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Jung Hyun Noh  (Noh JH) 5 Articles
Drug/Regimen
Comparison of Efficacy of Glimepiride, Alogliptin, and Alogliptin-Pioglitazone as the Initial Periods of Therapy in Patients with Poorly Controlled Type 2 Diabetes Mellitus: An Open-Label, Multicenter, Randomized, Controlled Study
Hae Jin Kim, In Kyung Jeong, Kyu Yeon Hur, Soo-Kyung Kim, Jung Hyun Noh, Sung Wan Chun, Eun Seok Kang, Eun-Jung Rhee, Sung Hee Choi
Diabetes Metab J. 2022;46(5):689-700.   Published online March 17, 2022
DOI: https://doi.org/10.4093/dmj.2021.0183
  • 6,813 View
  • 394 Download
  • 2 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
The choice of an optimal oral hypoglycemic agent in the initial treatment periods for type 2 diabetes mellitus (T2DM) patients remains difficult and deliberate. We compared the efficacy and safety of glimepiride (GLIM), alogliptin (ALO), and alogliptin-pioglitazone (ALO-PIO) in poorly controlled T2DM patients with drug-naïve or metformin failure.
Methods
In this three-arm, multicenter, open-label, randomized, controlled trial, poorly controlled T2DM patients were randomized to receive GLIM (n=35), ALO (n=31), or ALO-PIO (n=33) therapy for 24 weeks. The primary endpoint was change in the mean glycosylated hemoglobin (HbA1c) levels at week 24 from baseline. Secondary endpoints were changes in HbA1c level at week 12 from baseline, fasting plasma glucose (FPG) levels, lipid profiles at weeks 12 and 24, and parameters of glycemic variability, assessed by continuous glucose monitoring for 24 weeks.
Results
At weeks 12 and 24, the ALO-PIO group showed significant reduction in HbA1c levels compared to the ALO group (–0.96%±0.17% vs. –0.37%±0.17% at week 12; –1.13%±0.19% vs. –0.18%±0.2% at week 24). The ALO-PIO therapy caused greater reduction in FPG levels and significant increase in high-density lipoprotein cholesterol levels at weeks 12 and 24 than the ALO therapy. Compared to low-dose GLIM therapy, ALO-PIO therapy showed greater improvement in glycemic variability. The adverse events were similar among the three arms.
Conclusion
ALO-PIO combination therapy during the early period exerts better glycemic control than ALO monotherapy and excellency in glycemic variability than low-dose sulfonylurea therapy in uncontrolled, drug-naïve or metformin failed T2DM patients.

Citations

Citations to this article as recorded by  
  • A Comprehensive Review on Weight Loss Associated with Anti-Diabetic Medications
    Fatma Haddad, Ghadeer Dokmak, Maryam Bader, Rafik Karaman
    Life.2023; 13(4): 1012.     CrossRef
  • Role of Dipeptidyl Peptidase 4 Inhibitors in Antidiabetic Treatment
    Ruili Yin, Yongsong Xu, Xin Wang, Longyan Yang, Dong Zhao
    Molecules.2022; 27(10): 3055.     CrossRef
Clinical Care/Education
Factors Associated with Participation in Diabetes Education: The Korea National Health and Nutrition Examination Survey 2007 to 2009
Jung Min Kim, Jae Won Hong, Jung Hyun Noh, Dong-Jun Kim
Diabetes Metab J. 2016;40(6):447-453.   Published online September 20, 2016
DOI: https://doi.org/10.4093/dmj.2016.40.6.447
  • 4,758 View
  • 41 Download
  • 9 Web of Science
  • 10 Crossref
AbstractAbstract PDFPubReader   
Background

A recent study revealed that the participation rate in diabetes education among diabetic patients was only about 50% in Korea. We investigated the factors associated with participation in diabetes education.

Methods

The study included 1,255 patients (≥19 years old) diagnosed with diabetes drawn from the total Korea National Health and Nutrition Examination Survey 2007 to 2009 population comprising 30,705 individuals. We compared age, sex, and age- and sex-adjusted clinical characteristics in patients who had received diabetes education versus those who had not.

Results

Of the 1,255 patients, 19.8% (n=248) had received diabetes education. Patients in the group who received diabetes education were younger, diagnosed at an earlier age, had a longer diabetes duration and were more likely to be using insulin therapy compared with the group who did not receive diabetes education (P<0.001). The group who received diabetes education included fewer manual workers (P<0.001) but more college graduates (P=0.004) compared with the group who did not receive diabetes education. Logistic regression analysis revealed that longer diabetes duration increased the likelihood of receiving diabetes education (odds ratio [OR], 1.04; 95% confidence interval [CI], 1.01 to 1.06; P=0.004). Junior high school (OR, 0.47; 95% CI, 0.24 to 0.91; P=0.026) and elementary school education levels (OR, 0.34; 95% CI, 0.17 to 0.65; P=0.001) versus college graduation were inversely correlated with participation in diabetes self-management education. Non-insulin therapy reduced the likelihood of receiving diabetes education (OR, 0.37; 95% CI, 0.21 to 0.64; P<0.001).

Conclusion

Longer diabetes duration, insulin therapy, and higher education level were positively associated with the completion of diabetes education.

Citations

Citations to this article as recorded by  
  • Changes in insulin utilization in China from 2020 to 2022
    Chen Chen, Xingyu Liu, Jieqiong Zhang, Shuchen Hu, Jinwei Zhang, Xiaoyong Liu, Caijun Yang, Yu Fang
    Diabetes, Obesity and Metabolism.2024;[Epub]     CrossRef
  • Management Status of Patients with Type 2 Diabetes Mellitus at General Hospitals in Korea: A 5-Year Follow-Up Study
    Jin Hee Jung, Jung Hwa Lee, Hyang Mi Jang, Young Na, Hee Sun Choi, Yeon Hee Lee, Yang Gyo Kang, Na Rae Kim, Jeong Rim Lee, Bok Rye Song, Kang Hee Sim
    The Journal of Korean Diabetes.2022; 23(1): 64.     CrossRef
  • Team-based multicomponent care improved and sustained glycaemic control in obese people with type 2 diabetes (T2D) in a Diabetes Centre setting: A quality improvement program with quasi-experimental design
    Lee-Ling Lim, Eric S.H. Lau, Risa Ozaki, Tammy T.Y. So, Rebecca Y.M. Wong, Elaine Y.K. Chow, Ronald C.W. Ma, Andrea O.Y. Luk, Juliana C.N. Chan, Alice P.S. Kong
    Diabetes Research and Clinical Practice.2022; 194: 110138.     CrossRef
  • Socio-economic determinants of attendance at diabetes self-management education program: using Andersen’s behavioral model
    Javad Javan-Noughabi, Seyed Saeed Tabatabaee, Sajad Vahedi, Tahere Sharifi
    BMC Health Services Research.2022;[Epub]     CrossRef
  • Sociodemographic Factors Associated with Participation in Diabetes Education among Community-Dwelling Adults with Diabetes
    Young-Hoon Lee
    Yonsei Medical Journal.2020; 61(2): 169.     CrossRef
  • Influence of health education on clinical parameters in type 2 diabetic subjects with and without hypertension: A longitudinal, comparative analysis in routine primary care settings
    Xiu-Jing Hu, Hua-Feng Wu, Yu-Ting Li, Yi Wang, Hui Cheng, Jia-Ji Wang, Bedru H. Mohammed, Isabella Tan, Harry H.X. Wang
    Diabetes Research and Clinical Practice.2020; 170: 108539.     CrossRef
  • Disparities in Diabetes Education Program Use by Disability Status Among People with Diabetes: Findings from Behavioral Risk Factor Surveillance System 2015
    Junrong Shi, Yong Li
    American Journal of Health Education.2019; 50(1): 6.     CrossRef
  • Factors Influencing Preferences of Adults With Type 2 Diabetes for Diabetes Self-Management Education Interventions
    Lifeng Fan, Souraya Sidani
    Canadian Journal of Diabetes.2018; 42(6): 645.     CrossRef
  • Antihyperglycemic agent therapy for adult patients with type 2 diabetes mellitus 2017: a position statement of the Korean Diabetes Association
    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
    The Korean Journal of Internal Medicine.2017; 32(6): 947.     CrossRef
  • Antihyperglycemic Agent Therapy for Adult Patients with Type 2 Diabetes Mellitus 2017: A Position Statement of the Korean Diabetes Association
    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
Glycated Hemoglobin Value for Fasting Plasma Glucose of 126 mg/dL in Korean: The 2011 Korea National Health and Nutrition Examination Survey
Jung Min Kim, Jae Won Hong, Jong Chul Won, Jung Hyun Noh, Kyung Soo Ko, Byoung Doo Rhee, Dong-Jun Kim
Diabetes Metab J. 2014;38(6):480-483.   Published online December 15, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.6.480
  • 5,218 View
  • 38 Download
  • 10 Web of Science
  • 8 Crossref
AbstractAbstract PDFPubReader   

We aimed to estimate the cutoff value of glycated hemoglobin (HbA1c, A1c) for fasting plasma glucose (FPG) of 126 mg/dL in the Korean adult population, using the 2011 Korea National Health and Nutrition Examination Survey. A total of 5,421 participants without a history of diabetes and over 19 years of age were included in the analysis. A point-wise area under the receiver operating characteristic curve was used to estimate the optimal A1c cutoff value. A1c threshold of 6.1% produced the highest sum of sensitivity (85.2%) and specificity (90.5%) for FPG of 126 mg/dL (area under the curve, 0.941, P<0.001). A1c of 6.5% produced a sensitivity of 67.7% and specificity of 98.0% for FPG of 126 mg/dL. Considering A1c as one of three criteria for the diagnosis of diabetes and the specificity of an A1c cutoff of 6.5%, the current diagnostic criteria of A1c≥6.5% might be acceptable in the Korean adult population.

Citations

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  • 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
  • The Effect of an Empowerment Program on the Perceived Risk and Physical Health of Patients With Coronary Artery Disease
    Zeinab Ghasemzadeh Kuchi, Masoomeh Zakerimoghadam, Maryam Esmaeili, Babak Geraiely
    Holistic Nursing Practice.2020; 34(3): 163.     CrossRef
  • Morning Spot Urine Glucose-to-Creatinine Ratios Predict Overnight Urinary Glucose Excretion in Patients With Type 2 Diabetes
    So Ra Kim, Yong-ho Lee, Sang-Guk Lee, Sun Hee Lee, Eun Seok Kang, Bong-Soo Cha, Hyun Chul Lee, Jeong-Ho Kim, Byung-Wan Lee
    Annals of Laboratory Medicine.2017; 37(1): 9.     CrossRef
  • Glycosylated Hemoglobin Threshold for Predicting Diabetes and Prediabetes from the Fifth Korea National Health and Nutrition Examination Survey
    Sangmo Hong, Jun Goo Kang, Chul Sik Kim, Seong Jin Lee, Cheol-Young Park, Chang Beom Lee, Sung-Hee Ihm
    Diabetes & Metabolism Journal.2016; 40(2): 167.     CrossRef
  • Is an Oral Glucose Tolerance Test Still Valid for Diagnosing Diabetes Mellitus?
    Dong-Lim Kim, Sun-Doo Kim, Suk Kyeong Kim, Sooyoun Park, Kee-Ho Song
    Diabetes & Metabolism Journal.2016; 40(2): 118.     CrossRef
  • Comparison of the clinical characteristics of diabetes mellitus diagnosed using fasting plasma glucose and haemoglobin A1c: The 2011 Korea National Health and Nutrition Examination Survey
    Sangmo Hong, Jun Goo Kang, Chul Sik Kim, Seong Jin Lee, Chang Beom Lee, Sung-Hee Ihm
    Diabetes Research and Clinical Practice.2016; 113: 23.     CrossRef
  • Effects of diabetes definition on global surveillance of diabetes prevalence and diagnosis: a pooled analysis of 96 population-based studies with 331 288 participants
    G Danaei, S Fahimi, Y Lu, B Zhou, K Hajifathalian, M Di Cesare, WC Lo, B Reis-Santos, MJ Cowan, JE Shaw, J Bentham, JK Lin, H Bixby, D Magliano, P Bovet, JJ Miranda, YH Khang, GA Stevens, LM Riley, MK Ali, M Ezzati, ZA Abdeen, KA Kadir, M Abu-Rmeileh, B A
    The Lancet Diabetes & Endocrinology.2015; 3(8): 624.     CrossRef
  • The Optimal Cutoff Value of Glycated Hemoglobin for Detection of Diabetic Retinopathy
    Jung Min Kim, Dong-Jun Kim
    Diabetes & Metabolism Journal.2015; 39(1): 16.     CrossRef
Factors Associated for Mild Cognitive Impairment in Older Korean Adults with Type 2 Diabetes Mellitus
Yun Jeong Lee, Hye Mi Kang, Na Kyung Kim, Ju Yeon Yang, Jung Hyun Noh, Kyung Soo Ko, Byoung Doo Rhee, Dong-Jun Kim
Diabetes Metab J. 2014;38(2):150-157.   Published online April 18, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.2.150
  • 4,666 View
  • 38 Download
  • 22 Web of Science
  • 25 Crossref
AbstractAbstract PDFPubReader   
Background

The aim of this study was to identify factors associated with mild cognitive impairment (MCI) in older Korean adults with type 2 diabetes mellitus.

Methods

A total of 226 older (age ≥65 years) adults without a history of cerebrovascular disease or dementia participated in this study. Cognitive function was assessed with the Montreal Cognitive Assessment-Korean version (MoCA-K). A MoCA-K score <23 was defined as MCI.

Results

The prevalence of MCI was 32.7%. In a logistic regression analysis, age (≥74 years old vs. 65-68 years old; odds ratio [OR], 3.69; 95% confidence interval [CI], 1.55 to 8.82; P=0.003), educational background (college graduation vs. no school or elementary school graduation; OR, 0.16; 95% CI, 0.05 to 0.46; P=0.001), and systolic blood pressure (≥135 mm Hg vs. ≤120 mm Hg; OR, 3.25; 95% CI, 1.29 to 8.17; P=0.012) were associated with MCI.

Conclusion

More concentrated efforts focused on early detection and appropriate management of MCI may be required in older Korean adults with type 2 diabetes mellitus.

Citations

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  • Prediction model for mild cognitive impairment in patients with type 2 diabetes using the autonomic function test
    Heeyoung Kang, Juhyeon Kim, Minkyeong Kim, Jin Hyun Kim, Gu Seob Roh, Soo Kyoung Kim
    Neurological Sciences.2024; 45(8): 3757.     CrossRef
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    Piaopiao Li, Khalid Alkhuzam, Joshua Brown, Yichen Zhang, Tianze Jiao, Jingchuan Guo, Guillermo E. Umpierrez, K. M. Venkat Narayan, Ambar Kulshreshtha, Francisco J. Pasquel, Mohammed K. Ali, Hui Shao
    Diabetes, Obesity and Metabolism.2024; 26(9): 3723.     CrossRef
  • Exploration of the Potential and Mechanisms of Diabetic Cognitive Disorder Modulation by Daehwangmokdanpi-tang through a Network Pharmacological Approach
    Yebin Lim, Bitna Kweon, Dong-Uk Kim, Do-Eun Lee, Jungtae Leem, Dong-Gu Kim, Hyung Won Kang, Gi-Sang Bae
    Journal of Korean Medicine.2024; 45(2): 23.     CrossRef
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    Deepashree Gupta, Holly Wilhalme, Gabriela Sauder, Tannaz Moin
    Diabetes Research and Clinical Practice.2023; 196: 110184.     CrossRef
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    J. Bashir, I.U. Yarube
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    Ana Cristina Ravazzani de Almeida Faria, Joceline Franco Dall’Agnol, Aline Maciel Gouveia, Clara Inácio de Paiva, Victoria Chechetto Segalla, Cristina Pellegrino Baena
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    Federica Vinciguerra, Marco Graziano, Maria Hagnäs, Lucia Frittitta, Andrea Tumminia
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    N. M. Kyrychenko
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    Ju Young Kim, Young Sook Ku, Hyun Jeong Kim, Nga Thi Trinh, Woorim Kim, Bomi Jeong, Tae Young Heo, Myung Koo Lee, Kyung Eun Lee
    Diabetes Research and Clinical Practice.2019; 154: 116.     CrossRef
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    Xue Zhao, Qing Han, You Lv, Lin Sun, Xiaokun Gang, Guixia Wang
    Oncotarget.2018; 9(7): 7710.     CrossRef
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    Abdulkareem J. Yusuf, Olusegun Baiyewu, Adamu G. Bakari, Sani B. Garko, Mohammed E.‐B. Jibril, Aishatu M. Suleiman, Haruna M. Muktar, Micheal A. Amedu
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    Zainab I. Abba, Yannick Mboue-Djieka, Yacouba N. Mapoure, Cyrille Nkouonlack, Henry N. Luma, Simeon-Pierre Choukem
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    Dagnew Baye, Desalegn Wolide Amare, Mossie Andualem
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    Eun Young Lee, Su Jin Lee, Kyoung Min Kim, Young Mi Yun, Bo Mi Song, Jong Eun Kim, Hyeon Chang Kim, Yumie Rhee, Yoosik Youm, Chang Oh Kim
    Geriatrics & Gerontology International.2017; 17(7): 1069.     CrossRef
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    Shuangling Xiu, Zheng Zheng, Shaochen Guan, Jin Zhang, Jinghong Ma, Piu Chan
    Neuroscience Letters.2017; 637: 182.     CrossRef
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    Jiayong Liu, Yanhui Gao, Hongxu Liu, Jing Sun, Yang Liu, Junhua Wu, Dandan Li, Dianjun Sun
    International Journal of Hygiene and Environmental Health.2017; 220(2): 424.     CrossRef
  • An Update on Type 2 Diabetes Mellitus as a Risk Factor for Dementia
    Wei Li, Edgar Huang
    Journal of Alzheimer's Disease.2016; 53(2): 393.     CrossRef
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    Kyoung Hwa Ha, Dae Jung Kim
    The Korean Journal of Internal Medicine.2016; 31(5): 845.     CrossRef
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    Wei Li, Shannon L. Risacher, Edgar Huang, Andrew J. Saykin
    Neurology.2016; 87(6): 595.     CrossRef
  • Cardiovascular risk factors and cognitive decline in older people with type 2 diabetes
    Insa Feinkohl, Markéta Keller, Christine M. Robertson, Joanne R. Morling, Stela McLachlan, Brian M. Frier, Ian J. Deary, Mark W. J. Strachan, Jackie F. Price
    Diabetologia.2015; 58(7): 1637.     CrossRef
  • Association between obesity and depression in patients with diabetes mellitus type 2; a study protocol
    Eduardo De la Cruz-Cano, Carlos Alfonso Tovilla-Zarate, Emilio Reyes-Ramos, Thelma Beatriz Gonzalez-Castro, Isela Juarez-Castro, Maria Lilia López-Narváez, Ana Fresan
    F1000Research.2015; 4: 7.     CrossRef
Risk Factors Associated with Left Ventricular Diastolic Dysfunction in Type 2 Diabetic Patients without Hypertension
Jung Hyun Noh, Joon Hyung Doh, Sung Yun Lee, Tae Nyun Kim, Hyuk Lee, Hwa Young Song, Jeong Hyun Park, Kyung Soo Ko, Byoung Doo Rhee, Dong Jun Kim
Korean Diabetes J. 2010;34(1):40-46.   Published online February 28, 2010
DOI: https://doi.org/10.4093/kdj.2010.34.1.40
  • 5,257 View
  • 49 Download
  • 8 Crossref
AbstractAbstract PDFPubReader   
Background

Hypertension and age are recognized as important risk factors for left ventricular (LV) diastolic dysfunction. Some studies have shown that diabetes itself may also be an independent risk factor for LV diastolic dysfunction, although this is controversial. The aim of this study was to determine the factors associated with LV diastolic dysfunction in patients with type 2 diabetes in the absence of hypertension or ischemic heart disease (IHD).

Methods

Participants in this study consisted of 65 type 2 diabetes patients (M : F = 45 : 20; mean age 51 [26 to 76] years; mean body mass index [BMI] 25.0 ± 2.5 kg/m2) without hypertension, heart disease, or renal disease. Individuals with ischemic electrocardiographic changes were excluded. LV diastolic function was evaluated by Doppler echocardiographic studies.

Results

Fifteen patients (23.1%) showed LV diastolic dysfunction on Doppler echocardiographic studies. Patients with LV diastolic dysfunction were older than those without diastolic dysfunction (60.0 ± 2.5 vs. 50.5 ± 1.9 years; P < 0.01). After adjusting for age and sex, BMI was higher (26.6 ± 0.7 vs. 24.6 ± 0.3 kg/m2; P < 0.01) and diabetes duration was longer (9.65 ± 1.48 vs. 4.71 ± 0.78 years; P < 0.01) in patients with LV diastolic dysfunction than in those without diastolic dysfunction. There were no differences in sex, smoking, blood pressure, lipid profiles, hemoglobin A1C, fasting glucose, fasting insulin, or diabetic microvascular complications between the LV diastolic dysfunction group and the normal diastolic function group. After adjusting for age, sex, and BMI, diabetes duration was found to be independently associated with LV diastolic dysfunction (odds ratio 1.38; confidence interval 1.12 to 1.72; P = 0.003).

Conclusion

These results suggest that diabetes duration may be a risk factor for LV diastolic dysfunction in type 2 diabetic patients without hypertension or IHD.

Citations

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  • Reducing Cardiac Steatosis: Interventions to Improve Diastolic Function: A Narrative Review
    Kiyan Heshmat-Ghahdarijani, Roya Modaresi, Sobhan Pourmasjedi, Setayesh Sotoudehnia Korani, Ali Rezazadeh Roudkoli, Razieh Ziaei, Armita Farid, Mehrnaz Salehi, Afshin Heidari, Sina Neshat
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  • Risk Factors Associated with Left Ventricular Diastolic Dysfunction in Type 2 Diabetic Patients without Hypertension (Korean Diabetes J 2010;34:40-6)
    Dong-Lim Kim
    Korean Diabetes Journal.2010; 34(2): 135.     CrossRef

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