6. Glycemic Targets: Standards of Care in Diabetes—2023
Open accessAbstract
The American Diabetes Association (ADA) “Standards of Care in Diabetes” includes the ADA’s current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA’s clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
AI snapshot
Written from the paper’s full text.
TL;DR
This ADA *Standards of Care in Diabetes—2023* section provides evidence-based recommendations for assessing glycemic control and setting individualized glycemic targets in diabetes. It emphasizes A1C, CGM-derived time in range/GMI, hypoglycemia prevention, and balancing benefits against risks.
Key findings
- For many nonpregnant adults, the A1C goal is <7% (53 mmol/mol) without significant hypoglycemia; a parallel CGM goal is time in range >70%, time below range <4%, and time <54 mg/dL <1%. Less stringent A1C goals such as <8% (64 mmol/mol) may be appropriate for limited life expectancy or when harms outweigh benefits.
- DCCT intensive versus standard glycemic control (mean A1C about 7% vs. about 9%) reduced development and progression of microvascular complications by 50–76%; EDIC follow-up showed a 57% reduction in nonfatal MI, stroke, or cardiovascular death in the intensive arm. ACCORD was halted early for increased mortality in the intensive arm (1.41% vs. 1.14% per year; hazard ratio 1.22 [95% CI 1.01–1.46]).
- The ADAG study in 507 adults (83% non-Hispanic White) found an A1C–average glucose correlation of r = 0.92 based on 2,700 readings per A1C measurement; retrospective data suggest 70% time in range aligns with an A1C of 7%. CGM improved A1C by 0.3–0.6% in people with type 1 or type 2 diabetes above target.
- Hypoglycemia is classified as level 1: glucose <70 mg/dL (3.9 mmol/L) and ≥54 mg/dL (3.0 mmol/L); level 2: <54 mg/dL (3.0 mmol/L); level 3: a severe event requiring assistance. Treatment is approximately 15–20 g glucose, repeated after 15 minutes if BGM shows continued hypoglycemia.
Methods
- Design: ADA clinical practice recommendations, updated annually by the multidisciplinary Professional Practice Committee, with evidence-graded recommendations.
- Data: narrative synthesis of trials and studies including DCCT/EDIC, UKPDS, Kumamoto, ACCORD, ADVANCE, VADT, and ADAG, plus consensus reports; no new primary data collection.
- Analysis: expert consensus and evidence review; detailed evidence-grading methodology is referred to the Introduction and Methodology section.
Limitations
- Stated: A1C is an indirect measure affected by red blood cell turnover, hemoglobin variants, pregnancy, end-stage kidney disease, and other conditions, and it does not measure glycemic variability or hypoglycemia. CGM studies had differing entry A1C and endpoints and must be interpreted carefully; no study reported a decrease in level 3 hypoglycemia, and type 2 diabetes CGM evidence on hypoglycemic events is limited.
- Evident: This is a guideline/standards chapter rather than a primary systematic review; methods and evidence grading are deferred to another section, and the recommendations are intended to be individualized rather than applied rigidly.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 133 cited sources checked · 0 supported · 0 flagged
- Findingnone given§ Use of CGM Technology in Hypoglycemia Prevention
No study to date has reported a decrease in level 3 hypoglycemia.
“No study to date has reported a decrease in level 3 hypoglycemia.”
Quote in the paperNot a substantial claim - Premisecitation§ A1C Differences in Ethnic Populations and Children
Another genetic variant, X-linked glucose-6-phosphate dehydrogenase G202A, carried by 11% of African American individuals, was associated with a decrease in A1C of about 0.8% in hemizygous men and 0.7% in homozygous women compared with those without the trait.
“Another genetic variant, X-linked glucose-6-phosphate dehydrogenase G202A, carried by 11% of African American individuals, was associated with a decrease in A1C of about 0.8% in hemizygous men and 0.7% in homozygous women compared with those without the trait (20).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [20] Wheeler, 2017, Impact of common genetic determinants of hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: a transethnic genome-wide meta-analysis, PLoS Med source
Not checked in the free run.
- Premisecitation§ Correlation Between BGM and A1C
The ADAG study assessed the correlation between A1C and frequent BGM and CGM in 507 adults (83% non-Hispanic White) with type 1, type 2, and no diabetes.
“the international A1C-Derived Average Glucose (ADAG) study, which assessed the correlation between A1C and frequent BGM and CGM in 507 adults (83% non-Hispanic White) with type 1, type 2, and no diabetes (13)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13] Nathan, 2008, Translating the A1C assay into estimated average glucose values, Diabetes Care source
Not checked in the free run.
- Premisecitation§ Correlation Between BGM and A1C
In a report, mean glucose measured with CGM versus central laboratory-measured A1C in 387 participants in three randomized trials demonstrated that A1C may underestimate or overestimate mean glucose in individuals.
“In a report, mean glucose measured with CGM versus central laboratory-measured A1C in 387 participants in three randomized trials demonstrated that A1C may underestimate or overestimate mean glucose in individuals (12).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [12] Beck, 2017, The fallacy of average: how using HbA1C alone to assess glycemic control can be misleading, Diabetes Care source
Not checked in the free run.
- Interpretationreasoning§ A1C Differences in Ethnic Populations and Children
A1C and glucose parameters are essential for the optimal assessment of glycemic status.
“Taken together, A1C and glucose parameters are essential for the optimal assessment of glycemic status.”
Quote in the paperSubstantial claim
- Premisecitation§ A1C Limitations
Most A1C assays in use in the U.S. are accurate in individuals who are heterozygous for the most common hemoglobin variants.
“However, most assays in use in the U.S. are accurate in individuals who are heterozygous for the most common variants (ngsp. org/interf.asp).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites ngsp. org/interf.asp
Not checked in the free run.
- Premisecitation§ A1C Differences in Ethnic Populations and Children
Other studies have demonstrated higher A1C levels in African American participants than in White participants at a given mean glucose concentration.
“Other studies have also demonstrated higher A1C levels in African American participants than in White participants at a given mean glucose concentration (15,16).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [15] Selvin, 2016, Are there clinical implications of racial differences in HbA1c? A difference, to be a difference, must make a difference, Diabetes Care source
Not checked in the free run.
- cites [16] Bergenstal, 2017, Racial differences in the relationship of glucose concentrations and hemoglobin A1c levels, Ann Intern Med source
Not checked in the free run.
- Premisecitation§ Abstract
Individuals on a variety of insulin treatment plans can benefit from CGM with improved glucose control, decreased hypoglycemia, and enhanced self-efficacy.
“Individuals on a variety of insulin treatment plans can benefit from CGM with improved glucose control, decreased hypoglycemia, and enhanced self-efficacy (Section 7, “Diabetes Technology”) (1).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] Deshmukh, 2020, Effect of flash glucose monitoring on glycemic control, hypoglycemia, diabetes-related distress, and resource utilization in the Association of British Clinical Diabetologists (ABCD) nationwide audit, Diabetes Care source
Not checked in the free run.
- Premisecitation§ A1C Differences in Ethnic Populations and Children
A recent report in Afro-Caribbean individuals found lower A1C relative to glucose values.
“In contrast, a recent report in Afro-Caribbean individuals found lower A1C relative to glucose values (17).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [17] Khosla, 2021, HbA1c performance in african descent populations in the United States with normal glucose tolerance, prediabetes, or diabetes: a scoping review, Prev Chronic Dis source
Not checked in the free run.
- Premisecitation§ A1C Limitations
Conditions that affect red blood cell turnover may result in discrepancies between the A1C result and the patient's true mean glycemia.
“For example, conditions that affect red blood cell turnover (hemolytic and other anemias, glucose-6-phosphate dehydrogenase deficiency, recent blood transfusion, use of drugs that stimulate erythropoiesis, endstage kidney disease, and pregnancy) may result in discrepancies between the A1C result and the patient's true mean glycemia (11).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [11] Kidney Disease: Improving Global Outcomes (KDIGO) Diabetes Work Group, 2020, KDIGO 2020 clinical practice guideline for diabetes management in chronic kidney disease, Kidney Int source
Not checked in the free run.
- Premisecitation§ Abstract
A 14-day CGM assessment of TIR and GMI can serve as a surrogate for A1C for use in clinical management.
“A 14-day CGM assessment of TIR and GMI can serve as a surrogate for A1C for use in clinical management (5)(6)(7)(8)(9).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites (5)(6)(7)(8)(9)
Not checked in the free run.
- Premisecitation§ Abstract
The A1C test is the primary tool for assessing glycemic control.
“The test is the primary tool for assessing glycemic control and has a strong predictive value for diabetes complications (2)(3)(4).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites (2)(3)(4)
Not checked in the free run.
- Interpretationreasoning§ A1C Differences in Ethnic Populations and Children
Limitations in perfect alignment between glycemic measurements do not interfere with the usefulness of BGM/CGM for insulin dose adjustments.
“Limitations in perfect alignment between glycemic measurements do not interfere with the usefulness of BGM/CGM for insulin dose adjustments.”
Quote in the paperSubstantial claim - Premisecitation§ Abstract
A1C has a strong predictive value for diabetes complications.
“The test is the primary tool for assessing glycemic control and has a strong predictive value for diabetes complications (2)(3)(4).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites (2)(3)(4)
Not checked in the free run.
- Interpretationreasoning§ GLYCEMIC GOALS
On a population level, the greatest number of complications will be averted by taking patients from very poor control to fair/good control.
“Such analyses suggest that, on a population level, the greatest number of complications will be averted by taking patients from very poor control to fair/good control.”
Quote in the paperSubstantial claim - Premisecitation§ GLYCEMIC GOALS
Three landmark trials (ACCORD, ADVANCE, and VADT) showed that lower A1C levels were associated with reduced onset or progression of some microvascular complications.
“These trials showed that lower A1C levels were associated with reduced onset or progression of some microvascular complications (50)(51)(52).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites (50)(51)(52)
Not checked in the free run.
- Premisecitation§ 6.3 Standardized, single-page glucose
In recent years, CGM has become a standard method for glucose monitoring for most adults with type 1 diabetes.
“In recent years, CGM has become a standard method for glucose monitoring for most adults with type 1 diabetes (34).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [34] Holt, 2021, The management of type 1 diabetes in adults. A Consensus report by the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD), Diabetes Care source
Not checked in the free run.
- Premisecitation§ GLYCEMIC GOALS
Long-term follow-up of the UKPDS cohorts showed enduring effects of early glycemic control on most microvascular complications.
“Long-term follow-up of the UKPDS cohorts showed enduring effects of early glycemic control on most microvascular complications (47).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [47] Holman, 2008, 10-year follow-up of intensive glucose control in type 2 diabetes, N Engl J Med source
Not checked in the free run.
- Premisecitation§ GLYCEMIC GOALS
Setting goals by face-to-face or remote consultations has been shown to be more effective than usual care for glycemic control in type 2 diabetes for fasting plasma glucose and glycated hemoglobin.
“Setting goals by face-to-face or remote consultations has been shown to be more effective than usual care for glycemic control in type 2 diabetes for fasting plasma glucose and glycated hemoglobin (41).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [41] Whitehead, 2022, The effectiveness of goal setting on glycaemic control for people with type 2 diabetes and prediabetes: a systematic review and meta-analysis, J Adv Nurs source
Not checked in the free run.
- Premisecitation§ GLYCEMIC GOALS
Findings from the DCCT and UKPDS studies demonstrate a curvilinear relationship between A1C and microvascular complications.
“Findings from the DCCT (33) and UKPDS (49) studies demonstrate a curvilinear relationship between A1C and microvascular complications.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [33] Diabetes Control and Complications Trial Research Group, 1993, The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus, N Engl J Med source
Not checked in the free run.
- cites [49] Adler, 2000, Association of systolic blood pressure with macrovascular and microvascular complications of type 2 diabetes (UKPDS 36): prospective observational study, BMJ source
Not checked in the free run.
- Premisecitation§ GLYCEMIC GOALS
The Kumamoto Study and UK Prospective Diabetes Study (UKPDS) confirmed that intensive glycemic control significantly decreased rates of microvascular complications in people with short-duration type 2 diabetes.
“The Kumamoto Study (44) and UK Prospective Diabetes Study (UKPDS) (45,46) confirmed that intensive glycemic control significantly decreased rates of microvascular complications in people with short-duration type 2 diabetes.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [44] Ohkubo, 1995, Intensive insulin therapy prevents the progression of diabetic microvascular complications in Japanese patients with non-insulin-dependent diabetes mellitus: a randomized prospective 6-year study, Diabetes Res Clin Pract source
Not checked in the free run.
- cites [45] UK Prospective Diabetes Study (UKPDS) Group, 1998, Effect of intensive blood-glucose control with metformin on complications in overweight patients with type 2 diabetes (UKPDS 34), Lancet source
Not checked in the free run.
- cites [46] UK Prospective Diabetes Study (UKPDS) Group, 1998, Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33), Lancet source
Not checked in the free run.
- Premisecitation§ 6.3 Standardized, single-page glucose
Major clinical trials of insulin-treated patients have included BGM as part of multifactorial interventions to demonstrate the benefit of intensive glycemic control on diabetes complications.
“Major clinical trials of insulin-treated patients have included BGM as part of multifactorial interventions to demonstrate the benefit of intensive glycemic control on diabetes complications (33).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [33] Diabetes Control and Complications Trial Research Group, 1993, The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus, N Engl J Med source
Not checked in the free run.
- Interpretationreasoning§ GLYCEMIC GOALS
There is no need to deintensify therapy for an individual with an A1C between 6 and 7% in the setting of low hypoglycemia risk with a long life expectancy.
“The implication of these findings is that there is no need to deintensify therapy for an individual with an A1C between 6 and 7% in the setting of low hypoglycemia risk with a long life expectancy.”
Quote in the paperSubstantial claim - Interpretationreasoning§ 6.3 Standardized, single-page glucose
BGM is an integral component of effective therapy of patients taking insulin.
“BGM is thus an integral component of effective therapy of patients taking insulin.”
Quote in the paperSubstantial claim - Premisecitation§ 6.3 Standardized, single-page glucose
New data support the premise that increased TIR correlates with the risk of complications.
“New data support the premise that increased TIR correlates with the risk of complications.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites (30)(31)(32)
Not checked in the free run.
- Premisecitation§ GLYCEMIC GOALS
Achieving A1C targets of <7% (53 mmol/mol) has been shown to reduce microvascular complications of type 1 and type 2 diabetes when instituted early in the course of disease.
“Therefore, achieving A1C targets of <7% (53 mmol/mol) has been shown to reduce microvascular complications of type 1 and type 2 diabetes when instituted early in the course of disease (2,48).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [2] Laiteerapong, 2019, The legacy effect in type 2 diabetes: impact of early glycemic control on future complications (the Diabetes & Aging Study), Diabetes Care source
Not checked in the free run.
- cites [48] Lind, 2019, HbA1c level as a risk factor for retinopathy and nephropathy in children and adults with type 1 diabetes: Swedish population based cohort study, BMJ source
Not checked in the free run.
- Premisecitation§ GLYCEMIC GOALS
Follow-up of the DCCT cohorts in the Epidemiology of Diabetes Interventions and Complications (EDIC) study demonstrated persistence of these microvascular benefits over two decades despite the fact that the glycemic separation between the treatment groups diminished and disappeared during follow-up.
“Follow-up of the DCCT cohorts in the Epidemiology of Diabetes Interventions and Complications (EDIC) study (42,43) demonstrated persistence of these microvascular benefits over two decades despite the fact that the glycemic separation between the treatment groups diminished and disappeared during follow-up.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [42] Diabetes Control and Complications Trial (DCCT)/Epidemiology of Diabetes Interventions and Complications (EDIC) Research Group, 2015, Effect of intensive diabetes therapy on the progression of diabetic retinopathy in patients with type 1 diabetes: 18 years of follow-up in the DCCT/EDIC, Diabetes source
Not checked in the free run.
- cites [43] Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Research Group, 2000, Retinopathy and nephropathy in patients with type 1 diabetes four years after a trial of intensive therapy, N Engl J Med source
Not checked in the free run.
- Premisecitation§ GLYCEMIC GOALS
The Diabetes Control and Complications Trial (DCCT) showed definitively that better glycemic control is associated with 50-76% reductions in rates of development and progression of microvascular complications.
“The Diabetes Control and Complications Trial (DCCT) (33), a prospective randomized controlled trial of intensive (mean A1C about 7% [53 mmol/mol]) versus standard (mean A1C about 9% [75 mmol/mol]) glycemic control in people with type 1 diabetes, showed definitively that better glycemic control is associated with 50-76% reductions in rates of development and progression of microvascular (retinopath”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [33] Diabetes Control and Complications Trial Research Group, 1993, The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus, N Engl J Med source
Not checked in the free run.
- Premisecitation§ Cardiovascular Disease and Type 2 Diabetes
Ten-year follow-up of the VADT cohort showed no benefit in overall mortality.
“However, 10-year follow-up of the VADT cohort (64) did demonstrate a reduction in the risk of cardiovascular events (52.7 [control group] vs. 44.1 [intervention group] events per 1,000 person-years) with no benefit in cardiovascular or overall mortality.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [64] Hayward, 2015, Follow-up of glycemic control and cardiovascular outcomes in type 2 diabetes, N Engl J Med source
Not checked in the free run.
- Premisecitation§ Cardiovascular Disease and Type 2 Diabetes
In the ADVANCE trial, the end-stage renal disease rate was lower in the intensive treatment group over follow-up.
“The endstage renal disease rate was lower in the intensive treatment group over follow-up.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [63] Zoungas, 2014, Follow-up of blood-pressure lowering and glucose control in type 2 diabetes, N Engl J Med source
Not checked in the free run.
- Premisecitation§ Cardiovascular Disease and Type 1 Diabetes
In the DCCT, there was a trend toward lower risk of CVD events with intensive control.
“In the DCCT, there was a trend toward lower risk of CVD events with intensive control.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [33] Diabetes Control and Complications Trial Research Group, 1993, The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus, N Engl J Med source
Not checked in the free run.
- Premisecitation§ Cardiovascular Disease and Type 2 Diabetes
Longer-term follow-up of the ADVANCE trial showed no evidence of cardiovascular benefit or harm.
“Longer-term follow-up has shown no evidence of cardiovascular benefit, or harm, in the ADVANCE trial (63).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [63] Zoungas, 2014, Follow-up of blood-pressure lowering and glucose control in type 2 diabetes, N Engl J Med source
Not checked in the free run.
- Premisecitation§ Cardiovascular Disease and Type 2 Diabetes
Ten-year follow-up of the VADT cohort showed no benefit in cardiovascular mortality.
“However, 10-year follow-up of the VADT cohort (64) did demonstrate a reduction in the risk of cardiovascular events (52.7 [control group] vs. 44.1 [intervention group] events per 1,000 person-years) with no benefit in cardiovascular or overall mortality.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [64] Hayward, 2015, Follow-up of glycemic control and cardiovascular outcomes in type 2 diabetes, N Engl J Med source
Not checked in the free run.
- Premisecitation§ Cardiovascular Disease and Type 1 Diabetes
In the 9-year post-DCCT follow-up of the EDIC cohort, participants previously randomized to the intensive arm had a significant 57% reduction in the risk of nonfatal myocardial infarction (MI), stroke, or cardiovascular death compared with those previously randomized to the standard arm.
“In the 9-year post-DCCT follow-up of the EDIC cohort, participants previously randomized to the intensive arm had a significant 57% reduction in the risk of nonfatal myocardial infarction (MI), stroke, or cardiovascular death compared with those previously randomized to the standard arm (54).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [54] Nathan, 2005, Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes, N Engl J Med source
Not checked in the free run.
- Interpretationcitation§ Cardiovascular Disease and Type 2 Diabetes
Mortality findings in ACCORD and subgroup analyses of VADT suggest that the potential risks of intensive glycemic control may outweigh its benefits in higher-risk individuals.
“Mortality findings in ACCORD (62) and subgroup analyses of VADT (66) suggest that the potential risks of intensive glycemic control may outweigh its benefits in higher-risk individuals.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [62] Gerstein, 2008, Effects of intensive glucose lowering in type 2 diabetes, N Engl J Med source
Not checked in the free run.
- cites [66] Duckworth, 2011, The duration of diabetes affects the response to intensive glucose control in type 2 subjects: the VA Diabetes Trial, J Diabetes Complications source
Not checked in the free run.
- Interpretationreasoning§ GLYCEMIC GOALS
Findings from ACCORD, ADVANCE, and VADT suggest caution is needed in treating diabetes to near-normal A1C goals in people with long-standing type 2 diabetes with or at significant risk of CVD.
“Findings from these studies suggest caution is needed in treating diabetes to near-normal A1C goals in people with long-standing type 2 diabetes with or at significant risk of CVD.”
Quote in the paperSubstantial claim - Premisecitation§ Cardiovascular Disease and Type 2 Diabetes
ACCORD, ADVANCE, and VADT suggested no significant reduction in CVD outcomes with intensive glycemic control in participants followed for shorter durations (3.5-5.6 years) and who had more advanced type 2 diabetes and CVD risk than the UKPDS participants.
“ACCORD, ADVANCE, and VADT suggested no significant reduction in CVD outcomes with intensive glycemic control in participants followed for shorter durations (3.5-5.6 years) and who had more advanced type 2 diabetes and CVD risk than the UKPDS participants.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites (50)(51)(52)
Not checked in the free run.
- Premisecitation§ Cardiovascular Disease and Type 2 Diabetes
Ten-year follow-up of the VADT cohort demonstrated a reduction in the risk of cardiovascular events (52.7 control vs. 44.1 intervention events per 1,000 person-years).
“However, 10-year follow-up of the VADT cohort (64) did demonstrate a reduction in the risk of cardiovascular events (52.7 [control group] vs. 44.1 [intervention group] events per 1,000 person-years) with no benefit in cardiovascular or overall mortality.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [64] Hayward, 2015, Follow-up of glycemic control and cardiovascular outcomes in type 2 diabetes, N Engl J Med source
Not checked in the free run.
- Premisecitation§ Cardiovascular Disease and Type 2 Diabetes
Analysis of the ACCORD data did not identify a clear explanation for the excess mortality in the intensive treatment arm.
“Analysis of the ACCORD data did not identify a clear explanation for the excess mortality in the intensive treatment arm (62).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [62] Gerstein, 2008, Effects of intensive glucose lowering in type 2 diabetes, N Engl J Med source
Not checked in the free run.
- Interpretationcitation§ Cardiovascular Disease and Type 2 Diabetes
Heterogeneity of mortality effects across studies may reflect differences in glycemic targets, therapeutic approaches, and population characteristics.
“Heterogeneity of mortality effects across studies was noted, which may reflect differences in glycemic targets, therapeutic approaches, and, importantly, population characteristics (65).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [65] Turnbull, 2009, Intensive glucose control and macrovascular outcomes in type 2 diabetes, Diabetologia source
Not checked in the free run.
- Premisenone given§ Setting and Modifying A1C Goals
In people with diabetes, surrogate measures of vascular pathology, such as endothelial dysfunction, are negatively affected by postprandial hyperglycemia.
“In people with diabetes, surrogate measures of vascular pathology, such as endothelial dysfunction, are negatively affected by postprandial hyperglycemia.”
Quote in the paperNot a substantial claim - Interpretationreasoning§ Setting and Modifying A1C Goals
A glycemic goal that might be appropriate for an individual early in the course of diabetes may change over time.
“Thus, a goal that might be appropriate for an individual early in the course of their diabetes may change over time.”
Quote in the paperSubstantial claim- Rests on an assumption: Diabetes is a chronic disease that progresses over decades.
- Interpretationreasoning§ Setting and Modifying A1C Goals
Over time, comorbidities may emerge, decreasing life expectancy and thereby decreasing the potential to reap benefits from intensive control.
“Over time, comorbidities may emerge, decreasing life expectancy and thereby decreasing the potential to reap benefits from intensive control.”
Quote in the paperSubstantial claim - Premisecitation§ Cardiovascular Disease and Type 2 Diabetes
Severe hypoglycemia is a potent marker of high absolute risk of cardiovascular events and mortality.
“As discussed further below, severe hypoglycemia is a potent marker of high absolute risk of cardiovascular events and mortality (69).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [69] Lee, 2018, The association of severe hypoglycemia with incident cardiovascular events and mortality in adults with type 2 diabetes, Diabetes Care source
Not checked in the free run.
- Premisecitation§ Setting and Modifying A1C Goals
A randomized controlled trial in patients with known CVD found no CVD benefit of insulin treatment plans targeting postprandial glucose compared with those targeting preprandial glucose.
“Additionally, a randomized controlled trial in patients with known CVD found no CVD benefit of insulin treatment plans targeting postprandial glucose compared with those targeting preprandial glucose (73).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [73] Raz, 2009, Effects of prandial versus fasting glycemia on cardiovascular outcomes in type 2 diabetes: the HEART2D trial, Diabetes Care source
Not checked in the free run.
- Interpretationcitation§ Cardiovascular Disease and Type 2 Diabetes
Individuals with a long duration of diabetes, a known history of hypoglycemia, advanced atherosclerosis, or advanced age/frailty may benefit from less aggressive glycemic targets.
“Individuals with a long duration of diabetes, a known history of hypoglycemia, advanced atherosclerosis, or advanced age/frailty may benefit from less aggressive targets (67,68).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [67] Lipska, 2015, Potential overtreatment of diabetes mellitus in older adults with tight glycemic control, JAMA Intern Med source
Not checked in the free run.
- cites [68] Vijan, 2014, Effect of patients’ risks and preferences on health gains with plasma glucose level lowering in type 2 diabetes mellitus, JAMA Intern Med source
Not checked in the free run.
- Premisecitation§ Setting and Modifying A1C Goals
Intervention trials have not shown postprandial glucose to be a cardiovascular risk factor independent of A1C.
“Elevated postchallenge (2-h oral glucose tolerance test) glucose values have been associated with increased cardiovascular risk independent of fasting plasma glucose in some epidemiologic studies, whereas intervention trials have not shown postprandial glucose to be a cardiovascular risk factor independent of A1C.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [72] American Diabetes Association, 2001, Postprandial blood glucose, Diabetes Care source
Not checked in the free run.
- cites [73] Raz, 2009, Effects of prandial versus fasting glycemia on cardiovascular outcomes in type 2 diabetes: the HEART2D trial, Diabetes Care source
Not checked in the free run.
- Premisecitation§ Setting and Modifying A1C Goals
Elevated postchallenge (2-h oral glucose tolerance test) glucose values have been associated with increased cardiovascular risk independent of fasting plasma glucose in some epidemiologic studies.
“Elevated postchallenge (2-h oral glucose tolerance test) glucose values have been associated with increased cardiovascular risk independent of fasting plasma glucose in some epidemiologic studies, whereas intervention trials have not shown postprandial glucose to be a cardiovascular risk factor independent of A1C.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [72] American Diabetes Association, 2001, Postprandial blood glucose, Diabetes Care source
Not checked in the free run.
- cites [73] Raz, 2009, Effects of prandial versus fasting glycemia on cardiovascular outcomes in type 2 diabetes: the HEART2D trial, Diabetes Care source
Not checked in the free run.
- Interpretationreasoning§ Setting and Modifying A1C Goals
Newly diagnosed patients and/or those without comorbidities that limit life expectancy may benefit from intensive control proven to prevent microvascular complications.
“Newly diagnosed patients and/or those without comorbidities that limit life expectancy may benefit from intensive control proven to prevent microvascular complications.”
Quote in the paperSubstantial claim - Premisecitation§ Cardiovascular Disease and Type 2 Diabetes
In ACCORD, ADVANCE, and VADT, severe hypoglycemia was significantly more likely in participants randomly assigned to the intensive glycemic control arm.
“In all three trials, severe hypoglycemia was significantly more likely in participants who were randomly assigned to the intensive glycemic control arm.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [62] Gerstein, 2008, Effects of intensive glucose lowering in type 2 diabetes, N Engl J Med source
Not checked in the free run.
- cites [63] Zoungas, 2014, Follow-up of blood-pressure lowering and glucose control in type 2 diabetes, N Engl J Med source
Not checked in the free run.
- cites [64] Hayward, 2015, Follow-up of glycemic control and cardiovascular outcomes in type 2 diabetes, N Engl J Med source
Not checked in the free run.
- Premisenone given§ Cardiovascular Disease and Type 2 Diabetes
The cardiovascular benefits of SGLT2 inhibitors or GLP-1 receptor agonists are not contingent upon A1C lowering.
“As outlined in more detail in Section 9, “Pharmacologic Approaches to Glycemic Treatment,” and Section 10, “Cardiovascular Disease and Risk Management,” the cardiovascular benefits of SGLT2 inhibitors or GLP-1 receptor agonists are not contingent upon A1C lowering; therefore, initiation can be considered in people with type 2 diabetes and CVD independent of the current A1C or A1C goal or metformin”
Quote in the paperSubstantial claim - Premisenone given§ Setting and Modifying A1C Goals
Landmark trials of glycemic control such as the DCCT and UKPDS relied overwhelmingly on preprandial BGM.
“However, outcome studies have shown A1C to be the primary predictor of complications, and landmark trials of glycemic control such as the DCCT and UKPDS relied overwhelmingly on preprandial BGM.”
Quote in the paperNot a substantial claim - Premisenone given§ Setting and Modifying A1C Goals
Outcome studies have shown A1C to be the primary predictor of complications.
“However, outcome studies have shown A1C to be the primary predictor of complications, and landmark trials of glycemic control such as the DCCT and UKPDS relied overwhelmingly on preprandial BGM.”
Quote in the paperSubstantial claim - Interpretationcitation§ Setting and Modifying A1C Goals
A finite period of intensive control to near-normal A1C may yield enduring benefits even if control is subsequently deintensified as patient characteristics change.
“Thus, a finite period of intensive control to near-normal A1C may yield enduring benefits even if control is subsequently deintensified as patient characteristics change.”
Quote in the paperSubstantial claim - Premisenone given§ Setting and Modifying A1C Goals
Both DCCT/EDIC and UKPDS demonstrated metabolic memory, or a legacy effect, in which a finite period of intensive control yielded benefits that extended for decades after that control ended.
“Both DCCT/ EDIC and UKPDS demonstrated metabolic memory, or a legacy effect, in which a finite period of intensive control yielded benefits that extended for decades after that control ended.”
Quote in the paperSubstantial claim - Premisecitation§ Setting and Modifying A1C Goals
In a substudy of the ACCORD trial, cognitive impairment at baseline or decline in cognitive function during the trial was significantly associated with subsequent episodes of level 3 hypoglycemia.
“Conversely, in a substudy of the ACCORD trial, cognitive impairment at baseline or decline in cognitive function during the trial was significantly associated with subsequent episodes of level 3 hypoglycemia (85).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [85] Punthakee, 2012, Poor cognitive function and risk of severe hypoglycemia in type 2 diabetes: post hoc epidemiologic analysis of the ACCORD trial, Diabetes Care source
Not checked in the free run.
- Premisenone given§ Setting and Modifying A1C Goals
Level 3 hypoglycemia was associated with mortality in participants in both the standard and the intensive glycemia arms of the ACCORD trial.
“Level 3 hypoglycemia was associated with mortality in participants in both the standard and the intensive glycemia arms of the ACCORD trial, but the relationships between hypoglycemia, achieved A1C, and treatment intensity were not straightforward.”
Quote in the paperNot a substantial claim - Interpretationcitation§ Setting and Modifying A1C Goals
If a patient has level 2 hypoglycemia without adrenergic or neuroglycopenic symptoms, they likely have hypoglycemia unawareness.
“If a patient has level 2 hypoglycemia without adrenergic or neuroglycopenic symptoms, they likely have hypoglycemia unawareness (discussed further below).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [75] Polonsky, 2021, “Hyperglycemia aversiveness”: investigating an overlooked problem among adults with type 1 diabetes, J Diabetes Complications source
Not checked in the free run.
- cites [79] Amiel, 2022, A parallel randomised controlled trial of the Hypoglycaemia Awareness Restoration Programme for adults with type 1 diabetes and problematic hypoglycaemia despite optimised self-care (HARPdoc), Nat Commun source
Not checked in the free run.
- Premisecitation§ Setting and Modifying A1C Goals
Studies of rates of level 3 hypoglycemia that rely on claims data for hospitalization, emergency department visits, and ambulance use substantially underestimate rates of level 3 hypoglycemia.
“Studies of rates of level 3 hypoglycemia that rely on claims data for hospitalization, emergency department visits, and ambulance use substantially underestimate rates of level 3 hypoglycemia (87) yet reveal a high burden of hypoglycemia in adults over 60 years of age in the community (88).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [87] Karter, 2018, Surveillance of hypoglycemia—limitations of emergency department and hospital utilization data, JAMA Intern Med source
Not checked in the free run.
- Premisecitation§ Setting and Modifying A1C Goals
African American individuals are at substantially increased risk of level 3 hypoglycemia.
“African American individuals are at substantially increased risk of level 3 hypoglycemia (88,89).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [88] Lee, 2017, risk factors for severe hypoglycemia in black and white adults with diabetes: the Atherosclerosis Risk in Communities (ARIC) study, Diabetes Care source
Not checked in the free run.
- cites [89] Karter, 2017, High rates of severe hypoglycemia among African American patients with diabetes: the surveillance, prevention, and Management of Diabetes Mellitus (SUPREME-DM) network, J Diabetes Complications source
Not checked in the free run.
- Premisecitation§ Setting and Modifying A1C Goals
Evidence from DCCT/EDIC found no association between frequency of level 3 hypoglycemia and cognitive decline.
“Evidence from DCCT/EDIC, which involved adolescents and younger adults with type 1 diabetes, found no association between frequency of level 3 hypoglycemia and cognitive decline (86).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [86] Jacobson, 2007, Long-term effect of diabetes and its treatment on cognitive function, N Engl J Med source
Not checked in the free run.
- Premisecitation§ Setting and Modifying A1C Goals
An association between self-reported level 3 hypoglycemia and 5-year mortality has been reported in clinical practice.
“An association between selfreported level 3 hypoglycemia and 5-year mortality has also been reported in clinical practice (91).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [91] McCoy, 2012, Increased mortality of patients with diabetes reporting severe hypoglycemia, Diabetes Care source
Not checked in the free run.
- Premisecitation§ Setting and Modifying A1C Goals
Young children with type 1 diabetes and the elderly, including those with type 1 and type 2 diabetes, are particularly vulnerable to hypoglycemia because of their reduced ability to recognize hypoglycemic symptoms and effectively communicate their needs.
“Young children with type 1 diabetes and the elderly, including those with type 1 and type 2 diabetes (84,93), are noted as particularly vulnerable to hypoglycemia because of their reduced ability to recognize hypoglycemic symptoms and effectively communicate their needs.”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation§ Setting and Modifying A1C Goals
Glucose variability is associated with an increased risk for hypoglycemia.
“Glucose variability is also associated with an increased risk for hypoglycemia (92).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [92] Cahn, 2022, Machine learning based study of longitudinal HbA1c trends and their association with all-cause mortality: analyses from a national diabetes registry, Diabetes Metab Res Rev source
Not checked in the free run.
- Premisecitation§ Setting and Modifying A1C Goals
Studies relying on claims data reveal a high burden of hypoglycemia in adults over 60 years of age in the community.
“Studies of rates of level 3 hypoglycemia that rely on claims data for hospitalization, emergency department visits, and ambulance use substantially underestimate rates of level 3 hypoglycemia (87) yet reveal a high burden of hypoglycemia in adults over 60 years of age in the community (88).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [88] Lee, 2017, risk factors for severe hypoglycemia in black and white adults with diabetes: the Atherosclerosis Risk in Communities (ARIC) study, Diabetes Care source
Not checked in the free run.
- Premisecitation§ Setting and Modifying A1C Goals
In a community-based epidemiologic cohort of older adults with type 2 diabetes, important risk factors for level 3 hypoglycemia include insulin use, poor or moderate versus good glycemic control, albuminuria, and poor cognitive function.
“In addition to age and race, other important risk factors found in a community-based epidemiologic cohort of older adults with type 2 diabetes include insulin use, poor or moderate versus good glycemic control, albuminuria, and poor cognitive function (88).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [88] Lee, 2017, risk factors for severe hypoglycemia in black and white adults with diabetes: the Atherosclerosis Risk in Communities (ARIC) study, Diabetes Care source
Not checked in the free run.
- Premisenone given§ Setting and Modifying A1C Goals
The relationships between hypoglycemia, achieved A1C, and treatment intensity in the ACCORD trial were not straightforward.
“Level 3 hypoglycemia was associated with mortality in participants in both the standard and the intensive glycemia arms of the ACCORD trial, but the relationships between hypoglycemia, achieved A1C, and treatment intensity were not straightforward.”
Quote in the paperNot a substantial claim - Interpretationown data§ Setting and Modifying A1C Goals
These findings support that premeal glucose targets may be relaxed without undermining overall glycemic control as measured by A1C.
“These findings support that premeal glucose targets may be relaxed without undermining overall glycemic control as measured by A1C.”
Quote in the paperSubstantial claim - Premisecitation§ Setting and Modifying A1C Goals
An association of level 3 hypoglycemia with mortality was found in the ADVANCE trial.
“An association of level 3 hypoglycemia with mortality was also found in the ADVANCE trial (90).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [90] Zoungas, 2010, Severe hypoglycemia and risks of vascular events and death, N Engl J Med source
Not checked in the free run.
- Premisecitation§ Setting and Modifying A1C Goals
CGM with automated low glucose suspend and hybrid closed-loop systems have been shown to be effective in reducing hypoglycemia in type 1 diabetes.
“CGM with automated low glucose suspend and hybrid closed-loop systems have been shown to be effective in reducing hypoglycemia in type 1 diabetes (95).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [95] Bergenstal, 2013, Threshold-based insulin-pump interruption for reduction of hypoglycemia, N Engl J Med source
Not checked in the free run.
- Premisecitation§ Hypoglycemia Prevention
Some individuals with type 1 diabetes or type 2 diabetes and hypoglycemia who have a fear of hyperglycemia are resistant to relaxation of glycemic targets.
“Conversely, some individuals with type 1 diabetes or type 2 diabetes and hypoglycemia who have a fear of hyperglycemia are resistant to relaxation of glycemic targets (74)(75)(76)(77)(78)(79)(80)(81)(82)(83).”
Quote in the paperNot a substantial claim0 of 10 sources checked- cites [74] Agiostratidou, 2017, Standardizing clinically meaningful outcome measures beyond HbA1c for type 1 diabetes: a consensus report of the American Association of Clinical Endocrinologists, the American Association of Diabetes Educators, the American Diabetes Association, the Endocrine Society, JDRF International, The Leona M. and Harry B. Helmsley Charitable Trust, the Pediatric Endocrine Society, and the T1D Exchange, Diabetes Care source
Not checked in the free run.
- cites [75] Polonsky, 2021, “Hyperglycemia aversiveness”: investigating an overlooked problem among adults with type 1 diabetes, J Diabetes Complications source
Not checked in the free run.
- cites [76] Ghandi, 2021, A comparison of validated methods used to assess impaired awareness of hypoglycaemia in type 1 diabetes: an observational study, Diabetes Ther source
Not checked in the free run.
- cites [77] Li, 2019, Early hypoglycaemia and adherence after basal insulin initiation in a nationally representative sample of Medicare beneficiaries with type 2 diabetes, Diabetes Obes Metab source
Not checked in the free run.
- cites [78] Hendrieckx, 2019, Impact of severe hypoglycaemia on psychological outcomes in adults with type 2 diabetes: a systematic review, Diabet Med source
Not checked in the free run.
- cites [79] Amiel, 2022, A parallel randomised controlled trial of the Hypoglycaemia Awareness Restoration Programme for adults with type 1 diabetes and problematic hypoglycaemia despite optimised self-care (HARPdoc), Nat Commun source
Not checked in the free run.
- cites [80] Khunti, 2017, Impact of hypoglycaemia on patient-reported outcomes from a global, 24-country study of 27,585 people with type 1 and insulin-treated type 2 diabetes, Diabetes Res Clin Pract source
Not checked in the free run.
- cites [81] Choudhary, 2018, Hypoglycaemia in type 1 diabetes: technological treatments, their limitations and the place of psychology, Diabetologia source
Not checked in the free run.
- cites [82] Hopkins, 2012, Improved biomedical and psychological outcomes 1 year after structured education in flexible insulin therapy for people with type 1 diabetes: the U.K. DAFNE experience, Diabetes Care source
Not checked in the free run.
- cites [83] Yang, 2019, Determining the optimal fasting glucose target for patients with type 2 diabetes: results of the multicentre, open-label, randomized-controlled FPG GOAL trial, Diabetes Obes Metab source
Not checked in the free run.
- Premisecitation§ Setting and Modifying A1C Goals
In 2015, the ADA changed its preprandial glycemic target from 70-130 mg/dL (3.9-7.2 mmol/L) to 80-130 mg/dL (4.4-7.2 mmol/L).
“In 2015, the ADA changed its preprandial glycemic target from 70-130 mg/dL (3.9-7.2 mmol/L) to 80-130 mg/dL (4.4-7.2 mmol/L).”
Quote in the paperNot a substantial claim - Premisecitation§ Hypoglycemia Treatment
The acute glycemic response correlates better with the glucose content of food than with the carbohydrate content of food.
“The acute glycemic response correlates better with the glucose content of food than with the carbohydrate content of food.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [98] McTavish, 2011, Effective treatment of hypoglycemia in children with type 1 diabetes: a randomized controlled clinical trial, Pediatr Diabetes source
Not checked in the free run.
- cites [99] McTavish, 2018, Weight-based carbohydrate treatment of hypoglycaemia in people with type 1 diabetes using insulin pump therapy: a randomized crossover clinical trial, Diabet Med source
Not checked in the free run.
- cites [100] Georgakopoulos, 1990, Recovery from insulin-induced hypoglycemia after saccharose or glucose administration, Clin Physiol Biochem
Not checked in the free run.
- Premisenone given§ Hypoglycemia Treatment
Ongoing insulin activity or insulin secretagogues may lead to recurrent hypoglycemia unless more food is ingested after recovery.
“Ongoing insulin activity or insulin secretagogues may lead to recurrent hypoglycemia unless more food is ingested after recovery.”
Quote in the paperNot a substantial claim - Premisecitation§ Hypoglycemia Treatment
Hypoglycemia treatment requires ingestion of glucose- or carbohydrate-containing foods.
“Hypoglycemia treatment requires ingestion of glucose-or carbohydratecontaining foods (98-100).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [98] McTavish, 2011, Effective treatment of hypoglycemia in children with type 1 diabetes: a randomized controlled clinical trial, Pediatr Diabetes source
Not checked in the free run.
- cites [99] McTavish, 2018, Weight-based carbohydrate treatment of hypoglycaemia in people with type 1 diabetes using insulin pump therapy: a randomized crossover clinical trial, Diabet Med source
Not checked in the free run.
- cites [100] Georgakopoulos, 1990, Recovery from insulin-induced hypoglycemia after saccharose or glucose administration, Clin Physiol Biochem
Not checked in the free run.
- Premisecitation§ Hypoglycemia Treatment
In type 2 diabetes, ingested protein may increase insulin response without increasing plasma glucose concentrations.
“In type 2 diabetes, ingested protein may increase insulin response without increasing plasma glucose concentrations (101).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [101] Layman, 2008, Protein in optimal health: heart disease and type 2 diabetes, Am J Clin Nutr source
Not checked in the free run.
- Interpretationcitation§ Setting and Modifying A1C Goals
The 2015 change in the ADA preprandial glycemic target reflects the results of the ADAG study, which demonstrated that higher glycemic targets corresponded to A1C goals.
“This change reflects the results of the ADAG study, which demonstrated that higher glycemic targets corresponded to A1C goals ( 14).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [14] Wei, 2014, Empirically establishing blood glucose targets to achieve HbA1c goals, Diabetes Care source
Not checked in the free run.
- Premisenone given§ Hypoglycemia Treatment
Any form of carbohydrate that contains glucose will raise blood glucose.
“Pure glucose is the preferred treatment, but any form of carbohydrate that contains glucose will raise blood glucose.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [98] McTavish, 2011, Effective treatment of hypoglycemia in children with type 1 diabetes: a randomized controlled clinical trial, Pediatr Diabetes source
Not checked in the free run.
- cites [99] McTavish, 2018, Weight-based carbohydrate treatment of hypoglycaemia in people with type 1 diabetes using insulin pump therapy: a randomized crossover clinical trial, Diabet Med source
Not checked in the free run.
- cites [100] Georgakopoulos, 1990, Recovery from insulin-induced hypoglycemia after saccharose or glucose administration, Clin Physiol Biochem
Not checked in the free run.
- Interpretationnone given§ Use of CGM Technology in Hypoglycemia Prevention
Overall, real-time CGM appears to be a useful tool for decreasing time spent in a hypoglycemic range in people with impaired awareness.
“Overall, realtime CGM appears to be a useful tool for decreasing time spent in a hypoglycemic range in people with impaired awareness.”
Quote in the paperNot a substantial claim - Premisecitation§ Use of CGM Technology in Hypoglycemia Prevention
Real-time CGM studies can be divided into studies with elevated A1C with the primary end point of A1C reduction and studies with A1C near target with the primary end point of reduction in hypoglycemia.
“Real-time CGM studies can be divided into studies with elevated A1C with the primary end point of A1C reduction and studies with A1C near target with the primary end point of reduction in hypoglycemia (98, 109-124).”
Quote in the paperSubstantial claim0 of 10 sources checked- cites [98] McTavish, 2011, Effective treatment of hypoglycemia in children with type 1 diabetes: a randomized controlled clinical trial, Pediatr Diabetes source
Not checked in the free run.
- cites [109] Heinemann, 2018, Real-time continuous glucose monitoring in adults with type 1 diabetes and impaired hypoglycaemia awareness or severe hypoglycaemia treated with multiple daily insulin injections (HypoDE): a multicentre, randomised controlled trial, Lancet source
Not checked in the free run.
- cites [110] Beck, 2017, Effect of continuous glucose monitoring on glycemic control in adults with type 1 diabetes using insulin injections: the DIAMOND randomized clinical trial, JAMA source
Not checked in the free run.
- cites [111] Sequeira, 2013, Continuous glucose monitoring pilot in low-income type 1 diabetes patients, Diabetes Technol Ther source
Not checked in the free run.
- cites [112] Tumminia, 2015, Efficacy of real-time continuous glucose monitoring on glycaemic control and glucose variability in type 1 diabetic patients treated with either insulin pumps or multiple insulin injection therapy: a randomized controlled crossover trial, Diabetes Metab Res Rev source
Not checked in the free run.
- cites [113] Bolinder, 2016, Novel glucose-sensing technology and hypoglycaemia in type 1 diabetes: a multicentre, non-masked, randomised controlled trial, Lancet source
Not checked in the free run.
- cites [114] Hermanns, 2014, The impact of continuous glucose monitoring on low interstitial glucose values and low blood glucose values assessed by point-of-care blood glucose meters: results of a crossover trial, J Diabetes Sci Technol source
Not checked in the free run.
- cites [115] Reddy, 2018, A randomized controlled pilot study of continuous glucose monitoring and flash glucose monitoring in people with Type 1 diabetes and impaired awareness of hypoglycaemia, Diabet Med source
Not checked in the free run.
- cites [116] Riddlesworth, 2017, Hypoglycemic event frequency and the effect of continuous glucose monitoring in adults with type 1 diabetes using multiple daily insulin injections, Diabetes Ther source
Not checked in the free run.
- cites [117] van Beers, 2016, Continuous glucose monitoring for patients with type 1 diabetes and impaired awareness of hypoglycaemia (IN CONTROL): a randomised, open-label, crossover trial, Lancet Diabetes Endocrinol source
Not checked in the free run.
- Premisecitation§ Use of CGM Technology in Hypoglycemia Prevention
With the advent of sensor-augmented CGM and CGM-assisted pump therapy, there has been a promise of alarm-based prevention of hypoglycemia.
“With the advent of sensor-augmented CGM and CGM-assisted pump therapy, there has been a promise of alarm-based prevention of hypoglycemia (108,109).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [108] Hermanns, 2019, Impact of CGM on the management of hypoglycemia problems: overview and secondary analysis of the HypoDE study, J Diabetes Sci Technol source
Not checked in the free run.
- cites [109] Heinemann, 2018, Real-time continuous glucose monitoring in adults with type 1 diabetes and impaired hypoglycaemia awareness or severe hypoglycaemia treated with multiple daily insulin injections (HypoDE): a multicentre, randomised controlled trial, Lancet source
Not checked in the free run.
- Premisenone given§ Use of CGM Technology in Hypoglycemia Prevention
For studies targeting hypoglycemia, most studies demonstrated a significant reduction in time spent between 54 and 70 mg/dL.
“For studies targeting hypoglycemia, most studies demonstrated a significant reduction in time spent between 54 and 70 mg/dL.”
Quote in the paperSubstantial claim - Premisecitation§ Use of CGM Technology in Hypoglycemia Prevention
For people with type 2 diabetes, other strategies to assist them with insulin dosing can improve A1C with minimal hypoglycemia.
“For people with type 2 diabetes, other strategies to assist them with insulin dosing can improve A1C with minimal hypoglycemia (133,134).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [133] Bergenstal, 2019, Automated insulin dosing guidance to optimise insulin management in patients with type 2 diabetes: a multicentre, randomised controlled trial, Lancet source
Not checked in the free run.
- cites [134] Kitabchi, 2009, Hyperglycemic crises in adult patients with diabetes, Diabetes Care source
Not checked in the free run.
- Premisecitation§ Hypoglycemia Prevention
Several weeks of avoidance of hypoglycemia has been demonstrated to improve counterregulation and hypoglycemia awareness in many people with diabetes.
“A corollary to this “vicious cycle” is that several weeks of avoidance of hypoglycemia has been demonstrated to improve counterregulation and hypoglycemia awareness in many people with diabetes (106).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [106] Cryer, 2004, Diverse causes of hypoglycemia-associated autonomic failure in diabetes, N Engl J Med source
Not checked in the free run.
- Premisenone given§ Use of CGM Technology in Hypoglycemia Prevention
In people with type 1 and type 2 diabetes with A1C above target, CGM improved A1C between 0.3 and 0.6%.
“In people with type 1 and type 2 diabetes with A1C above target, CGM improved A1C between 0.3 and 0.6%.”
Quote in the paperSubstantial claim - Premisenone given§ Hypoglycemia Prevention
In type 1 diabetes and severely insulin-deficient type 2 diabetes, hypoglycemia unawareness can severely compromise stringent diabetes control and quality of life.
“In type 1 diabetes and severely insulindeficient type 2 diabetes, hypoglycemia unawareness (or hypoglycemia-associated autonomic failure) can severely compromise stringent diabetes control and quality of life.”
Quote in the paperSubstantial claim - Premisecitation§ Use of CGM Technology in Hypoglycemia Prevention
A report in people with type 1 diabetes over the age of 60 years revealed a small but statistically significant decrease in hypoglycemia.
“A report in people with type 1 diabetes over the age of 60 years revealed a small but statistically significant decrease in hypoglycemia (125).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [125] Pratley, 2020, Effect of continuous glucose monitoring on hypoglycemia in older adults with type 1 diabetes: a randomized clinical trial, JAMA source
Not checked in the free run.
- Classified as probably not a substantial claim. 23
- May combine two claims. 29
- The quote only partly states this claim. 1
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation§ Correlation Between BGM and A1CThe mean plasma glucose numbers in Table 6.1 are based on 2,700 readings per A1C measurement in the ADAG trial.
“Clinicians should note that the mean plasma glucose numbers in Table 6.1 are based on 2,700 readings per A1C measurement in the ADAG trial.”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
Premisecitation§ A1C Differences in Ethnic Populations and ChildrenA small study comparing A1C to CGM data in children with type 1 diabetes found a highly statistically significant correlation between A1C and mean blood glucose, although the correlation (r = 0.7) was significantly lower than that in the ADAG trial.
“A small study comparing A1C to CGM data in children with type 1 diabetes found a highly statistically significant correlation between A1C and mean blood glucose, although the correlation (r = 0.7) was significantly lower than that in the ADAG trial (21).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [21] Diabetes Research in Children Network (DirecNet) Study Group, 2008, Relationship of A1C to glucose concentrations in children with type 1 diabetes: assessments by high-frequency glucose determinations by sensors, Diabetes Care source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Interpretationnone given§ A1C LimitationsOther measures of average glycemia such as fructosamine and 1,5-anhydroglucitol are available, but their translation into average glucose levels and their prognostic significance are not as clear as for A1C and CGM.
“Other measures of average glycemia such as fructosamine and 1,5-anhydroglucitol are available, but their translation into average glucose levels and their prognostic significance are not as clear as for A1C and CGM.”
Quote in the paperNot a substantial claimMay combine two claims. The quote only partly states this claim.
Interpretationreasoning§ A1C LimitationsDiscordant results between BGM/CGM and A1C can be the result of conditions that affect red blood cell turnover or glycemic variability, with BGM missing the extremes.
“Discordant results between BGM/CGM and A1C can be the result of the conditions outlined above or glycemic variability, with BGM missing the extremes.”
Quote in the paperSubstantial claimMay combine two claims.
Premisecitation§ 6.3 Standardized, single-page glucoseTime in range (TIR) is a useful metric of glycemic control and glucose patterns, and it correlates well with A1C in most studies.
“As stated in the recommendations, time in range (TIR) is a useful metric of glycemic control and glucose patterns, and it correlates well with A1C in most studies (24)(25)(26)(27)(28)(29).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites (24)(25)(26)(27)(28)(29)
Not checked in the free run.
May combine two claims.
Premisecitation§ 6.3 Standardized, single-page glucoseCross-sectional data and cohort studies demonstrate TIR as an acceptable end point for clinical trials moving forward and that it can be used for assessment of glycemic control.
“they include crosssectional data and cohort studies (30)(31)(32) demonstrating TIR as an acceptable end point for clinical trials moving forward and that it can be used for assessment of glycemic control.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites (30)(31)(32)
Not checked in the free run.
May combine two claims.
Premisecitation§ 6.3 Standardized, single-page glucosePublished data from two retrospective studies suggest a strong correlation between TIR and A1C, with a goal of 70% TIR aligning with an A1C of 7%.
“Published data from two retrospective studies suggest a strong correlation between TIR and A1C, with a goal of 70% TIR aligning with an A1C of 7% (8,26).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [8] Beck, 2019, The relationships between time in range, hyperglycemia metrics, and HbA1c, J Diabetes Sci Technol source
Not checked in the free run.
- cites [26] Vigersky, 2019, The relationship of hemoglobin A1C to time-in-range in patients with diabetes, Diabetes Technol Ther source
Not checked in the free run.
May combine two claims.
Interpretationreasoning§ GLYCEMIC GOALSFurther lowering of A1C from 7 to 6% (53 mmol/mol to 42 mmol/mol) is associated with further reduction in the risk of microvascular complications, although the absolute risk reductions become much smaller.
“These analyses also suggest that further lowering of A1C from 7 to 6% (53 mmol/mol to 42 mmol/mol) is associated with further reduction in the risk of microvascular complications, although the absolute risk reductions become much smaller.”
Quote in the paperSubstantial claimMay combine two claims.
Premisecitation§ Cardiovascular Disease and Type 2 DiabetesThe glycemic control comparison in ACCORD was halted early due to an increased mortality rate in the intensive compared with the standard treatment arm (1.41% vs. 1.14% per year; hazard ratio 1.22 [95% CI 1.01-1.46]), with a similar increase in cardiovascular deaths.
“The glycemic control comparison in ACCORD was halted early due to an increased mortality rate in the intensive compared with the standard treatment arm (1.41% vs. 1.14% per year; hazard ratio 1.22 [95% CI 1.01-1.46]),with a similar increase in cardiovascular deaths.”
Quote in the paperSubstantial claimMay combine two claims.
Premisecitation§ Cardiovascular Disease and Type 2 DiabetesAfter 10 years of observational follow-up, those originally randomized to intensive glycemic control had significant long-term reductions in MI (15% with sulfonylurea or insulin as initial pharmacotherapy, 33% with metformin as initial pharmacotherapy) and in all-cause mortality (13% and 27%, respectively).
“Similar to the DCCT/EDIC, after 10 years of observational followup, those originally randomized to intensive glycemic control had significant long-term reductions in MI (15% with sulfonylurea or insulin as initial pharmacotherapy, 33% with metformin as initial pharmacotherapy) and in all-cause mortality (13% and 27%, respectively) (47).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [47] Holman, 2008, 10-year follow-up of intensive glucose control in type 2 diabetes, N Engl J Med source
Not checked in the free run.
May combine two claims.
Premisecitation§ Cardiovascular Disease and Type 1 DiabetesThe benefit of intensive glycemic control in the type 1 diabetes cohort has been shown to persist for several decades and to be associated with a modest reduction in all-cause mortality.
“The benefit of intensive glycemic control in this cohort with type 1 diabetes has been shown to persist for several decades (55) and to be associated with a modest reduction in all-cause mortality (56).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [55] Nathan, 2009, Modern-day clinical course of type 1 diabetes mellitus after 30 years’ duration: the diabetes control and complications trial/epidemiology of diabetes interventions and complications and Pittsburgh epidemiology of diabetes complications experience (1983-2005), Arch Intern Med source
Not checked in the free run.
- cites [56] Emerging Risk Factors Collaboration, 2015, Association of cardiometabolic multimorbidity with mortality, JAMA source
Not checked in the free run.
May combine two claims.
Premisecitation§ Cardiovascular Disease and Type 2 DiabetesData from the Swedish National Diabetes Registry and the Joint Asia Diabetes Evaluation (JADE) demonstrate greater proportions of people with diabetes being diagnosed at <40 years of age and a demonstrably increased burden of heart disease and years of life lost in people diagnosed at a younger age.
“In addition, data from the Swedish National Diabetes Registry (56) and the Joint Asia Diabetes Evaluation (JADE) demonstrate greater proportions of people with diabetes being diagnosed at <40 years of age and a demonstrably increased burden of heart disease and years of life lost in people diagnosed at a younger age (57)(58)(59)(60).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites (57)(58)(59)(60)
Not checked in the free run.
May combine two claims.
Premisecitation§ Cardiovascular Disease and Type 2 DiabetesDuring the UKPDS, there was a 16% reduction in CVD events (combined fatal or nonfatal MI and sudden death) in the intensive glycemic control arm that did not reach statistical significance (P = 0.052), and there was no suggestion of benefit on other CVD outcomes (e.g., stroke).
“During the UKPDS, there was a 16% reduction in CVD events (combined fatal or nonfatal MI and sudden death) in the intensive glycemic control arm that did not reach statistical significance (P = 0.052), and there was no suggestion of benefit on other CVD outcomes (e.g., stroke).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [45] UK Prospective Diabetes Study (UKPDS) Group, 1998, Effect of intensive blood-glucose control with metformin on complications in overweight patients with type 2 diabetes (UKPDS 34), Lancet source
Not checked in the free run.
- cites [46] UK Prospective Diabetes Study (UKPDS) Group, 1998, Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33), Lancet source
Not checked in the free run.
May combine two claims.
Interpretationcitation§ GLYCEMIC GOALSRandomized clinical trials examining GLP-1 receptor agonists and SGLT2 inhibitors for cardiovascular safety were not designed to test higher versus lower A1C; therefore, beyond post hoc analysis of these trials, we do not have evidence that it is the glucose lowering by these agents that confers the CVD and renal benefit.
“Randomized clinical trials examining these agents for cardiovascular safety were not designed to test higher versus lower A1C; therefore, beyond post hoc analysis of these trials, we do not have evidence that it is the glucose lowering by these agents that confers the CVD and renal benefit (53).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [53] Buse, 2020, Cardiovascular risk reduction with liraglutide: an exploratory mediation analysis of the LEADER trial, Diabetes Care source
Not checked in the free run.
- Rests on an assumption: GLP-1 receptor agonists and SGLT2 inhibitors were not approved at the time of the ACCORD, ADVANCE, and VADT trials.
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone given§ Setting and Modifying A1C GoalsWith longer disease duration, diabetes may become more difficult to control, with increasing risks and burdens of therapy.
“Also, with longer disease duration, diabetes may become more difficult to control, with increasing risks and burdens of therapy.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisecitation§ Setting and Modifying A1C GoalsAn analysis of data from 470 participants in the ADAG study found that the glucose ranges highlighted in Table 6.1 are adequate to meet targets and decrease hypoglycemia.
“An analysis of data from 470 participants in the ADAG study (237 with type 1 diabetes and 147 with type 2 diabetes) found that the glucose ranges highlighted in Table 6.1 are adequate to meet targets and decrease hypoglycemia (14).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [14] Wei, 2014, Empirically establishing blood glucose targets to achieve HbA1c goals, Diabetes Care source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
Interpretationcitation§ Setting and Modifying A1C GoalsRecurrent level 2 hypoglycemia and/or level 3 hypoglycemia is an urgent medical issue and requires intervention with medical treatment plan adjustment, behavioral intervention, and, in some cases, use of technology to assist with hypoglycemia prevention and identification.
“Recurrent level 2 hypoglycemia and/or level 3 hypoglycemia is an urgent medical issue and requires intervention with medical treatment plan adjustment, behavioral intervention, and, in some cases, use of technology to assist with hypoglycemia prevention and identification (76,(79)(80)(81)(82).”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [76] Ghandi, 2021, A comparison of validated methods used to assess impaired awareness of hypoglycaemia in type 1 diabetes: an observational study, Diabetes Ther source
Not checked in the free run.
- cites [79] Amiel, 2022, A parallel randomised controlled trial of the Hypoglycaemia Awareness Restoration Programme for adults with type 1 diabetes and problematic hypoglycaemia despite optimised self-care (HARPdoc), Nat Commun source
Not checked in the free run.
- cites [80] Khunti, 2017, Impact of hypoglycaemia on patient-reported outcomes from a global, 24-country study of 27,585 people with type 1 and insulin-treated type 2 diabetes, Diabetes Res Clin Pract source
Not checked in the free run.
- cites [81] Choudhary, 2018, Hypoglycaemia in type 1 diabetes: technological treatments, their limitations and the place of psychology, Diabetologia source
Not checked in the free run.
- cites [82] Hopkins, 2012, Improved biomedical and psychological outcomes 1 year after structured education in flexible insulin therapy for people with type 1 diabetes: the U.K. DAFNE experience, Diabetes Care source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone given§ Setting and Modifying A1C GoalsHypoglycemia is reversed by administration of rapid-acting glucose or glucagon.
“Hypoglycemia is reversed by administration of rapid-acting glucose or glucagon.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Premisenone given§ Setting and Modifying A1C GoalsHypoglycemia can cause acute harm to the person with diabetes or others, especially if it causes falls, motor vehicle accidents, or other injury.
“Hypoglycemia can cause acute harm to the person with diabetes or others, especially if it causes falls, motor vehicle accidents, or other injury.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Premisecitation§ Setting and Modifying A1C GoalsThese data prompted the revision in the ADA-recommended premeal glucose target to 80-130 mg/dL (4.4-7.2 mmol/L) but did not affect the definition of hypoglycemia.
“These data prompted the revision in the ADArecommended premeal glucose target to 80-130 mg/dL (4.4-7.2 mmol/L) but did not affect the definition of hypoglycemia.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [14] Wei, 2014, Empirically establishing blood glucose targets to achieve HbA1c goals, Diabetes Care source
Not checked in the free run.
Classified as probably not a substantial claim.
Interpretationreasoning§ Setting and Modifying A1C GoalsBecause many people with diabetes demonstrate impaired counterregulatory responses to hypoglycemia and/or experience hypoglycemia unawareness, a measured glucose level <70 mg/dL (3.9 mmol/L) is considered clinically important independent of the severity of acute hypoglycemic symptoms.
“Because many people with diabetes demonstrate impaired counterregulatory responses to hypoglycemia and/or experience hypoglycemia unawareness, a measured glucose level <70 mg/dL (3.9 mmol/L) is considered clinically important (independent of the severity of acute hypoglycemic symptoms).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone given§ Setting and Modifying A1C GoalsLevel 3 hypoglycemia may be recognized or unrecognized and can progress to loss of consciousness, seizure, coma, or death.
“Level 3 hypoglycemia may be recognized or unrecognized and can progress to loss of consciousness, seizure, coma, or death.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone given§ Setting and Modifying A1C GoalsA blood glucose concentration of 70 mg/dL (3.9 mmol/L) has been recognized as a threshold for neuroendocrine responses to falling glucose in people without diabetes.
“A blood glucose concentration of 70 mg/dL (3.9 mmol/L) has been recognized as a threshold for neuroendocrine responses to falling glucose in people without diabetes.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Premisenone given§ Hypoglycemia PreventionBGM and, for some individuals, CGM are essential tools to assess therapy and detect incipient hypoglycemia.
“BGM and, for some individuals, CGM are essential tools to assess therapy and detect incipient hypoglycemia.”
Quote in the paperSubstantial claimMay combine two claims.
Premisecitation§ Hypoglycemia PreventionTeaching people with diabetes to balance insulin use and carbohydrate intake and physical activity are necessary, but these strategies are not always sufficient for prevention.
“Teaching people with diabetes to balance insulin use and carbohydrate intake and physical activity are necessary, but these strategies are not always sufficient for prevention (77,(103)(104)(105).”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [77] Li, 2019, Early hypoglycaemia and adherence after basal insulin initiation in a nationally representative sample of Medicare beneficiaries with type 2 diabetes, Diabetes Obes Metab source
Not checked in the free run.
- cites [103] Stanton-Fay, 2021, The DAFNEplus programme for sustained type 1 diabetes self management: intervention development using the Behaviour Change Wheel, Diabet Med source
Not checked in the free run.
- cites [104] Farrell, 2021, Clinical approaches to treat impaired awareness of hypoglycaemia, Ther Adv Endocrinol Metab source
Not checked in the free run.
- cites [105] Cox, 1994, Long-term follow-up evaluation of blood glucose awareness training, Diabetes Care source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisereasoning§ GlucagonIntranasal glucagon and ready-to-inject glucagon preparations for subcutaneous injection are available and may be beneficial in view of safety, efficacy, and ease of use.
“In addition to traditional glucagon injection powder that requires reconstitution prior to injection, intranasal glucagon and ready-toinject glucagon preparations for subcutaneous injection are available and may be beneficial in view of safety, efficacy, and ease of use.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationcitation§ Setting and Modifying A1C GoalsIndividualized glucose targets, patient education, nutrition intervention, physical activity management, medication adjustment, glucose monitoring, and routine clinical surveillance may improve patient outcomes.
“Individualized glucose targets, patient education, nutrition intervention (e.g., bedtime snack to prevent overnight hypoglycemia when specifically needed to treat low blood glucose), physical activity management, medication adjustment, glucose monitoring, and routine clinical surveillance may improve patient outcomes (94).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [94] Seaquist, 2013, Hypoglycemia and diabetes: a report of a workgroup of the American Diabetes Association and the Endocrine Society, Diabetes Care source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone given§ Hypoglycemia TreatmentAdded fat may retard and then prolong the acute glycemic response.
“Added fat may retard and then prolong the acute glycemic response.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ GlucagonAn individual does not need to be a health care professional to safely administer glucagon.
“An individual does not need to be a health care professional to safely administer glucagon.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationcitation§ Setting and Modifying A1C GoalsFor people with type 1 diabetes with level 3 hypoglycemia and hypoglycemia unawareness that persists despite medical treatment, human islet transplantation may be an option, but the approach remains experimental.
“For people with type 1 diabetes with level 3 hypoglycemia and hypoglycemia unawareness that persists despite medical treatment, human islet transplantation may be an option, but the approach remains experimental (96,97).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [96] Hering, 2016, Phase 3 trial of transplantation of human islets in type 1 diabetes complicated by severe hypoglycemia, Diabetes Care source
Not checked in the free run.
- cites [97] Harlan, 2016, Islet transplantation for hypoglycemia unawareness/severe hypoglycemia: caveat emptor, Diabetes Care source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ Hypoglycemia PreventionHypoglycemia may increase the risk of harm to self or others, such as when driving.
“Hypoglycemia may increase the risk of harm to self or others, such as when driving.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone given§ GlucagonThe use of glucagon is indicated for the treatment of hypoglycemia in people unable or unwilling to consume carbohydrates by mouth.
“The use of glucagon is indicated for the treatment of hypoglycemia in people unable or unwilling to consume carbohydrates by mouth.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone given§ Hypoglycemia PreventionHypoglycemia unawareness syndrome is characterized by deficient counterregulatory hormone release, especially in older adults, and a diminished autonomic response, which are both risk factors for and caused by hypoglycemia.
“This syndrome is characterized by deficient counterregulatory hormone release, especially in older adults, and a diminished autonomic response, which are both risk factors for and caused by hypoglycemia.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone given§ Hypoglycemia PreventionRegardless of the factors contributing to hypoglycemia and hypoglycemia unawareness, this represents an urgent medical issue requiring intervention.
“Regardless of the factors contributing to hypoglycemia and hypoglycemia unawareness, this represents an urgent medical issue requiring intervention.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Interpretationcitation§ Hypoglycemia PreventionIndividuals with one or more episodes of clinically significant hypoglycemia may benefit from at least short-term relaxation of glycemic targets and availability of glucagon.
“Hence, individuals with one or more episodes of clinically significant hypoglycemia may benefit from at least short-term relaxation of glycemic targets and availability of glucagon (107).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [107] Mitchell, 2016, Glucagon prescription patterns in patients with either type 1 or 2 diabetes with newly prescribed insulin, Endocr Pract source
Not checked in the free run.
May combine two claims.
Premisenone given§ Use of CGM Technology in Hypoglycemia PreventionTo date, there have been a number of randomized controlled trials in adults with type 1 diabetes and studies in adults and children with type 1 diabetes using real-time CGM.
“To date, there have been a number of randomized controlled trials in adults with type 1 diabetes and studies in adults and children with type 1 diabetes using realtime CGM (see Section 7, “Diabetes Technology”).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationreasoning§ Use of CGM Technology in Hypoglycemia PreventionThese CGM studies had differing A1C at entry and differing primary end points and thus must be interpreted carefully.
“These studies had differing A1C at entry and differing primary end points and thus must be interpreted carefully.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisenone given§ INTERCURRENT ILLNESSStressful events (e.g., illness, trauma, surgery) may worsen glycemic control and precipitate diabetic ketoacidosis or nonketotic hyperglycemic hyperosmolar state, life-threatening conditions that require immediate medical care to prevent complications and death.
“Stressful events (e.g., illness, trauma, surgery) may worsen glycemic control and precipitate diabetic ketoacidosis or nonketotic hyperglycemic hyperosmolar state, life-threatening conditions that require immediate medical care to prevent complications and death.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisecitation§ Use of CGM Technology in Hypoglycemia PreventionIn a single study using intermittently scanned CGM, adults with type 1 diabetes with A1C near goal and impaired awareness of hypoglycemia demonstrated no change in A1C and decreased level 2 hypoglycemia.
“In a single study using intermittently scanned CGM, adults with type 1 diabetes with A1C near goal and impaired awareness of hypoglycemia demonstrated no change in A1C and decreased level 2 hypoglycemia (115).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [115] Reddy, 2018, A randomized controlled pilot study of continuous glucose monitoring and flash glucose monitoring in people with Type 1 diabetes and impaired awareness of hypoglycaemia, Diabet Med source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone given§ INTERCURRENT ILLNESSInfection or dehydration are more likely to necessitate hospitalization of individuals with diabetes versus those without diabetes.
“Infection or dehydration are more likely to necessitate hospitalization of individuals with diabetes versus those without diabetes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisenone given§ INTERCURRENT ILLNESSAny condition leading to deterioration in glycemic control necessitates more frequent monitoring of blood glucose; ketosis-prone patients also require urine or blood ketone monitoring.
“Any condition leading to deterioration in glycemic control necessitates more frequent monitoring of blood glucose; ketosis-prone patients also require urine or blood ketone monitoring.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Premisenone given§ INTERCURRENT ILLNESSIf accompanied by ketosis, vomiting, or alteration in the level of consciousness, marked hyperglycemia requires temporary adjustment of the treatment plan and immediate interaction with the diabetes care team.
“If accompanied by ketosis, vomiting, or alteration in the level of consciousness, marked hyperglycemia requires temporary adjustment of the treatment plan and immediate interaction with the diabetes care team.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone given§ INTERCURRENT ILLNESSThe patient treated with noninsulin therapies or medical nutrition therapy alone may require insulin.
“The patient treated with noninsulin therapies or medical nutrition therapy alone may require insulin.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
A1C reflects average glycemia over approximately 3 months.
“A1C reflects average glycemia over approximately 3 months.”
The paper relies on this without support.
The A1C test is an indirect measure of average glycemia and is subject to limitations.
“The A1C test is an indirect measure of average glycemia and, as such, is subject to limitations.”
The paper relies on this without support.
A1C does not provide a measure of glycemic variability or hypoglycemia.
“A1C does not provide a measure of glycemic variability or hypoglycemia.”
The paper relies on this without support.
A1C assays are available that do not demonstrate a statistically significant difference in individuals with hemoglobin variants.
“A1C assays are available that do not demonstrate a statistically significant difference in individuals with hemoglobin variants.”
The paper relies on this without support.
Other A1C assays have statistically significant interference, but the difference is not clinically significant.
“Other assays have statistically significant interference, but the difference is not clinically significant.”
The paper relies on this without support.
GLP-1 receptor agonists and SGLT2 inhibitors were not approved at the time of the ACCORD, ADVANCE, and VADT trials.
“glucagon-like peptide 1 (GLP-1) receptor agonists and sodium-glucose cotransporter 2 (SGLT2) inhibitors were not approved at the time of these trials.”
The paper relies on this without support.
Diabetes is a chronic disease that progresses over decades.
“Diabetes is a chronic disease that progresses over decades.”
The paper relies on this without support.
Postprandial hyperglycemia contributes to elevated A1C levels, with its relative contribution being greater at A1C levels closer to 7%.
“It is clear that postprandial hyperglycemia, like preprandial hyperglycemia, contributes to elevated A1C levels, with its relative contribution being greater at A1C levels that are closer to 7% (53 mmol/mol).”
The paper relies on this without support.
Hypoglycemia is the major limiting factor in the glycemic management of type 1 and type 2 diabetes.
“Hypoglycemia is the major limiting factor in the glycemic management of type 1 and type 2 diabetes.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Habit formation usually takes 2-3 months, and significant HbA1c changes require at least 3 months.
“This can be because habit formation usually takes 2-3 months [86], and significant HbA1c changes require at least 3 months [87].”
From Digital Health Interventions to Prevent Type 2 Diabetes Mellitus: Systematic Review (2025) · cites this paper as [87]
The citation [87] applies only to the HbA1c clause, not the separate habit-formation claim [86]. The Correlation Between BGM and A1C section discusses A1C as a measure of average glucose, and Table 6.1 describes glucose readings collected over three months per A1C measurement. Neither establishes that a significant HbA1c change requires at least three months; that minimum is unsupported. (LLM, conf=0.83)
Experimental — accuracy not yet measuredAchievement of acceptable levels of glycemia is critical to avoid the acute and long-term complications associated with T2DM.
“One of the critical goals of modern diabetes management remains the achievement of acceptable levels of glycemia to avoid the acute and long-term complications associated with T2DM [9].”
From Digital Interventions for Self-Management of Type 2 Diabetes Mellitus: Systematic Literature Review and Meta-Analysis (2024) · cites this paper as [9]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Reference number 21 is assigned to two different studies
MinorThe reference list assigns number 21 to both a study of glucose concentrations in children with type 1 diabetes and a different study of diabetes screening in a middle-school cohort, making citations to (21) ambiguous.
“21. Diabetes Research in Children Network (DirecNet) Study Group. Relationship of A1C to glucose concentrations in children with type 1 diabetes: assessments by high-frequency glucose determinations by sensors.”
“21. Buse JB, Kaufman FR, Linder B, Hirst K, El Ghormli L; HEALTHY Study Group. Diabetes screening with hemoglobin A(1c) versus fasting plasma glucose in a multiethnic middle-school cohort.”
Cites
(1993) · New England Journal of Medicine · doi:10.1056/nejm199309303291401 · Cited by 24,667 · see citing works
Stratton, I. M. (2000) · BMJ · doi:10.1136/bmj.321.7258.405 · Cited by 9,059 · see citing works
Effects of Intensive Glucose Lowering in Type 2 Diabetes
(2008) · New England Journal of Medicine · doi:10.1056/nejmoa0802743 · Cited by 7,888 · see citing works
10-year follow-up of intensive glucose control in type 2 diabetes
Holman, R. R., Paul, S. K., Bethel, M. A., Matthews, D. R., & Neil, H. A. W. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0806470 · Cited by 7,751 · see citing works
Intensive blood glucose control and vascular outcomes in patients with type 2 diabetes
(2008) · New England Journal of Medicine · doi:10.1056/nejmoa0802987 · Cited by 7,397 · see citing works
Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes
(2005) · New England Journal of Medicine · doi:10.1056/nejmoa052187 · Cited by 5,138 · see citing works
Glucose control and vascular complications in veterans with type 2 diabetes
Duckworth, W., Abraira, C., Moritz, T., Reda, D., Emanuele, N., Reaven, P. D., Zieve, F. J., Marks, J., Davis, S. N., Hayward, R., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0808431 · Cited by 4,762 · see citing works
Battelino, T., Danne, T., Bergenstal, R. M., Amiel, S. A., Beck, R., Biester, T., Bosi, E., Buckingham, B. A., Cefalu, W. T., Close, K. L., et al. (2019) · Diabetes Care · doi:10.2337/dci19-0028 · Cited by 4,032 · see citing works
Gupta, A., & Uribarri, J. (2016) · Hormone Research in Paediatrics · doi:10.1159/000444053 · Cited by 4,019 · see citing works
Davies, M. J., D’Alessio, D. A., Fradkin, J., Kernan, W. N., Mathieu, C., Mingrone, G., Rossing, P., Tsapas, A., Wexler, D. J., & Buse, J. B. (2018) · Diabetes Care · doi:10.2337/dci18-0033 · Cited by 3,518 · see citing works
Ohkubo, Y., Kishikawa, H., Araki, E., Miyata, T., Isami, S., Motoyoshi, S., Kojima, Y., Furuyoshi, N., & Shichiri, M. (1995) · Diabetes Research and Clinical Practice · doi:10.1016/0168-8227(95)01064-k · Cited by 3,079 · see citing works
Inzucchi, S. E., Bergenstal, R. M., Buse, J. B., Diamant, M., Ferrannini, E., Nauck, M., Peters, A. L., Tsapas, A., Wender, R., & Matthews, D. R. (2015) · Diabetes Care · doi:10.2337/dc14-2441 · Cited by 3,066 · see citing works
Hyperglycemic crises in adult patients with diabetes
Kitabchi, A. E., Umpierrez, G. E., Miles, J. M., & Fisher, J. N. (2009) · Diabetes Care · doi:10.2337/dc09-9032 · Cited by 2,062 · see citing works
Translating the A1C assay into estimated average glucose values
Nathan, D. M., Kuenen, J., Borg, R., Zheng, H., Schoenfeld, D., Heine, R. J., & for the A1c-Derived Average Glucose (ADAG) Study Group (2008) · Diabetes Care · doi:10.2337/dc08-0545 · Cited by 1,812 · see citing works
Continuous glucose monitoring and intensive treatment of type 1 diabetes
(2008) · New England Journal of Medicine · doi:10.1056/nejmoa0805017 · Cited by 1,559 · see citing works
(2000) · New England Journal of Medicine · doi:10.1056/nejm200002103420603 · Cited by 1,534 · see citing works
Severe hypoglycemia and risks of vascular events and death
Zoungas, S., Patel, A., Chalmers, J., de Galan, B. E., Li, Q., Billot, L., Woodward, M., Ninomiya, T., Neal, B., MacMahon, S., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1003795 · Cited by 1,471 · see citing works
Ismail-Beigi, F., Craven, T., Banerji, M. A., Basile, J., Calles, J., Cohen, R. M., Cuddihy, R., Cushman, W. C., Genuth, S., Grimm, R. H., et al. (2010) · The Lancet · doi:10.1016/s0140-6736(10)60576-4 · Cited by 1,428 · see citing works
KDIGO 2020 Clinical practice guideline for diabetes management in chronic kidney disease
de Boer, I. H., Caramori, M. L., Chan, J. C. N., Heerspink, H. J. L., Hurst, C., Khunti, K., Liew, A., Michos, E. D., Navaneethan, S. D., Olowu, W. A., et al. (2020) · Kidney International · doi:10.1016/j.kint.2020.06.019 · Cited by 1,399 · see citing works
Self-citationSeaquist, E. R., Anderson, J., Childs, B., Cryer, P., Dagogo-Jack, S., Fish, L., Heller, S. R., Rodriguez, H., Rosenzweig, J., & Vigersky, R. (2013) · Diabetes Care · doi:10.2337/dc12-2480 · Cited by 1,389 · see citing works
Intensive glucose control and macrovascular outcomes in type 2 diabetes
Turnbull, F. M., Abraira, C., Anderson, R. J., Byington, R. P., Chalmers, J. P., Duckworth, W. C., Evans, G. W., Gerstein, H. C., Holman, R. R., Moritz, T. E., et al. (2009) · Diabetologia · doi:10.1007/s00125-009-1470-0 · Cited by 1,189 · see citing works
Beck, R. W., Riddlesworth, T., Ruedy, K., Ahmann, A., Bergenstal, R., Haller, S., Kollman, C., Kruger, D., McGill, J. B., Polonsky, W., et al. (2017) · JAMA · doi:10.1001/jama.2016.19975 · Cited by 1,185 · see citing works
Association of cardiometabolic multimorbidity with mortality
Di Angelantonio, E., Kaptoge, S., Wormser, D., Willeit, P., Butterworth, A. S., Bansal, N., O’Keeffe, L. M., Gao, P., Wood, A. M., Burgess, S., et al. (2015) · JAMA · doi:10.1001/jama.2015.7008 · Cited by 1,155 · see citing works
Hypoglycemic episodes and risk of dementia in older patients with type 2 diabetes mellitus
Whitmer, R. A. (2009) · JAMA · doi:10.1001/jama.2009.460 · Cited by 1,128 · see citing works
Bolinder, J., Antuna, R., Geelhoed-Duijvestijn, P., Kröger, J., & Weitgasser, R. (2016) · The Lancet · doi:10.1016/s0140-6736(16)31535-5 · Cited by 893 · see citing works
Skyler, J. S., Bergenstal, R., Bonow, R. O., Buse, J., Deedwania, P., Gale, E. A. M., Howard, B. V., Kirkman, M. S., Kosiborod, M., Reaven, P., et al. (2009) · Diabetes Care · doi:10.2337/dc08-9026 · Cited by 881 · see citing works
Holt, R. I. G., DeVries, J. H., Hess-Fischl, A., Hirsch, I. B., Kirkman, M. S., Klupa, T., Ludwig, B., Nørgaard, K., Pettus, J., Renard, E., et al. (2021) · Diabetes Care · doi:10.2337/dci21-0043 · Cited by 699 · see citing works
Follow-up of glycemic control and cardiovascular outcomes in type 2 diabetes
Hayward, R. A., Reaven, P. D., Wiitala, W. L., Bahn, G. D., Reda, D. J., Ge, L., McCarren, M., Duckworth, W. C., & Emanuele, N. V. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1414266 · Cited by 668 · see citing works
(2009) · Archives of Internal Medicine · doi:10.1001/archinternmed.2009.193 · Cited by 653 · see citing works
Threshold-based insulin-pump interruption for reduction of hypoglycemia
Bergenstal, R. M., Klonoff, D. C., Garg, S. K., Bode, B. W., Meredith, M., Slover, R. H., Ahmann, A. J., Welsh, J. B., Lee, S. W., & Kaufman, F. R. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1303576 · Cited by 652 · see citing works
Long-term effect of diabetes and its treatment on cognitive function
(2007) · New England Journal of Medicine · doi:10.1056/nejmoa066397 · Cited by 646 · see citing works
Hering, B. J., Clarke, W. R., Bridges, N. D., Eggerman, T. L., Alejandro, R., Bellin, M. D., Chaloner, K., Czarniecki, C. W., Goldstein, J. S., Hunsicker, L. G., et al. (2016) · Diabetes Care · doi:10.2337/dc15-1988 · Cited by 645 · see citing works
Beck, R. W., Riddlesworth, T. D., Ruedy, K., Ahmann, A., Haller, S., Kruger, D., McGill, J. B., Polonsky, W., Price, D., Aronoff, S., et al. (2017) · Annals of Internal Medicine · doi:10.7326/m16-2855 · Cited by 635 · see citing works
Follow-up of blood-pressure lowering and glucose control in type 2 diabetes
Zoungas, S., Chalmers, J., Neal, B., Billot, L., Li, Q., Hirakawa, Y., Arima, H., Monaghan, H., Joshi, R., Colagiuri, S., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1407963 · Cited by 626 · see citing works
Haak, T., Hanaire, H., Ajjan, R., Hermanns, N., Riveline, J.-P., & Rayman, G. (2017) · Diabetes Therapy · doi:10.1007/s13300-016-0223-6 · Cited by 623 · see citing works
Laiteerapong, N., Ham, S. A., Gao, Y., Moffet, H. H., Liu, J. Y., Huang, E. S., & Karter, A. J. (2019) · Diabetes Care · doi:10.2337/dc17-1144 · Cited by 574 · see citing works
Sattar, N., Rawshani, A., Franzén, S., Rawshani, A., Svensson, A.-M., Rosengren, A., McGuire, D. K., Eliasson, B., & Gudbjörnsdottir, S. (2019) · Circulation · doi:10.1161/circulationaha.118.037885 · Cited by 555 · see citing works
Deiss, D., Bolinder, J., Riveline, J.-P., Battelino, T., Bosi, E., Tubiana-Rufi, N., Kerr, D., & Phillip, M. (2006) · Diabetes Care · doi:10.2337/dc06-1134 · Cited by 539 · see citing works
Increased mortality of patients with diabetes reporting severe hypoglycemia
McCoy, R. G., Van Houten, H. K., Ziegenfuss, J. Y., Shah, N. D., Wermers, R. A., & Smith, S. A. (2012) · Diabetes Care · doi:10.2337/dc11-2054 · Cited by 539 · see citing works
Heinemann, L., Freckmann, G., Ehrmann, D., Faber-Heinemann, G., Guerra, S., Waldenmaier, D., & Hermanns, N. (2018) · The Lancet · doi:10.1016/s0140-6736(18)30297-6 · Cited by 522 · see citing works
for the ADVANCE Collaborative group, Zoungas, S., Woodward, M., Li, Q., Cooper, M. E., Hamet, P., Harrap, S. B., Heller, S. R., Marre, M., Patel, A. A., et al. (2014) · Diabetologia · doi:10.1007/s00125-014-3369-7 · Cited by 498 · see citing works
the SWITCH Study Group, Battelino, T., Conget, I., Olsen, B., Schütz-Fuhrmann, I., Hommel, E., Hoogma, R., Schierloh, U., Sulli, N., & Bolinder, J. (2012) · Diabetologia · doi:10.1007/s00125-012-2708-9 · Cited by 494 · see citing works
Effect of Continuous Glucose Monitoring on Hypoglycemia in Type 1 Diabetes
Battelino, T., Phillip, M., Bratina, N., Nimri, R., Oskarsson, P., & Bolinder, J. (2011) · Diabetes Care · doi:10.2337/dc10-1989 · Cited by 490 · see citing works
The relationships between time in range, hyperglycemia metrics, and HbA1c
Beck, R. W., Bergenstal, R. M., Cheng, P., Kollman, C., Carlson, A. L., Johnson, M. L., & Rodbard, D. (2019) · Journal of Diabetes Science and Technology · doi:10.1177/1932296818822496 · Cited by 479 · see citing works
The fallacy of average: how using HbA1c alone to assess glycemic control can be misleading
Beck, R. W., Connor, C. G., Mullen, D. M., Wesley, D. M., & Bergenstal, R. M. (2017) · Diabetes Care · doi:10.2337/dc17-0636 · Cited by 477 · see citing works
The relationship of hemoglobin A1C to time-in-range in patients with diabetes
Vigersky, R. A., & McMahon, C. (2019) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2018.0310 · Cited by 464 · see citing works
Association, A. D. (2001) · Diabetes Care · doi:10.2337/diacare.24.4.775 · Cited by 464 · see citing works
Improvement in Glycemic Excursions With a Transcutaneous, Real-Time Continuous Glucose Sensor
Garg, S. K., Zisser, H., Schwartz, S. L., Bailey, T. S., Kaplan, R. A., Ellis, S. L., & Jovanovič, L. (2006) · Diabetes Care · doi:10.2337/diacare.29.01.06.dc05-1686 · Cited by 429 · see citing works
Diverse causes of hypoglycemia-associated autonomic failure in diabetes.
Cryer, P. E. (2004) · New England Journal of Medicine · doi:10.1056/nejmra031354 · Cited by 411 · see citing works
Potential overtreatment of diabetes mellitus in older adults with tight glycemic control
Lipska, K. J., Ross, J. S., Miao, Y., Shah, N. D., Lee, S. J., & Steinman, M. A. (2015) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2014.7345 · Cited by 408 · see citing works
Wheeler, E., Leong, A., Liu, C.-T., Hivert, M.-F., Strawbridge, R. J., Podmore, C., Li, M., Yao, J., Sim, X., Hong, J., et al. (2017) · PLOS Medicine · doi:10.1371/journal.pmed.1002383 · Cited by 408 · see citing works
The effect of continuous glucose monitoring in well-controlled type 1 diabetes
Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group (2009) · Diabetes Care · doi:10.2337/dc09-0108 · Cited by 399 · see citing works
Agiostratidou, G., Anhalt, H., Ball, D., Blonde, L., Gourgari, E., Harriman, K. N., Kowalski, A. J., Madden, P., McAuliffe-Fogarty, A. H., McElwee-Malloy, M., et al. (2017) · Diabetes Care · doi:10.2337/dc17-1624 · Cited by 397 · see citing works
van Beers, C. A. J., DeVries, J. H., Kleijer, S. J., Smits, M. M., Geelhoed-Duijvestijn, P. H., Kramer, M. H. H., Diamant, M., Snoek, F. J., & Serné, E. H. (2016) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(16)30193-0 · Cited by 386 · see citing works
Pratley, R. E., Kanapka, L. G., Rickels, M. R., Ahmann, A., Aleppo, G., Beck, R., Bhargava, A., Bode, B. W., Carlson, A., Chaytor, N. S., et al. (2020) · JAMA · doi:10.1001/jama.2020.6928 · Cited by 375 · see citing works
Self-citationLittle, R. R., Rohlfing, C. L., & Sacks, D. B. (2011) · Clinical Chemistry · doi:10.1373/clinchem.2010.148841 · Cited by 365 · see citing works
Raz, I., Wilson, P. W. F., Strojek, K., Kowalska, I., Bozikov, V., Gitt, A. K., Jermendy, G., Campaigne, B. N., Kerr, L., Milicevic, Z., et al. (2009) · Diabetes Care · doi:10.2337/dc08-1671 · Cited by 351 · see citing works
Poor Cognitive Function and Risk of Severe Hypoglycemia in Type 2 Diabetes
Punthakee, Z., Miller, M. E., Launer, L. J., Williamson, J. D., Lazar, R. M., Cukierman-Yaffee, T., Seaquist, E. R., Ismail-Beigi, F., Sullivan, M. D., Lovato, L. C., et al. (2012) · Diabetes Care · doi:10.2337/dc11-1855 · Cited by 337 · see citing works
The Diabetes Control and Complications Trial (DCCT)/Epidemiology of Diabetes Interventions and Complications (EDIC) Research Group (2015) · Diabetes · doi:10.2337/db14-0930 · Cited by 333 · see citing works
Bergenstal, R. M., Gal, R. L., Connor, C. G., Gubitosi-Klug, R., Kruger, D., Olson, B. A., Willi, S. M., Aleppo, G., Weinstock, R. S., Wood, J., et al. (2017) · Annals of Internal Medicine · doi:10.7326/m16-2596 · Cited by 306 · see citing works
Self-citationYeung, R. O., Zhang, Y., Luk, A., Yang, W., Sobrepena, L., Yoon, K.-H., Aravind, S. R., Sheu, W., Nguyen, T. K., Ozaki, R., et al. (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(14)70137-8 · Cited by 296 · see citing works
Hopkins, D., Lawrence, I., Mansell, P., Thompson, G., Amiel, S., Campbell, M., & Heller, S. (2012) · Diabetes Care · doi:10.2337/dc11-1579 · Cited by 265 · see citing works
Reddy, M., Jugnee, N., El Laboudi, A., Spanudakis, E., Anantharaja, S., & Oliver, N. (2018) · Diabetic Medicine · doi:10.1111/dme.13561 · Cited by 245 · see citing works
Yoo, H. J., An, H. G., Park, S. Y., Ryu, O. H., Kim, H. Y., Seo, J. A., Hong, E. G., Shin, D. H., Kim, Y. H., Kim, S. G., et al. (2008) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2008.06.015 · Cited by 244 · see citing works
Šoupal, J., Petruželková, L., Grunberger, G., Hásková, A., Flekač, M., Matoulek, M., Mikeš, O., Pelcl, T., Škrha, J., Horová, E., et al. (2020) · Diabetes Care · doi:10.2337/dc19-0888 · Cited by 242 · see citing works
Tchero, H., Kangambega, P., Briatte, C., Brunet-Houdard, S., Retali, G.-R., & Rusch, E. (2019) · Telemedicine and e-Health · doi:10.1089/tmj.2018.0128 · Cited by 239 · see citing works
Ludvigsson, J., & Hanås, R. (2003) · PEDIATRICS · doi:10.1542/peds.111.5.933 · Cited by 227 · see citing works
Time in Range Is Associated with Carotid Intima-Media Thickness in Type 2 Diabetes
Lu, J., Ma, X., Shen, Y., Wu, Q. E., Wang, R., Zhang, L., Mo, Y., Lu, W., Zhu, W., Bao, Y., et al. (2019) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2019.0251 · Cited by 227 · see citing works
Lee, A. K., Warren, B., Lee, C. J., McEvoy, J. W., Matsushita, K., Huang, E. S., Sharrett, A. R., Coresh, J., & Selvin, E. (2018) · Diabetes Care · doi:10.2337/dc17-1669 · Cited by 226 · see citing works
O’Connell, M. A., Donath, S. M., O'Neal, D. N., Colman, P. G., Ambler, G. R., Jones, T. W., Davis, E. A., & Cameron, F. J. (2009) · Diabetologia · doi:10.1007/s00125-009-1365-0 · Cited by 210 · see citing works
Ehrhardt, N. M., Chellappa, M., Walker, M. S., Fonda, S. J., & Vigersky, R. A. (2011) · Journal of Diabetes Science and Technology · doi:10.1177/193229681100500320 · Cited by 199 · see citing works
Vijan, S., Sussman, J. B., Yudkin, J. S., & Hayward, R. A. (2014) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2014.2894 · Cited by 185 · see citing works
Lind, M., Pivodic, A., Svensson, A.-M., Ólafsdóttir, A. F., Wedel, H., & Ludvigsson, J. (2019) · BMJ · doi:10.1136/bmj.l4894 · Cited by 175 · see citing works
Buse, J. B., Bain, S. C., Mann, J. F. E., Nauck, M. A., Nissen, S. E., Pocock, S., Poulter, N. R., Pratley, R. E., Linder, M., Monk Fries, T., et al. (2020) · Diabetes Care · doi:10.2337/dc19-2251 · Cited by 175 · see citing works
Self-citationDeshmukh, H., Wilmot, E. G., Gregory, R., Barnes, D., Narendran, P., Saunders, S., Furlong, N., Kamaruddin, S., Banatwalla, R., Herring, R., et al. (2020) · Diabetes Care · doi:10.2337/dc20-0738 · Cited by 175 · see citing works
Positioning time in range in diabetes management
Advani, A. (2020) · Diabetologia · doi:10.1007/s00125-019-05027-0 · Cited by 170 · see citing works
Mayeda, L., Katz, R., Ahmad, I., Bansal, N., Batacchi, Z., Hirsch, I. B., Robinson, N., Trence, D. L., Zelnick, L., & de Boer, I. H. (2020) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2019-000991 · Cited by 162 · see citing works
Messer, L. H., Berget, C., Vigers, T., Pyle, L. L., Geno, C. R., Wadwa, R. P., Driscoll, K. A., & Forlenza, G. P. (2019) · Pediatric Diabetes · doi:10.1111/pedi.12971 · Cited by 161 · see citing works
Duckworth, W. C., Abraira, C., Moritz, T. E., Davis, S. N., Emanuele, N., Goldman, S., Hayward, R., Huang, G. D., Marks, J. B., Reaven, P. D., et al. (2011) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2011.10.003 · Cited by 152 · see citing works
Long-term follow-up evaluation of blood glucose awareness training
Cox, D. J., Gonder-Frederick, L., Julian, D. M., & Clarke, W. (1994) · Diabetes Care · doi:10.2337/diacare.17.1.1 · Cited by 143 · see citing works
Protein in optimal health: heart disease and type 2 diabetes
Layman, D. K., Clifton, P., Gannon, M. C., Krauss, R. M., & Nuttall, F. Q. (2008) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/87.5.1571s · Cited by 142 · see citing works
Association of Sickle Cell Trait With Hemoglobin A<sub>1c</sub> in African Americans
Lacy, M. E., Wellenius, G. A., Sumner, A. E., Correa, A., Carnethon, M. R., Liem, R. I., Wilson, J. G., Sacks, D. B., Jacobs, D. R., Carson, A. P., et al. (2017) · JAMA · doi:10.1001/jama.2016.21035 · Cited by 141 · see citing works
Clinical inertia—time to reappraise the terminology?
Khunti, K., & Davies, M. J. (2017) · Primary Care Diabetes · doi:10.1016/j.pcd.2017.01.007 · Cited by 121 · see citing works
Self-citationLee, A. K., Lee, C. J., Huang, E. S., Sharrett, A. R., Coresh, J., & Selvin, E. (2017) · Diabetes Care · doi:10.2337/dc17-0819 · Cited by 119 · see citing works
Relationship of A1C to Glucose Concentrations in Children With Type 1 Diabetes
Diabetes Research in Children Network (DirecNet) Study Group (2008) · Diabetes Care · doi:10.2337/dc07-1835 · Cited by 115 · see citing works
Empirically establishing blood glucose targets to achieve HbA1c goals
Wei, N., Zheng, H., & Nathan, D. M. (2014) · Diabetes Care · doi:10.2337/dc13-2173 · Cited by 105 · see citing works
Yoo, J. H., Choi, M. S., Ahn, J., Park, S. W., Kim, Y., Hur, K. Y., Jin, S., Kim, G., & Kim, J. H. (2020) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2019.0499 · Cited by 102 · see citing works
Tumminia, A., Crimi, S., Sciacca, L., Buscema, M., Frittitta, L., Squatrito, S., Vigneri, R., & Tomaselli, L. (2015) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2557 · Cited by 100 · see citing works
Seidu, S., Kunutsor, S. K., Topsever, P., Hambling, C. E., Cos, F. X., & Khunti, K. (2019) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.13724 · Cited by 97 · see citing works
Self-citationRacial Disparity in A1C Independent of Mean Blood Glucose in Children With Type 1 Diabetes
Kamps, J. L., Hempe, J. M., & Chalew, S. A. (2010) · Diabetes Care · doi:10.2337/dc09-1440 · Cited by 96 · see citing works
Selvin, E. (2016) · Diabetes Care · doi:10.2337/dc16-0042 · Cited by 96 · see citing works
Bergenstal, R. M., Johnson, M., Passi, R., Bhargava, A., Young, N., Kruger, D. F., Bashan, E., Bisgaier, S. G., Isaman, D. J. M., & Hodish, I. (2019) · The Lancet · doi:10.1016/s0140-6736(19)30368-x · Cited by 88 · see citing works
New, J. P., Ajjan, R., Pfeiffer, A. F. H., & Freckmann, G. (2015) · Diabetic Medicine · doi:10.1111/dme.12713 · Cited by 81 · see citing works
Surveillance of hypoglycemia-limitations of emergency department and hospital utilization data
Karter, A. J., Moffet, H. H., Liu, J. Y., & Lipska, K. J. (2018) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2018.1014 · Cited by 73 · see citing works
Ranjan, A. G., Rosenlund, S. V., Hansen, T. W., Rossing, P., Andersen, S., & Nørgaard, K. (2020) · Diabetes Care · doi:10.2337/dc20-0909 · Cited by 72 · see citing works
Khunti, K., Alsifri, S., Aronson, R., Cigrovski Berković, M., Enters-Weijnen, C., Forsén, T., Galstyan, G., Geelhoed-Duijvestijn, P., Goldfracht, M., Gydesen, H., et al. (2017) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2017.05.004 · Cited by 71 · see citing works
Self-citationBuse, J. B., KAUFMAN, F. R., Linder, B. L., Hirst, K., ghormli, L. K. E., Willi, S. M., & for the HEALTHY Study Group (2012) · Diabetes Care · doi:10.2337/dc12-0295 · Cited by 67 · see citing works
Hermanns, N., Heinemann, L., Freckmann, G., Waldenmaier, D., & Ehrmann, D. (2019) · Journal of Diabetes Science and Technology · doi:10.1177/1932296819831695 · Cited by 66 · see citing works
Riddlesworth, T., Price, D., Cohen, N., & Beck, R. W. (2017) · Diabetes Therapy · doi:10.1007/s13300-017-0281-4 · Cited by 65 · see citing works
Amiel, S. A., Potts, L., Goldsmith, K., Jacob, P., Smith, E. L., Gonder-Frederick, L., Heller, S., Toschi, E., Brooks, A., Kariyawasam, D., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-29488-x · Cited by 61 · see citing works
Frequent monitoring of A1c during pregnancy as a treatment tool to guide therapy
Jovanovič, L., Savas, H., Mehta, M., Trujillo, A., & Pettitt, D. J. (2011) · Diabetes Care · doi:10.2337/dc10-1455 · Cited by 60 · see citing works
Continuous glucose monitoring pilot in low-income type 1 diabetes patients
Sequeira, P. A., Montoya, L., Ruelas, V., Xing, D., Chen, V., Beck, R., & Peters, A. L. (2013) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2013.0072 · Cited by 59 · see citing works
McTavish, L., & Wiltshire, E. (2011) · Pediatric Diabetes · doi:10.1111/j.1399-5448.2010.00725.x · Cited by 58 · see citing works
Fabris, C., Heinemann, L., Beck, R., Cobelli, C., & Kovatchev, B. (2020) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2020.0236 · Cited by 58 · see citing works
Karter, A. J., Lipska, K. J., O’Connor, P. J., Liu, J. Y., Moffet, H. H., Schroeder, E. B., Lawrence, J. M., Nichols, G. A., Newton, K. M., Pathak, R. D., et al. (2017) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2017.02.009 · Cited by 53 · see citing works
Choudhary, P., & Amiel, S. A. (2018) · Diabetologia · doi:10.1007/s00125-018-4566-6 · Cited by 52 · see citing works
Clinical recommendations for the use of the ambulatory glucose profile in diabetes care
Kröger, J., Reichel, A., Siegmund, T., & Ziegler, R. (2020) · Journal of Diabetes Science and Technology · doi:10.1177/1932296819883032 · Cited by 51 · see citing works
Mitchell, B. D., He, X., Sturdy, I. M., Cagle, A. P., & Settles, J. A. (2016) · Endocrine Practice · doi:10.4158/ep15831.or · Cited by 46 · see citing works
Hendrieckx, C., Ivory, N., Singh, H., Frier, B. M., & Speight, J. (2019) · Diabetic Medicine · doi:10.1111/dme.14067 · Cited by 46 · see citing works
Dicembrini, I., Mannucci, E., Monami, M., & Pala, L. (2019) · Diabetes Obesity and Metabolism · doi:10.1111/dom.13845 · Cited by 46 · see citing works
Zabala, A., Darsalia, V., Holzmann, M. J., Franzén, S., Svensson, A., Eliasson, B., Patrone, C., Nyström, T., & Jonsson, M. (2019) · Diabetes Obesity and Metabolism · doi:10.1111/dom.13885 · Cited by 41 · see citing works
Avari, P., Uduku, C., George, D., Herrero, P., Reddy, M., & Oliver, N. (2020) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2019.0276 · Cited by 40 · see citing works
Khosla, L., Bhat, S., Fullington, L. A., & Horlyck-Romanovsky, M. F. (2021) · Preventing Chronic Disease · doi:10.5888/pcd18.200365 · Cited by 40 · see citing works
Hermanns, N., Schumann, B., Kulzer, B., & Haak, T. (2014) · Journal of Diabetes Science and Technology · doi:10.1177/1932296814524105 · Cited by 39 · see citing works
Prabhu Navis, J., Leelarathna, L., Mubita, W., Urwin, A., Rutter, M. K., Schofield, J., & Thabit, H. (2021) · Acta Diabetologica · doi:10.1007/s00592-020-01614-5 · Cited by 39 · see citing works
Hypoglycemia in older adults with type 1 diabetes
DuBose, S. N., Weinstock, R. S., Beck, R. W., Peters, A. L., Aleppo, G., Bergenstal, R. M., Rodriguez, H., Largay, J. F., Massaro, E. M., Hirsch, I. B., et al. (2016) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2016.0268 · Cited by 36 · see citing works
Self-citationMcTavish, L., Corley, B., Weatherall, M., Wiltshire, E., & Krebs, J. D. (2018) · Diabetic Medicine · doi:10.1111/dme.13576 · Cited by 34 · see citing works
Livingstone, R., Boyle, J. G., & Petrie, J. R. (2020) · Diabetic Medicine · doi:10.1111/dme.13911 · Cited by 34 · see citing works
Ghandi, K., Pieri, B., Dornhorst, A., & Hussain, S. (2021) · Diabetes Therapy · doi:10.1007/s13300-020-00965-0 · Cited by 34 · see citing works
Valenzano, M., Cibrario Bertolotti, I., Valenzano, A., & Grassi, G. (2021) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2019-001045 · Cited by 34 · see citing works
Stanton‐Fay, S. H., Hamilton, K., Chadwick, P. M., Lorencatto, F., Gianfrancesco, C., de Zoysa, N., Coates, E., Cooke, D., McBain, H., Heller, S. R., et al. (2021) · Diabetic Medicine · doi:10.1111/dme.14548 · Cited by 33 · see citing works
Clinical approaches to treat impaired awareness of hypoglycaemia
Farrell, C. M., & McCrimmon, R. J. (2021) · Therapeutic Advances in Endocrinology and Metabolism · doi:10.1177/20420188211000248 · Cited by 31 · see citing works
Islet transplantation for hypoglycemia unawareness/severe hypoglycemia: caveat emptor
Harlan, D. M. (2016) · Diabetes Care · doi:10.2337/dci16-0008 · Cited by 25 · see citing works
Recovery from insulin-induced hypoglycemia after saccharose or glucose administration.
Georgakopoulos, K., Katsilambros, N. L., Fragaki, M., Poulopoulou, Z., Kimbouris, J., Sfikakis, P. P., & Raptis, S. A. (1990) · PubMed · Cited by 23 · see citing works
Intranasal glucagon for hypoglycaemia in diabetic patients. An old dream is becoming reality?
Pontiroli, A. E., & Ceriani, V. (2018) · Diabetes Obesity and Metabolism · doi:10.1111/dom.13317 · Cited by 21 · see citing works
Measurement of Hemoglobin A<sub>1c</sub> in Patients With Sickle Cell Trait
Rohlfing, C., Hanson, S., & Little, R. R. (2017) · JAMA · doi:10.1001/jama.2017.4643 · Cited by 20 · see citing works
“Hyperglycemia aversiveness”: investigating an overlooked problem among adults with type 1 diabetes
Polonsky, W. H., Fortmann, A. L., Price, D., & Fisher, L. (2021) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2021.107925 · Cited by 19 · see citing works
Whitehead, L., Glass, C., & Coppell, K. (2022) · Journal of Advanced Nursing · doi:10.1111/jan.15084 · Cited by 19 · see citing works
Yang, W., Ma, J., Yuan, G., Li, L., Zhang, M., Lu, Y., Ye, X., Song, W., Liu, M., Wu, J., et al. (2019) · Diabetes Obesity and Metabolism · doi:10.1111/dom.13733 · Cited by 17 · see citing works
Salabelle, C., Ly Sall, K., Eroukhmanoff, J., Franc, S., Oumbiche, H., Zrafi, W. S., Dang Duy, T. L., Valentim, C., Gaston, F., Fernandes, S., et al. (2021) · Primary Care Diabetes · doi:10.1016/j.pcd.2021.06.013 · Cited by 14 · see citing works
Li, P., Geng, Z., Ladage, V. P., Wu, J., Lorincz, I., & Doshi, J. A. (2019) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.13832 · Cited by 13 · see citing works
Cahn, A., Zuker, I., Eilenberg, R., Uziel, M., Tsadok, M. A., Raz, I., & Lutski, M. (2022) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3485 · Cited by 9 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Kittleson, M. M., Panjrath, G. S., Amancherla, K., Davis, L. L., Deswal, A., Dixon, D. L., Januzzi, J. L., & Yancy, C. W. (2023) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2023.03.393 · Cited by 554 · see citing works
Brown, T. M., Pack, Q. R., Aberegg, E., Brewer, L. C., Ford, Y. R., Forman, D. E., Gathright, E. C., Khadanga, S., Ozemek, C., & Thomas, R. J. (2024) · Circulation · doi:10.1161/cir.0000000000001289 · Cited by 346 · see citing works
Ebekozien, O. A., Mungmode, A., Sanchez, J. E., Rompicherla, S., Demeterco‐Berggren, C., Weinstock, R. S., Jacobsen, L. M., Davis, G. M., McKee, A. M., Aktürk, H. K., et al. (2023) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0320 · Cited by 211 · see citing works
Weekly Icodec versus Daily Glargine U100 in Type 2 Diabetes without Previous Insulin
Rosenstock, J., Bain, S. C., Gowda, A., Jódar, E., Liang, B., Lingvay, I., Nishida, T., Trevisan, R., & Mosenzon, O. (2023) · New England Journal of Medicine · doi:10.1056/nejmoa2303208 · Cited by 170 · see citing works
Aroda, V. R., Aberle, J., Bardtrum, L., Christiansen, E., Knop, F. K., Gabery, S., Pedersen, S. D., & Buse, J. B. (2023) · The Lancet · doi:10.1016/s0140-6736(23)01127-3 · Cited by 126 · see citing works
Self-citationGallardo-Gómez, D., Salazar-Martínez, E., Alfonso-Rosa, R. M., Ramos-Munell, J., del Pozo-Cruz, J., del Pozo Cruz, B., & Álvarez-Barbosa, F. (2024) · Diabetes Care · doi:10.2337/dc23-0800 · Cited by 111 · see citing works
Kerr, D., Ahn, D., Waki, K., Wang, J., Breznen, B., & Klonoff, D. C. (2024) · Journal of Medical Internet Research · doi:10.2196/55757 · Cited by 101 · see citing works
“One of the critical goals of modern diabetes management remains the achievement of acceptable levels of glycemia to avoid the acute and long-term complications associated with T2DM [9].”
Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c
NCD Risk Factor Collaboration (NCD-RisC), Zhou, B., Sheffer, K. E., Bennett, J. E., Gregg, E. W., Danaei, G., Singleton, R. K., Shaw, J. E., Mishra, A., Lhoste, V. P. F., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02610-2 · Cited by 94 · see citing works
Diabetes and cirrhosis: Current concepts on diagnosis and management
Castéra, L., & Cusi, K. J. (2023) · Hepatology · doi:10.1097/hep.0000000000000263 · Cited by 87 · see citing works
Dunn, T. C., Ajjan, R., Bergenstal, R. M., & Xu, Y. (2024) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0565 · Cited by 83 · see citing works
Advances in the management of type 2 diabetes in adults
Galindo, R. J., Trujillo, J. M., Wang, C. C. L., & McCoy, R. G. (2023) · BMJ Medicine · doi:10.1136/bmjmed-2022-000372 · Cited by 80 · see citing works
Moon, J. S., Kang, S., Choi, J. H., Lee, K. A., Moon, J. H., Chon, S., Kim, D. J., Kim, H. J., Seo, J. A., Kim, M. K., et al. (2024) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2024.0249 · Cited by 76 · see citing works
Rajan, N., Duggan, E. W., Abdelmalak, B., Butz, S. F., Rodriguez, L. V., Vann, M. A., & Joshi, G. P. (2024) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000006791 · Cited by 71 · see citing works
Glucose-sensitive insulin with attenuation of hypoglycaemia
Hoeg-Jensen, T., Kruse, T., Brand, C. L., Sturis, J., Fledelius, C., Nielsen, P. K., Nishimura, E., Madsen, A. R., Lykke, L., Halskov, K. S., et al. (2024) · Nature · doi:10.1038/s41586-024-08042-3 · Cited by 65 · see citing works
The Glucose Management Indicator: Time to Change Course?
Selvin, E. (2024) · Diabetes Care · doi:10.2337/dci23-0086 · Cited by 64 · see citing works
Diabetes, Prediabetes, and Brain Aging: The Role of Healthy Lifestyle
Dove, A. E., Wang, J., Huang, H., Dunk, M. M., Sakakibara, S., Guitart‐Masip, M., Papenberg, G., & Xu, W. (2024) · Diabetes Care · doi:10.2337/dc24-0860 · Cited by 62 · see citing works
Effects of Hypoglycemia on Cardiovascular Function in Patients with Diabetes
Christou, M., Christou, P. A., Kyriakopoulos, C., Christou, G. A., & Tigas, S. K. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24119357 · Cited by 61 · see citing works
Diabetic Sarcopenia. A proposed muscle screening protocol in people with diabetes
de Luis, D. A., Carretero‐Gómez, J., García‐Almeida, J. M., Vallo, F. G., Rolo, G. G., Gómez, J. J. L., Tarazona‐Santabalbina, F. J., & Sanz‐París, A. (2024) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-023-09871-9 · Cited by 61 · see citing works
Therapeutic Inertia in the Management of Type 2 Diabetes: A Narrative Review
Rodriguez, P., Martin, V. T. S., & Pantalone, K. M. (2024) · Diabetes Therapy · doi:10.1007/s13300-024-01530-9 · Cited by 54 · see citing works
Karakus, K. E., Akturk, H. K., Alonso, G. T., Snell-Bergeon, J. K., & Shah, V. N. (2023) · Diabetes Care · doi:10.2337/dc23-0495 · Cited by 52 · see citing works
Huang, J. K., Yeung, A. M., Bergenstal, R. M., CASTORINO, K. N., Cengiz, E., Dhatariya, K., Niu, I., Sherr, J. L., Umpierrez, G. E., & Klonoff, D. C. (2023) · Journal of Diabetes Science and Technology · doi:10.1177/19322968231152236 · Cited by 49 · see citing works
Preventing diabetes complications
Templer, S., Abdo, S., & Wong, T. (2024) · Internal Medicine Journal · doi:10.1111/imj.16455 · Cited by 47 · see citing works
Brown, T. M., Pack, Q. R., Beregg, E. A., Brewer, L. C., Ford, Y. R., Forman, D. E., Gathright, E. C., Khadanga, S., Ozemek, C., & Thomas, R. J. (2024) · Journal of Cardiopulmonary Rehabilitation and Prevention · doi:10.1097/hcr.0000000000000930 · Cited by 47 · see citing works
Knowledge about type 2 diabetes: its impact for future management
Ferreira, P. L., Morais, C., Pimenta, R. E., Ribeiro, I., Amorim, I., Alves, S. M., & Santiago, L. M. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1328001 · Cited by 46 · see citing works
Acute and Chronic Adverse Outcomes of Type 1 Diabetes
LONGENDYKE, R. L., Grundman, J., & Majidi, S. (2023) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2023.09.004 · Cited by 45 · see citing works
The AHA/ACC/HFSA 2022 Heart Failure Guidelines: Changing the Focus to Heart Failure Prevention
Abovich, A., Matasic, D. S., Cardoso, R. N., Ndumele, C. E., Blumenthal, R. S., Blankstein, R., & Gulati, M. (2023) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2023.100527 · Cited by 44 · see citing works
Li, L., Xie, J., Zhang, Z., Xia, B., Li, Y., Lin, Y., Li, M., Wu, P., & Lin, L. (2023) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2023.128873 · Cited by 44 · see citing works
Accuracy of continuous glucose monitoring systems in intensive care unit patients: a scoping review
Nielsen, C. G., Grigonyte‐Daraskeviciene, M., Olsen, M. T., Møller, M. H., Nørgaard, K., Perner, A., Mårtensson, J., Pedersen‐Bjergaard, U., Kristensen, P. L., & Bestle, M. H. (2024) · Intensive Care Medicine · doi:10.1007/s00134-024-07663-6 · Cited by 42 · see citing works
Lauffenburger, J. C., Yom‐Tov, E., Keller, P. A., McDonnell, M. E., Crum, K. L., Bhatkhande, G., Sears, E. S., Hanken, K. E., Bessette, L. G., Fontanet, C. P., et al. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01028-5 · Cited by 41 · see citing works
Lu, J., Ying, Z., Wang, P., Fu, M., Han, C., & Zhang, M. (2024) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.15328 · Cited by 39 · see citing works
Pieber, T. R., Asong, M., Fluhr, G., Höller, V., Kristensen, N. R., LARSEN, J. H., Ribel‐Madsen, R., Švehlíková, E., VINTHER, S. M., Voortman, M. M., et al. (2023) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15266 · Cited by 38 · see citing works
Dinevari, M. F., Sanaie, S., Rasouli, K., Faramarzi, E., & Molani‐Gol, R. (2023) · BMC Endocrine Disorders · doi:10.1186/s12902-023-01515-y · Cited by 38 · see citing works
Wang, W., Bain, S. C., Bian, F., Chen, R., Gabery, S., Huang, S., Jensen, T. B., Luo, B., Yuan, G., Ning, G., et al. (2024) · Diabetologia · doi:10.1007/s00125-024-06142-3 · Cited by 37 · see citing works
Kick, A., M'Rabet‐Bensalah, K., Acquistapace, F., Amadid, H., Ambühl, R. A., Braae, U. C., Item, F., Schultes, B., Züger, T., & Rudofsky, G. (2024) · Diabetes Therapy · doi:10.1007/s13300-023-01525-y · Cited by 37 · see citing works
Klonoff, D. C., Gabbay, M., Moon, S. J., & Wilmot, E. G. (2025) · Journal of Diabetes Science and Technology · doi:10.1177/19322968241250357 · Cited by 36 · see citing works
Kim, J. Y., Jin, S.-M., Sim, K. H., Kim, B.-Y., Cho, J. H., Moon, J. S., Lim, S., Kang, E. S., Park, C.-Y., Kim, S. G., et al. (2024) · Diabetologia · doi:10.1007/s00125-024-06152-1 · Cited by 36 · see citing works
Henry, Z., Fimbel, S., Bendelac, N., Perge, K., & Thivolet, C. H. (2023) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15344 · Cited by 36 · see citing works
Latres, E., Greenbaum, C. J., Oyaski, M. L., Dayan, C. M., Colhoun, H. M., Lachin, J. M., Skyler, J. S., Rickels, M. R., Ahmed, S. T., Dutta, S., et al. (2024) · Diabetes · doi:10.2337/dbi23-0012 · Cited by 35 · see citing works
From liver to hormones: The endocrine consequences of cirrhosis
Aldave, J. E. Q., Osorio, E. R. G., Durand‐Vásquez, M. D. C., Rafael-Robles, L. D. P., Yovera, J. G. G., Quispe-Flores, M. A., Urteaga, L. A. C., Román-Gonzaléz, A., Paz‐Ibarra, J., & Concepción‐Zavaleta, M. J. (2024) · World Journal of Gastroenterology · doi:10.3748/wjg.v30.i9.1073 · Cited by 36 · see citing works
T1DiabetesGranada: a longitudinal multi-modal dataset of type 1 diabetes mellitus
Rodriguez-León, C., Avilés-Pérez, M. D., Baños, O., Quesada‐Charneco, M., Lopez-Ibarra, P. J., Villalonga, C., & Muñoz‐Torres, M. (2023) · Scientific Data · doi:10.1038/s41597-023-02737-4 · Cited by 35 · see citing works
Key indices of glycaemic variability for application in diabetes clinical practice
Monnier, L., Bonnet, F., Colette, C., Renard, É., & Owens, D. R. (2023) · Diabetes & Metabolism · doi:10.1016/j.diabet.2023.101488 · Cited by 34 · see citing works
Kaminski, C. Y., Galindo, R. J., Navarrete, J. E., Zabala, Z. E., Moazzami, B., Gerges, A., McCoy, R. G., Fayfman, M., Vellanki, P., Idrees, T., et al. (2023) · Diabetes Care · doi:10.2337/dc23-1276 · Cited by 35 · see citing works
Lin, Z., He, J., Yuan, S., Song, C., Bian, X., Yang, M., & Dou, K. (2024) · Nutrition and Diabetes · doi:10.1038/s41387-024-00318-x · Cited by 34 · see citing works
Comparison of Glycemia Risk Index with Time in Range for Assessing Glycemic Quality
Kim, J. Y., Yoo, J. H., & Kim, J. H. (2023) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0264 · Cited by 33 · see citing works
Initial Combination Therapy in Type 2 Diabetes
Kim, J. Y., & Kim, N. H. (2023) · Endocrinology and Metabolism · doi:10.3803/enm.2023.1816 · Cited by 33 · see citing works
Blevins, T., Dahl, D. B., Manghi, F. P., Murthy, S., Carrasquillo, R. O., Li, X., Chang, A. M., Carr, M. C., & Katz, M. L. (2025) · The Lancet · doi:10.1016/s0140-6736(25)01069-4 · Cited by 33 · see citing works
Lau, D., Manca, D. P., Singh, P., Perry, T., Olu-Jordan, I., Ryan Zhang, J., Rahim, G., Hagen, E. M., & Yeung, R. O. (2024) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2024.111899 · Cited by 32 · see citing works
DeSalvo, D. J., Bode, B. W., Forlenza, G. P., Laffel, L. M., Buckingham, B. A., Criego, A. B., Schoelwer, M. J., MacLeish, S. A., Sherr, J. L., Hansen, D. W., et al. (2024) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0506 · Cited by 32 · see citing works
Enhancing the Capabilities of Continuous Glucose Monitoring With a Predictive App
Herrero, P., Andorrà, M., Babion, N., Bos, H., Koehler, M., Klopfenstein, Y., Leppäaho, E., Lustenberger, P., Peak, A., Ringemann, C., et al. (2024) · Journal of Diabetes Science and Technology · doi:10.1177/19322968241267818 · Cited by 31 · see citing works
Lin, Z., He, J., Yuan, S., Song, C., Bian, X., Yang, M. H., & Dou, K. (2024) · Cardiovascular Diabetology · doi:10.1186/s12933-023-02112-y · Cited by 30 · see citing works
Pathophysiology and Advances in the Therapy of Cardiomyopathy in Patients with Diabetes Mellitus
Graczyk, P., Dach, A., Dyrka, K., & Pawlik, A. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25095027 · Cited by 30 · see citing works
Dejgaard, T. F., Frandsen, C. S., Kielgast, U., Størling, J., Overgaard, A. J., Svane, M. S., Olsen, M. H., Thorsteinsson, B., Andersen, H. U., Krarup, T., et al. (2024) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.15889 · Cited by 29 · see citing works
Thrasher, J. R., Arrieta, A., Niu, F., Cameron, K. R., Cordero, T. L., Shin, J., Rhinehart, A. S., & Vigersky, R. A. (2024) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0453 · Cited by 29 · see citing works
Omotosho, I. A., Shamsuddin, N., Huri, H. Z., Chong, W. L., & Rehman, I. U. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26146909 · Cited by 29 · see citing works
Kharmats, A. Y., Popp, C. J., Hu, L., Berube, L. T., Curran, M., Wang, C., Pompeii, M. L., Li, H., Bergman, M., St‐Jules, D. E., et al. (2023) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2023.05.026 · Cited by 29 · see citing works
Xiao, Y., Hong, X., Neelagar, R., & Mo, H. (2025) · Scientific Reports · doi:10.1038/s41598-025-89374-6 · Cited by 28 · see citing works
Mita, T., Katakami, N., Okada, Y., Yoshii, H., Osonoi, T., Nishida, K., Shiraiwa, T., Kurozumi, A., Taya, N., Wakasugi, S., et al. (2023) · Diabetologia · doi:10.1007/s00125-023-06013-3 · Cited by 28 · see citing works
Pragmatic Trial of Hospitalization Rate in Chronic Kidney Disease
Vazquez, M., Oliver, G., Amarasingham, R., Sundaram, V., Chan, K. T. K., Ahn, C. W., Zhang, S., Bickel, P. E., Parikh, S. M., Wells, B. L., et al. (2024) · New England Journal of Medicine · doi:10.1056/nejmoa2311708 · Cited by 28 · see citing works
Residual β-Cell Function Is Associated With Longer Time in Range in Individuals With Type 1 Diabetes
Snethlage, C. M. F., McDonald, T. J., Oram, R. A., de Groen, P., Rampanelli, E., Schimmel, A. W. M., Holleman, F., Siegelaar, S. E., Hoekstra, J. B. L., Brouwer, C. B., et al. (2023) · Diabetes Care · doi:10.2337/dc23-0776 · Cited by 27 · see citing works
Hövelmann, U., Engberg, S., Heise, T., Kristensen, N. R., Nørgreen, L., Zijlstra, E., & Ribel‐Madsen, R. (2024) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15510 · Cited by 27 · see citing works
A case study on using a large language model to analyze continuous glucose monitoring data
Healey, E., Tan, A. L. M., Flint, K. L., Ruiz, J., & Kohane, I. S. (2025) · Scientific Reports · doi:10.1038/s41598-024-84003-0 · Cited by 28 · see citing works
Yoo, J. H., Kim, J. Y., & Kim, J. H. (2023) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0165 · Cited by 26 · see citing works
Nørgaard, K., Ranjan, A. G., Laugesen, C., Tidemand, K. G., Green, A., Selmer, C., Svensson, J., Andersen, H. U., Vistisen, D., & Carstensen, B. (2023) · Diabetes Care · doi:10.2337/dc23-1137 · Cited by 26 · see citing works
Perspectives in weight control in diabetes - survodutide
Klein, T., Augustin, R., & Hennige, A. M. (2024) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2023.110779 · Cited by 25 · see citing works
Karakasis, P., Patoulias, D., Pamporis, K., Popovic, D. S., Stachteas, P., Bougioukas, K. I., Fragakis, N., & Rizzo, M. (2023) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15259 · Cited by 25 · see citing works
Klonoff, D. C., Bergenstal, R. M., Cengiz, E., Clements, M. A., Espes, D., Espinoza, J., Kerr, D. E., Kovatchev, B. P., Maahs, D. M., Mader, J. K., et al. (2025) · Journal of Diabetes Science and Technology · doi:10.1177/19322968251353228 · Cited by 25 · see citing works
Karnabi, P., Massicotte‐Azarniouch, D., Ritchie, L. J., Marshall, S., & Knoll, G. A. (2023) · Canadian Journal of Kidney Health and Disease · doi:10.1177/20543581231181026 · Cited by 24 · see citing works
The role of blood testing in prevention, diagnosis, and management of chronic diseases: A review
Cabalar, I., Le, T. H., Silber, A., O’Hara, M., Abdallah, B., Parikh, M., & Busch, R. S. (2024) · The American Journal of the Medical Sciences · doi:10.1016/j.amjms.2024.04.009 · Cited by 24 · see citing works
Emerging Therapy for Diabetic Cardiomyopathy: From Molecular Mechanism to Clinical Practice
Hsuan, C., Teng, S. I. F., Hsu, C., Liao, D., Chang, A. J.-W., Lee, H.-L., Hee, S., Chang, Y., & Chuang, L. (2023) · Biomedicines · doi:10.3390/biomedicines11030662 · Cited by 23 · see citing works
Song, C., Dhaliwal, S., Bapat, P., Scarr, D., BAKHSH, A. M. K., BUDHRAM, D. R., Verhoeff, N. J., Weisman, A., Fralick, M., Ivers, N. M., et al. (2023) · Diabetes Care · doi:10.2337/dc23-0840 · Cited by 23 · see citing works
González‐Vidal, T., Rivas‐Otero, D., Gutiérrez-Hurtado, A., Felgueroso, C. A., Tamés, G. M., Lambert, C., Delgado, E., & Torre, E. L. M. (2023) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-023-01212-9 · Cited by 23 · see citing works
van Houtum, W. H., Schrömbges, P. P. G., Amadid, H., van Bon, A. C., Braae, U. C., Hoogstraten, C., & Herrings, H. (2024) · Diabetes Therapy · doi:10.1007/s13300-024-01588-5 · Cited by 23 · see citing works
Beyond A1C: exploring continuous glucose monitoring metrics in managing diabetes
Friedman, J. G., Coyne, K., Aleppo, G., & Szmuilowicz, E. D. (2023) · Endocrine Connections · doi:10.1530/ec-23-0085 · Cited by 22 · see citing works
Self-citationJabbour, S. A., Paik, J. S., Aleppo, G., Sharma, P., Valderas, E. G., & Benneyworth, B. D. (2024) · Endocrine Practice · doi:10.1016/j.eprac.2024.05.005 · Cited by 22 · see citing works
Self-citationMartens, T. W., Willis, H. J., Bergenstal, R. M., Kruger, D. F., French, E. K., & Steenkamp, D. (2025) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2024.0579 · Cited by 22 · see citing works
Li, G., Zhong, S., Wang, X., & Zhuge, F. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1222409 · Cited by 22 · see citing works
Tsukamoto, S., Tanaka, S., Yamada, T., Uneda, K., Azushima, K., Kinguchi, S., Wakui, H., & Tamura, K. (2023) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15312 · Cited by 22 · see citing works
Tamaki, N., Wakabayashi, S., Kimura, T., Yasui, Y., Tsuchiya, K., Nakanishi, H., Huang, D. Q., Umemura, T., Kurosaki, M., & Izumi, N. (2024) · Hepatology Research · doi:10.1111/hepr.14025 · Cited by 22 · see citing works
Setayesh, A., Karimi, M., Karimi, M. A., Pirzad, S., Heydari, M., Asbaghi, O., Davoodi, S. H., & Larijani, B. A. (2025) · Probiotics and Antimicrobial Proteins · doi:10.1007/s12602-025-10644-w · Cited by 21 · see citing works
Morales, J., Dagogo-Jack, S. E., Fonseca, V. A., Neumiller, J. J., & Rosas, S. E. (2023) · Clinical Diabetes · doi:10.2337/cd22-0110 · Cited by 21 · see citing works
Comprehensive Cardiovascular and Renal Protection in Patients with Type 2 Diabetes
Conde, A. C., Martín, D. M., Ruíz, R. C., Olmo, M. R. F., Ariño, C. M., Gómez‐Doblas, J. J., Górriz, J. L., Mazón‐Ramos, P., García–Moll, X., Soler, M. J., et al. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12123925 · Cited by 21 · see citing works
Glycated Albumin and Adverse Clinical Outcomes in Patients With CKD: A Prospective Cohort Study
Tang, M., Berg, A. H., Zheng, H., Rhee, E. P., Allegretti, A. S., Nigwekar, S. U., Karumanchi, S. A., Lash, J. P., & Kalim, S. (2024) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2024.02.006 · Cited by 21 · see citing works
Xie, C., Iroga, P. E., Bound, M. J., Grivell, J., Huang, W., Jones, K. L., Horowitz, M., Rayner, C. K., & Wu, T. (2024) · Diabetologia · doi:10.1007/s00125-024-06131-6 · Cited by 21 · see citing works
Zakaria, H., Said, Y., Aleabova, S., Bangayan, J., DANDAN, M. C., Debs, J., Dahlstrom, N., DIVINO, D. J., Hashemi, A., & Almarzooqi, I. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1355792 · Cited by 21 · see citing works
Meng, G., Gu, J., Liew, S. Y., Cao, J., Wang, Z., Ma, C., Fu, Z., Zhou, H., Wang, J., Wang, S., et al. (2025) · Cell stem cell · doi:10.1016/j.stem.2025.07.006 · Cited by 20 · see citing works
Braem, C. I. R., Yavuz, U. Ş., Hermens, H. J., & Veltink, P. H. (2024) · Sensors · doi:10.3390/s24051526 · Cited by 20 · see citing works
Cichosz, S. L., Olesen, S. S., & Jensen, M. H. (2024) · Journal of Diabetes Science and Technology · doi:10.1177/19322968241286907 · Cited by 20 · see citing works
Eliasson, B., Kjölhede, E. A., Salö, S., Nielsen, N. F., & Eeg‐Olofsson, K. (2024) · Diabetes Therapy · doi:10.1007/s13300-024-01572-z · Cited by 19 · see citing works
Mateos, I. C., Morales, C., López, M. L., & Vilches‐Arenas, Á. (2025) · Journal of Medical Internet Research · doi:10.2196/60758 · Cited by 19 · see citing works
Huang, X., Huang, L., Tao, H., Ren, M., & Li, Y. (2025) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2025.112105 · Cited by 19 · see citing works
Cambuli, V. M., & Baroni, M. G. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241713139 · Cited by 19 · see citing works
March, C. A., Sherman, J., Bannuru, R. R., Fischer, A., Gabbay, R. A., Rodriguez, H., Rodriguez, J., Weissberg-Benchell, J. A., Woodward, C., & ElSayed, N. A. (2023) · Diabetes Care · doi:10.2337/dci23-0083 · Cited by 19 · see citing works
Self-citationBergenstal, R. M. (2023) · Diabetes Spectrum · doi:10.2337/dsi23-0005 · Cited by 19 · see citing works
Diabetic Kidney Disease Prevention Care Model Development
ElSayed, N. A., Bannuru, R. R., Bakris, G. L., Bardsley, J. K., de Boer, I. H., Gabbay, R. A., Gockerman, J. P., McCoy, R. G., McCracken, E., Neumiller, J. J., et al. (2023) · Clinical Diabetes · doi:10.2337/cd23-0063 · Cited by 19 · see citing works
Self-citationGlycated Hemoglobin A1c Time in Range and Dementia in Older Adults With Diabetes
UNDERWOOD, P. C., Zhang, L., Mohr, D. C., Prentice, J. C., Nelson, R. E., Budson, A. E., & Conlin, P. R. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.25354 · Cited by 19 · see citing works
Rudofsky, G., Amadid, H., Braae, U. C., Catrina, S., Kick, A., Mandavya, K., Roslind, K., Saravanan, P., van Houtum, W. H., & Jain, A. (2024) · Diabetes Therapy · doi:10.1007/s13300-024-01668-6 · Cited by 19 · see citing works
HbA1c variability associated with dementia risk in people with type 2 diabetes
Moran, C., Whitmer, R. A., Dove, Z., LACY, M. E., Soh, Y., Tsai, A., Quesenberry, C. P., Karter, A. J., Adams, A. S., & Gilsanz, P. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14066 · Cited by 18 · see citing works
Bazzazzadehgan, S., Shariat‐Madar, Z., & Mahdi, F. (2025) · Biomolecules · doi:10.3390/biom15030414 · Cited by 18 · see citing works
Mao, X., Zhang, X., Henry, L. L., Cheung, K. S., Yuen, M., Cheung, R. C., Seto, W., & Nguyen, M. H. (2025) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djaf163 · Cited by 18 · see citing works
Alawode, O. A., Humble, S., & Herrick, C. (2023) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2022-003205 · Cited by 18 · see citing works
- Authors
- ElSayed, N. A., Aleppo, G., Aroda, V. R., Bannuru, R. R., Brown, F. M., Bruemmer, D., Collins, B. S., Hilliard, M. E., Isaacs, D., Johnson, E. L., Kahan, S., Khunti, K., Leon, J., Lyons, S. K., Perry, M. L., Prahalad, P., Pratley, R. E., Seley, J. J., Stanton, R. C., & Gabbay, R. A.
- ORCID
- ElSayed, Nuha A.
- Aleppo, Grazia
- Aroda, Vanita R.
- Bannuru, Raveendhara R.
- Brown, Florence M.
- Bruemmer, Dennis
- Collins, Billy S.
- Hilliard, Marisa E.
- Isaacs, Diana
- Johnson, Eric L.
- Kahan, Scott
- Khunti, Kamlesh
- Lyons, Sarah K.
- Perry, Mary Lou
- Prahalad, Priya
- Pratley, Richard E.
- Seley, Jane Jeffrie
- Stanton, Robert C.
- Gabbay, Robert A.
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2022-12-12
- Volume
- 46
- Issue
- Supplement_1
- Pages
- S97-S110
- ISSN
- 0149-5992 (ISSN-L)
- PMC
- PMC9810469
- OpenAlex
- W4311158234
- Semantic Scholar
- 6be81498eb5426b9aadb2bc1d684bc2e4062b4af
- Cited by
- 684
- References
- 136
- Citations by year
- 2026: 77 · 2025: 170 · 2024: 269 · 2023: 168
- FWCI
- 21.64
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes Care (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Keywords
- glycemic targets, diabetes management, American Diabetes Association standards of care, clinical guidelines, quality of care, treatment goals, level of evidence
- MeSH terms
- Diabetes Mellitus, Endocrinology, Humans, Reference Standards, Societies, Medical, Standard of Care
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review