  (Cha SA) 4 Articles
Metabolic Risk/Epidemiology
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Short-Term Effects of the Internet-Based Korea Diabetes Prevention Study: 6-Month Results of a Community-Based Randomized Controlled Trial
Jin-Hee Lee, Sun-Young Lim, Seon-Ah Cha, Chan-Jung Han, Ah Reum Jung, Kook-Rye Kim, Kun-Ho Yoon, Seung-Hyun Ko
Diabetes Metab J. 2021;45(6):960-965.   Published online March 17, 2021
DOI: https://doi.org/10.4093/dmj.2020.0225
  • 6,547 View
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  • 8 Web of Science
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Graphical AbstractGraphical Abstract AbstractAbstract PDFPubReader   ePub   
The aims of this study were to determine the short-term effectiveness of an internet-based lifestyle modification (LSM) program in preventing the onset of type 2 diabetes mellitus (T2DM) in prediabetes patients in community settings. A total of 415 subjects who were diagnosed with prediabetes were randomly assigned to the LSM and standard management (SM) groups. After the 6-month intervention, the LSM group had a statistically significant reduction in body weight, body mass index compared to the SM group participants. In the LSM group, blood glucose levels were significantly decreased after intervention and the clinical improvement effect was evident in the group that achieved the target weight loss of 5% or more of the initial weight for 6 months. Internet-based 6-month-intensive LSM programs conducted by public health center personnel are an effective way to provide lifestyle intervention programs and encourage maintenance of healthy behaviors in subjects with a high risk of T2DM in community settings.

Citations

Citations to this article as recorded by  
  • Digital lifestyle interventions for cardiovascular risk reduction: A systematic review and network meta-analysis
    Teketo Kassaw Tegegne, Desalegn Markos Shifti, Jonathan Charles Rawstorn, Paul Jansons, Yuxin Zhang, Reza Daryabeygikhotbehsara, Sheikh Mohammed Shariful Islam, Ralph Maddison
    Health Policy and Technology.2024; 13(3): 100879.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association
    Jun Sung Moon, Shinae Kang, Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, Yoon Ju Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang
    Diabetes & Metabolism Journal.2024; 48(4): 546.     CrossRef
  • U-shaped association between online information exchange and app usage frequency: a large-scale survey of China ‘s online young and middle-aged people with pre diabetes and diabetes
    Hanbin Guo, Yibiao Xiao, Canlin Liao, Jiating Sun, Yanchun Xie, Yitong Zheng, Guanhua Fan
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Innovation in diabetes prevention research: The 36-year legacy of China Da Qing diabetes prevention study
    Xin Chai, Yachen Wang, Jinping Wang, Qiuhong Gong, Juan Zhang, Ruitai Shao
    Chinese Science Bulletin.2023; 68(28-29): 3834.     CrossRef
  • Efficacy of Personalized Diabetes Self-care Using an Electronic Medical Record–Integrated Mobile App in Patients With Type 2 Diabetes: 6-Month Randomized Controlled Trial
    Eun Young Lee, Seon-Ah Cha, Jae-Seung Yun, Sun-Young Lim, Jin-Hee Lee, Yu-Bae Ahn, Kun-Ho Yoon, Min Kyung Hyun, Seung-Hyun Ko
    Journal of Medical Internet Research.2022; 24(7): e37430.     CrossRef
  • Prevention of type 2 diabetes through remotely administered lifestyle programs: A systematic review
    Valaree Villegas, Alisha Shah, JoAnn E. Manson, Deirdre K. Tobias
    Contemporary Clinical Trials.2022; 119: 106817.     CrossRef
  • 2021 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
    Kyu Yeon Hur, Min Kyong Moon, Jong Suk Park, Soo-Kyung Kim, Seung-Hwan Lee, Jae-Seung Yun, Jong Ha Baek, Junghyun Noh, Byung-Wan Lee, Tae Jung Oh, Suk Chon, Ye Seul Yang, Jang Won Son, Jong Han Choi, Kee Ho Song, Nam Hoon Kim, Sang Yong Kim, Jin Wha Kim,
    Diabetes & Metabolism Journal.2021; 45(4): 461.     CrossRef
  • 2021 Clinical Practice Guidelines for Diabetes Mellitus in Korea
    Seung-Hyun Ko
    The Journal of Korean Diabetes.2021; 22(4): 244.     CrossRef
Complications
Baseline-Corrected QT (QTc) Interval Is Associated with Prolongation of QTc during Severe Hypoglycemia in Patients with Type 2 Diabetes Mellitus
Seon-Ah Cha, Jae-Seung Yun, Tae-Seok Lim, Yoon-Goo Kang, Kang-Min Lee, Ki-Ho Song, Ki-Dong Yoo, Yong-Moon Park, Seung-Hyun Ko, Yu-Bae Ahn
Diabetes Metab J. 2016;40(6):463-472.   Published online October 5, 2016
DOI: https://doi.org/10.4093/dmj.2016.40.6.463
  • 4,336 View
  • 50 Download
  • 10 Web of Science
  • 10 Crossref
AbstractAbstract PDFPubReader   
Background

We investigated an association between baseline heart rate-corrected QT (QTc) interval before severe hypoglycemia (SH) and prolongation of QTc interval during SH in patients with type 2 diabetes mellitus (T2DM).

Methods

Between January 2004 and June 2014, 208 patients with T2DM, who visited the emergency department because of SH and underwent standard 12-lead electrocardiography within the 6-month period before SH were consecutively enrolled. The QTc interval was analyzed during the incidence of SH, and 6 months before and after SH. QTc intervals of 450 ms or longer in men and 460 ms or longer in women were considered abnormally prolonged.

Results

The mean age and diabetes duration were 68.1±12.1 and 14.1±10.1 years, respectively. The mean QTc intervals at baseline and SH episodes were 433±33 and 460±33 ms, respectively (P<0.001). One hundred and fourteen patients (54.8%) had a prolonged QTc interval during SH. There was a significant decrease in the prolonged QTc interval within 6 months after SH (QTc interval prolongation during SH vs. after recovery, 54.8% vs. 33.8%, P<0.001). The prolonged QTc interval was significantly associated with baseline QTc interval prolongation (odds ratio, 2.92; 95% confidence interval, 1.22 to 6.96; P=0.016) after adjusting for multiple confounders.

Conclusion

A prolonged QTc interval at baseline was significantly associated with prolongation of the QTc interval during SH in patients with T2DM, suggesting the necessity of QTc interval monitoring and attention to those with a prolonged QTc interval to prevent SH.

Citations

Citations to this article as recorded by  
  • Prevalence of QT prolongation and its risk factors in patients with type 2 diabetes
    Khaled Aburisheh, Mohammad F. AlKheraiji, Saleh I. Alwalan, Arthur C. Isnani, Mohamed Rafiullah, Muhammad Mujammami, Assim A. Alfadda
    BMC Endocrine Disorders.2023;[Epub]     CrossRef
  • U-shaped association between the triglyceride–glucose index and atrial fibrillation incidence in a general population without known cardiovascular disease
    Xiao Liu, Ayiguli Abudukeremu, Yuan Jiang, Zhengyu Cao, Maoxiong Wu, Jianyong Ma, Runlu Sun, Wanbing He, Zhiteng Chen, Yangxin Chen, Peng Yu, Wengen Zhu, Yuling Zhang, Jingfeng Wang
    Cardiovascular Diabetology.2023;[Epub]     CrossRef
  • Celebrities in the heart, strangers in the pancreatic beta cell: Voltage‐gated potassium channels Kv7.1 and Kv11.1 bridge long QT syndrome with hyperinsulinaemia as well as type 2 diabetes
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    Acta Physiologica.2022;[Epub]     CrossRef
  • Severe hypoglycemia as a risk factor for cardiovascular outcomes in patients with type 2 diabetes: is it preventable?
    Seung-Hyun Ko
    Cardiovascular Prevention and Pharmacotherapy.2022; 4(3): 106.     CrossRef
  • Heart rate-corrected QT interval prolongation is associated with decreased heart rate variability in patients with type 2 diabetes
    Seon-Ah Cha
    Medicine.2022; 101(45): e31511.     CrossRef
  • Severe hypoglycemia as a preventable risk factor for cardiovascular disease in patients with type 2 diabetes mellitus
    Soo-Yeon Choi, Seung-Hyun Ko
    The Korean Journal of Internal Medicine.2021; 36(2): 263.     CrossRef
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    Marile Santamarina, Curt J. Carlson
    BMC Cardiovascular Disorders.2019;[Epub]     CrossRef
  • Antioxidant effects of epigallocatechin-3-gallate on the aTC1-6 pancreatic alpha cell line
    Ting Cao, Xiong Zhang, Dan Yang, Yue-Qian Wang, Zheng-Dong Qiao, Jian-Ming Huang, Peng Zhang
    Biochemical and Biophysical Research Communications.2018; 495(1): 693.     CrossRef
  • Severe hypoglycemia is a risk factor for atrial fibrillation in type 2 diabetes mellitus: Nationwide population-based cohort study
    Seung-Hyun Ko, Yong-Moon Park, Jae-Seung Yun, Seon-Ah Cha, Eue-Keun Choi, Kyungdo Han, Eugene Han, Yong-ho Lee, Yu-Bae Ahn
    Journal of Diabetes and its Complications.2018; 32(2): 157.     CrossRef
  • Incidence of prolonged QTc and severe hypoglycemia in type 1 diabetes: the EURODIAB Prospective Complications Study
    Cristina Amione, Sara Giunti, Paolo Fornengo, Sabita S. Soedamah-Muthu, Nish Chaturvedi, J. H. Fuller, Federica Barutta, Gabriella Gruden, Graziella Bruno
    Acta Diabetologica.2017; 54(9): 871.     CrossRef
Complications
Clinical Course and Risk Factors of Diabetic Retinopathy in Patients with Type 2 Diabetes Mellitus in Korea
Jae-Seung Yun, Tae-Seok Lim, Seon-Ah Cha, Yu-Bae Ahn, Ki-Ho Song, Jin A Choi, Jinwoo Kwon, Donghyun Jee, Yang Kyung Cho, Yong-Moon Park, Seung-Hyun Ko
Diabetes Metab J. 2016;40(6):482-493.   Published online October 5, 2016
DOI: https://doi.org/10.4093/dmj.2016.40.6.482
  • 5,312 View
  • 72 Download
  • 33 Web of Science
  • 36 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

We investigated clinical course and risk factors for diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM).

Methods

A total of 759 patients with T2DM without DR were included from January 2001 to December 2004. Retinopathy evaluation was performed at least annually by ophthalmologists. The severity of the DR was classified into five categories according to the International Clinical Diabetic Retinopathy Severity Scales.

Results

Of the 759 patients, 523 patients (68.9%) completed the follow-up evaluation. During the follow-up period, 235 patients (44.9%) developed DR, and 32 patients (13.6%) progressed to severe nonproliferative DR (NPDR) or proliferative DR (PDR). The mean duration of diabetes at the first diagnosis of mild NPDR, moderate NPDR, and severe NPDR or PDR were 14.8, 16.7, and 17.3 years, respectively. After adjusting multiple confounding factors, the significant risk factors for the incidence of DR risk in patients with T2DM were old age, longer duration of diabetes, higher mean glycosylated hemoglobin (HbA1c), and albuminuria. Even in the patients who had been diagnosed with diabetes for longer than 10 years at baseline, a decrease in HbA1c led to a significant reduction in the risk of developing DR (hazard ratio, 0.73 per 1% HbA1c decrement; 95% confidence interval, 0.58 to 0.91; P=0.005).

Conclusion

This prospective cohort study demonstrates that glycemic control, diabetes duration, age, and albuminuria are important risk factors for the development of DR. More aggressive retinal screening for T2DM patients diagnosed with DR should be required in order to not miss rapid progression of DR.

Citations

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    Jae-Seung Yun, Jaesik Kim, Sang-Hyuk Jung, Seon-Ah Cha, Seung-Hyun Ko, Yu-Bae Ahn, Hong-Hee Won, Kyung-Ah Sohn, Dokyoon Kim
    Nutrition, Metabolism and Cardiovascular Diseases.2022; 32(5): 1218.     CrossRef
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Complications
Severe Hypoglycemia and Cardiovascular or All-Cause Mortality in Patients with Type 2 Diabetes
Seon-Ah Cha, Jae-Seung Yun, Tae-Seok Lim, Seawon Hwang, Eun-Jung Yim, Ki-Ho Song, Ki-Dong Yoo, Yong-Moon Park, Yu-Bae Ahn, Seung-Hyun Ko
Diabetes Metab J. 2016;40(3):202-210.   Published online April 5, 2016
DOI: https://doi.org/10.4093/dmj.2016.40.3.202
  • 5,257 View
  • 65 Download
  • 50 Web of Science
  • 58 Crossref
AbstractAbstract PDFPubReader   
Background

We investigated the association between severe hypoglycemia (SH) and the risk of cardiovascular (CV) or all-cause mortality in patients with type 2 diabetes.

Methods

The study included 1,260 patients aged 25 to 75 years with type 2 diabetes from the Vincent Type 2 Diabetes Resgistry (VDR), who consecutively enrolled (n=1,260) from January 2000 to December 2010 and were followed up until May 2015 with a median follow-up time of 10.4 years. Primary outcomes were death from any cause or CV death. We investigated the association between the CV or all-cause mortality and various covariates using Cox proportional hazards regression analysis.

Results

Among the 906 participants (71.9%) who completed follow-up, 85 patients (9.4%) had at least one episode of SH, and 86 patients (9.5%) died (9.1 per 1,000 patient-years). Patients who had died were older, had a longer duration of diabetes and hypertension, received more insulin, and had more diabetic microvascular complications at baseline, as compared with surviving patients. The experience of SH was significantly associated with an increased risk of all-cause mortality (hazard ratio [HR], 2.64; 95% confidence interval [CI], 1.39 to 5.02; P=0.003) and CV mortality (HR, 6.34; 95% CI, 2.02 to 19.87; P=0.002) after adjusting for sex, age, diabetic duration, hypertension, mean glycosylated hemoglobin levels, diabetic nephropathy, lipid profiles, and insulin use.

Conclusion

We found a strong association between SH and increased risk of all-cause and CV mortality in patients with type 2 diabetes.

Citations

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  • Meta-Analysis: Association Between Hypoglycemia and Serious Adverse Events in Older Patients Treated With Glucose-Lowering Agents
    Katharina Mattishent, Yoon K. Loke
    Frontiers in Endocrinology.2021;[Epub]     CrossRef
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    Metabolism.2021; 123: 154838.     CrossRef
  • Real-world Evaluation of glycemic control and hypoglycemic Events among type 2 Diabetes mellitus study (REEDS): a multicentre, cross-sectional study in Thailand
    Bancha Satirapoj, Thongchai Pratipanawatr, Boonsong Ongphiphadhanakul, Sompongse Suwanwalaikorn, Yupin Benjasuratwong, Wannee Nitiyanant
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  • Insulin Glargine U100 Improved Glycemic Control and Reduced Nocturnal Hypoglycemia in Patients with Type 2 Diabetes Mellitus and Chronic Kidney Disease Stages 3 and 4
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  • Efficacy and safety of insulin glargine/lixisenatide (iGlarLixi) fixed-ratio combination in older adults with type 2 diabetes
    Yehuda Handelsman, Christina Chovanes, Terry Dex, Francesco Giorgino, Neil Skolnik, Elisabeth Souhami, William Stager, Elisabeth Niemoeller, Juan Pablo Frias
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    Victor Sokolov, Tatiana Yakovleva, Shinya Ueda, Joanna Parkinson, David W. Boulton, Robert C. Penland, Weifeng Tang
    Diabetes, Obesity and Metabolism.2019; 21(4): 829.     CrossRef
  • Effects on clinical outcomes of intensifying triple oral antidiabetic drug (OAD) therapy by initiating insulin versus enhancing OAD therapy in patients with type 2 diabetes: A nationwide population‐based, propensity‐score‐matched cohort study
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    Richard E. Pratley, Scott S. Emerson, Edward Franek, Matthew P. Gilbert, Steven P. Marso, Darren K. McGuire, Thomas R. Pieber, Bernard Zinman, Charlotte T. Hansen, Melissa V. Hansen, Thomas Mark, Alan C. Moses, John B. Buse
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    BMC Cardiovascular Disorders.2019;[Epub]     CrossRef
  • Effects of a 12-week moderate-intensity exercise training on blood glucose response in patients with type 2 diabetes
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    Medicine.2019; 98(36): e16860.     CrossRef
  • Impaired Awareness of Hypoglycaemia in Insulin-treated Type 2 Diabetes Mellitus
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  • Sulfonylureas as initial treatment for type 2 diabetes and the risk of adverse cardiovascular events: A population‐based cohort study
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  • Cost-effectiveness of a primary care multidisciplinary Risk Assessment and Management Program for patients with diabetes mellitus (RAMP-DM) over lifetime
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  • Efficacy and safety of sensor-augmented pump therapy (SAPT) with predictive low-glucose management in patients diagnosed with type 1 diabetes mellitus previously treated with SAPT and low glucose suspend
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  • Recent diabetes-related mortality trends in Romania
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    Medical Council.2018; (16): 100.     CrossRef
  • Severe hypoglycemia is a risk factor for atrial fibrillation in type 2 diabetes mellitus: Nationwide population-based cohort study
    Seung-Hyun Ko, Yong-Moon Park, Jae-Seung Yun, Seon-Ah Cha, Eue-Keun Choi, Kyungdo Han, Eugene Han, Yong-ho Lee, Yu-Bae Ahn
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  • Antioxidant effects of epigallocatechin-3-gallate on the aTC1-6 pancreatic alpha cell line
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  • Hemoglobin glycation index predicts cardiovascular disease in people with type 2 diabetes mellitus: A 10-year longitudinal cohort study
    Mee Kyoung Kim, Jee Sun Jeong, Jae-Seung Yun, Hyuk-Sang Kwon, Ki Hyun Baek, Ki-Ho Song, Yu-Bae Ahn, Seung-Hyun Ko
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    Bernard Zinman, Steven P. Marso, Neil R. Poulter, Scott S. Emerson, Thomas R. Pieber, Richard E. Pratley, Martin Lange, Kirstine Brown-Frandsen, Alan Moses, Ann Marie Ocampo Francisco, Jesper Barner Lekdorf, Kajsa Kvist, John B. Buse
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  • Efficacy and safety of sensor-augmented pump therapy (SAPT) with predictive low-glucose management in patients diagnosed with type 1 diabetes mellitus previously treated with SAPT and low glucose suspend
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  • Time- and frequency-domain measures of heart rate variability predict cardiovascular outcome in patients with type 2 diabetes
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  • Newly diagnosed type 2 diabetes in an ethnic minority population: clinical presentation and comparison to other populations
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  • DEVOTE 3: temporal relationships between severe hypoglycaemia, cardiovascular outcomes and mortality
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  • Intervention effects of Compound Houttuyniae Herba to diabetic renal damage based on SOCS-JAK/STAT negative feedback regulation
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  • Monotherapy in Patients with Type 2 Diabetes Mellitus
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    Diabetes & Metabolism Journal.2017; 41(5): 349.     CrossRef
  • Monotherapy in patients with type 2 diabetes mellitus
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  • Cardiovascular effects of dipeptidyl peptidase-4 inhibitor in diabetic patients with and without established cardiovascular disease: a meta-analysis and systematic review
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    Seung-Hyun Ko, Kyu-Yeon Hur, Sang Youl Rhee, Nan-Hee Kim, Min Kyong Moon, Seok-O Park, Byung-Wan Lee, Hyun Jin Kim, Kyung Mook Choi, Jin Hwa Kim
    Diabetes & Metabolism Journal.2017; 41(5): 337.     CrossRef
  • Effects of propofol on myocardial ischemia-reperfusion injury in rats with type-2 diabetes mellitus
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  • Cardiovascular risk assessment in patients with diabetes
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    Diabetology & Metabolic Syndrome.2017;[Epub]     CrossRef
  • Pathogenetic features of the combined course of arterial hypertension and diabetes mellitus 2 type
    O.M. Bilovol, L.R. Bobronnikova, O.V. Al-Trawneh
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  • Risk Factors and Adverse Outcomes of Severe Hypoglycemia in Type 2 Diabetes Mellitus
    Jae-Seung Yun, Seung-Hyun Ko
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  • Real-world evidence for the safety of ipragliflozin in elderly Japanese patients with type 2 diabetes mellitus (STELLA-ELDER): final results of a post-marketing surveillance study
    Koutaro Yokote, Yasuo Terauchi, Ichiro Nakamura, Haruko Sugamori
    Expert Opinion on Pharmacotherapy.2016; 17(15): 1995.     CrossRef
  • Hypoglycemia: Culprit or Bystander?
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    Diabetes & Metabolism Journal.2016; 40(3): 190.     CrossRef
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    E. Fritschka
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