Literature DB >> 21788624

Effects of telmisartan on glucose levels in people at high risk for cardiovascular disease but free from diabetes: the TRANSCEND study.

Joshua I Barzilay1, Peggy Gao, Lars Rydén, Helmut Schumacher, Jeffrey Probstfield, Patrick Commerford, Antonio Dans, Rafael Ferreira, Mátyás Keltai, Ernesto Paolasso, Salim Yusuf, Koon Teo.   

Abstract

OBJECTIVE: Several large clinical trials suggest that ACE inhibitors may reduce the incidence of diabetes. Less is known about the effects of angiotensin receptor blockers (ARBs) on reducing incident diabetes or leading to regression of impaired fasting glucose (IFG) or impaired glucose tolerance (IGT) to normoglycemia. RESEARCH DESIGN AND METHODS: Participants were 3,488 adults at high risk for cardiovascular disease but free from diabetes (mean age 67 years; 61% male) in the Telmisartan Randomized Assessment Study in ACE Intolerant Subjects With Cardiovascular Disease (TRANSCEND) study. The participants were randomized to the ARB telmisartan 80 mg (n = 1,726) or placebo (n = 1,762) in addition to usual care.
RESULTS: During a median 56 months, 21.8% of participants treated with telmisartan and 22.4% of those on placebo developed diabetes (relative ratio 0.95 [95% CI 0.83-1.10]; P = 0.51). Participants originally diagnosed with IFG and/or IGT were equally likely to regress to normoglycemia (26.9 vs. 24.5%) or to progress to incident diabetes (20.1 vs. 21.1%; P = 0.59) on telmisartan or placebo.
CONCLUSIONS: There was no evidence that addition of the ARB telmisartan to usual care prevents incident diabetes or leads to regression of IFG or IGT in people at high risk for cardiovascular disease but free from diabetes.

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Year:  2011        PMID: 21788624      PMCID: PMC3161302          DOI: 10.2337/dc11-0545

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


Meta-analyses of hypertension studies show that blockade of the renin angiotensin system by ACE inhibitors and angiotensin receptor blockers (ARBs) is more effective than other classes of blood pressure–lowering medications for the prevention of incident diabetes (1). It is less clear whether renin angiotensin system blockade, as compared with placebo, reduces the risk of incident diabetes when added to usual care therapy in people at high risk for cardiovascular disease or for diabetes. In the Heart Outcomes Prevention Evaluation (HOPE) trial (2), the ACE inhibitor ramipril decreased the risk of self-reported incident diabetes (3.6 vs. 5.4%; relative ratio [RR] 0.66 [95% CI 0.51–0.85]; P < 0.001). In the Nateglinide and Valsartan in Impaired Glucose Tolerance Outcomes Research (NAVIGATOR) trial (3), the ARB valsartan decreased the risk of incident diabetes (33.1 vs. 36.8%; RR 0.86 [0.80–0.92]; P < 0.001). In contrast, the Diabetes Reduction Assessment With Ramipril and Rosiglitazone Medication (DREAM) study (4), which was designed to specifically study the effects of renin angiotensin system blockade on diabetes prevention, found that inhibition with ramipril did not reduce incident diabetes in people with impaired fasting glucose (IFG) and impaired glucose tolerance (IGT) (17.1 vs. 18.5%; RR 0.91 [0.80–1.03]; P = 0.15). The Telmisartan Randomized Assessment Study in ACE Intolerant Subjects With Cardiovascular Disease (TRANSCEND) (5) offers the opportunity to examine the impact of renin angiotensin system inhibition by the ARB telmisartan on incident diabetes and whether this drug may normalize IGT. Telmisartan is of particular interest in this respect because it is believed to be more effective than other ARBs in ameliorating glucose metabolism and insulin resistance (6,7). TRANSCEND contained 3,488 participants without diabetes at baseline. In these participants, we investigated whether addition of telmisartan to usual care reduced the risk of incident diabetes as compared with placebo, a prespecified secondary outcome of the trial. Our study hypothesis was that the ARB telmisartan would decrease incident diabetes. We also determined whether the use of telmisartan leads to regression of IFG and/or IGT, which was not a prespecified outcome.

RESEARCH DESIGN AND METHODS

The design of TRANSCEND has been previously described (5). In brief, all participants had a history of intolerance to ACE inhibitors and were men and women aged ≥55 years with coronary, peripheral, or cerebrovascular disease or diabetes with end organ damage (retinopathy, left ventricular hypertrophy, and albuminuria). Excluded were those in need of or unable to discontinue renin angiotensin system inhibition or who had known hypersensitivity to ARBs. People with symptomatic heart failure, significant primary valvular or cardiac outflow tract obstruction, constrictive pericarditis, complex congenital heart disease, syncope of unknown etiology, planned cardiac surgery or percutaneous coronary intervention within the previous 3 months, uncontrolled hypertension on treatment, heart transplantation, stroke as the result of subarachnoid hemorrhage, significant renal artery stenosis, creatinine levels ≥3.0 mg/dL (>265 μmol/L), hepatic dysfunction, and macroalbuminuria were excluded. TRANSCEND was conducted in 630 clinics in 40 countries. The study was coordinated at the Population Health Research Institute, McMaster University, and Hamilton Health Sciences, Hamilton, Ontario, Canada. The trial was approved by each center’s ethics committee. All participants provided written informed consent.

Run in and randomization

Eligible subjects were entered into a single blind run-in period involving placebo daily for 1 week followed by 2 weeks of telmisartan 80 mg daily. At the end of this period, they were randomized in a 1:1 ratio by use of an automated system to telmisartan or placebo. Of the 6,666 subjects who entered run in, 5,926 were randomized (2,954 to telmisartan and 2,972 to placebo). Follow-up visits were at 6 weeks, 6 months, and then every 6 months until study closeout. Both participants and trialists were blinded to treatment allocation.

Diagnosis of diabetes, IFG, and IGT

Diabetes was diagnosed by fasting glucose (FG) >125 mg/dL (>6.9 mmol/L) or 2-h glucose >199 mg/dL (>11.1 mmol/L) on an oral glucose tolerance test (OGTT) at clinic visit, or new diabetes reported by physician. OGTTs were performed at study entrance, year 2, and penultimate follow-up visit before scheduled closeout. Physician report of diabetes was based on FG level >125 mg/dL in the office, 2-h OGTT >199 mg/dL on OGTT done in the doctor’s office, A1C 1.1 times the upper limit of normal, or use of antihyperglycemic agents. The physician reports were not verified. Physician visits were every 6 months. Participants with a clinic FG value 100–125 mg/dL (5.6–6.9 mmol/L) or FG 100–125 mg/dL on OGTT were considered to have IFG. Those who had a 2-h glucose level of 140–199 mg/dL (7.8–11.1 mmol/L) on OGTT were defined as having IGT.

Statistical analysis

Continuous data are given as mean and SDs and categorical data as actual frequencies and percentages. The primary analyses used a time-to-event approach and included all randomized participants without diabetes. The effect of treatment on incident diabetes was compared among participants with normal glucose and IFG and/or IGT at baseline. Treatment comparisons with regard to time-to-event related data are shown as hazard ratios (HRs) with 95% CI. Consistency of treatment effects in different subgroups was explored by Cox regression model, with tests for interaction. We used χ2 test to compare the proportions of participants with IFG and/or IGT at baseline who regressed to normal, remained IFG and/or IGT, and developed to diabetes at 2 years between telmisartan and placebo. For those participants who regressed to normal at 2 years, their status at 5 years was also compared. Analyses were carried out using SAS Version 8.2 (SAS Institute Inc., Cary, NC). A two-tailed P < 0.05 was considered statistically significant. The study was designed and conducted by the steering committee. The study sponsor received the data only after the study had been completed. All data were received, checked, and analyzed independently by the Population Health Research Institute for the duration of the trial.

RESULTS

Of the 5,926 TRANSCEND participants, 2,438 (41.4%) were excluded because of a diagnosis of diabetes at baseline, an FG >125 mg/dL at the run-in visit, and/or a baseline FG >125 mg/dL and/or 2-h glucose >199 mg/dL on OGTT. The mean age of the cohort without diabetes at baseline was 67 years, 39% was female, the majority was European, 80% had a history of coronary artery disease, and 72% had hypertension (Table 1). There were no significant differences between subjects randomized to telmisartan (n = 1,726) or to placebo (n = 1,762) in terms of demographic, laboratory, national origin, glycemic status, prevalent cardiovascular disease, smoking status, and concomitant medication use.
Table 1

Baseline characteristics of TRANSCEND participants without diabetes at baseline categorized by assigned treatment

Telmisartan (n = 1,726)Placebo (n = 1,762)
Demographic
 Age (years)66.9 (7.5)67.1 (7.5)
 Blood pressure (mmHg)140.0 (17.0)/82.0 (10.0)140.2 (16.3)/82.1 (10.1)
 Sex (female)680 (39.4)689 (39.1)
 BMI (kg/m2)27.6 (4.2)27.5 (4.2)
 Waist-to-hip ratio0.9 (0.1)0.9 (0.1)
 Heart rate (bpm)67.2 (11.5)67.2 (11.9)
Laboratory
 Total cholesterol (mg/dL)195.0 (43.2)195.0 (43.2)
 LDL cholesterol (mg/dL)116.2 (37.8)116.6 (38.2)
 HDL cholesterol (mg/dL)49.8 (13.1)50.2 (14.7)
 Triglycerides (mg/dL)145.1 (85.8)146.9 (83.2)
 FG mean (mg/dL)95.9 (12.3)95.7 (12.1)
 FG median (mg/dL)95.595.5
 FG interquartile range (mg/dL)87.7–102.988.3–104.0
 2-h Glucose mean (mg/dL)120.9 (32.8)120.4 (32.6)
 2-h Glucose median (mg/dL)117.1117.1
 2-h Glucose interquartile range (mg/dL)96.9–142.395.5–142.3
 Creatinine (mg/dL)1.22 (0.3)1.22 (0.3)
 Potassium (mg/dL)4.36 (0.44)4.34 (0.45)
 Microalbuminuria (%)128 (7.4)114 (6.5)
 Macroalbuminuria (%)8 (0.5)16 (0.9)
Ethnicity (%)
 Asian335 (19.4)327 (18.6)
 Arab15 (0.9)14 (0.8)
 African23 (1.3)22 (1.2)
 European1,125 (65.2)1,152 (65.4)
 Native or Aboriginal208 (12.1)224 (12.7)
 Other20 (1.2)23 (1.3)
Prevalent cardiovascular disease (%)
 Coronary artery disease1,376 (79.7)1,412 (80.1)
 Myocardial infarction887 (51.4)911 (51.7)
 Angina pectoris868 (50.3)877 (49.8)
 Stable679 (39.3)694 (39.4)
 Unstable291 (16.9)257 (14.6)
 Stroke or transient ischemic attack442 (25.6)428 (24.3)
 Peripheral artery disease205 (11.9)190 (10.8)
 Hypertension1,253 (72.6)1,255 (71.2)
 Left ventricular hypertrophy193 (11.2)208 (11.8)
 Coronary artery bypass grafting344(19.9)342 (19.4)
 Percutaneous transluminal coronary angioplasty507 (29.4)513 (29.1)
Smoking status (%)
 Current smoker187 (10.8)192 (10.9)
 Past smoker799 (46.3)819 (46.5)
Medications at baseline (%)
 Statin990 (57.4)1,012 (57.4)
 Fibrate47 (2.7)61 (3.5)
 Estrogens with or without progesterone (women)58 (8.5)63 (9.1)
 β-Blocker1,062 (61.5)1,062 (60.3)
 Aspirin1,360 (78.8)1,381 (78.4)
 Clopidogrel or ticlopidine204 (11.8)202 (11.5)
 Antiplatelet agent1,449 (84.0)1,470 (83.4)
 Diuretic520 (30.1)509 (28.9)
 Calcium channel blocker638 (37.0)679 (38.5)

Data are means (SD), medians, or percentages. To convert mg/dL to mmol, multiply by 0.0259 for total cholesterol, LDL cholesterol, and HDL cholesterol; 0.0555 for glucose; 0.0113 for triglycerides; 1.0 for potassium; and 76.26 for creatinine.

Baseline characteristics of TRANSCEND participants without diabetes at baseline categorized by assigned treatment Data are means (SD), medians, or percentages. To convert mg/dL to mmol, multiply by 0.0259 for total cholesterol, LDL cholesterol, and HDL cholesterol; 0.0555 for glucose; 0.0113 for triglycerides; 1.0 for potassium; and 76.26 for creatinine. During a median follow-up of 56 months (interquartile range 51–64 months), 16.5% of telmisartan-treated and 19.1% of placebo-treated participants permanently discontinued study medication (P = 0.043). In addition, 5.1 and 7.0%, respectively, of participants were taking open-label, nonstudy ARB medications by study end (P = 0.027).

IFG and/or IGT

As shown in Fig. 1, of the 3,488 participants at baseline without diabetes, there were 1,383 (39.7%) with IFG, of whom 296 (21.4%) also had IGT. Of the 2,091 with baseline FG levels <100 mg/dL (59.9%), 178 (8.5%) had IGT. In total, there were 809 + 1,104 = 1,913 participants with FG <100 mg/dL and either a 2-h glucose <140 mg/dL or no evidence of raised 2-h glucose. There were 515 + 572 = 1,087 with IFG only, 296 with IFG and IGT, and 178 with IGT only. There was a total of 1,561 (44.8% of the cohort without diabetes at baseline) with IFG and/or IGT.
Figure 1

Prevalence of IFG and/or IGT in the nondiabetic TRANSCEND cohort at baseline. DM, diabetes mellitus.

Prevalence of IFG and/or IGT in the nondiabetic TRANSCEND cohort at baseline. DM, diabetes mellitus.

Incident diabetes

As shown in Fig. 2, of the 3,488 nondiabetic participants, 3,109 (89.1%) underwent an OGTT at year 2 of follow-up and/or had an FG level drawn at the year 2 clinic visit. Of these, 414 (13.3%) had incident diabetes. An additional 34 (1.1%) participants had incident diabetes based on a physician report by year 2. From among the remaining 2,661 participants, 269 (10.1%) were determined to have incident diabetes by OGTT or clinic FG level at the penultimate visit. Of the remaining 2,392 without diabetes (of whom 1,622 had a penultimate OGTT), an additional 29 (1.2%) were reported to have diabetes by their physician after the year 2 visit.
Figure 2

Incident diabetes in the nondiabetic TRANSCEND cohort. The criteria for physician diagnosis of diabetes (during every 6-month visit) were predefined as one or more of the following: 1) use of glucose-lowering agents, 2) HbA1c 1.1 times the upper limit of normal, and 3) FG >125 mg/dL (>6.9 mmol/L) with performance of a confirmatory OGTT with cutoff criteria identical to those in the main study. Participants who did not satisfy any of the OGTT criteria or the FG criterion were considered free of diabetes. DM, diabetes mellitus.

Incident diabetes in the nondiabetic TRANSCEND cohort. The criteria for physician diagnosis of diabetes (during every 6-month visit) were predefined as one or more of the following: 1) use of glucose-lowering agents, 2) HbA1c 1.1 times the upper limit of normal, and 3) FG >125 mg/dL (>6.9 mmol/L) with performance of a confirmatory OGTT with cutoff criteria identical to those in the main study. Participants who did not satisfy any of the OGTT criteria or the FG criterion were considered free of diabetes. DM, diabetes mellitus. From among the 379 participants without an OGTT or FG value at the year 2 visit, 9 (2.4%) were reported to have diabetes by their physician up until the year 2 visit. Of the remaining 370 participants, 11 (3.0%) had incident diabetes based on OGTT or FG at the penultimate visit. An additional five participants were reported to have incident diabetes by their treating physician after year 2. In total, there were 771 (22.1%) participants in the baseline nondiabetic cohort who developed incident diabetes.

Risk of incident diabetes categorized by medication assignment

Table 2 shows that 21.8% of participants treated with telmisartan and 22.4% on placebo developed incident diabetes (HR 0.95 [95% CI 0.83–1.10]; P = 0.51) during follow-up. In subgroup analysis, participants with normal glucose status and those with IFG and/or IGT had similar HR estimates (interaction P = 0.19). Supplementary Fig. 1 shows the cumulative rates of incident diabetes categorized by risk factors for diabetes—waist-to-hip ratio, BMI, presence of hypertension, presence of albuminuria, and use of β-blockers or diuretics. There were no differences between subjects randomized to telmisartan or placebo.
Table 2

Cumulative incidence of diabetes and regression of IFG and/or IGT in TRANSCEND participants without diabetes at baseline

TelmisartanPlaceboHR (95% CI)P value
Total nondiabetic cohort at baselinen = 1,726 376 (21.8)n = 1,762 395 (22.4)0.95 (0.83–1.10)0.51
FG <100 mg/dL and 2-h glucose <140 mg/dL at baseline*n = 951 118 (12.4)n = 962 134 (13.9)0.85 (0.67–1.09)0.21
IFG and/or IGT at baselinen = 769 258 (33.6)n = 792 259 (32.7)1.05 (0.88–1.24)0.61

Data are n (%) unless otherwise indicated. Diabetes was diagnosed by FG >125 mg/dL (>6.9 mmol/L) or 2-h glucose >199 mg/dL (>11.1 mmol/L) on OGTT at clinic visit, or new diabetes reported by physician. Physician report of diabetes was based on antihyperglycemic agent use, FG >125 mg/dL in the office, 2-h OGTT >199 mg/dL on OGTT done in the doctor’s office, A1C 1.1 times the upper limit of normal, or use of antihyperglycemic agents.

*<100 mg/dL = <5.6 mmol/L; <140 mg/dL = <7.8 mmol/L.

Cumulative incidence of diabetes and regression of IFG and/or IGT in TRANSCEND participants without diabetes at baseline Data are n (%) unless otherwise indicated. Diabetes was diagnosed by FG >125 mg/dL (>6.9 mmol/L) or 2-h glucose >199 mg/dL (>11.1 mmol/L) on OGTT at clinic visit, or new diabetes reported by physician. Physician report of diabetes was based on antihyperglycemic agent use, FG >125 mg/dL in the office, 2-h OGTT >199 mg/dL on OGTT done in the doctor’s office, A1C 1.1 times the upper limit of normal, or use of antihyperglycemic agents. *<100 mg/dL = <5.6 mmol/L; <140 mg/dL = <7.8 mmol/L.

Regression or progression of IFG and/or IGT

Table 3 shows that at year 2, there was no significant difference in the proportion of participants with IFG and/or IGT who regressed to normal glucose status on telmisartan (26.9%) as compared with placebo (24.5%). Likewise, a similar proportion progressed to incident diabetes in the two treatment groups (20.1 vs. 21.1%, respectively). Of those with IFG and/or IGT at baseline who regressed to normal glucose at year 2, there were no differences in glucose status at year 5 between treatment groups.
Table 3

Glucose status at 2 years and 5 years of TRANSCEND participants with IFG and/or IGT at baseline

TelmisartanPlaceboP value
Glucose status at 2 years of participants with IFG/IGT at baseline
  IFG/IGT at baseline769792
  Known glucose status at 2 years706705
  Regression to normal at 2 years190 (26.9)173 (24.5)
  Remains IFG/IGT at 2 years374 (53.0)383 (54.3)
  Develops diabetes at 2 years142 (20.1)149 (21.1)0.59
Glucose status at 5 years of participants with IFG/IGT at baseline and regression to normal at 2 years
  IFG/IGT at baseline with regression to  normal at 2 years190173
  Known glucose status at 5 years169145
  Remains normal at 5 years59 (34.9)57 (39.3)
  Develops IFG/IGT at 5 years95 (56.2)72 (49.7)
  Develops diabetes at 5 years15 (8.9)16 (11.0)0.49

Data are n (%). Normal = FG <100 and 2-h glucose <140 mg/dL (<5.6 and <7.8 mmol/L); IFG = FG 100–125 mg/dL (5.6–6.9 mmol/L); IGT = 2-h glucose 140–199 mg/dL (7.8–11.1 mmol/L); diabetes = FG >125 or 2-h glucose >199 mg/dL (>6.9 or >11.1 mmol/L).

Glucose status at 2 years and 5 years of TRANSCEND participants with IFG and/or IGT at baseline Data are n (%). Normal = FG <100 and 2-h glucose <140 mg/dL (<5.6 and <7.8 mmol/L); IFG = FG 100–125 mg/dL (5.6–6.9 mmol/L); IGT = 2-h glucose 140–199 mg/dL (7.8–11.1 mmol/L); diabetes = FG >125 or 2-h glucose >199 mg/dL (>6.9 or >11.1 mmol/L).

CONCLUSIONS

In this study of nondiabetic adults at high risk for cardiovascular disease, there was no evidence that the addition of telmisartan to ongoing therapy prevented the development of incident diabetes. This finding was not consistent with our study hypothesis. Telmisartan also neither prevented a deterioration of glucose tolerance over time nor improved glucose status in participants with IFG and/or IGT. Our findings contrast with those of NAVIGATOR (3), the only other ARB-based study to examine the impact of renin angiotensin system blockade on incident diabetes. Several factors may explain this discrepancy. NAVIGATOR, comprising >4,600 participants in each arm, was much larger than TRANSCEND, which limited the power to detect a small risk reduction. We estimated there was only 36% power to detect a 10% risk reduction of diabetes with telmisartan compared with placebo. Second, NAVIGATOR was a study of people with IGT, whereas the present population contained a majority of people with normal glucose tolerance and thereby at lower risk for incident diabetes. Third, participants in TRANSCEND were more likely than those in NAVIGATOR to be on β-blockers (∼60 vs. 40%), which are known to raise blood glucose (8), possibly hindering any glucose sparing effect of telmisartan. Fourth, TRANSCEND included older individuals (by ∼4 years) with cardiovascular disease (∼80%) than did NAVIGATOR (∼24%). Both age and cardiovascular disease increase insulin resistance (9,10), making it more difficult to detect an effect of an ARB on glucose metabolism. Last, TRANSCEND included more ethnic groups at higher risk of glucose disorders (e.g., Asians) (11) than NAVIGATOR, which enrolled predominantly Caucasians. Our results also contrast with those of hypertension studies that reported lower incident diabetes rates with renin angiotensin system blockade, mainly ACE inhibitors (4,12). It should be noted that many of these studies were post hoc analyses in which incident diabetes was not a prespecified outcome. The results relied on physician-reported or self-reported incident diabetes and did not measure FG or obtain 2-h postchallenge levels. This makes it likely that many subjects with seemingly normal glucose metabolism would have been diagnosed with new-onset diabetes if thoroughly investigated (13,14). Last, several studies reported lower incident diabetes rates with renin angiotensin system blockade compared with β-blockers and thiazide diuretics, medications which are known to increase glucose levels. ARBs are believed to be insulin sensitizing through their effects on muscle, microcirculation, and pancreatic β-cells (12). Telmisartan is also believed to be able to activate peroxisome proliferator–activated receptor-γ, a nuclear receptor regulator of carbohydrate metabolism (6). This effect is due to telmisartan’s structural similarity with pioglitazone, a proliferator–activated receptor-γ agonist used for the treatment of diabetes (7). Other ARBs do not have this structural characteristic. Despite these potential advantages, we found no statistically significant impact of telmisartan on glucose disorders in this study. These findings are supported by a recent clinical study of individuals with insulin resistance (15), which failed to demonstrate an effect of telmisartan on measures of glucose metabolism and insulin sensitivity. In addition, another study of the ARB valsartan did not show improvement in insulin responsiveness in subjects with IGT (16). As such, our results are consistent with other studies. TRANSCEND has advantages, including rigorous determination of diabetes status, complete ascertainment of end points, and ethnic diversity. A limitation should be noted. There was a relatively high rate of discontinuations from assigned medications. The rate of discontinuation was also unequal (16.5% of telmisartan-treated vs. 19.1% of placebo-treated participants). This would have the effect of muting any clinical effect and diluting our ability to detect small differences between telmisartan and placebo therapies. In closing, it would be of benefit were treatment of diabetes-related comorbidities or risk factors able to lower glucose levels or prevent diabetes from developing. This would be especially attractive for “nondiabetic drugs” (17). In this study, no evidence for such was found with the addition of telmisartan to usual therapy in people without diabetes but at high risk for cardiovascular disease.
  17 in total

1.  Hypertension and antihypertensive therapy as risk factors for type 2 diabetes mellitus. Atherosclerosis Risk in Communities Study.

Authors:  T W Gress; F J Nieto; E Shahar; M R Wofford; F L Brancati
Journal:  N Engl J Med       Date:  2000-03-30       Impact factor: 91.245

2.  Incident diabetes in clinical trials of antihypertensive drugs: a network meta-analysis.

Authors:  William J Elliott; Peter M Meyer
Journal:  Lancet       Date:  2007-01-20       Impact factor: 79.321

3.  A European evidence-based guideline for the prevention of type 2 diabetes.

Authors:  B Paulweber; P Valensi; J Lindström; N M Lalic; C J Greaves; M McKee; K Kissimova-Skarbek; S Liatis; E Cosson; J Szendroedi; K E Sheppard; K Charlesworth; A-M Felton; M Hall; A Rissanen; J Tuomilehto; P E Schwarz; M Roden; M Paulweber; A Stadlmayr; L Kedenko; N Katsilambros; K Makrilakis; Z Kamenov; P Evans; A Gilis-Januszewska; K Lalic; A Jotic; P Djordevic; V Dimitrijevic-Sreckovic; U Hühmer; B Kulzer; S Puhl; Y H Lee-Barkey; A AlKerwi; C Abraham; W Hardeman; T Acosta; M Adler; A AlKerwi; N Barengo; R Barengo; J M Boavida; K Charlesworth; V Christov; B Claussen; X Cos; E Cosson; S Deceukelier; V Dimitrijevic-Sreckovic; P Djordjevic; P Evans; A-M Felton; M Fischer; R Gabriel-Sanchez; A Gilis-Januszewska; M Goldfracht; J L Gomez; C J Greaves; M Hall; U Handke; H Hauner; J Herbst; N Hermanns; L Herrebrugh; C Huber; U Hühmer; J Huttunen; A Jotic; Z Kamenov; S Karadeniz; N Katsilambros; M Khalangot; K Kissimova-Skarbek; D Köhler; V Kopp; P Kronsbein; B Kulzer; D Kyne-Grzebalski; K Lalic; N Lalic; R Landgraf; Y H Lee-Barkey; S Liatis; J Lindström; K Makrilakis; C McIntosh; M McKee; A C Mesquita; D Misina; F Muylle; A Neumann; A C Paiva; P Pajunen; B Paulweber; M Peltonen; L Perrenoud; A Pfeiffer; A Pölönen; S Puhl; F Raposo; T Reinehr; A Rissanen; C Robinson; M Roden; U Rothe; T Saaristo; J Scholl; P E Schwarz; K E Sheppard; S Spiers; T Stemper; B Stratmann; J Szendroedi; Z Szybinski; T Tankova; V Telle-Hjellset; G Terry; D Tolks; F Toti; J Tuomilehto; A Undeutsch; C Valadas; P Valensi; D Velickiene; P Vermunt; R Weiss; J Wens; T Yilmaz
Journal:  Horm Metab Res       Date:  2010-04-13       Impact factor: 2.936

4.  Effect of ramipril on the incidence of diabetes.

Authors:  Jackie Bosch; Salim Yusuf; Hertzel C Gerstein; Janice Pogue; Patrick Sheridan; Gilles Dagenais; Rafael Diaz; Alvaro Avezum; Fernando Lanas; Jeffrey Probstfield; George Fodor; Rury R Holman
Journal:  N Engl J Med       Date:  2006-09-15       Impact factor: 91.245

5.  Effect of nateglinide on the incidence of diabetes and cardiovascular events.

Authors:  Rury R Holman; Steven M Haffner; John J McMurray; M Angelyn Bethel; Björn Holzhauer; Tsushung A Hua; Yuri Belenkov; Mitradev Boolell; John B Buse; Brendan M Buckley; Antonio R Chacra; Fu-Tien Chiang; Bernard Charbonnel; Chun-Chung Chow; Melanie J Davies; Prakash Deedwania; Peter Diem; Daniel Einhorn; Vivian Fonseca; Gregory R Fulcher; Zbigniew Gaciong; Sonia Gaztambide; Thomas Giles; Edward Horton; Hasan Ilkova; Trond Jenssen; Steven E Kahn; Henry Krum; Markku Laakso; Lawrence A Leiter; Naomi S Levitt; Viacheslav Mareev; Felipe Martinez; Chantal Masson; Theodore Mazzone; Eduardo Meaney; Richard Nesto; Changyu Pan; Rudolf Prager; Sotirios A Raptis; Guy E H M Rutten; Herbert Sandstroem; Frank Schaper; Andre Scheen; Ole Schmitz; Isaac Sinay; Vladimir Soska; Steen Stender; Gyula Tamás; Gianni Tognoni; Jaako Tuomilehto; Alberto S Villamil; Juraj Vozár; Robert M Califf
Journal:  N Engl J Med       Date:  2010-03-14       Impact factor: 91.245

6.  The angiotensin II receptor blocker telmisartan improves insulin resistance and has beneficial effects in hypertensive patients with type 2 diabetes and poor glycemic control.

Authors:  Akiko Yamana; Mikio Arita; Machi Furuta; Yoshinori Shimajiri; Tokio Sanke
Journal:  Diabetes Res Clin Pract       Date:  2008-08-09       Impact factor: 5.602

7.  Glucose metabolism in patients with acute myocardial infarction and no previous diagnosis of diabetes mellitus: a prospective study.

Authors:  Anna Norhammar; Ake Tenerz; Göran Nilsson; Anders Hamsten; Suad Efendíc; Lars Rydén; Klas Malmberg
Journal:  Lancet       Date:  2002-06-22       Impact factor: 79.321

Review 8.  Could mitochondrial efficiency explain the susceptibility to adiposity, metabolic syndrome, diabetes and cardiovascular diseases in South Asian populations?

Authors:  Raj S Bhopal; Snorri B Rafnsson
Journal:  Int J Epidemiol       Date:  2009-05-07       Impact factor: 7.196

Review 9.  The cardiometabolic syndrome and sarcopenic obesity in older persons.

Authors:  Ligia J Dominguez; Mario Barbagallo
Journal:  J Cardiometab Syndr       Date:  2007

10.  Rationale, design, and baseline characteristics of 2 large, simple, randomized trials evaluating telmisartan, ramipril, and their combination in high-risk patients: the Ongoing Telmisartan Alone and in Combination with Ramipril Global Endpoint Trial/Telmisartan Randomized Assessment Study in ACE Intolerant Subjects with Cardiovascular Disease (ONTARGET/TRANSCEND) trials.

Authors:  Koon Teo; Salim Yusuf; Peter Sleight; Craig Anderson; Farouk Mookadam; Barbara Ramos; Lutz Hilbrich; Janice Pogue; Helmut Schumacher
Journal:  Am Heart J       Date:  2004-07       Impact factor: 4.749

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  10 in total

Review 1.  The glycemic effects of antihypertensive medications.

Authors:  Joshua I Barzilay; Barry R Davis; Paul K Whelton
Journal:  Curr Hypertens Rep       Date:  2014-01       Impact factor: 5.369

2.  Does renin angiotensin system blockade deserve preferred status over other anti-hypertensive medications for the treatment of people with diabetes?

Authors:  Joshua I Barzilay; Paul K Whelton; Barry R Davis
Journal:  Ann Transl Med       Date:  2016-05

3.  Low plasma level of atrial natriuretic peptide predicts development of diabetes: the prospective Malmo Diet and Cancer study.

Authors:  Martin Magnusson; Amra Jujic; Bo Hedblad; Gunnar Engström; Margaretha Persson; Joachim Struck; Nils G Morgenthaler; Peter Nilsson; Christopher Newton-Cheh; Thomas J Wang; Olle Melander
Journal:  J Clin Endocrinol Metab       Date:  2011-11-23       Impact factor: 5.958

4.  Prevention of metabolic disorders with telmisartan and indapamide in a Chinese population with high-normal blood pressure.

Authors:  Jie Peng; Yingxin Zhao; Hua Zhang; Zhendong Liu; Zhihao Wang; Mengxiong Tang; Ming Zhong; Fanghong Lu; Wei Zhang
Journal:  Hypertens Res       Date:  2014-10-02       Impact factor: 3.872

Review 5.  Long-term Sustainability of Diabetes Prevention Approaches: A Systematic Review and Meta-analysis of Randomized Clinical Trials.

Authors:  J Sonya Haw; Karla I Galaviz; Audrey N Straus; Alysse J Kowalski; Matthew J Magee; Mary Beth Weber; Jingkai Wei; K M Venkat Narayan; Mohammed K Ali
Journal:  JAMA Intern Med       Date:  2017-12-01       Impact factor: 21.873

6.  Mortality and morbidity in relation to changes in albuminuria, glucose status and systolic blood pressure: an analysis of the ONTARGET and TRANSCEND studies.

Authors:  Roland E Schmieder; Rudolph Schutte; Helmut Schumacher; Michael Böhm; Giuseppe Mancia; Michael A Weber; Matthew McQueen; Koon Teo; Salim Yusuf
Journal:  Diabetologia       Date:  2014-07-19       Impact factor: 10.122

7.  Comparative risk of new-onset diabetes mellitus for antihypertensive drugs: A network meta-analysis.

Authors:  Zimeng Li; Yi Li; Yulong Liu; Wenbo Xu; Qing Wang
Journal:  J Clin Hypertens (Greenwich)       Date:  2017-10-25       Impact factor: 3.738

8.  A retrospective longitudinal cohort study of antihypertensive drug use and new-onset diabetes in Taiwanese patients.

Authors:  Ching-Ya Huang; Tsochiang Ma; Liyun Tien; Yow-Wen Hsieh; Shwu-Yi Lee; Hung-Yi Chen; Gwo-Ping Jong
Journal:  Biomed Res Int       Date:  2012-12-23       Impact factor: 3.411

9.  Different angiotensin receptor blockers and incidence of diabetes: a nationwide population-based cohort study.

Authors:  Chia-Hsuin Chang; Yi-Cheng Chang; Li-Chiu Wu; Jou-Wei Lin; Lee-Ming Chuang; Mei-Shu Lai
Journal:  Cardiovasc Diabetol       Date:  2014-05-14       Impact factor: 9.951

10.  Antihypertensive Drug Use and New-Onset Diabetes in Female Patients with Coronary Artery Disease: A Population-based Longitudinal Cohort Study.

Authors:  Yi-Sheng Liou; Hung-Yi Chen; Lyun Tien; Yi-Sian Gu; Gwo-Ping Jong
Journal:  Medicine (Baltimore)       Date:  2015-09       Impact factor: 1.817

  10 in total

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