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HbA1c percentiles and the association between BMI, age, gender, puberty, and HbA1c levels in healthy German children and adolescents.

Pediatric diabetes

Hovestadt I, Kiess W, Lewien C, Willenberg A, Poulain T, Meigen C, Körner A, Vogel M.
PMID: 34877761
Pediatr Diabetes. 2021 Dec 08; doi: 10.1111/pedi.13297. Epub 2021 Dec 08.

OBJECTIVE: The measurement of glycated hemoglobin (HbA1c) represents one way to detect type 1 and 2 diabetes in children at an early stage. However, to date, variations in HbA1c levels are not fully understood, even in healthy children. With...

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Hovestadt I, Kiess W, Lewien C, et al. HbA1c percentiles and the association between BMI, age, gender, puberty, and HbA1c levels in healthy German children and adolescents. Pediatr Diabetes. 2021;doi: 10.1111/pedi.13297.
Hovestadt, I., Kiess, W., Lewien, C., Willenberg, A., Poulain, T., Meigen, C., Körner, A., & Vogel, M. (2021). HbA1c percentiles and the association between BMI, age, gender, puberty, and HbA1c levels in healthy German children and adolescents. Pediatric diabetes, . https://doi.org/10.1111/pedi.13297
Hovestadt, Ina, et al. "HbA1c percentiles and the association between BMI, age, gender, puberty, and HbA1c levels in healthy German children and adolescents." Pediatric diabetes vol. (2021). doi: https://doi.org/10.1111/pedi.13297
Hovestadt I, Kiess W, Lewien C, Willenberg A, Poulain T, Meigen C, Körner A, Vogel M. HbA1c percentiles and the association between BMI, age, gender, puberty, and HbA1c levels in healthy German children and adolescents. Pediatr Diabetes. 2021 Dec 08; doi: 10.1111/pedi.13297. Epub 2021 Dec 08. PMID: 34877761.
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Personalized Consideration of Admission-Glucose Gap between Estimated Average and Initial Glucose Levels on Short-Term Stroke Outcome.

Journal of personalized medicine

Kim Y, Lee SH, Kim C, Kang MK, Yoon BW, Kim TJ, Bae JS, Lee JH.
PMID: 33670504
J Pers Med. 2021 Feb 18;11(2). doi: 10.3390/jpm11020139.

BACKGROUND: Poststroke hyperglycemia is associated with poor outcomes. Most prior studies used initial glucose as an indicator of poststroke hyperglycemia without considering glycemic control status at the time of stroke occurrence. We aimed to investigate the effect of an...

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Kim Y, Lee SH, Kim C, et al. Personalized Consideration of Admission-Glucose Gap between Estimated Average and Initial Glucose Levels on Short-Term Stroke Outcome. J Pers Med. 2021;11(2)doi: 10.3390/jpm11020139.
Kim, Y., Lee, S. H., Kim, C., Kang, M. K., Yoon, B. W., Kim, T. J., Bae, J. S., & Lee, J. H. (2021). Personalized Consideration of Admission-Glucose Gap between Estimated Average and Initial Glucose Levels on Short-Term Stroke Outcome. Journal of personalized medicine, 11(2), . https://doi.org/10.3390/jpm11020139
Kim, Yerim, et al. "Personalized Consideration of Admission-Glucose Gap between Estimated Average and Initial Glucose Levels on Short-Term Stroke Outcome." Journal of personalized medicine vol. 11,2 (2021). doi: https://doi.org/10.3390/jpm11020139
Kim Y, Lee SH, Kim C, Kang MK, Yoon BW, Kim TJ, Bae JS, Lee JH. Personalized Consideration of Admission-Glucose Gap between Estimated Average and Initial Glucose Levels on Short-Term Stroke Outcome. J Pers Med. 2021 Feb 18;11(2). doi: 10.3390/jpm11020139. PMID: 33670504; PMCID: PMC7922921.
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Digital Behavior Change Interventions for the Prevention and Management of Type 2 Diabetes: Systematic Market Analysis.

Journal of medical Internet research

Keller R, Hartmann S, Teepe GW, Lohse KM, Alattas A, Tudor Car L, Müller-Riemenschneider F, von Wangenheim F, Mair JL, Kowatsch T.
PMID: 34994693
J Med Internet Res. 2022 Jan 07;24(1):e33348. doi: 10.2196/33348.

BACKGROUND: Advancements in technology offer new opportunities for the prevention and management of type 2 diabetes. Venture capital companies have been investing in digital diabetes companies that offer digital behavior change interventions (DBCIs). However, little is known about the...

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Keller R, Hartmann S, Teepe GW, et al. Digital Behavior Change Interventions for the Prevention and Management of Type 2 Diabetes: Systematic Market Analysis. J Med Internet Res. 2022;24(1):e33348doi: 10.2196/33348.
Keller, R., Hartmann, S., Teepe, G. W., Lohse, K. M., Alattas, A., Tudor Car, L., Müller-Riemenschneider, F., von Wangenheim, F., Mair, J. L., & Kowatsch, T. (2022). Digital Behavior Change Interventions for the Prevention and Management of Type 2 Diabetes: Systematic Market Analysis. Journal of medical Internet research, 24(1), e33348. https://doi.org/10.2196/33348
Keller, Roman, et al. "Digital Behavior Change Interventions for the Prevention and Management of Type 2 Diabetes: Systematic Market Analysis." Journal of medical Internet research vol. 24,1 (2022): e33348. doi: https://doi.org/10.2196/33348
Keller R, Hartmann S, Teepe GW, Lohse KM, Alattas A, Tudor Car L, Müller-Riemenschneider F, von Wangenheim F, Mair JL, Kowatsch T. Digital Behavior Change Interventions for the Prevention and Management of Type 2 Diabetes: Systematic Market Analysis. J Med Internet Res. 2022 Jan 07;24(1):e33348. doi: 10.2196/33348. PMID: 34994693.
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Quality measure attainment with dapagliflozin plus metformin extended-release as initial combination therapy in patients with type 2 diabetes: a post hoc pooled analysis of two clinical studies.

Risk management and healthcare policy

Bell KF, Katz A, Sheehan JJ.
PMID: 27790048
Risk Manag Healthc Policy. 2016 Oct 14;9:231-241. doi: 10.2147/RMHP.S108586. eCollection 2016.

BACKGROUND: The use of quality measures attempts to improve safety and health outcomes and to reduce costs. In two Phase III trials in treatment-naive patients with type 2 diabetes, dapagliflozin 5 or 10 mg/d as initial combination therapy with...

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Bell KF, Katz A, Sheehan JJ. Quality measure attainment with dapagliflozin plus metformin extended-release as initial combination therapy in patients with type 2 diabetes: a post hoc pooled analysis of two clinical studies. Risk Manag Healthc Policy. 2016;9:231-241doi: 10.2147/RMHP.S108586.
Bell, K. F., Katz, A., & Sheehan, J. J. (2016). Quality measure attainment with dapagliflozin plus metformin extended-release as initial combination therapy in patients with type 2 diabetes: a post hoc pooled analysis of two clinical studies. Risk management and healthcare policy, 9231-241. https://doi.org/10.2147/RMHP.S108586
Bell, Kelly F, et al. "Quality measure attainment with dapagliflozin plus metformin extended-release as initial combination therapy in patients with type 2 diabetes: a post hoc pooled analysis of two clinical studies." Risk management and healthcare policy vol. 9 (2016): 231-241. doi: https://doi.org/10.2147/RMHP.S108586
Bell KF, Katz A, Sheehan JJ. Quality measure attainment with dapagliflozin plus metformin extended-release as initial combination therapy in patients with type 2 diabetes: a post hoc pooled analysis of two clinical studies. Risk Manag Healthc Policy. 2016 Oct 14;9:231-241. doi: 10.2147/RMHP.S108586. eCollection 2016. PMID: 27790048; PMCID: PMC5072521.
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Hemoglobin A1c Is a Predictor of New Insulin Dependence After Partial Pancreatectomy: A Multi-Institutional Analysis.

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract

Wiseman JT, Chakedis J, Beal EW, Paredes A, McElhany A, Fang A, Manilchuk A, Ellison C, Van Buren G, Pawlik TM, Schmidt CR, Fisher WE, Dillhoff M.
PMID: 33948858
J Gastrointest Surg. 2021 Dec;25(12):3119-3129. doi: 10.1007/s11605-021-05014-0. Epub 2021 May 04.

BACKGROUND: Pancreatic diseases have long been associated with impaired glucose control. This study sought to identify the incidence of new insulin-dependent diabetes mellitus (IDDM) after pancreatectomy and the predictive accuracy of hemoglobin A1c (HbA1c) or blood glucose.METHODS: Patients who...

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Wiseman JT, Chakedis J, Beal EW, et al. Hemoglobin A1c Is a Predictor of New Insulin Dependence After Partial Pancreatectomy: A Multi-Institutional Analysis. J Gastrointest Surg. 2021;25(12):3119-3129doi: 10.1007/s11605-021-05014-0.
Wiseman, J. T., Chakedis, J., Beal, E. W., Paredes, A., McElhany, A., Fang, A., Manilchuk, A., Ellison, C., Van Buren, G., Pawlik, T. M., Schmidt, C. R., Fisher, W. E., & Dillhoff, M. (2021). Hemoglobin A1c Is a Predictor of New Insulin Dependence After Partial Pancreatectomy: A Multi-Institutional Analysis. Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract, 25(12), 3119-3129. https://doi.org/10.1007/s11605-021-05014-0
Wiseman, Jason T, et al. "Hemoglobin A1c Is a Predictor of New Insulin Dependence After Partial Pancreatectomy: A Multi-Institutional Analysis." Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract vol. 25,12 (2021): 3119-3129. doi: https://doi.org/10.1007/s11605-021-05014-0
Wiseman JT, Chakedis J, Beal EW, Paredes A, McElhany A, Fang A, Manilchuk A, Ellison C, Van Buren G, Pawlik TM, Schmidt CR, Fisher WE, Dillhoff M. Hemoglobin A1c Is a Predictor of New Insulin Dependence After Partial Pancreatectomy: A Multi-Institutional Analysis. J Gastrointest Surg. 2021 Dec;25(12):3119-3129. doi: 10.1007/s11605-021-05014-0. Epub 2021 May 04. PMID: 33948858.
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Outcomes of a Digitally Delivered Low-Carbohydrate Type 2 Diabetes Self-Management Program: 1-Year Results of a Single-Arm Longitudinal Study.

JMIR diabetes

Saslow LR, Summers C, Aikens JE, Unwin DJ.
PMID: 30291081
JMIR Diabetes. 2018 Aug 03;3(3):e12. doi: 10.2196/diabetes.9333.

BACKGROUND: Type 2 diabetes mellitus has serious health consequences, including blindness, amputation, stroke, and dementia, and its annual global costs are more than US $800 billion. Although typically considered a progressive, nonreversible disease, some researchers and clinicians now argue...

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Saslow LR, Summers C, Aikens JE, et al. Outcomes of a Digitally Delivered Low-Carbohydrate Type 2 Diabetes Self-Management Program: 1-Year Results of a Single-Arm Longitudinal Study. JMIR Diabetes. 2018;3(3):e12doi: 10.2196/diabetes.9333.
Saslow, L. R., Summers, C., Aikens, J. E., & Unwin, D. J. (2018). Outcomes of a Digitally Delivered Low-Carbohydrate Type 2 Diabetes Self-Management Program: 1-Year Results of a Single-Arm Longitudinal Study. JMIR diabetes, 3(3), e12. https://doi.org/10.2196/diabetes.9333
Saslow, Laura R, et al. "Outcomes of a Digitally Delivered Low-Carbohydrate Type 2 Diabetes Self-Management Program: 1-Year Results of a Single-Arm Longitudinal Study." JMIR diabetes vol. 3,3 (2018): e12. doi: https://doi.org/10.2196/diabetes.9333
Saslow LR, Summers C, Aikens JE, Unwin DJ. Outcomes of a Digitally Delivered Low-Carbohydrate Type 2 Diabetes Self-Management Program: 1-Year Results of a Single-Arm Longitudinal Study. JMIR Diabetes. 2018 Aug 03;3(3):e12. doi: 10.2196/diabetes.9333. PMID: 30291081; PMCID: PMC6238840.
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Glycated Albumin Is a More Useful Glycation Index than HbA1c for Reflecting Renal Tubulopathy in Subjects with Early Diabetic Kidney Disease.

Diabetes & metabolism journal

Huh JH, Lee M, Park SY, Kim JH, Lee BW.
PMID: 30112873
Diabetes Metab J. 2018 May 02; Epub 2018 May 02.

BACKGROUND: The aim of this study was to investigate which glycemic parameters better reflect urinary N-acetyl-β-D-glucosaminidase (uNAG) abnormality, a marker for renal tubulopathy, in subjects with type 2 diabetes mellitus (T2DM) subjects with normoalbuminuria and a normal estimated glomerular...

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Huh JH, Lee M, Park SY, et al. Glycated Albumin Is a More Useful Glycation Index than HbA1c for Reflecting Renal Tubulopathy in Subjects with Early Diabetic Kidney Disease. Diabetes Metab J. 2018;
Huh, J. H., Lee, M., Park, S. Y., Kim, J. H., & Lee, B. W. (2018). Glycated Albumin Is a More Useful Glycation Index than HbA1c for Reflecting Renal Tubulopathy in Subjects with Early Diabetic Kidney Disease. Diabetes & metabolism journal, .
Huh, Ji Hye, et al. "Glycated Albumin Is a More Useful Glycation Index than HbA1c for Reflecting Renal Tubulopathy in Subjects with Early Diabetic Kidney Disease." Diabetes & metabolism journal vol. (2018).
Huh JH, Lee M, Park SY, Kim JH, Lee BW. Glycated Albumin Is a More Useful Glycation Index than HbA1c for Reflecting Renal Tubulopathy in Subjects with Early Diabetic Kidney Disease. Diabetes Metab J. 2018 May 02; Epub 2018 May 02. PMID: 30112873.
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[No title available]

SAGE open medicine

Nam SJ, Park SC, Lee SH, Choi DW, Lee SJ, Bang CS, Baik GH, Park JK.
PMID: 30815260
SAGE Open Med. 2019 Feb 19;7:2050312119832093. doi: 10.1177/2050312119832093. eCollection 2019.

OBJECTIVE: To compare METHODS: In this multicenter prospective observational study, RESULTS: Totally, 144 subjects were enrolled and 119 (85 non-diabetic and 34 diabetic patients) were finally analyzed. Eradication rate was 75.6% and there was no difference between diabetic patients...

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Nam SJ, Park SC, Lee SH, et al. . SAGE Open Med. 2019;7:2050312119832093doi: 10.1177/2050312119832093.
Nam, S. J., Park, S. C., Lee, S. H., Choi, D. W., Lee, S. J., Bang, C. S., Baik, G. H., & Park, J. K. (2019). . SAGE open medicine, 72050312119832093. https://doi.org/10.1177/2050312119832093
Nam, Seung-Joo, et al. "." SAGE open medicine vol. 7 (2019): 2050312119832093. doi: https://doi.org/10.1177/2050312119832093
Nam SJ, Park SC, Lee SH, Choi DW, Lee SJ, Bang CS, Baik GH, Park JK. . SAGE Open Med. 2019 Feb 19;7:2050312119832093. doi: 10.1177/2050312119832093. eCollection 2019. PMID: 30815260; PMCID: PMC6383094.
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Mobile Diabetes Intervention Study of Patient Engagement and Impact on Blood Glucose: Mixed Methods Analysis.

JMIR mHealth and uHealth

Quinn CC, Butler EC, Swasey KK, Shardell MD, Terrin MD, Barr EA, Gruber-Baldini AL.
PMID: 29396389
JMIR Mhealth Uhealth. 2018 Feb 02;6(2):e31. doi: 10.2196/mhealth.9265.

BACKGROUND: Successful treatment of diabetes includes patient self-management behaviors to prevent or delay complications and comorbid diseases. On the basis of findings from large clinical trials and professional guidelines, diabetes education programs and health providers prescribe daily regimens of...

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Quinn CC, Butler EC, Swasey KK, et al. Mobile Diabetes Intervention Study of Patient Engagement and Impact on Blood Glucose: Mixed Methods Analysis. JMIR Mhealth Uhealth. 2018;6(2):e31doi: 10.2196/mhealth.9265.
Quinn, C. C., Butler, E. C., Swasey, K. K., Shardell, M. D., Terrin, M. D., Barr, E. A., & Gruber-Baldini, A. L. (2018). Mobile Diabetes Intervention Study of Patient Engagement and Impact on Blood Glucose: Mixed Methods Analysis. JMIR mHealth and uHealth, 6(2), e31. https://doi.org/10.2196/mhealth.9265
Quinn, Charlene Connolly, et al. "Mobile Diabetes Intervention Study of Patient Engagement and Impact on Blood Glucose: Mixed Methods Analysis." JMIR mHealth and uHealth vol. 6,2 (2018): e31. doi: https://doi.org/10.2196/mhealth.9265
Quinn CC, Butler EC, Swasey KK, Shardell MD, Terrin MD, Barr EA, Gruber-Baldini AL. Mobile Diabetes Intervention Study of Patient Engagement and Impact on Blood Glucose: Mixed Methods Analysis. JMIR Mhealth Uhealth. 2018 Feb 02;6(2):e31. doi: 10.2196/mhealth.9265. PMID: 29396389; PMCID: PMC5816260.
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Bedtime-to-Morning Glucose Difference and iGlarLixi in Type 2 Diabetes: Post Hoc Analysis of LixiLan-L.

Diabetes therapy : research, treatment and education of diabetes and related disorders

Zisman A, Dex T, Roberts M, Saremi A, Chao J, Aroda VR.
PMID: 30218434
Diabetes Ther. 2018 Oct;9(5):2155-2162. doi: 10.1007/s13300-018-0507-0. Epub 2018 Sep 14.

INTRODUCTION: A difference of ≥ 50-55 mg/dL between bedtime and morning glucose (BeAM) values in patients with type 2 diabetes (T2D) on basal insulin is an indicator of poor postprandial glucose control. This analysis compared the effect of treatment...

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Zisman A, Dex T, Roberts M, et al. Bedtime-to-Morning Glucose Difference and iGlarLixi in Type 2 Diabetes: Post Hoc Analysis of LixiLan-L. Diabetes Ther. 2018;9(5):2155-2162doi: 10.1007/s13300-018-0507-0.
Zisman, A., Dex, T., Roberts, M., Saremi, A., Chao, J., & Aroda, V. R. (2018). Bedtime-to-Morning Glucose Difference and iGlarLixi in Type 2 Diabetes: Post Hoc Analysis of LixiLan-L. Diabetes therapy : research, treatment and education of diabetes and related disorders, 9(5), 2155-2162. https://doi.org/10.1007/s13300-018-0507-0
Zisman, Ariel, et al. "Bedtime-to-Morning Glucose Difference and iGlarLixi in Type 2 Diabetes: Post Hoc Analysis of LixiLan-L." Diabetes therapy : research, treatment and education of diabetes and related disorders vol. 9,5 (2018): 2155-2162. doi: https://doi.org/10.1007/s13300-018-0507-0
Zisman A, Dex T, Roberts M, Saremi A, Chao J, Aroda VR. Bedtime-to-Morning Glucose Difference and iGlarLixi in Type 2 Diabetes: Post Hoc Analysis of LixiLan-L. Diabetes Ther. 2018 Oct;9(5):2155-2162. doi: 10.1007/s13300-018-0507-0. Epub 2018 Sep 14. PMID: 30218434; PMCID: PMC6167304.
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Mistakes, misunderstandings and controversies in diabetes: A review and personal account.

Journal of diabetes investigation

Mogensen CE.
PMID: 24843414
J Diabetes Investig. 2010 Jun 01;1(3):97-100. doi: 10.1111/j.2040-1124.2010.00012.x.

A number of controversies in diabetes have had too little attention. I discuss the following issues: (i) drug therapy; (ii) genetics; (iii) antihypertensive treatment in patients with normoalbuminuria and with abnormal albuminuria; (iv) insulin analogs; (v) cancer in diabetes;...

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Mogensen CE. Mistakes, misunderstandings and controversies in diabetes: A review and personal account. J Diabetes Investig. 2010;1(3):97-100doi: 10.1111/j.2040-1124.2010.00012.x.
Mogensen, C. E. (2010). Mistakes, misunderstandings and controversies in diabetes: A review and personal account. Journal of diabetes investigation, 1(3), 97-100. https://doi.org/10.1111/j.2040-1124.2010.00012.x
Mogensen, Carl Erik. "Mistakes, misunderstandings and controversies in diabetes: A review and personal account." Journal of diabetes investigation vol. 1,3 (2010): 97-100. doi: https://doi.org/10.1111/j.2040-1124.2010.00012.x
Mogensen CE. Mistakes, misunderstandings and controversies in diabetes: A review and personal account. J Diabetes Investig. 2010 Jun 01;1(3):97-100. doi: 10.1111/j.2040-1124.2010.00012.x. PMID: 24843414; PMCID: PMC4008022.
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Effect of Fenugreek Use on Fasting Blood Glucose, Glycosylated Hemoglobin, Body Mass Index, Waist Circumference, Blood Pressure and Quality of Life in Patients with Type 2 Diabetes Mellitus: A Randomized, Double-Blinded, Placebo-Controlled Clinical Trials.

Galen medical journal

Hassani SS, Fallahi Arezodar F, Esmaeili SS, Gholami-Fesharaki M.
PMID: 34466512
Galen Med J. 2019 Mar 30;8:e1432. doi: 10.31661/gmj.v8i0.1432. eCollection 2019.

BACKGROUND: Diabetes mellitus is a major cause of death globally. It causes multiple problems in various organs and incurs heavy costs for patients and the community health system.The present study was conducted to evaluate the effect of fenugreek intake...

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Hassani SS, Fallahi Arezodar F, Esmaeili SS, et al. Effect of Fenugreek Use on Fasting Blood Glucose, Glycosylated Hemoglobin, Body Mass Index, Waist Circumference, Blood Pressure and Quality of Life in Patients with Type 2 Diabetes Mellitus: A Randomized, Double-Blinded, Placebo-Controlled Clinical Trials. Galen Med J. 2019;8:e1432doi: 10.31661/gmj.v8i0.1432.
Hassani, S. S., Fallahi Arezodar, F., Esmaeili, S. S., & Gholami-Fesharaki, M. (2019). Effect of Fenugreek Use on Fasting Blood Glucose, Glycosylated Hemoglobin, Body Mass Index, Waist Circumference, Blood Pressure and Quality of Life in Patients with Type 2 Diabetes Mellitus: A Randomized, Double-Blinded, Placebo-Controlled Clinical Trials. Galen medical journal, 8e1432. https://doi.org/10.31661/gmj.v8i0.1432
Hassani, Seyyedeh Seddigheh, et al. "Effect of Fenugreek Use on Fasting Blood Glucose, Glycosylated Hemoglobin, Body Mass Index, Waist Circumference, Blood Pressure and Quality of Life in Patients with Type 2 Diabetes Mellitus: A Randomized, Double-Blinded, Placebo-Controlled Clinical Trials." Galen medical journal vol. 8 (2019): e1432. doi: https://doi.org/10.31661/gmj.v8i0.1432
Hassani SS, Fallahi Arezodar F, Esmaeili SS, Gholami-Fesharaki M. Effect of Fenugreek Use on Fasting Blood Glucose, Glycosylated Hemoglobin, Body Mass Index, Waist Circumference, Blood Pressure and Quality of Life in Patients with Type 2 Diabetes Mellitus: A Randomized, Double-Blinded, Placebo-Controlled Clinical Trials. Galen Med J. 2019 Mar 30;8:e1432. doi: 10.31661/gmj.v8i0.1432. eCollection 2019. PMID: 34466512; PMCID: PMC8344183.
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