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Harreiter J, Roden M. [Diabetes mellitus: definition, classification, diagnosis, screening and prevention (Update 2023)]. Wien Klin Wochenschr 2023; 135:7-17. [PMID: 37101021 PMCID: PMC10133036 DOI: 10.1007/s00508-022-02122-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/09/2022] [Indexed: 04/28/2023]
Abstract
Diabetes mellitus comprises of a group of heterogeneous disorders, which have an increase in blood glucose concentrations in common. The current classification for diabetes mellitus is presented and the main features of type 1 and type 2 diabetes are compared. Furthermore, the criteria for the correct biochemical diagnosis during fasting and oral glucose tolerance tests as well as the use of hemoglobin A1c (HbA1c) are summarized. The increasing prevalence of diabetes requires targeted screening for detecting diabetes and prediabetes in risk groups. This forms the basis for the early initiation of measures to prevent the onset of diabetes in these risk groups and to delay the progression of diabetes.
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Affiliation(s)
- Jürgen Harreiter
- Abteilung für Endokrinologie und Stoffwechsel, Universitätsklinik für Innere Medizin III, Medizinische Universität Wien, Wien, Österreich
| | - Michael Roden
- Institut für Klinische Diabetologie, Deutsches Diabetes-Zentrum (DDZ), Leibniz-Zentrum für Diabetesforschung, Düsseldorf, Deutschland.
- Klinik für Endokrinologie und Diabetologie, Medizinische Fakultät, Universitätsklinikum Düsseldorf, Heinrich-Heine-Universität, Düsseldorf, Deutschland.
- Deutsches Zentrum für Diabetesforschung, DZD e. V., München-Neuherberg, Deutschland.
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Evaluation and Treatment of Prediabetes in Youth. J Pediatr 2020; 219:11-22. [PMID: 32143933 PMCID: PMC7585934 DOI: 10.1016/j.jpeds.2019.12.061] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 11/11/2019] [Accepted: 12/26/2019] [Indexed: 12/29/2022]
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Harreiter J, Roden M. [Diabetes mellitus-Definition, classification, diagnosis, screening and prevention (Update 2019)]. Wien Klin Wochenschr 2019; 131:6-15. [PMID: 30980151 DOI: 10.1007/s00508-019-1450-4] [Citation(s) in RCA: 87] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Diabetes mellitus comprises a group of heterogeneous disorders, which have an increase in blood glucose concentrations in common. The current classification for diabetes mellitus is presented and the main features of type 1 and type 2 diabetes are compared. Furthermore, the criteria for the correct biochemical diagnosis during fasting and oral glucose tolerance tests as well as the use of hemoglobin A1c (HbA1c) are summarized. The increasing prevalence of diabetes requires targeted screening for detecting diabetes and prediabetes in risk groups. This forms the basis for the early initiation of measures to prevent the onset of diabetes in these risk groups and to delay the progression of diabetes.
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Affiliation(s)
- Jürgen Harreiter
- Abteilung für Endokrinologie und Stoffwechsel, Universitätsklinik für Innere Medizin III, Medizinische Universität Wien, Wien, Österreich
| | - Michael Roden
- Klinik für Endokrinologie und Diabetologie, Medizinische Fakultät, Heinrich-Heine-Universität, Düsseldorf, Deutschland. .,Institut für Klinische Diabetologie, Deutsches Diabetes-Zentrum (DDZ), Leibniz-Zentrum für Diabetesforschung, Düsseldorf, Deutschland. .,Deutsches Zentrum für Diabetesforschung, DZD e. V., München-Neuherberg, Deutschland.
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Domecq JP, Prutsky G, Elraiyah T, Wang Z, Mauck KF, Brito JP, Undavalli C, Sundaresh V, Prokop LJ, Montori VM, Murad MH. Medications affecting the biochemical conversion to type 2 diabetes: A systematic review and meta-analysis. J Clin Endocrinol Metab 2019; 104:3986-3995. [PMID: 31365088 DOI: 10.1210/jc.2019-01269] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Accepted: 06/05/2019] [Indexed: 02/13/2023]
Abstract
BACKGROUND The extent to which some pharmacological interventions reduce or increase the risk of biochemical conversion to T2DM in at-risk individuals is unclear. METHODS We searched MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews and Scopus through August 24, 2017, for randomized controlled trials evaluating the effect of drugs suspected to modify the risk of biochemical conversion to T2DM. RESULTS We included 43 trials with 192,156 subjects (mean age 60 years; 56% men; mean BMI 30.4 kg/m2). Alpha-glucosidase inhibitors, angiotensin-converting enzyme inhibitors, angiotensin II receptor blockers, metformin, orlistat, phentermine-topiramate and pioglitazone significantly reduced the risk of biochemical conversion to T2DM, whereas statins and nateglinide increased the risk. There was insufficient direct evidence regarding the effects of sulfonylureas, glucagon-like peptide-1 receptor agonists, dipeptidyl peptidase-4 inhibitors and sodium-glucose cotransporter-2 inhibitors. Most trials were brief and evaluated this outcome during treatment without a withdrawal or washout period. CONCLUSIONS Several drugs modify the risk of biochemical conversation to T2DM, although whether this effect is persistent and clinically relevant is unclear. Future studies need to focus on cardiovascular disease prevention, mortality and patient-important outcomes instead of biochemical conversion to T2DM.
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Affiliation(s)
| | | | - Tarig Elraiyah
- Evidence Based Practice Center, Mayo Clinic, Rochester, MN
- Division of Nephrology, Department of Medicine, Drexel University College of Medicine, Philadelphia, PA
| | - Zhen Wang
- Evidence Based Practice Center, Mayo Clinic, Rochester, MN
| | - Karen F Mauck
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN
| | - Juan Pablo Brito
- Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, MN
- Division of Endocrinology, Mayo Clinic, Rochester, MN
| | | | | | - Larry J Prokop
- Evidence Based Practice Center, Mayo Clinic, Rochester, MN
| | - Victor M Montori
- Evidence Based Practice Center, Mayo Clinic, Rochester, MN
- Knowledge and Evaluation Research Unit, Mayo Clinic, Rochester, MN
- Division of Endocrinology, Mayo Clinic, Rochester, MN
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Sheng Z, Cao JY, Pang YC, Xu HC, Chen JW, Yuan JH, Wang R, Zhang CS, Wang LX, Dong J. Effects of Lifestyle Modification and Anti-diabetic Medicine on Prediabetes Progress: A Systematic Review and Meta-Analysis. Front Endocrinol (Lausanne) 2019; 10:455. [PMID: 31354627 PMCID: PMC6639788 DOI: 10.3389/fendo.2019.00455] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2019] [Accepted: 06/24/2019] [Indexed: 01/03/2023] Open
Abstract
Background: Pre-diabetes is a risk factor for full-blown diabetes; it presents opportunities to prevent the actual diseases. It is therefore essential to identify effective preventive strategies, and to clarify the direction of future research. Methods: PubMed, Embase and Cochrane Central Register of Controlled Trials were searched using key terms (Supplementary Table 1). We applied network meta-analysis to multiple comparisons among various diabetic preventive strategies, including lifestyle and pharmacological interventions; traditional meta-analysis for the synthesis of basal metabolic changes after interventions; and trial sequential analysis for determinations as to whether analysis conclusions meet expectations. Results: We included 32 randomized controlled trials comprising 43,669 patients and 14 interventions in the meta-analysis. Both lifestyle modifications and anti-diabetic medications improved physical conditions, including weight loss, blood glucose, and blood pressure. Network meta-analysis suggested that the progression of diabetes could be delayed to varying degrees by lifestyle and pharmacological interventions, except for angiotensin-converting enzyme inhibitors, statins, sulfonylureas and vitamin D. The risk ratios (RR) [95% credible interval (CrI)] compared with control were: GLP-1RAs 0.28 (0.15, 0.50), Orlistat 0.33 (0.18, 0.55), TZM 0.33 (0.16, 0.63), TZD 0.39 (0.27, 0.53), LST 0.54 (0.32, 0.88), lifestyle 0.58 (0.49, 0.67), LSM 0.62 (0.45, 0.80), GI 0.66 (0.46, 0.88), SU 0.67 (0.40, 1.00), Vitamin D 0.91 (0.59, 1.40), ACEI 0.93 (0.62, 1.40), statins 1.20 (0.84, 1.60). Conclusions: In adults with pre-diabetes, firm evidence supports the notion that lifestyle modifications and metformin reduces the incidence of diabetes with an average of 20% relative risk reduction, while statins increase the relative risk 20%. We found that lifestyle modifications, promising long-term strategies involving three factors (nutrition, exercise, and weight loss) contribute to health by reducing BMI, body weight, waist and hip circumference, systolic and diastolic pressure, fasting, and 2-h postprandial blood glucose, total cholesterol and by increasing HDL. We made this determination using TSA, avoiding further waste of experimental resources.
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Affiliation(s)
- Zhi Sheng
- Clinical Medicine Department, Medical College, Qingdao University, Shandong, China
| | - Jia-Yu Cao
- Clinical Medicine Department, Medical College, Qingdao University, Shandong, China
| | - Ying-Chang Pang
- Clinical Medicine Department, Medical College, Qingdao University, Shandong, China
| | - Hang-Cheng Xu
- Clinical Medicine Department, Medical College, Qingdao University, Shandong, China
| | - Jing-Wen Chen
- Clinical Medicine Department, Medical College, Qingdao University, Shandong, China
| | - Jun-Hua Yuan
- Special Medicine Department, Medical College, Qingdao University, Shandong, China
| | - Rui Wang
- Special Medicine Department, Medical College, Qingdao University, Shandong, China
| | - Cai-Shun Zhang
- Special Medicine Department, Medical College, Qingdao University, Shandong, China
| | - Liu-Xin Wang
- Special Medicine Department, Medical College, Qingdao University, Shandong, China
| | - Jing Dong
- Special Medicine Department, Medical College, Qingdao University, Shandong, China
- Physiology Department, Medical College, Qingdao University, Shandong, China
- *Correspondence: Jing Dong
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Abstract
With the rising incidence and prevalence rates of type 2 diabetes globally, it is imperative that diabetes prevention strategies are implemented to stem the flow of new cases. Successful interventions include both lifestyle modification and pharmaceutical agents, and large, multicentre, randomised, controlled studies in different populations have identified the benefits of both. However, translating positive trial outcomes to the real world is particularly challenging, as lifestyle interventions require regular reinforcement from healthcare professionals to be maintained. Pharmaceutical therapies may therefore play an adjunctive role in combination with lifestyle to prevent diabetes. Population-based strategies are also necessary to reduce sedentary behaviour and obesity. Well-established glucose-lowering therapies such as metformin, sulphonylureas, thiazolidinediones and insulin and newer agents such as incretin therapies and sodium glucose co-transporter 2 inhibitors have all been investigated in randomised controlled trials for diabetes prevention with varying success. Non-glucose-lowering therapies such as orlistat and renin angiotensin system blockers can prevent diabetes, whereas statins are associated with slightly increased risk. Diabetes prevention strategies should carefully consider the use of these agents according to individual patient circumstances and phenotypic profile.
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Hemmingsen B, Sonne DP, Metzendorf M, Richter B. Insulin secretagogues for prevention or delay of type 2 diabetes mellitus and its associated complications in persons at increased risk for the development of type 2 diabetes mellitus. Cochrane Database Syst Rev 2016; 10:CD012151. [PMID: 27749986 PMCID: PMC6461156 DOI: 10.1002/14651858.cd012151.pub2] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND The projected rise in the incidence of type 2 diabetes mellitus (T2DM) could develop into a substantial health problem worldwide. Whether insulin secretagogues (sulphonylureas and meglitinide analogues) are able to prevent or delay T2DM and its associated complications in people at risk for the development of T2DM is unknown. OBJECTIVES To assess the effects of insulin secretagogues on the prevention or delay of T2DM and its associated complications in people with impaired glucose tolerance, impaired fasting blood glucose, moderately elevated glycosylated haemoglobin A1c (HbA1c) or any combination of these. SEARCH METHODS We searched the Cochrane Central Register of Controlled Trials, MEDLINE, PubMed, Embase, ClinicalTrials.gov, the World Health Organization International Clinical Trials Registry Platform, and the reference lists of systematic reviews, articles and health technology assessment reports. We asked investigators of the included trials for information about additional trials. The date of the last search of all databases was April 2016. SELECTION CRITERIA We included randomised controlled trials (RCTs) with a duration of 12 weeks or more comparing insulin secretagogues with any pharmacological glucose-lowering intervention, behaviour-changing intervention, placebo or no intervention in people with impaired fasting glucose, impaired glucose tolerance, moderately elevated HbA1c or combinations of these. DATA COLLECTION AND ANALYSIS Two review authors read all abstracts and full-text articles/records, assessed quality and extracted outcome data independently. One review author extracted data which were checked by a second review author. We resolved discrepancies by consensus or the involvement of a third review author. For meta-analyses we used a random-effects model with investigation of risk ratios (RRs) for dichotomous outcomes and mean differences (MDs) for continuous outcomes, using 95% confidence intervals (CIs) for effect estimates. We carried out trial sequential analyses (TSAs) for all outcomes that could be meta-analysed. We assessed the overall quality of the evidence by using the GRADE instrument. MAIN RESULTS We included six RCTs with 10,018 participants; 4791 participants with data on allocation to intervention groups were randomised to a second- or third-generation sulphonylurea or a meglitinide analogue as monotherapy and 29 participants were randomised to a second-generation sulphonylurea plus metformin. Three trials investigated a second-generation sulphonylurea, two trials investigated a third-generation sulphonylurea and one trial a meglitinide analogue. A total of 4873 participants with data on allocation to control groups were randomised to a comparator group; 4820 participants were randomised to placebo, 23 to diet and exercise, and 30 participants to metformin monotherapy. One RCT of nateglinide contributed 95% of all participants. The duration of the intervention varied from six months to five years. We judged none of the included trials as at low risk of bias for all 'Risk of bias' domains.All-cause and cardiovascular mortality following sulphonylurea (glimepiride) treatment were rarely observed (very low-quality evidence). The RR for incidence of T2DM comparing glimepiride monotherapy with placebo was 0.75; 95% CI 0.54 to 1.04; P = 0.08; 2 trials; 307 participants; very low-quality evidence. One of the trials reporting on the incidence of T2DM did not define the diagnostic criteria used. The other trial diagnosed T2DM as two consecutive fasting blood glucose values ≥ 6.1 mmol/L. TSA showed that only 4.5% of the diversity-adjusted required information size was accrued so far. No trial reported data on serious adverse events, non-fatal myocardial infarction (MI), non-fatal stroke, congestive heart failure (HF), health-related quality of life or socioeconomic effects.One trial with a follow-up of five years compared a meglitinide analogue (nateglinide) with placebo. A total of 310/4645 (6.7%) participants allocated to nateglinide died compared with 312/4661 (6.7%) participants allocated to placebo (hazard ratio (HR) 1.00; 95% CI 0.85 to 1.17; P = 0.98; moderate-quality evidence). The two main criteria for diagnosing T2DM were a fasting plasma glucose level ≥ 7.0 mmol/L or a 2-hour post challenge glucose ≥ 11.1 mmol/L. T2DM developed in 1674/4645 (36.0%) participants in the nateglinide group and in 1580/4661 (33.9%) in the placebo group (HR 1.07; 95% CI 1.00 to 1.15; P = 0.05; moderate-quality evidence). One or more serious adverse event was reported in 2066/4602 (44.9%) participants allocated to nateglinide compared with 2089/4599 (45.6%) participants allocated to placebo. A total of 126/4645 (2.7%) participants allocated to nateglinide died because of cardiovascular disease compared with 118/4661 (2.5%) participants allocated to placebo (HR 1.07; 95% CI 0.83 to 1.38; P = 0.60; moderate-quality evidence). Comparing participants receiving nateglinide with those receiving placebo for the outcomes MI, non-fatal stroke and HF gave the following event rates: MI 116/4645 (2.5%) versus 122/4661 (2.6%), stroke 100/4645 (2.2%) versus 110/4661 (2.4%) and numbers hospitalised for HF 85/4645 (1.8%) versus 100/4661 (2.1%) - (HR 0.85; 95% CI 0.64 to 1.14; P = 0.27). The quality of the evidence was moderate for all these outcomes. Health-related quality of life or socioeconomic effects were not reported. AUTHORS' CONCLUSIONS There is insufficient evidence to demonstrate whether insulin secretagogues compared mainly with placebo reduce the risk of developing T2DM and its associated complications in people at increased risk for the development of T2DM. Most trials did not investigate patient-important outcomes.
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Affiliation(s)
- Bianca Hemmingsen
- Herlev University HospitalDepartment of Internal MedicineHerlev Ringvej 75HerlevDenmarkDK‐2730
| | - David Peick Sonne
- Gentofte Hospital, University of CopenhagenCenter for Diabetes Research, Department of MedicineKildegaardsvej 28HellerupDenmarkDK‐2900
| | - Maria‐Inti Metzendorf
- Institute of General Practice, Medical Faculty of the Heinrich‐Heine‐University DüsseldorfCochrane Metabolic and Endocrine Disorders GroupMoorenstr. 5DüsseldorfGermany40225
| | - Bernd Richter
- Institute of General Practice, Medical Faculty of the Heinrich‐Heine‐University DüsseldorfCochrane Metabolic and Endocrine Disorders GroupMoorenstr. 5DüsseldorfGermany40225
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Selph S, Dana T, Blazina I, Bougatsos C, Patel H, Chou R. Screening for type 2 diabetes mellitus: a systematic review for the U.S. Preventive Services Task Force. Ann Intern Med 2015; 162:765-76. [PMID: 25867111 DOI: 10.7326/m14-2221] [Citation(s) in RCA: 94] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Screening for type 2 diabetes mellitus could lead to earlier identification and treatment of asymptomatic diabetes, impaired fasting glucose (IFG), or impaired glucose tolerance (IGT), potentially resulting in improved outcomes. PURPOSE To update the 2008 U.S. Preventive Services Task Force review on diabetes screening in adults. DATA SOURCES Cochrane databases and MEDLINE (2007 through October 2014) and relevant studies from previous Task Force reviews. STUDY SELECTION Randomized, controlled trials; controlled, observational studies; and systematic reviews. DATA EXTRACTION Data were abstracted by 1 investigator and checked by a second; 2 investigators independently assessed study quality. DATA SYNTHESIS In 2 trials, screening for diabetes was associated with no 10-year mortality benefit versus no screening (hazard ratio, 1.06 [95% CI, 0.90 to 1.25]). Sixteen trials consistently found that treatment of IFG or IGT was associated with delayed progression to diabetes. Most trials of treatment of IFG or IGT found no effects on all-cause or cardiovascular mortality, although lifestyle modification was associated with decreased risk for both outcomes after 23 years in 1 trial. For screen-detected diabetes, 1 trial found no effect of an intensive multifactorial intervention on risk for all-cause or cardiovascular mortality versus standard control. In diabetes that was not specifically screen-detected, 9 systematic reviews found that intensive glucose control did not reduce risk for all-cause or cardiovascular mortality and results for intensive blood pressure control were inconsistent. LIMITATION The review was restricted to English-language articles, and few studies were conducted in screen-detected populations. CONCLUSION Screening for diabetes did not improve mortality rates after 10 years of follow-up. More evidence is needed to determine the effectiveness of treatments for screen-detected diabetes. Treatment of IFG or IGT was associated with delayed progression to diabetes. PRIMARY FUNDING SOURCE Agency for Healthcare Research and Quality.
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Affiliation(s)
- Shelley Selph
- From Pacific Northwest Evidence-based Practice Center and Oregon Health & Science University, Portland, Oregon
| | - Tracy Dana
- From Pacific Northwest Evidence-based Practice Center and Oregon Health & Science University, Portland, Oregon
| | - Ian Blazina
- From Pacific Northwest Evidence-based Practice Center and Oregon Health & Science University, Portland, Oregon
| | - Christina Bougatsos
- From Pacific Northwest Evidence-based Practice Center and Oregon Health & Science University, Portland, Oregon
| | - Hetal Patel
- From Pacific Northwest Evidence-based Practice Center and Oregon Health & Science University, Portland, Oregon
| | - Roger Chou
- From Pacific Northwest Evidence-based Practice Center and Oregon Health & Science University, Portland, Oregon
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Stevens JW, Khunti K, Harvey R, Johnson M, Preston L, Woods HB, Davies M, Goyder E. Preventing the progression to type 2 diabetes mellitus in adults at high risk: a systematic review and network meta-analysis of lifestyle, pharmacological and surgical interventions. Diabetes Res Clin Pract 2015; 107:320-31. [PMID: 25638454 DOI: 10.1016/j.diabres.2015.01.027] [Citation(s) in RCA: 95] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2014] [Revised: 10/31/2014] [Accepted: 01/02/2015] [Indexed: 11/29/2022]
Abstract
AIMS Individuals with impaired fasting glucose (IFG) or impaired glucose tolerance (IGT) have an increased risk of progression to Type 2 diabetes mellitus. The objective of this review was to quantify the effectiveness of lifestyle, pharmacological and surgical interventions in reducing the progression to Type 2 diabetes mellitus in people with IFG or IGT. METHODS A systematic review was carried out. A network meta-analysis (NMA) of log-hazard ratios was performed. Results are presented as hazard ratios and the probabilities of treatment rankings. RESULTS 30 studies were included in the NMA. There was a reduced hazard of progression to Type 2 diabetes mellitus associated with all interventions versus standard lifestyle advice; glipizide, diet plus pioglitazone, diet plus exercise plus metformin plus rosiglitazone, diet plus exercise plus orlistat, diet plus exercise plus pedometer, rosiglitazone, orlistat and diet plus exercise plus voglibose produced the greatest effects. CONCLUSIONS Lifestyle and some pharmacological interventions are beneficial in reducing the risk of progression to Type 2 diabetes mellitus. Lifestyle interventions require significant behaviour changes that may be achieved through incentives such as the use of pedometers. Adverse events and cost of pharmacological interventions should be taken into account when considering potential risks and benefits.
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Abstract
Glucose metabolism is normally regulated by a feedback loop including islet β cells and insulin-sensitive tissues, in which tissue sensitivity to insulin affects magnitude of β-cell response. If insulin resistance is present, β cells maintain normal glucose tolerance by increasing insulin output. Only when β cells cannot release sufficient insulin in the presence of insulin resistance do glucose concentrations rise. Although β-cell dysfunction has a clear genetic component, environmental changes play an essential part. Modern research approaches have helped to establish the important role that hexoses, aminoacids, and fatty acids have in insulin resistance and β-cell dysfunction, and the potential role of changes in the microbiome. Several new approaches for treatment have been developed, but more effective therapies to slow progressive loss of β-cell function are needed. Recent findings from clinical trials provide important information about methods to prevent and treat type 2 diabetes and some of the adverse effects of these interventions. However, additional long-term studies of drugs and bariatric surgery are needed to identify new ways to prevent and treat type 2 diabetes and thereby reduce the harmful effects of this disease.
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Affiliation(s)
- Steven E Kahn
- Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, VA Puget Sound Health Care System, University of Washington, Seattle, WA, USA.
| | - Mark E Cooper
- Diabetes Division, Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Stefano Del Prato
- Department of Clinical and Experimental Medicine, University of Pisa School of Medicine, Pisa, Italy
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Restoring Insulin Secretion (RISE): design of studies of β-cell preservation in prediabetes and early type 2 diabetes across the life span. Diabetes Care 2014; 37:780-8. [PMID: 24194506 PMCID: PMC3931376 DOI: 10.2337/dc13-1879] [Citation(s) in RCA: 74] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE The Restoring Insulin Secretion (RISE) Consortium is testing interventions designed to preserve or improve β-cell function in prediabetes or early type 2 diabetes. RESEARCH DESIGN AND METHODS β-Cell function is measured using hyperglycemic clamps and oral glucose tolerance tests (OGTTs). The adult medication protocol randomizes participants to 12 months of placebo, metformin alone, liraglutide plus metformin, or insulin (3 months) followed by metformin (9 months). The pediatric medication protocol randomizes participants to metformin or insulin followed by metformin. The adult surgical protocol randomizes participants to gastric banding or metformin (24 months). Adult medication protocol inclusion criteria include fasting plasma glucose 95-125 mg/dL (5.3-6.9 mmol/L), OGTT 2-h glucose ≥140 mg/dL (≥7.8 mmol/L), HbA1c 5.8-7.0% (40-53 mmol/mol), and BMI 25-40 kg/m(2). Adult surgical protocol criteria are similar, except for fasting plasma glucose ≥90 mg/dL (≥5.0 mmol/L), BMI 30-40 kg/m(2), HbA1c <7.0% (<53 mmol/mol), and diabetes duration <12 months. Pediatric inclusion criteria include fasting plasma glucose ≥90 mg/dL (≥5.0 mmol/L), 2-h glucose ≥140 mg/dL (≥7.8 mmol/L), HbA1c ≤8.0% (≤64 mmol/mol), BMI >85th percentile and ≤50 kg/m(2), 10-19 years of age, and diabetes <6 months. RESULTS Primary outcomes are clamp-derived glucose-stimulated C-peptide secretion and maximal C-peptide response to arginine during hyperglycemia. Measurements are made at baseline, after 12 months on treatment, and 3 months after treatment withdrawal (medication protocols) or 24 months postintervention (surgery protocol). OGTT-derived measures are also obtained at these time points. CONCLUSIONS RISE is determining whether medication or surgical intervention strategies can mitigate progressive β-cell dysfunction in adults and youth with prediabetes or early type 2 diabetes.
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