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  • 1
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    Online Resource
    Effect of Metformin and Lifestyle Interventions on Mortality in the Diabetes Prevention Program and Diabetes Prevention Program Outcomes Study
    American Diabetes Association ; 2021
    In:  Diabetes Care Vol. 44, No. 12 ( 2021-12-01), p. 2775-2782
    Details
    In: Diabetes Care, American Diabetes Association, Vol. 44, No. 12 ( 2021-12-01), p. 2775-2782
    Abstract: To determine whether metformin or lifestyle modification can lower rates of all-cause and cause-specific mortality in the Diabetes Prevention Program and Diabetes Prevention Program Outcomes Study. RESEARCH DESIGN AND METHODS From 1996 to 1999, 3,234 adults at high risk for type 2 diabetes were randomized to an intensive lifestyle intervention, masked metformin, or placebo. Placebo and lifestyle interventions stopped in 2001, and a modified lifestyle program was offered to everyone, but unmasked study metformin continued in those originally randomized. Causes of deaths through 31 December 2018 were adjudicated by blinded reviews. All-cause and cause-specific mortality hazard ratios (HRs) were estimated from Cox proportional hazards regression models and Fine-Gray models, respectively. RESULTS Over a median of 21 years (interquartile range 20–21), 453 participants died. Cancer was the leading cause of death (n = 170), followed by cardiovascular disease (n = 131). Compared with placebo, metformin did not influence mortality from all causes (HR 0.99 [95% CI 0.79, 1.25]), cancer (HR 1.04 [95% CI 0.72, 1.52] ), or cardiovascular disease (HR 1.08 [95% CI 0.70, 1.66]). Similarly, lifestyle modification did not impact all-cause (HR 1.02 [95% CI 0.81, 1.28] ), cancer (HR 1.07 [95% CI 0.74, 1.55]), or cardiovascular disease (HR 1.18 [95% CI 0.77, 1.81] ) mortality. Analyses adjusted for diabetes status and duration, BMI, cumulative glycemic exposure, and cardiovascular risks yielded results similar to those for all-cause mortality. CONCLUSIONS Cancer was the leading cause of mortality among adults at high risk for type 2 diabetes. Although metformin and lifestyle modification prevented diabetes, neither strategy reduced all-cause, cancer, or cardiovascular mortality rates.
    Type of Medium: Online Resource
    ISSN: 0149-5992 , 1935-5548
    URL: Article
    DOI: 10.2337/dc21-1046
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2021
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  • 2
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    The Impact of Physical Activity on the Prevention of Type 2 Diabetes: Evidence and Lessons Learned From the Diabetes Prevention Program, a Long-Standing Clinical Trial Incorporating Subjective and Objective Activity Measures
    American Diabetes Association ; 2021
    In:  Diabetes Care Vol. 44, No. 1 ( 2021-01-01), p. 43-49
    Details
    In: Diabetes Care, American Diabetes Association, Vol. 44, No. 1 ( 2021-01-01), p. 43-49
    Abstract: Across the Diabetes Prevention Program (DPP) follow-up, cumulative diabetes incidence remained lower in the lifestyle compared with the placebo and metformin randomized groups and could not be explained by weight. Collection of self-reported physical activity (PA) (yearly) with cross-sectional objective PA (in follow-up) allowed for examination of PA and its long-term impact on diabetes prevention. RESEARCH DESIGN AND METHODS Yearly self-reported PA and diabetes assessment and oral glucose tolerance test results (fasting glucose semiannually) were collected for 3,232 participants with one accelerometry assessment 11–13 years after randomization (n = 1,793). Mixed models determined PA differences across treatment groups. The association between PA and diabetes incidence was examined using Cox proportional hazards models. RESULTS There was a 6% decrease (Cox proportional hazard ratio 0.94 [95% CI 0.92, 0.96]; P & lt; 0.001) in diabetes incidence per 6 MET-h/week increase in time-dependent PA for the entire cohort over an average of 12 years (controlled for age, sex, baseline PA, and weight). The effect of PA was greater (12% decrease) among participants less active at baseline ( & lt;7.5 MET-h/week) (n = 1,338) (0.88 [0.83, 0.93]; P & lt; 0.0001), with stronger findings for lifestyle participants. Lifestyle had higher cumulative PA compared with metformin or placebo (P & lt; 0.0001) and higher accelerometry total minutes per day measured during follow-up (P = 0.001 and 0.047). All associations remained significant with the addition of weight in the models. CONCLUSIONS PA was inversely related to incident diabetes in the entire cohort across the study, with cross-sectional accelerometry results supporting these findings. This highlights the importance of PA within lifestyle intervention efforts designed to prevent diabetes and urges health care providers to consider both PA and weight when counseling high-risk patients.
    Type of Medium: Online Resource
    ISSN: 0149-5992 , 1935-5548
    URL: Article
    DOI: 10.2337/dc20-1129
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2021
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  • 3
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    Identification of Genetic Variation Influencing Metformin Response in a Multiancestry Genome-Wide Association Study in the Diabetes Prevention Program (DPP)
    American Diabetes Association ; 2023
    In:  Diabetes Vol. 72, No. 8 ( 2023-08-01), p. 1161-1172
    Details
    In: Diabetes, American Diabetes Association, Vol. 72, No. 8 ( 2023-08-01), p. 1161-1172
    Abstract: Genome-wide significant loci for metformin response in type 2 diabetes reported elsewhere have not been replicated in the Diabetes Prevention Program (DPP). To assess pharmacogenetic interactions in prediabetes, we conducted a genome-wide association study (GWAS) in the DPP. Cox proportional hazards models tested associations with diabetes incidence in the metformin (MET; n = 876) and placebo (PBO; n = 887) arms. Multiple linear regression assessed association with 1-year change in metformin-related quantitative traits, adjusted for baseline trait, age, sex, and 10 ancestry principal components. We tested for gene-by-treatment interaction. No significant associations emerged for diabetes incidence. We identified four genome-wide significant variants after correcting for correlated traits (P & lt; 9 × 10−9). In the MET arm, rs144322333 near ENOSF1 (minor allele frequency [MAF]AFR = 0.07; MAFEUR = 0.002) was associated with an increase in percentage of glycated hemoglobin (per minor allele, β = 0.39 [95% CI 0.28, 0.50] ; P = 2.8 × 10−12). rs145591055 near OMSR (MAF = 0.10 in American Indians) was associated with weight loss (kilograms) (per G allele, β = −7.55 [95% CI −9.88, −5.22]; P = 3.2 × 10−10) in the MET arm. Neither variant was significant in PBO; gene-by-treatment interaction was significant for both variants [P(G×T) & lt; 1.0 × 10−4]. Replication in individuals with diabetes did not yield significant findings. A GWAS for metformin response in prediabetes revealed novel ethnic-specific associations that require further investigation but may have implications for tailored therapy.
    Type of Medium: Online Resource
    ISSN: 0012-1797
    URL: Article
    DOI: 10.2337/db22-0702
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2023
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  • 4
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    The Effect of Interventions to Prevent Type 2 Diabetes on the Development of Diabetic Retinopathy: The DPP/DPPOS Experience
    American Diabetes Association ; 2022
    In:  Diabetes Care Vol. 45, No. 7 ( 2022-07-07), p. 1640-1646
    Details
    In: Diabetes Care, American Diabetes Association, Vol. 45, No. 7 ( 2022-07-07), p. 1640-1646
    Abstract: To determine whether interventions that slow or prevent the development of type 2 diabetes in those at risk reduce the subsequent prevalence of diabetic retinopathy. RESEARCH DESIGN AND METHODS The Diabetes Prevention Program (DPP) randomized subjects at risk for developing type 2 diabetes because of overweight/obesity and dysglycemia to metformin (MET), intensive lifestyle intervention (ILS), or placebo (PLB) to assess the prevention of diabetes. During the DPP and DPP Outcome Study (DPPOS), we performed fundus photography over time on study participants, regardless of their diabetes status. Fundus photographs were graded using the Early Treatment Diabetic Retinopathy Study grading system, with diabetic retinopathy defined as typical lesions of diabetic retinopathy (microaneurysms, exudates, or hemorrhage, or worse) in either eye. RESULTS Despite reduced progression to diabetes in the ILS and MET groups compared with PLB, there was no difference in the prevalence of diabetic retinopathy between treatment groups after 1, 5, 11, or 16 years of follow-up. No treatment group differences in retinopathy were found within prespecified subgroups (baseline age, sex, race/ethnicity, baseline BMI). In addition, there was no difference in the prevalence of diabetic retinopathy between those exposed to metformin and those not exposed to metformin, regardless of treatment group assignment. CONCLUSIONS Interventions that delay or prevent the onset of type 2 diabetes in overweight/obese subjects with dysglycemia who are at risk for diabetes do not reduce the development of diabetic retinopathy for up to 20 years.
    Type of Medium: Online Resource
    ISSN: 0149-5992
    URL: Article
    DOI: 10.2337/dc21-2417
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2022
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  • 5
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    Online Resource
    Risk Factors for the Development of Retinopathy in Prediabetes and Type 2 Diabetes: The Diabetes Prevention Program Experience
    American Diabetes Association ; 2022
    In:  Diabetes Care Vol. 45, No. 11 ( 2022-11-01), p. 2653-2661
    Details
    In: Diabetes Care, American Diabetes Association, Vol. 45, No. 11 ( 2022-11-01), p. 2653-2661
    Abstract: To determine glycemic and nonglycemic risk factors that contribute to the presence of diabetic retinopathy (DR) before and after the onset of type 2 diabetes (T2D). RESEARCH DESIGN AND METHODS During the Diabetes Prevention Program (DPP) and DPP Outcome Study (DPPOS), we performed fundus photography over time in adults at high risk for developing T2D, including after they developed diabetes. Fundus photographs were graded using the Early Treatment Diabetic Retinopathy Study (ETDRS) grading system, with DR defined as typical lesions of DR (microaneurysms, exudates, hemorrhage, or worse) in either eye. RESULTS By DPPOS year 16 (∼20 years after random assignment into DPP), 24% of 1,614 participants who had developed T2D and 14% of 885 who remained without diabetes had DR. In univariate analyses, using results from across the entire duration of follow-up, American Indian race was associated with less frequent DR compared with non-Hispanic White (NHW) race, and higher HbA1c, fasting and 2-h plasma glucose levels during an oral glucose tolerance test, weight, and history of hypertension, dyslipidemia, and smoking, but not treatment group assignment, were associated with more frequent DR. On multivariate analysis, American Indian race was associated with less DR compared with NHW (odds ratio [OR] 0.36, 95% CI 0.20–0.66), and average HbA1c was associated with more DR (OR 1.92, 95% CI 1.46–1.74 per SD [0.7%] increase in HbA1c). CONCLUSIONS DR may occur in adults with prediabetes and early in the course of T2D. HbA1c was an important risk factor for the development of DR across the entire glycemic range from prediabetes to T2D.
    Type of Medium: Online Resource
    ISSN: 0149-5992 , 1935-5548
    URL: Article
    DOI: 10.2337/dc22-0860
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2022
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  • 6
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    Interaction Between Type 2 Diabetes Prevention Strategies and Genetic Determinants of Coronary Artery Disease on Cardiometabolic Risk Factors
    American Diabetes Association ; 2020
    In:  Diabetes Vol. 69, No. 1 ( 2020-01-01), p. 112-120
    Details
    In: Diabetes, American Diabetes Association, Vol. 69, No. 1 ( 2020-01-01), p. 112-120
    Abstract: Coronary artery disease (CAD) is more frequent among individuals with dysglycemia. Preventive interventions for diabetes can improve cardiometabolic risk factors (CRFs), but it is unclear whether the benefits on CRFs are similar for individuals at different genetic risk for CAD. We built a 201-variant polygenic risk score (PRS) for CAD and tested for interaction with diabetes prevention strategies on 1-year changes in CRFs in 2,658 Diabetes Prevention Program (DPP) participants. We also examined whether separate lifestyle behaviors interact with PRS and affect changes in CRFs in each intervention group. Participants in both the lifestyle and metformin interventions had greater improvement in the majority of recognized CRFs compared with placebo (P & lt; 0.001) irrespective of CAD genetic risk (Pinteraction & gt; 0.05). We detected nominal significant interactions between PRS and dietary quality and physical activity on 1-year change in BMI, fasting glucose, triglycerides, and HDL cholesterol in individuals randomized to metformin or placebo, but none of them achieved the multiple-testing correction for significance. This study confirms that diabetes preventive interventions improve CRFs regardless of CAD genetic risk and delivers hypothesis-generating data on the varying benefit of increasing physical activity and improving diet on intermediate cardiovascular risk factors depending on individual CAD genetic risk profile.
    Type of Medium: Online Resource
    ISSN: 0012-1797 , 1939-327X
    URL: Article
    DOI: 10.2337/db19-0097
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2020
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  • 7
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    Online Resource
    Metabolite Profiles of Incident Diabetes and Heterogeneity of Treatment Effect in the Diabetes Prevention Program
    American Diabetes Association ; 2019
    In:  Diabetes Vol. 68, No. 12 ( 2019-12-01), p. 2337-2349
    Details
    In: Diabetes, American Diabetes Association, Vol. 68, No. 12 ( 2019-12-01), p. 2337-2349
    Abstract: Novel biomarkers of type 2 diabetes (T2D) and response to preventative treatment in individuals with similar clinical risk may highlight metabolic pathways that are important in disease development. We profiled 331 metabolites in 2,015 baseline plasma samples from the Diabetes Prevention Program (DPP). Cox models were used to determine associations between metabolites and incident T2D, as well as whether associations differed by treatment group (i.e., lifestyle [ILS], metformin [MET] , or placebo [PLA]), over an average of 3.2 years of follow-up. We found 69 metabolites associated with incident T2D regardless of treatment randomization. In particular, cytosine was novel and associated with the lowest risk. In an exploratory analysis, 35 baseline metabolite associations with incident T2D differed across the treatment groups. Stratification by baseline levels of several of these metabolites, including specific phospholipids and AMP, modified the effect that ILS or MET had on diabetes development. Our findings highlight novel markers of diabetes risk and preventative treatment effect in individuals who are clinically at high risk and motivate further studies to validate these interactions.
    Type of Medium: Online Resource
    ISSN: 0012-1797 , 1939-327X
    URL: Article
    DOI: 10.2337/db19-0236
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2019
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  • 8
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    Online Resource
    Effect of Dapagliflozin in DAPA-HF According to Background Glucose-Lowering Therapy
    American Diabetes Association ; 2020
    In:  Diabetes Care Vol. 43, No. 11 ( 2020-11-01), p. 2878-2881
    Details
    In: Diabetes Care, American Diabetes Association, Vol. 43, No. 11 ( 2020-11-01), p. 2878-2881
    Abstract: To determine whether the benefits of dapagliflozin in patients with heart failure and reduced ejection fraction (HFrEF) and type 2 diabetes in the Dapagliflozin And Prevention of Adverse-Outcomes in Heart Failure trial (DAPA-HF) varied by background glucose-lowering therapy (GLT). RESEARCH DESIGN AND METHODS We examined the effect of study treatment by the use or not of GLT and by GLT classes and combinations. The primary outcome was a composite of worsening heart failure (hospitalization or urgent visit requiring intravenous therapy) or cardiovascular death. RESULTS In the 2,139 type 2 diabetes patients, the effect of dapagliflozin on the primary outcome was consistent by GLT use or no use (hazard ratio 0.72 [95% CI 0.58–0.88] vs. 0.86 [0.60–1.23] ; interaction P = 0.39) and across GLT classes. CONCLUSIONS In DAPA-HF, dapagliflozin improved outcomes irrespective of use or no use of GLT or by GLT type used in patients with type 2 diabetes and HFrEF.
    Type of Medium: Online Resource
    ISSN: 0149-5992 , 1935-5548
    URL: Article
    DOI: 10.2337/dc20-1402
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2020
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  • 9
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    Online Resource
    Transcriptional Program of the Endocrine Pancreas in Mice and Humans
    American Diabetes Association ; 2003
    In:  Diabetes Vol. 52, No. 7 ( 2003-07-01), p. 1604-1610
    Details
    In: Diabetes, American Diabetes Association, Vol. 52, No. 7 ( 2003-07-01), p. 1604-1610
    Abstract: The Endocrine Pancreas Consortium was formed in late 1999 to derive and sequence cDNA libraries enriched for rare transcripts expressed in the mammalian endocrine pancreas. Over the past 3 years, the Consortium has generated 20 cDNA libraries from mouse and human pancreatic tissues and deposited & gt;150,000 sequences into the public expressed sequence tag databases. A special effort was made to enrich for cDNAs from the endocrine pancreas by constructing libraries from isolated islets. In addition, we constructed a library in which fetal pancreas from Neurogenin 3 null mice, which consists of only exocrine and duct cells, was subtracted from fetal wild-type pancreas to enrich for the transcripts from the endocrine compartment. Sequence analysis showed that these clones cluster into 9,464 assembly groups (approximating unique transcripts) for the mouse and 13,910 for the human sequences. Of these, & gt;4,300 were unique to Consortium libraries. We have assembled a core clone set containing one cDNA for each assembly group for the mouse and have constructed the corresponding microarray, termed “PancChip 4.0,” which contains & gt;9,000 nonredundant elements. We show that this PancChip is highly enriched for genes expressed in the endocrine pancreas. The mouse and human clone sets and corresponding arrays will be important resources for diabetes research.
    Type of Medium: Online Resource
    ISSN: 0012-1797 , 1939-327X
    URL: Article
    DOI: 10.2337/diabetes.52.7.1604
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2003
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  • 10
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    Rates of Major Adverse Cardiovascular (CV) Events (MACE) and Mortality with Basal Insulin by Liraglutide Use—A DEVOTE Subanalysis
    American Diabetes Association ; 2018
    In:  Diabetes Vol. 67, No. Supplement_1 ( 2018-07-01)
    Details
    In: Diabetes, American Diabetes Association, Vol. 67, No. Supplement_1 ( 2018-07-01)
    Abstract: CV safety profiles for insulin degludec (degludec) and insulin glargine 100 units/mL (glargine U100) were established by the DEVOTE and ORIGIN trials. In the LEADER trial, the GLP-1 analog liraglutide significantly reduced risks of MACE and mortality vs. placebo in patients with type 2 diabetes (T2D) and high CV risk. This post-hoc analysis compared effects of concomitant liraglutide vs. no liraglutide use on MACE and mortality in 7637 patients with T2D and high CV risk randomized 1:1 to degludec/glargine U100 in DEVOTE (NCT01959529). Hazard ratios (HRs) for MACE/mortality were calculated using a Cox regression model adjusted for treatment and time-varying liraglutide use at any time in the trial, without interaction. Sensitivity analyses adjusted for baseline covariates including age, sex, smoking, T2D duration, CV risk, insulin therapy, A1C, LDL, HDL and liver/kidney function. At baseline, 436 (5.7%) patients were on liraglutide: 187 (2.4%) started and 210 (2.7%) stopped liraglutide thereafter. Mean liraglutide exposure from randomization was 731 days. Liraglutide use was associated with significantly lower HRs for MACE and mortality vs. no liraglutide use (Table). HRs from sensitivity analyses were consistent with these results. Thus, liraglutide was associated with significantly lower MACE and mortality rates in basal insulin users. Disclosure K. Brown-Frandsen: Employee; Self; Novo Nordisk A/S. Stock/Shareholder; Self; Novo Nordisk A/S. S.S. Emerson: Consultant; Self; Bayer AG, CTI BioPharma, Arena Pharmaceuticals, SFJ Pharmaceuticals Group, Genentech, Inc., GlaxoSmithKline plc., Janssen Research & Development, Novartis AG, Novo Nordisk A/S, Pfizer Inc., Roche Pharma, Allergan, AstraZeneca, Coherus Biosciences Inc, Emmaus Life Sciences Inc., Indivior, Sandoz, Seattle Genetics. Research Support; Self; National Heart, Lung, and Blood Institute. S.P. Marso: Consultant; Self; Abbott Vascular, Novo Nordisk A/S, University of Oxford, AstraZeneca, Bristol-Myers Squibb Company. Research Support; Self; Novo Nordisk A/S, The Medicines Company, Terumo Medical Corporation. D.K. McGuire: Consultant; Self; AstraZeneca, Sanofi-Aventis, Eli Lilly and Company, Boehringer Ingelheim Pharmaceuticals, Inc., Merck & Co., Inc., Pfizer Inc., Novo Nordisk A/S. Research Support; Self; AstraZeneca, Sanofi-Aventis, Janssen Pharmaceuticals, Inc., Boehringer Ingelheim Pharmaceuticals, Inc., Merck & Co., Inc., Novo Nordisk A/S, Lexicon Pharmaceuticals, Inc., Eisai Inc., GlaxoSmithKline plc., Esperion Therapeutics. T.R. Pieber: Consultant; Self; Arecor, AstraZeneca, Eli Lilly and Company, Novo Nordisk A/S, Sanofi. Employee; Self; CBmed. Research Support; Self; Novo Nordisk A/S, AstraZeneca. N.R. Poulter: Advisory Panel; Self; AstraZeneca, Novo Nordisk A/S, Amgen Inc.. Research Support; Self; Servier. Speaker's Bureau; Self; AstraZeneca, Novo Nordisk A/S, Amgen Inc., Servier. Other Relationship; Self; International Society of Hypertension. B. Zinman: Consultant; Self; Novo Nordisk A/S, Boehringer Ingelheim Pharmaceuticals, Inc., AstraZeneca, Eli Lilly and Company, Janssen Pharmaceuticals, Inc., Sanofi, Merck & Co., Inc., Abbott. R. Grøn: Employee; Self; Novo Nordisk A/S. M. Lange: Board Member; Self; Beta Bionics. Employee; Self; Novo Nordisk A/S. Stock/Shareholder; Self; Novo Nordisk A/S. Research Support; Spouse/Partner; Takeda Pharmaceuticals U.S.A., Inc. A.C. Moses: Employee; Self; Novo Nordisk A/S. Stock/Shareholder; Self; Novo Nordisk A/S. P. Örsy: Employee; Self; Novo Nordisk A/S. M.F. Ranthe: Employee; Self; Novo Nordisk A/S. Stock/Shareholder; Self; Novo Nordisk A/S. R.E. Pratley: Other Relationship; Self; AstraZeneca, Boehringer Ingelheim Pharmaceuticals, Inc., Eisai Inc., GlaxoSmithKline plc., Janssen Pharmaceuticals, Inc., Lexicon Pharmaceuticals, Inc., Ligand Pharmaceuticals, Inc., Eli Lilly and Company, Merck & Co., Inc., Novo Nordisk Inc., Pfizer Inc., Sanofi-Aventis, Takeda Development Center Americas, Inc..
    Type of Medium: Online Resource
    ISSN: 0012-1797 , 1939-327X
    URL: Article
    DOI: 10.2337/db18-1065-P
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2018
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