- Obesity and Metabolic Syndrome
- The Association between Z-Score of Log-Transformed A Body Shape Index and Cardiovascular Disease in Korea
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Wankyo Chung, Jung Hwan Park, Hye Soo Chung, Jae Myung Yu, Shinje Moon, Dong Sun Kim
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Diabetes Metab J. 2019;43(5):675-682. Published online April 26, 2019
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DOI: https://doi.org/10.4093/dmj.2018.0169
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- Background
In order to overcome the limitations of body mass index (BMI) and waist circumference (WC), the z-score of the log-transformed A Body Shape Index (LBSIZ) has recently been introduced. In this study, we analyzed the relationship between the LBSIZ and cardiovascular disease (CVD) in a Korean representative sample. MethodsData were collected from the Korea National Health and Nutrition Examination VI to V. The association between CVD and obesity indices was analyzed using a receiver operating characteristic curve. The cut-off value for the LBSIZ was estimated using the Youden index, and the odds ratio (OR) for CVD was determined via multivariate logistic regression analysis. ORs according to the LBSIZ value were analyzed using restricted cubic spline regression plots. ResultsA total of 31,227 Korean healthy adults were analyzed. Area under the curve (AUC) of LBSIZ against CVD was 0.686 (95% confidence interval [CI], 0.671 to 0.702), which was significantly higher than the AUC of BMI (0.583; 95% CI, 0.567 to 0.599) or WC (0.646; 95% CI, 0.631 to 0.661) (P<0.001). Similar results were observed for stroke and coronary artery diseases. The cut-off value for the LBSIZ was 0.35 (sensitivity, 64.5%; specificity, 64%; OR, 1.29, 95% CI, 1.12 to 1.49). Under restricted cubic spline regression, LBSIZ demonstrated that OR started to increase past the median value. ConclusionThe findings of this study suggest that the LBSIZ might be more strongly associated with CVD risks compared to BMI or WC. These outcomes would be helpful for CVD risk assessment in clinical settings, especially the cut-off value of the LBSIZ suggested in this study.
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Citations
Citations to this article as recorded by  - Body Shape Index and Cardiovascular Risk in Individuals With Obesity
Nazlı Hacıağaoğlu, Can Öner, Hüseyin Çetin, Engin Ersin Şimşek
Cureus.2022;[Epub] CrossRef - Association between body shape index and risk of mortality in the United States
Heysoo Lee, Hye Soo Chung, Yoon Jung Kim, Min Kyu Choi, Yong Kyun Roh, Wankyo Chung, Jae Myung Yu, Chang-Myung Oh, Shinje Moon
Scientific Reports.2022;[Epub] CrossRef - Utility of the Z-score of log-transformed A Body Shape Index (LBSIZ) in the assessment for sarcopenic obesity and cardiovascular disease risk in the United States
Wankyo Chung, Jung Hwan Park, Hye Soo Chung, Jae Myung Yu, Dong Sun Kim, Shinje Moon
Scientific Reports.2019;[Epub] CrossRef
- Clinical Diabetes & Therapeutics
- Association between Serum Selenium Level and the Presence of Diabetes Mellitus: A Meta-Analysis of Observational Studies
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Juno Kim, Hye Soo Chung, Min-Kyu Choi, Yong Kyun Roh, Hyung Joon Yoo, Jung Hwan Park, Dong Sun Kim, Jae Myung Yu, Shinje Moon
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Diabetes Metab J. 2019;43(4):447-460. Published online January 2, 2019
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DOI: https://doi.org/10.4093/dmj.2018.0123
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7,282
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PDFSupplementary MaterialPubReader
- Background
Epidemiological studies have suggested an association between selenium (Se) and diabetes mellitus (DM). However, different studies have reported conflicting results. Therefore, we performed a comprehensive meta-analysis to clarify the impact of Se on DM. MethodsWe searched the PubMed database for studies on the association between Se and DM from inception to June 2018. ResultsTwenty articles evaluating 47,930 participants were included in the analysis. The meta-analysis found that high levels of Se were significantly associated with the presence of DM (pooled odds ratios [ORs], 1.88; 95% confidence interval [CI], 1.44 to 2.45). However, significant heterogeneity was found (I2=82%). Subgroup analyses were performed based on the Se measurement methods used in each study. A significant association was found between high Se levels and the presence of DM in the studies that used blood (OR, 2.17; 95% CI, 1.60 to 2.93; I2=77%), diet (OR, 1.61; 95% CI, 1.10 to 2.36; I2=0%), and urine (OR, 1.49; 95% CI, 1.02 to 2.17; I2=0%) as samples to estimate Se levels, but not in studies on nails (OR, 1.24; 95% CI, 0.52 to 2.98; I2=91%). Because of significant heterogeneity in the studies with blood, we conducted a sensitivity analysis and tested the publication bias. The results were consistent after adjustment based on the sensitivity analysis as well as the trim and fill analysis for publication bias. ConclusionThis meta-analysis demonstrates that high levels of Se are associated with the presence of DM. Further prospective and randomized controlled trials are warranted to elucidate the link better.
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Citations
Citations to this article as recorded by
- Obesity and Metabolic Syndrome
- Proportion and Characteristics of the Subjects with Low Muscle Mass and Abdominal Obesity among the Newly Diagnosed and Drug-Naïve Type 2 Diabetes Mellitus Patients
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Jung A Kim, Soon Young Hwang, Hye Soo Chung, Nam Hoon Kim, Ji A Seo, Sin Gon Kim, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo
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Diabetes Metab J. 2019;43(1):105-113. Published online September 28, 2018
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DOI: https://doi.org/10.4093/dmj.2018.0036
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- Background
Sarcopenic obesity (SO) is a serious public health concern, few studies have examined the clinical implications of SO in newly-diagnosed type 2 diabetes mellitus (T2DM) patients. We evaluated the prevalence of the newly diagnosed, drug-naïve T2DM patients with low muscle mass with abdominal obesity and its association with insulin resistance and other diabetic complications. MethodsWe classified 233 drug-naïve T2DM subjects into four groups according to abdominal obesity (waist circumference ≥90 cm in men and ≥85 cm in women) and low muscle mass status (appendicular skeletal muscle <7.0 kg/m2 for men and <5.4 kg/m2 for women). ResultsThe proportion of the subjects with low muscle mass and abdominal obesity among the newly diagnosed, drug-naïve T2DM patients was 8.2%. Homeostasis model assessment of insulin resistance (HOMA-IR) increased linearly according to body composition group from normal to abdominal obesity to both low muscle mass and abdominal obesity. The multiple logistic regression analysis indicated that subjects with low muscle mass and abdominal obesity (odds ratio [OR], 9.39; 95% confidence interval [CI], 2.41 to 36.56) showed a higher risk for insulin resistance, defined as HOMA-IR ≥3, than those with abdominal obesity (OR, 5.36; 95% CI, 2.46 to 11.69), even after adjusting for other covariates. However, there were no differences in lipid profiles, microalbuminuria, or various surrogate markers for atherosclerosis among the four groups. ConclusionSubjects with both low muscle mass and abdominal obesity had a higher risk of insulin resistance than those with low muscle mass or abdominal obesity only.
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Citations
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Motoya Sato, Yoshiaki Tamura, Yuji Murao, Fumino Yorikawa, Yuu Katsumata, So Watanabe, Shugo Zen, Remi Kodera, Kazuhito Oba, Kenji Toyoshima, Yuko Chiba, Atsushi Araki
Journal of Diabetes Investigation.2024; 15(10): 1510. CrossRef - The coexistence of low muscle mass and obesity evaluated by dual energy X‐ray absorptiometry, rather than low muscle mass or obesity alone, is associated with macrovascular but not microvascular complications in patients with type 2 diabetes mellitus
Han Li, Weijuan Su, Zeyu Zheng, Jia Li, Shunhua Wang, Zheng Chen, Yuxian Zhang, Bingkun Huang, Fuping Lyu, Fangfang Yan, Caoxin Huang, Mingzhu Lin, Xiulin Shi, Xuejun Li
Diabetes, Obesity and Metabolism.2024;[Epub] CrossRef - Clinical observation on acupuncture for 80 patients with abdominal obesity in Germany: based on the theory of unblocking and regulating the Belt Vessel
Yuanyuan Li, Hang Xiong, Shuhui Ma, Jingzhang Dai
Journal of Acupuncture and Tuina Science.2023; 21(2): 137. CrossRef - Waist circumference and end‐stage renal disease based on glycaemic status: National Health Insurance Service data 2009–2018
Yun Kyung Cho, Ji Hye Huh, Shinje Moon, Yoon Jung Kim, Yang‐Hyun Kim, Kyung‐do Han, Jun Goo Kang, Seong Jin Lee, Sung‐Hee Ihm
Journal of Cachexia, Sarcopenia and Muscle.2023; 14(1): 585. CrossRef - Incidence of sarcopenic obesity in older patients with diabetes and association between sarcopenic obesity and higher-level functional capacity: evaluation based on a consensus statement
Satoshi Ida, Ryutaro Kaneko, Kanako Imataka, Kaoru Okubo, Kentaro Azuma, Kazuya Murata
Endocrine Journal.2023; 70(6): 591. CrossRef - A Novel Anthropometric Parameter, Weight-Adjusted Waist Index Represents Sarcopenic Obesity in Newly Diagnosed Type 2 Diabetes Mellitus
Min Jeong Park, Soon Young Hwang, Nam Hoon Kim, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Hye Jin Yoo
Journal of Obesity & Metabolic Syndrome.2023; 32(2): 130. CrossRef - Prevalence of sarcopenic obesity in patients with diabetes and adverse outcomes: A systematic review and meta-analysis
Yuan-yuan Zhou, Jin-feng Wang, Qian Yao, Qiu-feng Jian, Zhi-peng Luo
Clinical Nutrition ESPEN.2023; 58: 128. CrossRef - The Correlation Between Leg Muscle Mass Index and Non-Alcoholic Fatty Liver Disease in Patients with Type 2 Diabetes Mellitus
Menggege Liu, Qing Zhang, Juan Liu, Huiling Bai, Ping Yang, Xinhua Ye, Xiaoqing Yuan
Diabetes, Metabolic Syndrome and Obesity.2023; Volume 16: 4169. CrossRef - Sarcopenic Obesity with Normal Body Size May Have Higher Insulin Resistance in Elderly Patients with Type 2 Diabetes Mellitus
Tingting Han, Ting Yuan, Xinyue Liang, Ningxin Chen, Jia Song, Xin Zhao, Yurong Weng, Yaomin Hu
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2022; Volume 15: 1197. CrossRef - Relationship between Visceral Adipose Index, Lipid Accumulation Product and Type 2 Diabetes Mellitus
停停 陈
Advances in Clinical Medicine.2022; 12(04): 3350. CrossRef - Assessment of the relationship between prediabetes and low skeletal mass based on blood creatinine level
S. I. Ibragimova, G. O. Nuskabayeva, Z. N. Shalkharova, K. Zh. Sadykova, G. A. Junusbekova, M. Oran
Diabetes mellitus.2022; 25(3): 226. CrossRef - Changes in body composition and low blood urea nitrogen level related to an increase in the prevalence of fatty liver over 20 years: A cross‐sectional study
Yasushi Imamura, Seiichi Mawatari, Kohei Oda, Kotaro Kumagai, Yasunari Hiramine, Akiko Saishoji, Atsuko Kakihara, Mai Nakahara, Manei Oku, Kaori Hosoyamada, Shuji Kanmura, Akihiro Moriuchi, Hironori Miyahara, Akio ido
Hepatology Research.2021; 51(5): 570. CrossRef - Body Composition and Diabetes
Hye Jin Yoo
The Journal of Korean Diabetes.2021; 22(4): 238. CrossRef - Reduced Skeletal Muscle Volume and Increased Skeletal Muscle Fat Deposition Characterize Diabetes in Individuals after Pancreatitis: A Magnetic Resonance Imaging Study
Andre E. Modesto, Juyeon Ko, Charlotte E. Stuart, Sakina H. Bharmal, Jaelim Cho, Maxim S. Petrov
Diseases.2020; 8(3): 25. CrossRef - Low alanine aminotransferase levels predict low muscle strength in older patients with diabetes: A nationwide cross‐sectional study in Korea
Seung Min Chung, Jun Sung Moon, Ji Sung Yoon, Kyu Chang Won, Hyoung Woo Lee
Geriatrics & Gerontology International.2020; 20(4): 271. CrossRef - Association between sarcopenic obesity and higher risk of type 2 diabetes in adults: A systematic review and meta-analysis
Dima Khadra, Leila Itani, Hana Tannir, Dima Kreidieh, Dana El Masri, Marwan El Ghoch
World Journal of Diabetes.2019; 10(5): 311. CrossRef
- Smaller Mean LDL Particle Size and Higher Proportion of Small Dense LDL in Korean Type 2 Diabetic Patients
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Sunghwan Suh, Hyung-Doo Park, Se Won Kim, Ji Cheol Bae, Alice Hyun-Kyung Tan, Hye Soo Chung, Kyu Yeon Hur, Jae Hyeon Kim, Kwang-Won Kim, Moon-Kyu Lee
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Diabetes Metab J. 2011;35(5):536-542. Published online October 31, 2011
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DOI: https://doi.org/10.4093/dmj.2011.35.5.536
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5,720
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- Background
Small dense low density lipoprotein (sdLDL) has recently emerged as an important risk factor of coronary heart disease. MethodsThe mean LDL particle size was measured in 203 patients with type 2 diabetes mellitus (T2DM) and 212 matched subjects without diabetes using polyacrylamide tube gel electrophoresis. Major vascular complications were defined as stroke, angiographically-documented coronary artery disease or a myocardial infarction. Peripheral vascular stenosis, carotid artery stenosis (≥50% in diameter) or carotid artery plaque were considered minor vascular complications. Overall vascular complications included both major and minor vascular complications. ResultsDiabetic patients had significantly smaller mean-LDL particle size (26.32 nm vs. 26.49 nm) and a higher percentage of sdLDL to total LDL compared to those of subjects without diabetes (21.39% vs. 6.34%). The independent predictors of sdLDL in this study were serum triglyceride level and body mass index (odds ratio [OR], 1.020 with P<0.001 and OR 1.152 with P<0.027, respectively). However, no significant correlations were found between sdLDL and major vascular complications (P=0.342), minor vascular complications (P=0.573) or overall vascular complications (P=0.262) in diabetic subjects. ConclusionDiabetic patients had a smaller mean-LDL particle size and higher proportion of sdLDL compared to those of subjects without diabetes. Obese diabetic patients with hypertriglyceridemia have an increased risk for atherogenic small dense LDL. However, we could not verify an association between LDL particle size and vascular complications in this study.
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Citations
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Sara Deza, Inmaculada Colina, Oscar Beloqui, José Ignacio Monreal, Estéfani Martínez-Chávez, Julia Maroto-García, Carmen Mugueta, Alvaro González, Nerea Varo
Clinica Chimica Acta.2024; 557: 117897. CrossRef - Nrf2 Signaling Pathway as a Key to Treatment for Diabetic Dyslipidemia and Atherosclerosis
Michelle Yi, Arvin John Toribio, Yusuf Muhammad Salem, Michael Alexander, Antoney Ferrey, Lourdes Swentek, Ekamol Tantisattamo, Hirohito Ichii
International Journal of Molecular Sciences.2024; 25(11): 5831. CrossRef - Association between measured or calculated small dense low‐density lipoprotein cholesterol and oxidized low‐density lipoprotein in subjects with or without type 2 diabetes mellitus
Hyun‐Ki Kim, Jinyoung Hong, Sunyoung Ahn, Woochang Lee, Sail Chun, Won‐Ki Min
Journal of Clinical Laboratory Analysis.2023;[Epub] CrossRef - The association of apolipoprotein in the risk of ST-elevation myocardial infarction in patients with documented coronary artery disease
Astuti Giantini, Nur Gifarani Pratiwi, Renan Sukmawan, Joedo Prihartono, Suzanna Immanuel, Merci Monica Pasaribu, Sri Suryo Adiyanti, Yusuf Bahasoan
International Journal of Cardiology Cardiovascular Risk and Prevention.2023; 18: 200194. CrossRef - Atherogenic Index of Plasma and Its Association with Risk Factors of Coronary Artery Disease and Nutrient Intake in Korean Adult Men: The 2013–2014 KNHANES
Hye Ran Shin, SuJin Song, Jin Ah Cho, Sun Yung Ly
Nutrients.2022; 14(5): 1071. CrossRef - The Atherogenic Index of Plasma: A Powerful and Reliable Predictor for Coronary Artery Disease in Patients With Type 2 Diabetes
Kuo Zhou, Zheng Qin, Jinfan Tian, Kongyong Cui, Yunfeng Yan, Shuzheng Lyu
Angiology.2021; 72(10): 934. CrossRef - Direct bilirubin is associated with low-density lipoprotein subfractions and particle size in overweight and centrally obese women
Y.-J. Kwon, H.-S. Lee, J.-W. Lee
Nutrition, Metabolism and Cardiovascular Diseases.2018; 28(10): 1021. CrossRef - Correlation between Cholesterol, Triglycerides, Calculated, and Measured Lipoproteins: Whether Calculated Small Density Lipoprotein Fraction Predicts Cardiovascular Risks
Sikandar Hayat Khan, Nadeem Fazal, Athar Abbas Gilani Shah, Syed Mohsin Manzoor, Naveed Asif, Aamir Ijaz, Najmusaqib Khan Niazi, Muhammad Yasir
Journal of Lipids.2017; 2017: 1. CrossRef - Effects of Small Dense LDL in Diabetic Nephropathy in Females with Type 2 Diabetes Mellitus
Seongyul Ryu, Youngwoo Kim, Mee Kyoung Kim, Hyuk-Sang Kwon, Ki-Hyun Baek, Ki-Ho Song, Kyung-Jin Yun
Journal of Lipid and Atherosclerosis.2016; 5(1): 11. CrossRef - Prepregnancy Adverse Lipid Profile and Subsequent Risk of Gestational Diabetes
Emily S. Han, Ronald M. Krauss, Fei Xu, Sneha B. Sridhar, Assiamira Ferrara, Charles P. Quesenberry, Monique M. Hedderson
The Journal of Clinical Endocrinology & Metabolism.2016; 101(7): 2721. CrossRef - Meta-analysis of Atherogenic Index of Plasma and other lipid parameters in relation to risk of type 2 diabetes mellitus
Xiao-Wei Zhu, Fei-Yan Deng, Shu-Feng Lei
Primary Care Diabetes.2015; 9(1): 60. CrossRef - Higher levels of small dense low‐density lipoprotein (LDL) are associated with cardiac autonomic neuropathy in patients with Type 2 diabetes
E.‐H. Jang, Y.‐M. Park, J. Hur, M.‐K. Kim, S.‐H. Ko, K.‐H. Baek, K.‐H. Song, K.‐W. Lee, H.‐S. Kwon
Diabetic Medicine.2013; 30(6): 694. CrossRef - Sleep Status and Low-Density Lipoprotein Particle Size in a General Japanese Female Population: The Mima Study
Kazuhiko Kotani, Kokoro Tsuzaki, Shinji Fujiwara, Naoki Sakane
Medical Principles and Practice.2013; 22(5): 510. CrossRef - Serum small-dense LDL abnormalities in chronic renal disease patients
M. Chu, A. Y. M. Wang, I. H. S. Chan, S. H. Chui, C. W. K. Lam
British Journal of Biomedical Science.2012; 69(3): 99. CrossRef - Small Dense Low-density Lipoprotein and Cardiovascular Disease
Sunghwan Suh, Moon-Kyu Lee
Journal of Lipid and Atherosclerosis.2012; 1(1): 1. CrossRef
- Efficacy of Sitagliptin When Added to Ongoing Therapy in Korean Subjects with Type 2 Diabetes Mellitus
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Hye Soo Chung, Moon-Kyu Lee
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Diabetes Metab J. 2011;35(4):411-417. Published online August 31, 2011
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DOI: https://doi.org/10.4093/dmj.2011.35.4.411
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- Background
To evaluate the clinical efficacy of sitagliptin for reducing plasma glucose levels in Korean subjects with type 2 diabetes mellitus during a 14-week treatment period. MethodsOur study design involved the addition of 100 mg sitagliptin once-daily to three ongoing combination therapy regimens and changing from glimepiride and metformin to sitagliptin and metformin. ResultsThe addition of sitagliptin 100 mg/day produced a statistically significant reduction in mean HbA1c level (mean HbA1c reduction of 0.99±0.85%, P<0.01). In the group taking a combination of sitagliptin and metformin (n=143, initial mean HbA1c level=7.48%), the reductions in HbA1c, 2-hour postprandial glucose, and fasting glucose levels were 0.72±0.76% (P<0.01), 47±65 mg/dL (P<0.01), and 15±44 mg/dL (P<0.01), respectively. In the group taking a combination of sitagliptin, glimepiride, and metformin (n=125, initial mean HbA1c level=8.42%), the reductions in HbA1c, 2-hour postprandial glucose, and fasting glucose levels were 1.09±0.86% (P<0.01), 62±64 mg/dL (P<0.01), and 31±45 mg/dL (P<0.01), respectively. In the group taking a combination of sitagliptin, glimepiride, metformin, and α-glucosidase inhibitor (n=63, initial mean HbA1c level=9.19%), the reductions in HbA1c, 2-hour postprandial glucose, and fasting glucose levels were 1.27±0.70% (P<0.01), 72±65 mg/dL (P<0.01), and 35±51 mg/dL (P<0.01), respectively. In the group that had previous hypoglycemic events and that changed from glimepiride to sitagliptin, HbA1c level did not change but fasting glucose increased significantly (14±29 mg/dL, P<0.01). ConclusionSitagliptin combination therapy for 14 weeks significantly improved glycemic control and was well-tolerated in Korean subjects with type 2 diabetes mellitus.
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Asima Khan, Muhammad Adnan Kanpurwala, Riasat Ali Khan, Najum F. Mahmudi, Verumal Lohano, Shakeel Ahmed, Majid Khan, Fareed Uddin, Syed Mohammad Ali, Maliha Saghir, Syed Hussain Baqar Abidi, Jahanzeb Kamal
BMC Endocrine Disorders.2023;[Epub] CrossRef - Efficacy and safety of sitagliptin/metformin fixed‐dose combination compared with glimepiride in patients with type 2 diabetes: A multicenter randomized double‐blind study
Sang Soo Kim, In Joo Kim, Kwang Jae Lee, Jeong Hyun Park, Young Il Kim, Young Sil Lee, Sung Chang Chung, Sang Jin Lee
Journal of Diabetes.2017; 9(4): 412. CrossRef - Optimal Candidates for the Switch from Glimepiride to Sitagliptin to Reduce Hypoglycemia in Patients with Type 2 Diabetes Mellitus
Hyun Min Kim, Jung Soo Lim, Byung-Wan Lee, Eun-Seok Kang, Hyun Chul Lee, Bong-Soo Cha
Endocrinology and Metabolism.2015; 30(1): 84. CrossRef - Effectiveness and safety of glimepiride and iDPP4, associated with metformin in second line pharmacotherapy of type 2 diabetes mellitus: systematic review and meta‐analysis
JM. Amate, T. Lopez‐Cuadrado, N. Almendro, C. Bouza, Z. Saz‐Parkinson, R. Rivas‐Ruiz, J. Gonzalez‐Canudas
International Journal of Clinical Practice.2015; 69(3): 292. CrossRef - Clinical Characteristics and Metabolic Predictors of Rapid Responders to Dipeptidyl Peptidase-4 Inhibitor as an Add-on Therapy to Sulfonylurea and Metformin
Ye An Kim, Won Sang Yoo, Eun Shil Hong, Eu Jeong Ku, Kyeong Seon Park, Soo Lim, Young Min Cho, Kyong Soo Park, Hak Chul Jang, Sung Hee Choi
Diabetes & Metabolism Journal.2015; 39(6): 489. CrossRef - Sitagliptin for Elderly Patients Aged 75 Years or Older with Inadequately Controlled Type 2 Diabetes with Common Antidiabetes Treatments
Katsunori Suzuki, Yurie Mistuma, Takaaki Sato, Mariko Hatta
International Journal of Clinical Medicine.2015; 06(09): 672. CrossRef - Short‐ and long‐term effect of sitagliptin after near normalization of glycemic control with insulin in poorly controlled Japanese type 2 diabetic patients
Keiko Fujisawa, Tetsuyuki Yasuda, Hideaki Kaneto, Naoto Katakami, Mayumi Tsuji, Fumiyo Kubo, Shugo Sasaki, Kazuyuki Miyashita, Toyoko Naka, Ryuuichi Kasami, Akio Kuroda, Munehide Matsuhisa, Iichiro Shimomura
Journal of Diabetes Investigation.2014; 5(5): 548. CrossRef - Efficacy and safety of vildagliptin, Saxagliptin or Sitagliptin as add-on therapy in Chinese patients with type 2 diabetes inadequately controlled with dual combination of traditional oral hypoglycemic agents
Chun-Jun Li, Xiao-Juan Liu, Lian Bai, Qian Yu, Qiu-Mei Zhang, Pei Yu, De-Min Yu
Diabetology & Metabolic Syndrome.2014;[Epub] CrossRef - Tolerability, effectiveness and predictive parameters for the therapeutic usefulness of exenatide in obese, Korean patients with type 2 diabetes
Sun Ok Song, Kwang Joon Kim, Byung‐Wan Lee, Eun Seok Kang, Bong Soo Cha, Hyun Chul Lee
Journal of Diabetes Investigation.2014; 5(5): 554. CrossRef - Efficacy of vildagliptin on glucose fluctuation in Japanese type 2 diabetic patients with ongoing sulfonylurea based oral glycemic agent therapy
Keiji Yoshioka, Haruhiko Isotani, Shin-ichiro Ohashi, Minoru Imamura
Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2013; 7(1): 32. CrossRef - Glimepiride Strongly Enhances the Glucose-Lowering Effect in Triple Oral Antidiabetes Therapy with Sitagliptin and Metformin for Japanese Patients with Type 2 Diabetes Mellitus
Keiko Arai, Hajime Maeda, Sin-ichiro Sirabe, Ritsuko Yamamoto, Mikio Yamauchi, Tetsuyuki Hirao, Setsuko Hirao, Koichi Hirao
Diabetes Technology & Therapeutics.2013; 15(4): 335. CrossRef - Efficacy of sitagliptin on blood glucose fluctuation in Japanese type 2 diabetic patients with basal-supported oral therapy
Mitsuyoshi Takahara, Toshihiko Shiraiwa, Hideaki Kaneto, Naoto Katakami, Taka-aki Matsuoka, Iichiro Shimomura
Endocrine Journal.2012; 59(12): 1131. CrossRef
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