FLuctuATion Reduction With inSULin and Glp-1 Added togetheR (FLAT-SUGAR)
FLAT-SUGAR
FLAT-SUGAR: FLuctuATion Reduction With inSULin and Glp-1 Added togetheR
1 other identifier
interventional
102
1 country
12
Brief Summary
Results of recent studies using standard long and short acting insulin therapy (Basal - Bolus or BBI) in type 2 diabetes mellitus (T2DM) have not shown benefits to lower risks for heart attacks, strokes, or eye, nerve and kidney problems. Some studies also show a long time between the start of treatment and signs of benefit. This has led to a review of current ways to normalize blood glucose control with basal bolus insulin and how to make blood glucose better. Improving blood sugar with insulin therapy usually causes weight gain, more high sugar levels after meals, and more low blood sugars. Early studies suggest that when people take long-acting insulin and metformin, they have fewer blood sugar extremes when they also take a new type of medicine called glucagon-like polypeptide-1 (GLP-1) agonist named exenatide (Byetta), instead of meal-time insulin. This means there might be a better way to treat Type 2 diabetes. Participants are asked to take part in an eight month study to find out if middle-aged and older people with Type 2 diabetes who have added risk factors for heart disease can even out their blood sugar levels. They will start on long-acting insulin, mealtime insulin, and metformin, if they are not already on these medications. Their kidney function tests must be normal and they must not be allergic to metformin. Then, after a 2 month run-in phase, they must be willing to be assigned by chance into one of two groups. This means that they will have a 50/50 chance (like flipping a coin) of being in either group. Half of them will be started on the new medicine known as Byetta rather than the meal-time insulin and the other half will remain on the meal-time insulin during the next 6 months (26 weeks) to see which group has more steady blood sugars. They will be asked to use a continuous blood sugar monitoring system called DexCom. A sensor is inserted under the skin in the same areas the insulin is injected. The DexCom can check their blood sugars 24 hours of the day and night and will be worn until 7 days of recordings are collected. In the same 7 day period, they will also be asked to wear a Holter or Telemetry monitor that will record their heart beats and rhythm which will be compared to the blood sugar readings. They will also use home glucose meters to check their glucose levels about 3 to 4 times a day. The study will take place at 12 centers in the United States and enroll about 120-130 people.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for phase_4 type-2-diabetes
Started Aug 2012
12 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 17, 2012
CompletedFirst Posted
Study publicly available on registry
February 2, 2012
CompletedStudy Start
First participant enrolled
August 1, 2012
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2014
CompletedStudy Completion
Last participant's last visit for all outcomes
July 1, 2014
CompletedResults Posted
Study results publicly available
December 29, 2023
CompletedDecember 29, 2023
December 1, 2023
1.9 years
January 17, 2012
April 21, 2017
December 22, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Coefficient of Variation at 26 Weeks Minus Coefficient of Variation at Baseline
The change in the coefficient of variation (CV) of continuous glucose readings, as assessed by Continuous Glucose Monitoring (CGM)
At baseline, 6 months of intervention
Secondary Outcomes (2)
Number of Participants With Hypoglycemia
26 weeks
Weight Change During Trial
Baseline vs 26 weeks
Other Outcomes (1)
HbA1C Levels
Baseline vs 26 weeks
Study Arms (2)
Insulin Glargine, metformin, exenatide
EXPERIMENTALApproximately 60 Type 2 diabetes mellitus (DM) participants will be instructed on an American Heart Association/American Diabetes Association (AHA/ADA) meal plan. Insulin Glargine, metformin and exenatide will used as a combination strategy to control individual glycosylated hemoglobin level (HbA1Cs) between 6.7 and 7.3% throughout the trial. The use of exenatide makes this the intervention arm
glargine, metformin, prandial insulin
ACTIVE COMPARATORApproximately 60 type 2 DM participants will be instructed in AHA/ADA meal plan. Insulin Glargine, metformin and one of 3 prandial insulins will be used as combination strategy to control individual HbA1Cs between 6.7 and 7.3%. Prandial Insulins (aspart, glulisine or lispro). The use of the short acting insulins make this the control arm
Interventions
Glargine-injectable, variable, once daily (QD), 6 months
Metformin-oral, up to 1000mg, twice daily (BID), 6 months
Aspart or glulisine or lispro
Injectable, 5mcg, twice daily (BID), 6 months
Eligibility Criteria
You may qualify if:
- T2DM for \>12 months defined according to current ADA criteria
- C-peptide \>0.5 ng/mL-after informed consent has been signed, samples will be drawn fasting and sent to a central lab
- Participants must be on insulin therapy. Diabetes, Blood Pressure \& Lipid therapy must be stable (in both dose and agent) for ≥3 months (dose of any 1 drug has not changed by more than 2-fold, \& new agents not been added within the previous 3 months)
- HbA1c 7.5-8.5% for enrollment
- Age at enrollment (screening): 40-75 years (inclusive) when there is a history of cardiovascular disease (defined in 'a'), or 55 to 75 years (inclusive) when there is not a history of cardiovascular disease but 2 or more risk factors (with or without treatment) are present (defined in 'b')
- a) Established cardiovascular disease defined as presence of one of the following: i. Previous myocardial infarction (MI). (most recent must be \> 3 months prior enrollment) ii. Previous stroke. (most recent must be \>3 months prior enrollment) iii. History of coronary revascularization (e.g., coronary artery bypass graft surgery, stent placement, percutaneous transluminal coronary angioplasty, or laser atherectomy)(most recent must be \> 3 months prior enrollment) iv. History of carotid or peripheral revascularization (e.g., carotid endarterectomy, lower extremity atherosclerotic disease atherectomy, repair of abdominal aortic aneurysm, femoral or popliteal bypass). (most recent must be \>3 months prior enrollment) v. Angina with either ischemic changes on a resting ECG, or ECG changes on a graded exercise test (GXT), or positive cardiac imaging study vi. Ankle/brachial index \<0.9 vii. LVH with strain by ECG or ECHO viii. \>50% stenosis of a coronary, carotid, renal or lower extremity artery. ix. Urine albumin to urine creatinine ratio of \>30 mg albumin/g creatinine in 2 samples, separated by at least 7 days, within past 12 months) \[Target of 50% of study cohort\] or b) Increased CVD risk defined as presence of 2 or more of the following: i. Untreated LDL-C \>130 mg/dL or on lipid treatment ii. Low HDL-C (\<40 mg/dL for men and \<50 mg/dL for women) iii. Untreated systolic BP \>140 mm Hg, or on antihypertensive treatment iv. Current cigarette smoking v. Body mass index 25-45 (Asian populations 23-45) kg/m2
- No expectation that participant will move out of clinical center area during the next 8 months, unless move will be to an area served by another trial center
- Ability to speak \& read English
You may not qualify if:
- The presence of a physical disability, significant medical or psychiatric disorder; substance abuse or use of a medication that in the judgment of the investigator will affect the use of CGM, wearing of the sensors, Holter or Telemetry monitor, complex medication regimen, or completion of any aspect of the protocol
- Cannot have had any cardiovascular event or interventional procedure, (MI, Stroke or revascularization) or been hospitalized for unstable angina within the last 3 months
- Inability or unwillingness to discontinue use of acetaminophen products during CGM use
- Inability or unwillingness to discontinue use of all other diabetes agents other than insulin \& metformin during trial (including insulin pump participants who will need to convert to BBI)
- Intolerance of metformin dose \<500 mg/day
- Inability or unwillingness to perform blood glucose testing a minimum of 3 times/per day
- Creatinine level ≥1.5 for males or 1.4 for females
- ALT level ≥ 3 times upper limit of normal
- Current symptomatic heart failure, history of NYHA Class III or IV congestive heart failure at any time, or ejection fraction (by any method) \< 25%
- Inpatient psychiatric treatment in the past 6 months
- Currently participating in an intervention trial
- Chronic inflammatory diseases, such as collagen vascular diseases or inflammatory bowel disease
- History of pancreatitis
- BMI \>45kg/m2
- For females, pregnant or intending to become pregnant during the next 7 months
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Washingtonlead
- Eli Lilly and Companycollaborator
- Sanoficollaborator
- Astra Zeneca, Bristol-Myers Squibbcollaborator
- DexCom, Inc.collaborator
- Bayercollaborator
- Becton, Dickinson and Companycollaborator
- Medicompcollaborator
- University of Texascollaborator
- US Department of Veterans Affairscollaborator
- Biomedical Research Institute of New Mexicocollaborator
Study Sites (12)
So Calif. Permanente Medical Group
San Diego, California, 92109, United States
University of Miami
Miami, Florida, 33136, United States
Atlanta Diabetes Associates
Atlanta, Georgia, 30309, United States
Joslin Diabetes Center
Boston, Massachusetts, 02215, United States
International Diabetes Center
Minneapolis, Minnesota, 55416, United States
Washington University
St Louis, Missouri, 63110, United States
Kaledia Health of Western New York
Buffalo, New York, 14209, United States
Diabetes Care Center
Durham, North Carolina, 27713, United States
Oregon Health and Science University
Portland, Oregon, 97239, United States
University of Vermont
Colchester, Vermont, 05446, United States
University of Washington
Seattle, Washington, 98105, United States
Washington State University Spokane, College of Pharmacy Spokane WA 99202 USA
Spokane, Washington, 99202, United States
Related Publications (46)
Action to Control Cardiovascular Risk in Diabetes Study Group; Gerstein HC, Miller ME, Byington RP, Goff DC Jr, Bigger JT, Buse JB, Cushman WC, Genuth S, Ismail-Beigi F, Grimm RH Jr, Probstfield JL, Simons-Morton DG, Friedewald WT. Effects of intensive glucose lowering in type 2 diabetes. N Engl J Med. 2008 Jun 12;358(24):2545-59. doi: 10.1056/NEJMoa0802743. Epub 2008 Jun 6.
PMID: 18539917BACKGROUNDADVANCE Collaborative Group; Patel A, MacMahon S, Chalmers J, Neal B, Billot L, Woodward M, Marre M, Cooper M, Glasziou P, Grobbee D, Hamet P, Harrap S, Heller S, Liu L, Mancia G, Mogensen CE, Pan C, Poulter N, Rodgers A, Williams B, Bompoint S, de Galan BE, Joshi R, Travert F. Intensive blood glucose control and vascular outcomes in patients with type 2 diabetes. N Engl J Med. 2008 Jun 12;358(24):2560-72. doi: 10.1056/NEJMoa0802987. Epub 2008 Jun 6.
PMID: 18539916BACKGROUNDDuckworth W, Abraira C, Moritz T, Reda D, Emanuele N, Reaven PD, Zieve FJ, Marks J, Davis SN, Hayward R, Warren SR, Goldman S, McCarren M, Vitek ME, Henderson WG, Huang GD; VADT Investigators. Glucose control and vascular complications in veterans with type 2 diabetes. N Engl J Med. 2009 Jan 8;360(2):129-39. doi: 10.1056/NEJMoa0808431. Epub 2008 Dec 17.
PMID: 19092145BACKGROUNDDavi G, Ciabattoni G, Consoli A, Mezzetti A, Falco A, Santarone S, Pennese E, Vitacolonna E, Bucciarelli T, Costantini F, Capani F, Patrono C. In vivo formation of 8-iso-prostaglandin f2alpha and platelet activation in diabetes mellitus: effects of improved metabolic control and vitamin E supplementation. Circulation. 1999 Jan 19;99(2):224-9. doi: 10.1161/01.cir.99.2.224.
PMID: 9892587BACKGROUNDTannock LR, O'Brien KD, Knopp RH, Retzlaff B, Fish B, Wener MH, Kahn SE, Chait A. Cholesterol feeding increases C-reactive protein and serum amyloid A levels in lean insulin-sensitive subjects. Circulation. 2005 Jun 14;111(23):3058-62. doi: 10.1161/CIRCULATIONAHA.104.506188. Epub 2005 Jun 6.
PMID: 15939816BACKGROUNDFesta A, D'Agostino R Jr, Howard G, Mykkanen L, Tracy RP, Haffner SM. Chronic subclinical inflammation as part of the insulin resistance syndrome: the Insulin Resistance Atherosclerosis Study (IRAS). Circulation. 2000 Jul 4;102(1):42-7. doi: 10.1161/01.cir.102.1.42.
PMID: 10880413BACKGROUNDDandona P, Chaudhuri A, Ghanim H, Mohanty P. Insulin as an anti-inflammatory and antiatherogenic modulator. J Am Coll Cardiol. 2009 Feb 3;53(5 Suppl):S14-20. doi: 10.1016/j.jacc.2008.10.038.
PMID: 19179212BACKGROUNDDogne JM, Hanson J, Pratico D. Thromboxane, prostacyclin and isoprostanes: therapeutic targets in atherogenesis. Trends Pharmacol Sci. 2005 Dec;26(12):639-44. doi: 10.1016/j.tips.2005.10.001. Epub 2005 Oct 21.
PMID: 16243403BACKGROUNDBuscemi S, Verga S, Cottone S, Azzolina V, Buscemi B, Gioia D, Cerasola G. Glycaemic variability and inflammation in subjects with metabolic syndrome. Acta Diabetol. 2009 Mar;46(1):55-61. doi: 10.1007/s00592-008-0061-8. Epub 2008 Sep 26.
PMID: 18818862BACKGROUNDMonnier L, Mas E, Ginet C, Michel F, Villon L, Cristol JP, Colette C. Activation of oxidative stress by acute glucose fluctuations compared with sustained chronic hyperglycemia in patients with type 2 diabetes. JAMA. 2006 Apr 12;295(14):1681-7. doi: 10.1001/jama.295.14.1681.
PMID: 16609090BACKGROUNDCeriello A, Esposito K, Piconi L, Ihnat MA, Thorpe JE, Testa R, Boemi M, Giugliano D. Oscillating glucose is more deleterious to endothelial function and oxidative stress than mean glucose in normal and type 2 diabetic patients. Diabetes. 2008 May;57(5):1349-54. doi: 10.2337/db08-0063. Epub 2008 Feb 25.
PMID: 18299315BACKGROUNDEsposito K, Ciotola M, Carleo D, Schisano B, Sardelli L, Di Tommaso D, Misso L, Saccomanno F, Ceriello A, Giugliano D. Post-meal glucose peaks at home associate with carotid intima-media thickness in type 2 diabetes. J Clin Endocrinol Metab. 2008 Apr;93(4):1345-50. doi: 10.1210/jc.2007-2000. Epub 2008 Jan 15.
PMID: 18198229BACKGROUNDEsposito K, Giugliano D, Nappo F, Marfella R; Campanian Postprandial Hyperglycemia Study Group. Regression of carotid atherosclerosis by control of postprandial hyperglycemia in type 2 diabetes mellitus. Circulation. 2004 Jul 13;110(2):214-9. doi: 10.1161/01.CIR.0000134501.57864.66. Epub 2004 Jun 14.
PMID: 15197140BACKGROUNDStehouwer CD, Gall MA, Twisk JW, Knudsen E, Emeis JJ, Parving HH. Increased urinary albumin excretion, endothelial dysfunction, and chronic low-grade inflammation in type 2 diabetes: progressive, interrelated, and independently associated with risk of death. Diabetes. 2002 Apr;51(4):1157-65. doi: 10.2337/diabetes.51.4.1157.
PMID: 11916939BACKGROUNDShikano M, Sobajima H, Yoshikawa H, Toba T, Kushimoto H, Katsumata H, Tomita M, Kawashima S. Usefulness of a highly sensitive urinary and serum IL-6 assay in patients with diabetic nephropathy. Nephron. 2000 May;85(1):81-5. doi: 10.1159/000045634.
PMID: 10773760BACKGROUNDKDOQI. KDOQI Clinical Practice Guidelines and Clinical Practice Recommendations for Diabetes and Chronic Kidney Disease. Am J Kidney Dis. 2007 Feb;49(2 Suppl 2):S12-154. doi: 10.1053/j.ajkd.2006.12.005. No abstract available.
PMID: 17276798BACKGROUNDDinneen SF, Gerstein HC. The association of microalbuminuria and mortality in non-insulin-dependent diabetes mellitus. A systematic overview of the literature. Arch Intern Med. 1997 Jul 14;157(13):1413-8.
PMID: 9224218BACKGROUNDGerstein HC, Mann JF, Yi Q, Zinman B, Dinneen SF, Hoogwerf B, Halle JP, Young J, Rashkow A, Joyce C, Nawaz S, Yusuf S; HOPE Study Investigators. Albuminuria and risk of cardiovascular events, death, and heart failure in diabetic and nondiabetic individuals. JAMA. 2001 Jul 25;286(4):421-6. doi: 10.1001/jama.286.4.421.
PMID: 11466120BACKGROUNDRuggenenti P, Remuzzi G. Time to abandon microalbuminuria? Kidney Int. 2006 Oct;70(7):1214-22. doi: 10.1038/sj.ki.5001729. Epub 2006 Jul 26.
PMID: 16871239BACKGROUNDCalle EE, Rodriguez C, Walker-Thurmond K, Thun MJ. Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. adults. N Engl J Med. 2003 Apr 24;348(17):1625-38. doi: 10.1056/NEJMoa021423.
PMID: 12711737BACKGROUNDRobinson RT, Harris ND, Ireland RH, Lee S, Newman C, Heller SR. Mechanisms of abnormal cardiac repolarization during insulin-induced hypoglycemia. Diabetes. 2003 Jun;52(6):1469-74. doi: 10.2337/diabetes.52.6.1469.
PMID: 12765959BACKGROUNDDesouza C, Salazar H, Cheong B, Murgo J, Fonseca V. Association of hypoglycemia and cardiac ischemia: a study based on continuous monitoring. Diabetes Care. 2003 May;26(5):1485-9. doi: 10.2337/diacare.26.5.1485.
PMID: 12716809BACKGROUNDGill GV, Woodward A, Casson IF, Weston PJ. Cardiac arrhythmia and nocturnal hypoglycaemia in type 1 diabetes--the 'dead in bed' syndrome revisited. Diabetologia. 2009 Jan;52(1):42-5. doi: 10.1007/s00125-008-1177-7. Epub 2008 Oct 30.
PMID: 18972096BACKGROUNDDungan KM, Buse JB, Largay J, Kelly MM, Button EA, Kato S, Wittlin S. 1,5-anhydroglucitol and postprandial hyperglycemia as measured by continuous glucose monitoring system in moderately controlled patients with diabetes. Diabetes Care. 2006 Jun;29(6):1214-9. doi: 10.2337/dc06-1910.
PMID: 16731998BACKGROUNDKadowaki T, Yamauchi T. Adiponectin and adiponectin receptors. Endocr Rev. 2005 May;26(3):439-51. doi: 10.1210/er.2005-0005.
PMID: 15897298BACKGROUNDSun J, Xu Y, Deng H, Sun S, Dai Z, Sun Y. Intermittent high glucose exacerbates the aberrant production of adiponectin and resistin through mitochondrial superoxide overproduction in adipocytes. J Mol Endocrinol. 2010 Mar;44(3):179-85. doi: 10.1677/JME-09-0088.
PMID: 20154025BACKGROUNDBergt C, Pennathur S, Fu X, Byun J, O'Brien K, McDonald TO, Singh P, Anantharamaiah GM, Chait A, Brunzell J, Geary RL, Oram JF, Heinecke JW. The myeloperoxidase product hypochlorous acid oxidizes HDL in the human artery wall and impairs ABCA1-dependent cholesterol transport. Proc Natl Acad Sci U S A. 2004 Aug 31;101(35):13032-7. doi: 10.1073/pnas.0405292101. Epub 2004 Aug 23.
PMID: 15326314BACKGROUNDShao B, Pennathur S, Pagani I, Oda MN, Witztum JL, Oram JF, Heinecke JW. Modifying apolipoprotein A-I by malondialdehyde, but not by an array of other reactive carbonyls, blocks cholesterol efflux by the ABCA1 pathway. J Biol Chem. 2010 Jun 11;285(24):18473-84. doi: 10.1074/jbc.M110.118182. Epub 2010 Apr 8.
PMID: 20378541BACKGROUNDVaisar T, Pennathur S, Green PS, Gharib SA, Hoofnagle AN, Cheung MC, Byun J, Vuletic S, Kassim S, Singh P, Chea H, Knopp RH, Brunzell J, Geary R, Chait A, Zhao XQ, Elkon K, Marcovina S, Ridker P, Oram JF, Heinecke JW. Shotgun proteomics implicates protease inhibition and complement activation in the antiinflammatory properties of HDL. J Clin Invest. 2007 Mar;117(3):746-56. doi: 10.1172/JCI26206.
PMID: 17332893BACKGROUNDGreen PS, Vaisar T, Pennathur S, Kulstad JJ, Moore AB, Marcovina S, Brunzell J, Knopp RH, Zhao XQ, Heinecke JW. Combined statin and niacin therapy remodels the high-density lipoprotein proteome. Circulation. 2008 Sep 16;118(12):1259-67. doi: 10.1161/CIRCULATIONAHA.108.770669. Epub 2008 Sep 2.
PMID: 18765395BACKGROUNDHoofnagle AN, Wu M, Gosmanova AK, Becker JO, Wijsman EM, Brunzell JD, Kahn SE, Knopp RH, Lyons TJ, Heinecke JW. Low clusterin levels in high-density lipoprotein associate with insulin resistance, obesity, and dyslipoproteinemia. Arterioscler Thromb Vasc Biol. 2010 Dec;30(12):2528-34. doi: 10.1161/ATVBAHA.110.212894. Epub 2010 Sep 16.
PMID: 20847305BACKGROUNDRosenfeld SI, Packman CH, Leddy JP. Inhibition of the lytic action of cell-bound terminal complement components by human high density lipoproteins and apoproteins. J Clin Invest. 1983 Apr;71(4):795-808. doi: 10.1172/jci110833.
PMID: 6403580BACKGROUNDImhof A, Charnay Y, Vallet PG, Aronow B, Kovari E, French LE, Bouras C, Giannakopoulos P. Sustained astrocytic clusterin expression improves remodeling after brain ischemia. Neurobiol Dis. 2006 May;22(2):274-83. doi: 10.1016/j.nbd.2005.11.009. Epub 2006 Feb 10.
PMID: 16473512BACKGROUNDRosenberg ME, Girton R, Finkel D, Chmielewski D, Barrie A 3rd, Witte DP, Zhu G, Bissler JJ, Harmony JA, Aronow BJ. Apolipoprotein J/clusterin prevents a progressive glomerulopathy of aging. Mol Cell Biol. 2002 Mar;22(6):1893-902. doi: 10.1128/MCB.22.6.1893-1902.2002.
PMID: 11865066BACKGROUNDJuvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group; Tamborlane WV, Beck RW, Bode BW, Buckingham B, Chase HP, Clemons R, Fiallo-Scharer R, Fox LA, Gilliam LK, Hirsch IB, Huang ES, Kollman C, Kowalski AJ, Laffel L, Lawrence JM, Lee J, Mauras N, O'Grady M, Ruedy KJ, Tansey M, Tsalikian E, Weinzimer S, Wilson DM, Wolpert H, Wysocki T, Xing D. Continuous glucose monitoring and intensive treatment of type 1 diabetes. N Engl J Med. 2008 Oct 2;359(14):1464-76. doi: 10.1056/NEJMoa0805017. Epub 2008 Sep 8.
PMID: 18779236BACKGROUNDService FJ, Molnar GD, Rosevear JW, Ackerman E, Gatewood LC, Taylor WF. Mean amplitude of glycemic excursions, a measure of diabetic instability. Diabetes. 1970 Sep;19(9):644-55. doi: 10.2337/diab.19.9.644. No abstract available.
PMID: 5469118BACKGROUNDClarke W, Kovatchev B. Statistical tools to analyze continuous glucose monitor data. Diabetes Technol Ther. 2009 Jun;11 Suppl 1(Suppl 1):S45-54. doi: 10.1089/dia.2008.0138.
PMID: 19469677BACKGROUNDKovatchev BP, Clarke WL, Breton M, Brayman K, McCall A. Quantifying temporal glucose variability in diabetes via continuous glucose monitoring: mathematical methods and clinical application. Diabetes Technol Ther. 2005 Dec;7(6):849-62. doi: 10.1089/dia.2005.7.849.
PMID: 16386091BACKGROUNDMcDonnell CM, Donath SM, Vidmar SI, Werther GA, Cameron FJ. A novel approach to continuous glucose analysis utilizing glycemic variation. Diabetes Technol Ther. 2005 Apr;7(2):253-63. doi: 10.1089/dia.2005.7.253.
PMID: 15857227BACKGROUNDHirsch IB. Blood glucose monitoring technology: translating data into practice. Endocr Pract. 2004 Jan-Feb;10(1):67-76. doi: 10.4158/EP.10.1.67.
PMID: 15251625BACKGROUNDRodbard D. New and improved methods to characterize glycemic variability using continuous glucose monitoring. Diabetes Technol Ther. 2009 Sep;11(9):551-65. doi: 10.1089/dia.2009.0015.
PMID: 19764834BACKGROUNDJuvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group; Beck RW, Hirsch IB, Laffel L, Tamborlane WV, Bode BW, Buckingham B, Chase P, Clemons R, Fiallo-Scharer R, Fox LA, Gilliam LK, Huang ES, Kollman C, Kowalski AJ, Lawrence JM, Lee J, Mauras N, O'Grady M, Ruedy KJ, Tansey M, Tsalikian E, Weinzimer SA, Wilson DM, Wolpert H, Wysocki T, Xing D. The effect of continuous glucose monitoring in well-controlled type 1 diabetes. Diabetes Care. 2009 Aug;32(8):1378-83. doi: 10.2337/dc09-0108. Epub 2009 May 8.
PMID: 19429875BACKGROUNDHirsch IB, Brownlee M. Beyond hemoglobin A1c--need for additional markers of risk for diabetic microvascular complications. JAMA. 2010 Jun 9;303(22):2291-2. doi: 10.1001/jama.2010.785. No abstract available.
PMID: 20530784BACKGROUNDBasevi V, Di Mario S, Morciano C, Nonino F, Magrini N. Comment on: American Diabetes Association. Standards of medical care in diabetes--2011. Diabetes Care 2011;34(Suppl. 1):S11-S61. Diabetes Care. 2011 May;34(5):e53; author reply e54. doi: 10.2337/dc11-0174. No abstract available.
PMID: 21525493BACKGROUNDFLAT-SUGAR Trial Investigators. Glucose Variability in a 26-Week Randomized Comparison of Mealtime Treatment With Rapid-Acting Insulin Versus GLP-1 Agonist in Participants With Type 2 Diabetes at High Cardiovascular Risk. Diabetes Care. 2016 Jun;39(6):973-81. doi: 10.2337/dc15-2782. Epub 2016 Apr 19.
PMID: 27208320RESULTFLAT-SUGAR Trial Investigators; Probstfield JL, Hirsch I, O'Brien K, Davis B, Bergenstal R, Kingry C, Khakpour D, Pressel S, Branch KR, Riddle M. Design of FLAT-SUGAR: Randomized Trial of Prandial Insulin Versus Prandial GLP-1 Receptor Agonist Together With Basal Insulin and Metformin for High-Risk Type 2 Diabetes. Diabetes Care. 2015 Aug;38(8):1558-66. doi: 10.2337/dc14-2689. Epub 2015 Jun 11.
PMID: 26068865DERIVED
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Results Point of Contact
- Title
- Jeffrey L Probstfield, MD
- Organization
- University of Washington
Study Officials
- PRINCIPAL INVESTIGATOR
Jeffrey L Probstfield, MD
Professor of Medicine, University of Washington
Publication Agreements
- PI is Sponsor Employee
- Yes
Study Design
- Study Type
- interventional
- Phase
- phase 4
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- PARTICIPANT, CARE PROVIDER
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
January 17, 2012
First Posted
February 2, 2012
Study Start
August 1, 2012
Primary Completion
July 1, 2014
Study Completion
July 1, 2014
Last Updated
December 29, 2023
Results First Posted
December 29, 2023
Record last verified: 2023-12
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF, CSR, ANALYTIC CODE
- Time Frame
- Starting 6 months after publication
- Access Criteria
- Written request to the investigators
Data available from the authors