Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Author index

Page Path
HOME > Browse > Author index
Search
Eun Ky Kim  (Kim EK) 4 Articles
Clinical Care/Education
Feasibility of a Patient-Centered, Smartphone-Based, Diabetes Care System: A Pilot Study
Eun Ky Kim, Soo Heon Kwak, Seungsu Baek, Seung Lyeol Lee, Hak Chul Jang, Kyong Soo Park, Young Min Cho
Diabetes Metab J. 2016;40(3):192-201.   Published online April 8, 2016
DOI: https://doi.org/10.4093/dmj.2016.40.3.192
  • 5,541 View
  • 55 Download
  • 20 Web of Science
  • 26 Crossref
AbstractAbstract PDFPubReader   
Background

We developed a patient-centered, smartphone-based, diabetes care system (PSDCS). This study aims to test the feasibility of glycosylated hemoglobin (HbA1c) reduction with the PSDCS.

Methods

This study was a single-arm pilot study. The participants with type 2 diabetes mellitus were instructed to use the PSDCS, which integrates a Bluetooth-connected glucometer, digital food diary, and wearable physical activity monitoring device. The primary end point was the change in HbA1c from baseline after a 12-week intervention.

Results

Twenty-nine patients aged 53.9±9.1 years completed the study. HbA1c and fasting plasma glucose levels decreased significantly from baseline (7.7%±0.7% to 7.1%±0.6%, P<0.0001; 140.9±39.1 to 120.1±31.0 mg/dL, P=0.0088, respectively). The frequency of glucose monitoring correlated with the magnitude of HbA1c reduction (r=–0.57, P=0.0013). The components of the diabetes self-care activities, including diet, exercise, and glucose monitoring, were significantly improved, particularly in the upper tertile of HbA1c reduction. There were no severe adverse events during the intervention.

Conclusion

A 12-week application of the PSDCS to patients with inadequately controlled type 2 diabetes resulted in a significant HbA1c reduction with tolerable safety profiles; these findings require confirmation in a future randomized controlled trial.

Citations

Citations to this article as recorded by  
  • Telehealth Technologies in Diabetes Self-management and Education
    Vidya Sharma, Marie Feldman, Ramaswamy Sharma
    Journal of Diabetes Science and Technology.2024; 18(1): 148.     CrossRef
  • Analysis and mapping the research landscape on patient‐centred care in the context of chronic disease management
    Waleed M. Sweileh
    Journal of Evaluation in Clinical Practice.2024; 30(4): 638.     CrossRef
  • App Design Features Important for Diabetes Self-management as Determined by the Self-Determination Theory on Motivation: Content Analysis of Survey Responses From Adults Requiring Insulin Therapy
    Helen N C Fu, Jean F Wyman, Cynthia J Peden-McAlpine, Claire Burke Draucker, Titus Schleyer, Terrence J Adam
    JMIR Diabetes.2023; 8: e38592.     CrossRef
  • The Clinical Impact of Flash Glucose Monitoring—a Digital Health App and Smartwatch Technology in Patients With Type 2 Diabetes: Scoping Review
    Sergio Diez Alvarez, Antoni Fellas, Derek Santos, Dean Sculley, Katie Wynne, Shamasunder Acharya, Pooshan Navathe, Xavier Girones, Andrea Coda
    JMIR Diabetes.2023; 8: e42389.     CrossRef
  • User Retention and Engagement in the Digital-Based Diabetes Education and Self-Management for Ongoing and Newly Diagnosed (myDESMOND) Program: Descriptive Longitudinal Study
    Mary M Barker, Radhika Chauhan, Melanie J Davies, Christopher Brough, Alison Northern, Bernie Stribling, Sally Schreder, Kamlesh Khunti, Michelle Hadjiconstantinou
    JMIR Diabetes.2023; 8: e44943.     CrossRef
  • New Digital Health Technologies for Insulin Initiation and Optimization for People With Type 2 Diabetes
    David Kerr, Steven Edelman, Giacomo Vespasiani, Kamlesh Khunti
    Endocrine Practice.2022; 28(8): 811.     CrossRef
  • Effects of Patient-Driven Lifestyle Modification Using Intermittently Scanned Continuous Glucose Monitoring in Patients With Type 2 Diabetes: Results From the Randomized Open-label PDF Study
    Hun Jee Choe, Eun-Jung Rhee, Jong Chul Won, Kyong Soo Park, Won-Young Lee, Young Min Cho
    Diabetes Care.2022; 45(10): 2224.     CrossRef
  • Assessing the Acceptability and Effectiveness of Mobile-Based Physical Activity Interventions for Midlife Women During Menopause: Systematic Review of the Literature
    Ghada AlSwayied, Haoyue Guo, Tasmin Rookes, Rachael Frost, Fiona L Hamilton
    JMIR mHealth and uHealth.2022; 10(12): e40271.     CrossRef
  • Application of the National Institute for Health and Care Excellence Evidence Standards Framework for Digital Health Technologies in Assessing Mobile-Delivered Technologies for the Self-Management of Type 2 Diabetes Mellitus: Scoping Review
    Jessica R Forsyth, Hannah Chase, Nia W Roberts, Laura C Armitage, Andrew J Farmer
    JMIR Diabetes.2021; 6(1): e23687.     CrossRef
  • Mobile Healthcare System Provided by Primary Care Physicians Improves Quality of Diabetes Care
    Tae Jung Oh, Jie-Eun Lee, Seok Kim, Sooyoung Yoo, Hak Chul Jang
    CardioMetabolic Syndrome Journal.2021; 1(1): 88.     CrossRef
  • Self-Care IoT Platform for Diabetic Mellitus
    Jai-Chang Park, Seongbeom Kim, Je-Hoon Lee
    Applied Sciences.2021; 11(5): 2006.     CrossRef
  • Diabetes clinic reinvented: will technology change the future of diabetes care?
    Marwa Al-Badri, Osama Hamdy
    Therapeutic Advances in Endocrinology and Metabolism.2021; 12: 204201882199536.     CrossRef
  • Analysis of Effectiveness and Psychological Techniques Implemented in mHealth Solutions for Middle-Aged and Elderly Adults with Type 2 Diabetes: A Narrative Review of the Literature
    Julia Vázquez-de Sebastián, Andreea Ciudin, Carmina Castellano-Tejedor
    Journal of Clinical Medicine.2021; 10(12): 2701.     CrossRef
  • Therapeutic Exercise Platform for Type-2 Diabetic Mellitus
    Je-Hoon Lee, Jai-Chang Park, Seong-Beom Kim
    Electronics.2021; 10(15): 1820.     CrossRef
  • Accuracy comparison study of new smartphone-based semen analyzer versus laboratory sperm quality analyzer
    Min Jung Park, Mi Young Lim, Hyun Jun Park, Nam Cheol Park
    Investigative and Clinical Urology.2021; 62(6): 672.     CrossRef
  • User Retention and Engagement With a Mobile App Intervention to Support Self-Management in Australians With Type 1 or Type 2 Diabetes (My Care Hub): Mixed Methods Study
    Mary D Adu, Usman H Malabu, Aduli EO Malau-Aduli, Aaron Drovandi, Bunmi S Malau-Aduli
    JMIR mHealth and uHealth.2020; 8(6): e17802.     CrossRef
  • The role of telehealth counselling with mobile self-monitoring on blood pressure reduction among overseas Koreans with high blood pressure in Vietnam
    Hyang Yuol Lee, Ju Young Kim, Ki Young Na, Hwa Yeon Park, Jinah Han, Yuliya Pak, Bola Nam, Chae Hyun Pae, Jisun Lee, Tae Ho Lim, Donghun Lee
    Journal of Telemedicine and Telecare.2019; 25(4): 241.     CrossRef
  • The Effect of a Smartphone-Based, Patient-Centered Diabetes Care System in Patients With Type 2 Diabetes: A Randomized, Controlled Trial for 24 Weeks
    Eun Ky Kim, Soo Heon Kwak, Hye Seung Jung, Bo Kyung Koo, Min Kyong Moon, Soo Lim, Hak Chul Jang, Kyong Soo Park, Young Min Cho
    Diabetes Care.2019; 42(1): 3.     CrossRef
  • Patient-Driven Diabetes Care of the Future in the Technology Era
    Sahar Ashrafzadeh, Osama Hamdy
    Cell Metabolism.2019; 29(3): 564.     CrossRef
  • Peripartum Management of Gestational Diabetes Using a Digital Health Care Service: A Pilot, Randomized Controlled Study
    Ji-Hee Sung, Da Young Lee, Kyoung Pil Min, Cheol-Young Park
    Clinical Therapeutics.2019; 41(11): 2426.     CrossRef
  • The Effects of Dietary Mobile Apps on Nutritional Outcomes in Adults with Chronic Diseases: A Systematic Review and Meta-Analysis
    Cosette Fakih El Khoury, Mirey Karavetian, Ruud J.G. Halfens, Rik Crutzen, Lama Khoja, Jos M.G.A. Schols
    Journal of the Academy of Nutrition and Dietetics.2019; 119(4): 626.     CrossRef
  • Diabetes Mellitus m-Health Applications: A Systematic Review of Features and Fundamentals
    Ericles Andrei Bellei, Daiana Biduski, Nathália Pinto Cechetti, Ana Carolina Bertoletti De Marchi
    Telemedicine and e-Health.2018; 24(11): 839.     CrossRef
  • Multifunctional Wearable System that Integrates Sweat‐Based Sensing and Vital‐Sign Monitoring to Estimate Pre‐/Post‐Exercise Glucose Levels
    Yongseok Joseph Hong, Hyunjae Lee, Jaemin Kim, Minha Lee, Hyung Jin Choi, Taeghwan Hyeon, Dae‐Hyeong Kim
    Advanced Functional Materials.2018;[Epub]     CrossRef
  • Smart Devices for Older Adults Managing Chronic Disease: A Scoping Review
    Ben YB Kim, Joon Lee
    JMIR mHealth and uHealth.2017; 5(5): e69.     CrossRef
  • Usability and clinical efficacy of diabetes mobile applications for adults with type 2 diabetes: A systematic review
    Helen Fu, Siobhan K. McMahon, Cynthia R. Gross, Terrence J. Adam, Jean F. Wyman
    Diabetes Research and Clinical Practice.2017; 131: 70.     CrossRef
  • Novel device for male infertility screening with single-ball lens microscope and smartphone
    Yoshitomo Kobori, Peter Pfanner, Gail S. Prins, Craig Niederberger
    Fertility and Sterility.2016; 106(3): 574.     CrossRef
Response: Normal Glucose Tolerance with a High 1-Hour Postload Plasma Glucose Level Exhibits Decreased β-Cell Function Similar to Impaired Glucose Tolerance (Diabetes Metab J 2015;39:147-53)
Tae Jung Oh, Se Hee Min, Chang Ho Ahn, Eun Ky Kim, Soo Heon Kwak, Hye Seung Jung, Kyong Soo Park, Young Min Cho
Diabetes Metab J. 2015;39(3):270-271.   Published online June 15, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.3.270
  • 3,389 View
  • 34 Download
  • 1 Crossref
PDFPubReader   

Citations

Citations to this article as recorded by  
  • Prevalence of Impaired Glucose Tolerance/Prediabetes in Local Adult Obese Population Presenting to A Tertiary Care Hospital
    Niktash Khan Hadi, Muhammad Salman Aamir, Tahir Ghaffar, Sulaiman Khan, Siraj ul Islam, Shafiullah Khan, Nizamuddin ., Muhammad Ali
    Pakistan Journal of Health Sciences.2023; : 84.     CrossRef
Normal Glucose Tolerance with a High 1-Hour Postload Plasma Glucose Level Exhibits Decreased β-Cell Function Similar to Impaired Glucose Tolerance
Tae Jung Oh, Se Hee Min, Chang Ho Ahn, Eun Ky Kim, Soo Heon Kwak, Hye Seung Jung, Kyong Soo Park, Young Min Cho
Diabetes Metab J. 2015;39(2):147-153.   Published online March 9, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.2.147
  • 4,542 View
  • 45 Download
  • 15 Web of Science
  • 13 Crossref
AbstractAbstract PDFPubReader   
Background

Subjects with normal glucose tolerance (NGT) who have a high 1-hour postload plasma glucose level (≥155 mg/dL; NGT 1 hour-high) have been shown to be at higher risk for type 2 diabetes than subjects with NGT 1 hour-low postload plasma glucose level (<155 mg/dL). We compared β-cell function in subjects with NGT 1 hour-high, NGT 1 hour-low, and impaired glucose tolerance (IGT).

Methods

We classified subjects into NGT 1 hour-low (n=149), NGT 1 hour-high (n=43), and IGT (n=52). The β-cell function was assessed based on insulinogenic index (IGI), oral disposition index (DI), and insulin secretion-sensitivity index-2 (ISSI-2).

Results

Insulin sensitivity was comparable between the subjects with NGT 1 hour-high and NGT 1 hour-low. The β-cell function with/without adjusting insulin sensitivity was significantly different among the three groups. The IGI (pmol/mmol) was 116.8±107.3 vs. 64.8±47.8 vs. 65.8±80.6 (P=0.141), oral DI was 3.5±4.2 vs. 1.8±1.4 vs. 1.8±3.1 (P<0.001), and ISSI-2 was 301.2±113.7 vs. 213.2±67.3 vs. 172.5±87.5 (P<0.001) in NGT 1 hour-low, NGT 1 hour-high, and IGT, respectively. Post hoc analyses revealed that oral DI and ISSI-2 were significantly different between NGT 1 hour-low and NGT 1 hour-high but comparable between NGT 1 hour-high and IGT.

Conclusion

Among Korean subjects with NGT, those who have a higher 1-hour postload glucose level have a compromised insulin-sensitivity adjusted β-cell function to a similar degree as IGT subjects.

Citations

Citations to this article as recorded by  
  • Triglyceride-glucose index predicts type 2 diabetes mellitus more effectively than oral glucose tolerance test-derived insulin sensitivity and secretion markers
    Min Jin Lee, Ji Hyun Bae, Ah Reum Khang, Dongwon Yi, Mi Sook Yun, Yang Ho Kang
    Diabetes Research and Clinical Practice.2024; 210: 111640.     CrossRef
  • Pancreatic fat accumulation is associated with decreased β‐cell function and deterioration in glucose tolerance in Korean adults
    Sang Ouk Chin, You‐Cheol Hwang, In‐Jin Cho, In‐Kyung Jeong, Kyu Jeung Ahn, Ho Yeon Chung
    Diabetes/Metabolism Research and Reviews.2021;[Epub]     CrossRef
  • Indirect insulin resistance detection: Current clinical trends and laboratory limitations
    Sylwia Placzkowska, Lilla Pawlik-Sobecka, Izabela Kokot, Agnieszka Piwowar
    Biomedical Papers.2019; 163(3): 187.     CrossRef
  • Clinical Implications of Using Post-Challenge Plasma Glucose Levels for Early Diagnosis of Type 2 Diabetes Mellitus in Older Individuals
    Kyong Hye Joung, Sang Hyun Ju, Ji Min Kim, Sorim Choung, Jae Min Lee, Kang Seo Park, Hyun Jin Kim, Bon Jeong Ku
    Diabetes & Metabolism Journal.2018; 42(2): 147.     CrossRef
  • The 1-h post-load plasma glucose as a novel biomarker for diagnosing dysglycemia
    Ram Jagannathan, Martin Buysschaert, José Luis Medina, Karin Katz, Sarah Musleh, Brenda Dorcely, Michael Bergman
    Acta Diabetologica.2018; 55(6): 519.     CrossRef
  • Elevated 1‐hour post‐load plasma glucose identifies obese youth with abnormal glucose metabolism and an unfavourable inflammatory profile
    Anastasios Serbis, Vasileios Giapros, Anna Challa, Nikolaos Chaliasos, Ekaterini Siomou
    Clinical Endocrinology.2018; 89(6): 757.     CrossRef
  • One‐hour postload plasma glucose concentration in people with normal glucose homeostasis predicts future diabetes mellitus: a 12‐year community‐based cohort study
    Tae Jung Oh, Soo Lim, Kyoung Min Kim, Jae Hoon Moon, Sung Hee Choi, Young Min Cho, Kyong Soo Park, HakChul Jang, Nam H. Cho
    Clinical Endocrinology.2017; 86(4): 513.     CrossRef
  • An elevated 1-h post- load glucose level during the oral glucose tolerance test detects prediabetes
    Martin Buysschaert, Michael Bergman, Donald Yanogo, Ram Jagannathan, Benoit Buysschaert, Vanessa Preumont
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2017; 11(2): 137.     CrossRef
  • Delayed insulin secretion response during an OGTT is associated with an increased risk for incidence of diabetes in NGT subjects
    Yun Sun, Junfeng Han, Ziwei Lin, Lige Song, Chen Wang, Weiping Jia
    Journal of Diabetes and its Complications.2016; 30(8): 1537.     CrossRef
  • Postprandial Hyperglycemia
    Tae Jung Oh
    The Journal of Korean Diabetes.2016; 17(4): 233.     CrossRef
  • β-Cell Function and Insulin Sensitivity in Normal Glucose-Tolerant Subjects Stratified by 1-Hour Plasma Glucose Values
    Miranda M. Priya, Anandakumar Amutha, T.A. Pramodkumar, Harish Ranjani, Saravanan Jebarani, Kuppan Gokulakrishnan, Rajendra Pradeepa, Ranjit Unnikrishnan, Ranjit Mohan Anjana, Viswanathan Mohan
    Diabetes Technology & Therapeutics.2016; 18(1): 29.     CrossRef
  • Response: Normal Glucose Tolerance with a High 1-Hour Postload Plasma Glucose Level Exhibits Decreased β-Cell Function Similar to Impaired Glucose Tolerance (Diabetes Metab J2015;39:147-53)
    Tae Jung Oh, Se Hee Min, Chang Ho Ahn, Eun Ky Kim, Soo Heon Kwak, Hye Seung Jung, Kyong Soo Park, Young Min Cho
    Diabetes & Metabolism Journal.2015; 39(3): 270.     CrossRef
  • Letter: Normal Glucose Tolerance with a High 1-Hour Postload Plasma Glucose Level Exhibits Decreased β-Cell Function Similar to Impaired Glucose Tolerance (Diabetes Metab J2015;39:147-53)
    Hee Kyung Kim
    Diabetes & Metabolism Journal.2015; 39(3): 268.     CrossRef
Prevalence and Clinical Characteristics of Recently Diagnosed Type 2 Diabetes Patients with Positive Anti-Glutamic Acid Decarboxylase Antibody
Yul Hwangbo, Jin Taek Kim, Eun Ky Kim, Ah Reum Khang, Tae Jung Oh, Hak Chul Jang, Kyong Soo Park, Seong Yeon Kim, Hong Kyu Lee, Young Min Cho
Diabetes Metab J. 2012;36(2):136-143.   Published online April 17, 2012
DOI: https://doi.org/10.4093/dmj.2012.36.2.136
  • 4,846 View
  • 44 Download
  • 16 Crossref
AbstractAbstract PDFPubReader   
Background

Latent autoimmune diabetes in adults (LADA) refers to a specific type of diabetes characterized by adult onset, presence of islet auto-antibodies, insulin independence at the time of diagnosis, and rapid decline in β-cell function. The prevalence of LADA among patients with type 2 diabetes varies from 2% to 20% according to the study population. Since most studies on the prevalence of LADA performed in Korea were conducted in patients who had been tested for anti-glutamic acid decarboxylase antibody (GADAb), a selection bias could not be excluded. In this study, we examined the prevalence and clinical characteristics of LADA among adult patients recently diagnosed with type 2 diabetes.

Methods

We included 462 patients who were diagnosed with type 2 diabetes within 5 years from the time this study was performed. We measured GADAb, fasting insulin level, fasting C-peptide level, fasting plasma glucose level, HbA1c, and serum lipid profiles and collected data on clinical characteristics.

Results

The prevalence of LADA was 4.3% (20/462) among adult patients with newly diagnosed type 2 diabetes. Compared with the GADAb-negative patients, the GADAb-positive patients had lower fasting C-peptide levels (1.2±0.8 ng/mL vs. 2.0±1.2 ng/mL, P=0.004). Other metabolic features were not significantly different between the two groups.

Conclusion

The prevalence of LADA is 4.3% among Korean adult patients with recently diagnosed type 2 diabetes. The Korean LADA patients exhibited decreased insulin secretory capacity as reflected by lower C-peptide levels.

Citations

Citations to this article as recorded by  
  • Utility of Fasting C-Peptide for the Diagnostic Differentiation of Patients with Type 1, Type 2 Diabetes, MODY, and LADA
    Ricardo Alemán-Contreras, Rita A. Gómez-Díaz, Maura E. Noyola-García, Rafael Mondragón-González, Niels Wacher, Aldo Ferreira-Hermosillo
    Life.2024; 14(5): 550.     CrossRef
  • The worldwide prevalence of latent autoimmune diabetes of adults among adult-onset diabetic individuals: a systematic review and meta-analysis
    Deepika Ramu, Selvaraj Ramaswamy, Suresh Rao, Solomon F. D. Paul
    Endocrine.2023; 82(1): 28.     CrossRef
  • Investigation of serum level relationship anti-glutamic acid decarboxylase antibody and inflammatory cytokines (IL1-β, IL-6) with vitamins D in type 2 diabetes
    Vahid Pouresmaeil, Sarmad Mashayekhi, Mohammad Sarafraz Yazdi
    Journal of Diabetes & Metabolic Disorders.2022; 21(1): 181.     CrossRef
  • Recent information on test utilization and intraindividual change in anti-glutamic acid decarboxylase antibody in Korea: a retrospective study
    Rihwa Choi, Wonseo Park, Gayoung Chun, Jiwon Lee, Sang Gon Lee, Eun Hee Lee
    BMJ Open Diabetes Research & Care.2022; 10(3): e002739.     CrossRef
  • Prevalence and factors associated with latent autoimmune diabetes in adults (LADA): a cross-sectional study
    Anselmo M. Manisha, Aminiel R. Shangali, Sayoki G. Mfinanga, Erasto V. Mbugi
    BMC Endocrine Disorders.2022;[Epub]     CrossRef
  • Latent Autoimmune Diabetes in Adults (LADA) and its Metabolic Characteristics among Yemeni Type 2 Diabetes Mellitus Patients
    Dhekra Al-Zubairi, Molham AL-Habori, Riyadh Saif-Ali
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2021; Volume 14: 4223.     CrossRef
  • Therapeutic approaches for latent autoimmune diabetes in adults: One size does not fit all
    Theocharis Koufakis, Niki Katsiki, Pantelis Zebekakis, George Dimitriadis, Kalliopi Kotsa
    Journal of Diabetes.2020; 12(2): 110.     CrossRef
  • Long‐term effects on glycaemic control and β‐cell preservation of early intensive treatment in patients with newly diagnosed type 2 diabetes: A multicentre randomized trial
    Suk Chon, Sang Youl Rhee, Kyu Jeung Ahn, Sei Hyun Baik, Yongsoo Park, Moon Suk Nam, Kwan Woo Lee, Soon Jib Yoo, Gwanpyo Koh, Dae Ho Lee, Young Seol Kim, Jeong‐Taek Woo
    Diabetes, Obesity and Metabolism.2018; 20(5): 1121.     CrossRef
  • A Global Perspective of Latent Autoimmune Diabetes in Adults
    Rajashree Mishra, Kenyaita M. Hodge, Diana L. Cousminer, Richard D. Leslie, Struan F.A. Grant
    Trends in Endocrinology & Metabolism.2018; 29(9): 638.     CrossRef
  • The prevalence of latent autoimmune diabetes in adults and its correlates in patients with type 2 diabetes in Kerman, Iran [2011]
    Gozashti Mohammad Hossein, Shafiei Maryam, Esmaeilian Saeed, Najafipour Hamid, Mashrouteh Mahdieh
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2015; 9(2): 104.     CrossRef
  • Low prevalence of latent autoimmune diabetes in adults in northern India
    A. Sachan, G. Zaidi, R. P. Sahu, S. Agrawal, P. G. Colman, E. Bhatia
    Diabetic Medicine.2015; 32(6): 810.     CrossRef
  • Amelioration of Diabetes-induced Cognitive Deficits by GSK-3β Inhibition is Attributed to Modulation of Neurotransmitters and Neuroinflammation
    Ashok Kumar Datusalia, Shyam Sunder Sharma
    Molecular Neurobiology.2014; 50(2): 390.     CrossRef
  • Successful treatment of latent autoimmune diabetes in adults with Traditional Chinese Medicine: a case report
    Jiaxing Tian, Wenke Liu, Zhong Zhen, Xiaolin Tong
    Journal of Traditional Chinese Medicine.2013; 33(6): 766.     CrossRef
  • Clinical characteristics and insulin independence of Koreans with new‐onset type 2 diabetes presenting with diabetic ketoacidosis
    H. Seok, C. H. Jung, S. W. Kim, M. J. Lee, W. J. Lee, J. H. Kim, B‐W. Lee
    Diabetes/Metabolism Research and Reviews.2013; 29(6): 507.     CrossRef
  • A Case of Latent Autoimmune Diabetes in Adults Developed after Surgical Cure of Growth Hormone Secreting Pituitary Tumor
    Wonjin Kim, Jung Ho Kim, Youngsook Kim, Ji Hye Huh, Su Jin Lee, Mi Sung Park, Eun Yeong Choe, Jeong Kyung Park, Myung Won Lee, Jae Won Hong, Byung Wan Lee, Eun Seok Kang, Bong Soo Cha, Eun Jig Lee, Hyun Chul Lee
    Endocrinology and Metabolism.2012; 27(4): 318.     CrossRef
  • Latent Autoimmune Diabetes in Adults: Autoimmune Diabetes in Adults with Slowly Progressive β-cell Failure
    Hannah Seok, Byung Wan Lee
    Diabetes & Metabolism Journal.2012; 36(2): 116.     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal
Close layer