Study type

Study type

Non-interventional study

Scope of the study

Effectiveness study (incl. comparative)
Non-interventional study

Non-interventional study design

Systematic review and meta-analysis
Study drug and medical condition

Anatomical Therapeutic Chemical (ATC) code

(A10BH) Dipeptidyl peptidase 4 (DPP-4) inhibitors
Dipeptidyl peptidase 4 (DPP-4) inhibitors

Medical condition to be studied

Type 2 diabetes mellitus
Population studied

Age groups

Adults (18 to < 46 years)
Adults (46 to < 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)

Special population of interest

Renal impaired
Hepatic impaired
Immunocompromised
Pregnant women

Estimated number of subjects

0
Study design details

Main study objective

To compare the results obtained for efficacy and effectiveness endpoints on clinical trials and those obtained from routine clinical practice of DPP4 inhibitors.

Outcomes

Efficacy endpoints: mean change from baseline 1) in haemoglobin A1C (HbA1c), 2) in fasting plasma glucose, 3) glucose, 4) in body weight, and number of patients achieving HbA1c<7%. Effectiveness endpoints: all-cause mortality, cardiovascular-related mortality, acute myocardial infarction, stroke, hospitalisations, emergency department visits, amputations, nephropathy and retinopathy.

Data analysis plan

The methodological quality of the RCT and observational studies will be assessed using Downs and Black checklist, while the AMSTAR 2 instrument will be used for the meta-analysis.To compare efficacy results of the DPP4 inhibitors when used in clinical trials context with their effectiveness in routine clinical practice,meta-analyses will be carried out for premarketing and postmarketing data.For continuous outcomes, the weighted mean differences between the intervention group and the comparator group, with their 95%CI,will be estimated using a random effects model.If a study does not report the SD, this will be calculated from the sample size and the SE or the 95%CI.The risk ratios and the 95%CI will be estimated for dichotomous outcomes, also using a random effects model.Between studies, heterogeneity will be assessed using the I2 statistic.The publication bias will be examined through visual inspection of a funnel plot and statistically evaluated by Egger's regression asymmetry test.