Literature DB >> 24970999

Use of metformin and vildagliptin for treatment of type 2 diabetes in the elderly.

Antoni Sicras-Mainar1, Ruth Navarro-Artieda2.   

Abstract

BACKGROUND: The aim of this study was to describe the clinical (treatment adherence, metabolic control, hypoglycemia, and macrovascular complications) and economic (resource use and costs) consequences of using a combination of metformin + vildagliptin to treat type 2 diabetes in elderly patients seen in daily clinical practice.
METHODS: We conducted a multicenter, retrospective, observational study that included patients aged ≥65 years treated with metformin who started a second oral antidiabetic therapy during the years 2008-2009. There were two groups of patients: a study group receiving metformin + vildagliptin and a reference group receiving metformin + other oral antidiabetics (sulfonylureas or glitazones). The main measures were comorbidity, compliance/persistence, metabolic control (glycosylated hemoglobin <7%), complications (hypoglycemic, macrovascular), and total costs. The patients were followed for 2 years.
RESULTS: We recruited 987 patients (49.1% male) of mean age 74.2 years. There were 270 (27.4%) patients in the metformin + vildagliptin group and 717 (72.6%) in the reference group. Vildagliptin-treated patients had significantly (P<0.05) improved compliance (68.3% versus 62.5%, respectively), persistence (61.5% versus 55.1%), and metabolic control (63.3% versus 57.6%). They also had lower rates of hypoglycemia (17.4% versus 42.8%) and cardiovascular events (4.4% versus 8.6%) and lower total costs (€2,544 versus €2,699, P<0.05).
CONCLUSION: Patients treated with metformin and vildagliptin showed better adherence and metabolic control and lower rates of hypoglycemia, resulting in lower health care costs for the national health system.

Entities:  

Keywords:  cardiovascular events; diabetes; health costs; hypoglycemia; metabolic control; vildagliptin

Mesh:

Substances:

Year:  2014        PMID: 24970999      PMCID: PMC4069049          DOI: 10.2147/DDDT.S65327

Source DB:  PubMed          Journal:  Drug Des Devel Ther        ISSN: 1177-8881            Impact factor:   4.162


Introduction

Cardiovascular disease is the leading cause of morbidity and mortality in developed countries.1 Type 2 diabetes mellitus (T2DM) is one of the diseases with the greatest public health impact, not only due to its high frequency but also because of its acute and chronic complications, the high rate of associated morbidity and mortality, and the impact on quality of life, all of which result in high use of health care resources, especially in elderly patients.2,3 In Spain, the prevalence of T2DM is 8% in females and 12% in males, with fluctuations of 6%–12% in different studies.4,5 The aim of drug treatment for T2DM is to achieve optimal metabolic control with maximum safety. Metformin is recommended as the first therapeutic choice together with dietary measures.6,7 When metabolic control is not achieved, addition of a second drug is recommended as combination therapy.8,9 The most frequent acute complication of diabetes is hypoglycemia, particularly in patients treated with insulin and/or sulfonylureas.6,9–11 Dipeptidyl peptidase-4 (DPP-4) inhibitors, such as vildagliptin, have an advantage over traditional secretagogues in that they significantly reduce hypoglycemia because their insulin secretion stimulating mechanism is glucose-dependent.7,12 The available evidence in clinical practice in Spain regarding the clinical and economic effects in older patients on oral antidiabetics is limited or nonexistent. The aim of this study was to compare the clinical (compliance/persistence with treatment, metabolic control, hypoglycemia, and macrovascular complications) and economic (resource use and health care costs) implications of a combination of metformin + vildagliptin versus a combination of metformin + other oral antidiabetics in T2DM patients aged ≥65 years.

Materials and methods

Design and study population

In this observational, longitudinal, multicenter study, we reviewed the computerized medical records of outpatients and inpatients treated with metformin. The study population consisted of patients attending six primary care centers managed by Badalona Serveis Assistencials SA. Information on health resources was obtained from two reference hospitals.

Inclusion and exclusion criteria

The study included all patients who started a second antidiabetic treatment between January 1, 2008, and December 31, 2009, and fulfilled the following conditions: age ≥65 years; diagnosis of T2DM for at least 2 years before the start of the study; following the cardiovascular risk protocol/guidelines of the participating centers; participating in the chronic prescription program for obtaining medical prescriptions (with a register of the daily dose and interval of time and duration of each treatment administered); metformin monotherapy as the first treatment option; and availability for progress to be monitored during the 2-year study period. Subjects transferring from other municipalities or regions and patients receiving insulin were excluded. There were two study groups, ie, a study group treated with metformin + vildagliptin and a reference group treated with metformin + other oral antidiabetics.

Measurement of diabetes and complications

Diagnosis of T2DM was made according to the International Classification of Primary Care13 and from the coding of hospital and emergency room discharges using the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM). Baseline data were obtained on microvascular complications, ie, diabetic retinopathy, diabetic nephropathy, diabetic neuropathy, and diabetic vasculopathy. We also identified all cases of symptomatic hypoglycemia. Macrovascular complications and cardiovascular events included: heart disease, including cardiac ischemia, acute myocardial infarction, and heart failure, as defined by the World Health Organization diagnostic criteria; cerebrovascular disease, including stroke (ischemic or hemorrhagic, according to the American Heart Association)7 and transient ischemic attack; all types of peripheral arterial disease; and renal disease (diabetic nephropathy or impaired renal function [serum creatinine >133 mmol in males or >124 mmol in females, or glomerular filtration rate <60 mL per minute]). Applications laboratory and test performance creatinine or glomerular filtration rate <60 mL per minute. Laboratory results are captured at all centers of the organization as part of integrated information systems. The cumulative incidence rate was defined as the proportion of healthy individuals who developed a complication (number of new cases).

Compliance and persistence with treatment and metabolic control

Information was collected on the following oral antidiabetics according to the Anatomical Therapeutic Chemical Classification System:14 metformin (A10BA*); insulin release stimulators, ie, sulfonylureas (A10BB*) and glinides (A10BX*); glitazones (A10BG*); and vildagliptin in monotherapy or in combination. We did not include patients receiving alpha-glucosidase inhibitors due to insufficient patient numbers. Compliance during the study period was calculated by dividing the total number of tablets dispensed by those recommended or prescribed. Treatment persistence was defined as the time, measured in months, without abandoning the initial treatment or with no change to another medication for at least 30 days after the initial prescription. Metabolic control was assessed by glycosylated hemoglobin (HbA1c) levels <7%.6

Sociodemographic and comorbidity variables

The general comorbidity summary variables used for each treated patient were: the Charlson comorbidity index,15 which is used as a proxy for health status, and the individual causality index, obtained from Adjusted Clinical Groups, which is a patient classification system based on isoresource use.16 The Adjusted Clinical Groups application provides resource utilization bands, with each patient placed in one of five mutually exclusive categories, according to general morbidity: 1 (healthy or very low morbidity); 2 (low morbidity); 3 (moderate morbidity); 4 (high morbidity); and 5 (very high morbidity).

Resource use and cost model

Direct health care costs were defined as costs related to medical care. The unit costs used in the study are in 2011 €. The tariffs were obtained from the cost accounting system used at each center, except for medications (retail price), as follows: medical visit in primary health care, €23.19; medical visit in the emergency room, €117.53; hospitalization for one day, €320.90; specialist medical visit, €104.41; laboratory tests, €22.30; conventional radiology, €18.50; diagnostic/therapeutic tests, €37.12; and drug prescriptions (retail price includes value-added tax).

Statistical analysis

A descriptive univariate analysis was performed, expressing values as the mean, standard deviation, and 95% confidence interval (CI). The normality of the distribution of quantitative variables was verified using the Kolmogorov—Smirnov test. In the bivariate analysis, we used analysis of variance, the chi-square test, Pearson’s chi-squared test, and the Mann-Whitney-Wilcoxon nonparametric test. A logistic regression analysis was performed to determine the variables associated with CVE (cardiovascular events [presence/absence]) using an enter procedure (Wald statistic). The comparison of costs was done according to the recommendations of Thompson and Barber17 using analysis of covariance, with sex, age, resource utilization band, Charlson comorbidity index, and time of evolution as covariates.

Results

Of the 10,477 subjects aged ≥65 years assigned to and attending the study centers regularly, 9,876 sought attention and 1,899 were diagnosed with T2DM (prevalence 19.2%; 95% CI 17.4–21.0). Of these, 700 patients were excluded for the following reasons: 151 received no drug treatment, 63 received other drug therapies, 40 discontinued treatment, treatment was modified in 299 during follow-up, 103 were lost to follow-up, and 44 were lost for unknown reasons and/or other causes. The percentage distribution of patients excluded was similar in the two study groups. Therefore, 987 patients receiving combination therapy were included in the study: 27.4% (n=270) in the study group were treated with vildagliptin and 72.6% (n=717) in the reference group were treated with sulfonylureas (82.5%) or glitazones (17.5%). Table 1 shows the baseline characteristics of patients included by treatment group. The overall mean age was 74.2±6.2 years and 49.1% were male. Mean age and general comorbidity was similar between the study group and the reference group (73.6 years versus 74.4 years and 5.7 diagnoses versus 5.8 diagnoses, respectively).
Table 1

Baseline characteristics of the study population

Study groups
Metformin + OA
Metformin + vildagliptin
Total
P-value
Patients, n (%)n=717n=270n=987
Sociodemographics
 Mean age, years74.4 (6.2)73.6 (6.1)74.2 (6.2)0.077
 Sex (male)50.5%45.6%49.1%0.167
General comorbidity
 Mean diagnoses5.8 (2.5)5.7 (2.3)5.8 (2.5)0.488
 Mean Charlson comorbidity index1 (0.4)1.1 (0.5)1.1 (0.4)0.296
 Mean RUB3 (0.6)3 (0.5)3 (0.6)0.574
 RUB-10.7%0.1%0.5%
 RUB-212.2%10.1%11.6%
 RUB-373.1%81.4%75.4%
 RUB-412.4%7.2%11.0%
 RUB-51.6%1.2%1.5%0.066
Comorbidities
 Hypertension76.3%73.7%75.6%0.399
 Dyslipidemia61.2%63.3%61.8%0.544
 Obesity23.2%23.3%23.2%0.952
 Active smoker14.2%15.2%14.5%0.703
 Alcoholism2.5%2.6%2.5%0.942
 Ischemic heart disease16.3%14.8%15.9%0.565
 Cerebrovascular accident19.8%18.9%19.6%0.746
 Cardiovascular event31.2%28.1%30.4%0.346
 Organ failure20.2%21.9%20.7%0.573
 Bronchial asthma5.6%3.3%5.0%0.148
 COPD7.7%10.0%8.3%0.237
 Neuropathies1.5%0.4%1.2%0.137
 Dementia (all types)5.2%4.8%5.1%0.825
 Depressive syndrome18.8%22.6%19.9%0.186
 Malignant neoplasm13.5%11.9%13.1%0.486
Relationship with diabetes
 Time since diagnosis, years17.4 (7.3)20 (5.2)18.1 (6.9)0.002
 Diabetic retinopathy28.2%32.0%29.0%0.346
 Diabetic neuropathy13.5%13.7%13.5%0.870
 Diabetic nephropathy12.1%12.2%12.1%0.899
 Change in glomerular filtration26.0%25.6%25.9%0.853

Note: Values expressed as the percentage or mean (standard deviation).

Abbreviations: RUB, resource utilization band; COPD, chronic obstructive pulmonary disease; OA, oral antidiabetics, including sulfonylureas and glitazones.

Vildagliptin-treated patients showed better compliance (68.3% versus 62.5%, P=0.002) and persistence (61.5% versus 55.1%, P=0.031) with therapy (Table 2). There was an acceptable correlation between degree of compliance and months of treatment persistence (r=0.541, P<0.001). Metabolic control (HbA1c <7%) of T2DM at the end of follow-up was better in vildagliptin-treated patients (63.3% versus 57.6% respectively, P=0.022). In the logistic model, vildagliptin-treated patients showed better therapeutic compliance (odds ratio 1.2, 95% CI 1.1–1.4, P=0.013), treatment persistence (odds ratio 1.1, 95% CI 1.0–1.2, P=0.032), and metabolic control (odds ratio 1.4, 95% CI 1.2–1.6, P=0.038).
Table 2

Compliance, persistence, and metabolic control according to the study groups

Study groups
Metformin + OA
Metformin + vildagliptin
Total
P-value
Patients, n (%)n=717n=270n=987
Months on metformin29 (14.2)25.9 (12.1)28.1 (13.7)0.002
Metformin use >1 year76.3%73.6%75.7%<0.001
Months of associated treatment
 Mean (SD)19.3 (7.1)21.2 (5.1)20.0 (6.8)<0.001
 Median (P25–P75)21.0 (10.0–23.0)22.0 (17.0–24.0)22.0 (13.0–23.0)<0.001
Therapeutic compliance62.5%68.3%64.1%0.002
 ≥80%, high49.1%55.1%51.4%
 50%–79%, medium30.7%29.1%30.3%
 <50%, low20.2%15.8%18.2%<0.001
Treatment persistence55.1%61.5%56.1%0.031
Metabolic control
 Initial period55.7%58.8%56.5%0.360
 Final period57.6%63.3%59.4%
 Difference in percentages1.9%4.5%2.9%0.022

Notes: Values expressed as a percentage or mean (standard deviation); treatment persistence was defined as the time without abandonment of initial treatment or with no change to other medication for at least 30 days after the initial prescription; metabolic control was defined as glycosylated hemoglobin <7%.

Abbreviations: OA, oral antidiabetics, includes sulfonylureas and glitazones; SD, standard deviation; P, percentile.

Vildagliptin-treated patients had fewer medical visits in primary care (24.1 versus 31.2, P<0.001) and hospital (1.9 versus 2.5, P=0.018) than patients in the reference group. The gross and adjusted (covariates) cost models for the two groups during a follow-up of 2 years is shown in Table 3. The total cost for care of diabetic patients was 2.6 million Euros, of which 88.9% was spent on primary care and 11.1% was spent on specialized care. The gross mean unit costs for vildagliptin-treated patients were lower than those of the reference group (€2,518 versus €2,685, respectively, P=0.041). The corrected costs (analysis of covariance) were €2,544 (95% CI 2,385–2,703) in the vildagliptin-treated group and €2,699 (95% CI €2,602–2,796) in the reference group (P=0.044). Health costs were moderately correlated with age (r=0.335) and overall comorbidity (resource utilization band; r=0.341, P<0.05).
Table 3

Model of gross and adjusted costs according to study group (mean unit cost in Euros) in the 2 year study period

Study groups
Metformin + OA
Metformin + vildagliptin
Total
P-value
Patients, n (%)n=717n=270n=987
Gross costs model
 Primary care costs2,374.6 (1,277.4)2,272 (1,098.7)2,346.5 (1,231.4)0.244
 Medical visits723.5 (365.7)557.9 (335.4)678.2 (365.1)<0.001
 Laboratory tests70.1 (40.3)51.2 (31.6)64.9 (39)<0.001
 Conventional radiology18.5 (22.5)20.6 (24)19.1 (22.9)0.189
 Complementary tests17.4 (28.4)17.3 (25.7)17.4 (27.7)0.950
 Drug costs (total)1,545.1 (1,087.4)1,625 (946.4)1,566.9 (1,050.8)0.287
  Metformin598.9 (342.2)430.2 (385.1)552.8 (457.5)0.031
  OA versus vildagliptin655.2 (539.2)992.5 (888.7)747.5 (659.4)0.012
  Other drugs291.1 (194.1)202.3 (155.3)266.7 (177.3)0.597
Specialized care costs310.3 (442.6)245.4 (287.8)292.6 (407)0.026
 Days of hospitalization17.9 (184.9)8.3 (64.4)15.3 (161.2)0.405
 Medical visits261 (379.6)201.9 (251.3)244.8 (350.1)0.018
 Emergency room visits31.5 (64)35.3 (71.2)32.5 (66.1)0.422
Health costs2,684.9 (1,456.5)2,517.5 (1,173.2)2,639.1 (1,386.2)0.041
Adjusted costs model*Difference
 Primary care costs2,383.72,294.5−89.20.290
 95% CI2,297.6–2,469.82,153.3–2,435.7
 Specialized care costs315.3249.5−65.90.028
 95% CI284.8–345.9199.3–299.6
Health costs2,699.12,544.0−155.10.044
 95% CI2,602.2–2,795.92,385.1–2,702.8

Notes: Values expressed as the mean (standard deviation).

Analysis of covariance model, the contrasts are based on comparisons of linearly independent pairs among the estimated marginal means.

Abbreviations: OA, oral antidiabetics, includes sulfonylureas and glitazones; CI, confidence interval.

Seventy-four patients experienced CVE (7.5%, 95% CI 6.3–8.7). Vildagliptin-treated patients had a lower rate of CVE than the reference group (4.4% versus 8.6%, P=0.025) and a lower proportion of new cases of ischemic heart disease (0.7% versus 2.1%, P=0.043), cerebrovascular accident (2.2% versus 4.3%, P=0.042), and renal failure (1.5% versus 2.2%, P=0.138). The overall percentage of patients with hypoglycemia was 35.9%. Vildagliptin-treated patients had a lower rate of hypoglycemia (17.4% versus 42.8%, P<0.001). In the logistic regression model, CVEs were associated with noncompliance with therapy (odds ratio 1.1, CI 1.0–1.3), metabolic control of T2DM (odds ratio 1.2, 95% CI 1.1–1.4), male sex (odds ratio 1.4, 95% CI 1.2–1.8), and age (odds ratio 1.1, 95% CI 1.0–1.2, P<0.05). Overall, 0.8% of patients required hospitalizations, 3.5% were treated in the emergency department, and 44.6% were treated in primary care. A subanalysis found no significant differences between patients treated with sulfonylureas and those treated with glitazones or between patients older and younger than 75 years. The proportions were maintained for all the variables analyzed.

Discussion

Our results show that elderly patients treated with a combination of metformin + vildagliptin had a lower rate of hypoglycemia and lower health costs than a reference group of patients receiving metformin and other oral antidiabetics. Scientific societies recommend addition of a DPP-4 inhibitor (gliptin) to metformin as an alternative to sulfonylureas, a glitazone, a glinide, or an α-glucosidase inhibitor for the treatment of patients with T2DM who do not achieve metabolic control.18 This proportionality in treatment was maintained in this study. There remain uncertainties in the treatment of elderly patients with T2DM which have not been addressed in clinical trials.18,19 There are few published studies of compliance and persistence with oral antidiabetics and comparisons are difficult because of the different methodologies used; however, they show a compliance rate of 40%–80%.6–7,19,20 A recent study by Marquez et al21 found that one quarter of diabetic patients did not comply with their treatment. A review by Cramer et al22 of 39 studies found that the rate of persistence at 12 months was 63% and compliance with oral antidiabetics was 58%, and this was similar for all therapeutic classes analyzed. Jermendy et al23 studied patients receiving combination therapy with metformin and sulfonylureas and found a persistence of 56% at one year. This could be due to a random event (individual variability) or to the presence of unidentified confounding variables. However, one plausible explanation could be a better tolerability and safety profile, in particular because of significantly lower rates of hypoglycemia.6,8 Although more studies comparing the use of combination therapy are needed to reinforce the consistency of these results, it seems clear that the role of DPP-4 inhibitors (eg, vildagliptin) in the therapeutic armamentarium for T2DM is evolving rapidly, although long-term data evaluating their effect on metabolic control are lacking.24,25 The available evidence indicates that a direct association between compliance and control is beyond doubt.6,21,23 Vildagliptin-treated patients had lower health care costs and used fewer health care resources. The few published studies available show that the higher the compliance and metabolic control in these patients, the lower the risk of hospitalization. A review by Breitscheidel et al26 concluded that improving compliance may result in a reduction of total health care costs in T2DM. In seven studies, compliance was inversely associated with total health care costs, and costs were lower because of fewer days of hospitalization. However, the variability in the studies reviewed was high, making comparison of the results difficult. Overall, our results are consistent with those studies,27 and again highlight the association between fewer episodes of hypoglycemia and less use of health care resources.28–30 Our results show lower rates of CVE and renal failure in vildagliptin-treated patients. Various studies in patients with type 1 or type 2 diabetes mellitus6–8,19,20 have shown that good metabolic control, represented by lower HbA1c values, leads to significant improvement in the incidence and evolution of microangiopathic complications, and that this benefit persists for years, even when metabolic control worsens. However, evolution of macrovascular complications does not seem so dependent on achieving an acceptable level of HbA1c as on the type of treatment used and the presence or absence of hypoglycemia. Given the close relationship between certain microangiopathies (principally nephropathy) and CVE, it is logical to consider that good metabolic control would have a positive influence, but with a lower intensity than the control of other risk factors, such as dyslipidemia and hypertension.6,8,28 In our study, these results are surprising, given that there is no scientific evidence of this available to date from clinical trials. The cardiovascular benefit of vildagliptin could be interpreted as a random bias due to the study design.31 The possible limitations of this research include categorization of the disease, the potential bias of patient classification, selection of therapeutic groups, and operating costs, which depend on the computerized data systems available. Therefore, our study has the limitations inherent in observational retrospective studies, including under-reporting or possible variability of patients and professionals. This type of design is not without bias (including factors not taken into account, such as the socioeconomic, cultural, or educational level, as well as pharmacological doses ingested or their therapeutic appropriateness) that should be minimized. The main limitation of the study is the selection bias arising from the physician being responsible for administering one or the other drug, for whatever reason, and the results should be interpreted with caution. Another limitation relates to the extent of hypoglycemia, given that we only identified episodes in which the patient required medical treatment and this was documented, so there may have been undiagnosed cases. Patients treated with vildagliptin had a lower rate of renal events during follow-up. The absence of data for single-treatment metformin or vildagliptin and is needed for comparison (monotherapy) and should also be interpreted as a limitation of the study. Further, glucagon-like peptide-1 levels and their correlation with glucose or insulin levels in our subjects are unclear. Another limitation of the study was not considered a confounding variable dosage of drugs. Future research will be needed to include studies of cost effectiveness and collection of data from other health care organizations. Overall, our results are consistent with the recommendations of the Institute for Quality and Efficiency in Health Care.32 The measure of effectiveness (ie, economic evaluation) should be based on a set of health interventions, not just on the price of a drug. In conclusion, patients receiving vildagliptin in combination with metformin showed better compliance and metabolic control and lower rates of hypoglycemia than patients treated with metformin and other oral antidiabetics, resulting in lower health care costs for the national health system.
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Authors:  Shuqian Liu; Yingnan Zhao; James M Hempe; Vivian Fonseca; Lizheng Shi
Journal:  Expert Rev Pharmacoecon Outcomes Res       Date:  2012-02       Impact factor: 2.217

2.  Intensive blood glucose control and vascular outcomes in patients with type 2 diabetes.

Authors:  Anushka Patel; Stephen MacMahon; John Chalmers; Bruce Neal; Laurent Billot; Mark Woodward; Michel Marre; Mark Cooper; Paul Glasziou; Diederick Grobbee; Pavel Hamet; Stephen Harrap; Simon Heller; Lisheng Liu; Giuseppe Mancia; Carl Erik Mogensen; Changyu Pan; Neil Poulter; Anthony Rodgers; Bryan Williams; Severine Bompoint; Bastiaan E de Galan; Rohina Joshi; Florence Travert
Journal:  N Engl J Med       Date:  2008-06-06       Impact factor: 91.245

3.  [Recommendations for the pharmacological treatment of hyperglycemia in type 2 diabetes].

Authors:  E Menéndez Torre; J Lafita Tejedor; S Artola Menéndez; J Millán Núñez-Cortés; A Alonso García; M Puig Domingo; J R García Solans; F Alvarez Guisasola; J García Alegría; J Mediavilla Bravo; C Miranda Fernández-Santos; R Romero González
Journal:  Rev Clin Esp       Date:  2011-03-03       Impact factor: 1.556

Review 4.  Vildagliptin in the treatment of type 2 diabetes mellitus.

Authors:  George Stamataros; Stephen H Schneider
Journal:  Expert Opin Pharmacother       Date:  2011-06-17       Impact factor: 3.889

Review 5.  Role of vildagliptin in managing type 2 diabetes mellitus in the elderly.

Authors:  S Halimi; D Raccah; A Schweizer; S Dejager
Journal:  Curr Med Res Opin       Date:  2010-07       Impact factor: 2.580

6.  [Diabetes mellitus and cardiovascular risk. Recommendations of the Working Group of Diabetes Mellitus and Cardiovascular Disease of the Spanish Diabetes Society 2009].

Authors: 
Journal:  Endocrinol Nutr       Date:  2010-05-04

Review 7.  Economic impact of compliance to treatment with antidiabetes medication in type 2 diabetes mellitus: a review paper.

Authors:  L Breitscheidel; S Stamenitis; F-W Dippel; O Schöffski
Journal:  J Med Econ       Date:  2010-03       Impact factor: 2.448

8.  Effect of a multifactorial intervention on mortality in type 2 diabetes.

Authors:  Peter Gaede; Henrik Lund-Andersen; Hans-Henrik Parving; Oluf Pedersen
Journal:  N Engl J Med       Date:  2008-02-07       Impact factor: 91.245

9.  Persistence of initial oral antidiabetic treatment in patients with type 2 diabetes mellitus.

Authors:  György Jermendy; István Wittmann; László Nagy; Zoltán Kiss; György Rokszin; Zsolt Abonyi-Tóth; Lajos Katona; György Paragh; István Karádi; Béla Merkely
Journal:  Med Sci Monit       Date:  2012-02

10.  Prevalence of diabetes mellitus and impaired glucose regulation in Spain: the Di@bet.es Study.

Authors:  F Soriguer; A Goday; A Bosch-Comas; E Bordiú; A Calle-Pascual; R Carmena; R Casamitjana; L Castaño; C Castell; M Catalá; E Delgado; J Franch; S Gaztambide; J Girbés; R Gomis; G Gutiérrez; A López-Alba; M T Martínez-Larrad; E Menéndez; I Mora-Peces; E Ortega; G Pascual-Manich; G Rojo-Martínez; M Serrano-Rios; S Valdés; J A Vázquez; J Vendrell
Journal:  Diabetologia       Date:  2011-10-11       Impact factor: 10.122

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Authors:  Antoni Sicras-Mainar; Javier Rejas-Gutiérrez; Ruth Navarro-Artieda
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Review 2.  Achieving glycemic control in elderly patients with type 2 diabetes: a critical comparison of current options.

Authors:  Ye-Fong Du; Horng-Yih Ou; Elizabeth A Beverly; Ching-Ju Chiu
Journal:  Clin Interv Aging       Date:  2014-11-18       Impact factor: 4.458

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Authors:  Gisela Schott; Yolanda V Martinez; R Erandie Ediriweera de Silva; Anna Renom-Guiteras; Anna Vögele; David Reeves; Ilkka Kunnamo; Minna Marttila-Vaara; Andreas Sönnichsen
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Authors:  Mahdi Hamidi Shishavan; Robert H Henning; Azuwerus van Buiten; Maaike Goris; Leo E Deelman; Hendrik Buikema
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