Literature DB >> 29941715

Comparison of Placebo Effect between Asian and Caucasian Type 2 Diabetic Patients: A Meta-Analysis.

Wei Guo1, Lin Nie2, Xi-Rui Wang2, Mei-Ling Xu2, Wen-Jia Yang3, Xue-Ying Gao3, Xiao-Ling Cai3, Li-Nong Ji3.   

Abstract

BACKGROUND: Placebo was defined as any therapy that is used for its nonspecific psychological and physiologic effect but has no specific pharmacologic impact on the condition being treated. Besides medication therapies, studies have found that the optimal dietary approach as well as physical activity and education are useful to control hyperglycemia in patients with type 2 diabetes (T2DM). The aim of this study was to evaluate the placebo effects of antidiabetic therapies in Asian and Caucasian T2DM patients and make a comparison between the two ethnicities.
METHODS: A search using the MEDLINE database, EMBASE, and Cochrane Database was performed, from when recording began until December 2016. The main concepts searched in English were sulfonylurea (SU); alpha glucosidase inhibitors (AGI); metformin (MET); thiazolidinediones (TZD); dipeptidyl peptidase-4 inhibitors (DPP-4i); sodium-glucose cotransporter 2 inhibitors (SGLT2i); glucagon-like peptide-1 receptor agonist (GLP-1RA); type 2 diabetes (T2DM); placebo controlled; and randomized controlled trials. Using the Cochrane instrument, we evaluated the adequacy of randomization, allocation concealment procedures, and blinding.
RESULTS: This study included 63 studies with a total of 7096 Asian patients involved and 262 studies with a total of 27,477 Caucasian patients involved. In Caucasian population, the use of placebo led to significant reductions of glycosylated hemoglobin (HbA1c), -0.683% (P = 0.008) in SU monotherapy treatment, -0.193% (P = 0.001) in DPP-4i treatment, and -0.230% (P < 0.001) in SGLT2i treatment, respectively. In Asian population, the use of placebo resulted in significant decreases of HbA1c, -0.162% (P = 0.012) in DPP-4i treatment and -0.269% (P = 0.028) in GLP-1RA add-on therapy, respectively. The placebo also significantly reduced body weight. In Caucasian population, placebo use resulted in 0.833 kg (P = 0.006) weight loss by SU treatment and 0.953 kg (P = 0.006) weight loss by GLP-1RA treatment. In Asian population, the placebo led to a weight change of 0.612 kg (P < 0.001) by GLP-1RA analog treatment. The changes of HbA1c and weight due to the placebo effect in other treatments were not significant in both Asian and Caucasian population. Comparisons of the placebo effect on HbA1c change and weight change in each treatment group indicated that no significant difference was found between Asian and Caucasian population.
CONCLUSIONS: The overall differences of the placebo effect on HbA1c changes as well as on body weight changes were not significant between Asian and Caucasian T2DM patients. The placebo effect on HbA1c changes and weight changes was not associated with baseline age, gender, baseline body mass index, baseline HbA1c, duration of diabetes, or study duration.

Entities:  

Keywords:  Asian; Caucasian; Placebo; Type 2 Diabetes Mellitus

Mesh:

Substances:

Year:  2018        PMID: 29941715      PMCID: PMC6032690          DOI: 10.4103/0366-6999.235107

Source DB:  PubMed          Journal:  Chin Med J (Engl)        ISSN: 0366-6999            Impact factor:   2.628


INTRODUCTION

Placebo was defined as any therapy that is used for its nonspecific psychological and physiologic effect but has no specific pharmacologic impact on the condition being treated.[1] Besides medication therapies, studies have found that the optimal dietary approach as well as physical activity and education are useful to control hyperglycemia in patients with type 2 diabetes (T2DM).[2] Several reviews reported that increasing physical activity and exercise improved glucose control in people with T2DM, yielding an average reduction of glycosylated hemoglobin (HbA1c) of between 0.4% and 0.6%.[345] Hence, the knowledge of placebo effects is important to evaluate the efficacy of a new drug to determine its real effective in glucose control or body weight control. It is also useful for blind trials to evaluate the effect difference between treatment groups and placebo groups. Moreover, in randomized controlled trails (RCTs) or observational studies, it is useful for testing the placebo-corrected efficacy in glucose control even if the control group was an active antidiabetic drug.[167] With the increasing prevalence of T2DM in Asian population and the unmet need for improving glucose control,[8910] the placebo-controlled RCTs of novel agents have been carried out in both Asian and Caucasian patients with T2DM. It was suggested that the placebo response in clinical trials represents more than just regression to the mean and passage of time;[11] well-learned and definitely understood placebo effect are likely to be related to better design and execution of diabetes trials in Asian and Caucasian populations.[1213] Due to the lower body mass index (BMI) and other different demographics of Asian patients compared with that of Caucasian patients[914] and the complicate genetic and pharmacogenetic ethnic background[1516] or variable response to antidiabetic treatment,[171819] the placebo effect of glucose control and body weight control between the two ethnicities might be different. The exact placebo effect in T2DM treatment has not been evaluated comprehensively so far, especially in Asian and Caucasian patients. If the trial was done mainly in Caucasian population (>50%), it would be classified as Caucasian group, if the trial was done mainly in Asian population (>50%), it would be classified as Asian group.[171819] Therefore, the aim of this study was to evaluate the placebo effects of antidiabetic therapies in Asian and Caucasian T2DM patients and make comparison between the two ethnicities.

METHODS

Search strategy

A search using the MEDLINE database, EMBASE, and Cochrane Database was performed, from when recording began to December 2016. The strategy was performed using the following terms in English: sulfonylurea (SU); alpha glucosidase inhibitors (AGIs); metformin (MET); thiazolidinediones (TZD); dipeptidyl peptidase-4 inhibitors (DPP-4i); sodium-glucose cotransporter 2 inhibitors (SGLT2i); glucagon-like peptide-1 receptor analogues (GLP-1RA); type 2 diabetes (T2DM); placebo controlled; and randomized controlled trials. The search was conducted from June 2014 to October 2016. This meta-analysis was registered as CRD42014009373.

Study selection

To evaluate the placebo effects of antidiabetic therapies in T2DM patients, the inclusion criteria were therefore listed as follows: (1) placebo-controlled, randomized trials; (2) included T2DM participants; (3) the study duration ≥12 weeks; (4) the levels of HbA1c changed from baseline were measured in the placebo group; and (5) the ethnicity was reported in the trial. According to the inclusion criteria, two authors (Nie L, Xu ML) independently screened the studies one by one. If there is any disagreement, a third author (Wang XR) will be consulted. Using the Cochrane instrument, we evaluated the adequacy of randomization, allocation concealment procedures, and blinding.[20]

Data extraction

The following data were independently extracted using a standardized form. Study titles and authors, study design, the number of individuals in placebo group, patients' age, gender, BMI, diabetes duration, baseline HbA1c, duration of follow-up, and the changes of HbA1c and body weight in placebo group were all documented. If there is any disagreement, it would be resolved by discussion with another author (Yang WJ).

Definition of Asian and Caucasian

All the data would be divided according to the ethnicity of the population included. If the trial involved more than 50% Caucasian population of all patients, it would be classified as in Caucasian group; if the trial was done mainly in Asian population (>50%), it would be classified as in Asian group.[171819]

Statistical analysis

To compare the baseline variables between Asian and Caucasian population, data were expressed as mean ± standard deviation and were compared using t-test. A two-sided P < 0.05 was considered statistically significant. The primary end point of this meta-analysis was absolute HbA1c change relative to baseline in placebo treatment group in Asian and Caucasian T2DM patients. The mean difference (MD) in the placebo group was calculated as the change from baseline and 95% confidence interval (CI) was also shown. The measures of effect for all continuous variables were the differences from baseline to end point. When the standard deviations (SDs) for these differences were missing, we calculated the SD of the difference with the following formula:[21] SDpaired difference2 = SDpretreatment value2 + SDposttreatment value2 − 2 × r × SDpretreatment value × SDposttreatment value. We used a conservative correlation coefficient (r) of 0.4. SDpaired difference= √SDpaired difference2 Treatment effects were estimated by random-effect or fixed-effect pairwise meta-analysis. Higgins I2 statistics were used to quantify the percentage of the total variance in the summary estimate due to between-study heterogeneity. Publication bias was assessed via a funnel plot vision. Meta-regression analysis was also made for the association analysis between placebo effect in HbA1c changes and baseline characteristics. Statistical testing was two-sided, with P < 0.05 considered statistically significant. All statistical analyses were performed with the STATA statistical software package (Version 11.0, StataCorp, College Station, TX, USA). We conducted this study according to the PRISMA guidelines.[22]

RESULTS

Outlines of the studies included

Figure 1 indicates the study selection process. This study included 63 studies with a total of 7096 Asian patients involved and 262 studies with a total of 27,477 Caucasian patients recruited. In SU treatment group, there were 22 studies conducted in Caucasian population, but no study was found to recruit Asians. In MET treatment group, there was one study conducted in Asians and 16 studies conducted in Caucasians. There were eight studies in Asians and 35 studies in Caucasians with AGI treatment and 12 studies in Asians and 72 studies in Caucasians with TZD treatment. In DPP-4i treatment, there were 23 studies in Asians and 46 studies in Caucasians. In SGLT2i treatment, there were 11 studies in Asians and 38 studies in Caucasians. Moreover, there were eight studies in Asian population and 33 studies in Caucasian population with GLP-1RA treatment compared with placebo [Supplementary Tables S1 and S2].
Figure 1

The flowchart of included studies. AGI: Alpha glucosidase inhibitor; SU: Sulfonylurea; MET: Metformin; TZD: Thiazolidinedione; DPP4i: Dipeptidyl peptidase-4 inhibitors; SGLT2i: Sodium-glucose cotransporter 2 inhibitors; GLP-1RA: Glucagon-like peptide-1 receptor agonist.

Supplementary Table S1

Studies in Asian population

Author, yearStudy durationTreatment groupNumber of patientsAge (years)Men (%)BMI (kg/m2)DM duration (years)Baseline HbA1c (%)
MET versus placebo, monotherapy

Fujioka, 200524 weeksPlacebo7958 ± 116328.9 ± 3.53.2 ± 2.67.9 ± 0.9
Fujioka, 200516 weeksPlacebo11754 ± 104930.7 ± 4.12.7 ± 2.78.3 ± 1.1

AGI versus placebo, monotherapy

Chan, 199824 weeksPlacebo6354 (10)50.8/2.1 ± 3.4/
Hotta, 199324 weeksPlacebo2047.922.2/4.410.3

AGI versus placebo, add-on therapy

Hsieh, 201124 weeksPlacebo + SU5359 ± 10.751.4//8.11 ± 0.77
Hwu Chii-Min, 200318 weeksPlacebo + ins5354.7 ± 8.6//10.9 ± 6.1
Lin BJ, 200324 weeksPlacebo + SU3255.4 ± 8.537.5/58.99 ± 0.95
Lam KSL, 199824 weeksPlacebo4456.9 ± 1.343.224.1 ± 0.410.1 ± 0.89.4 ± 0.1
Nemoto, 201112 weeksPlacebo + ins100/////

TZD versus placebo, monotherapy

Iwamoto, 199612 weeksPlacebo12657.4 ± 9.353.224.7 ± 3.47.5 ± 5.48.51 ± 1.46
Kong, 201112 weeksPlacebo3254.0 ± 8.559.425.53 ± 4.035.85 ± 3.897.35 ± 0.62
Nakamura, 20016 monthsPlacebo14/////

TZD versus placebo, add-on therapy

Hwang, 200812 monthsPlacebo+ SU4653.4 ± 9.745.726.6 ± 2.5//
Iwamoto, 199612 weeksPlacebo + SU12658.7 ± 8.042.923.3 ± 3.1/8.98 ± 1.45
Kaku, 200928 weeksPlacebo + MET8653 ± 7.55725.4 ± 3.65.6 ± 5.07.55 ± 0.9
Kawamori, 199812 weeksPlacebo960.6 ± 10.055.622.0 ± 3.011.9 ± 8.18.7 ± 1.3
Mimura, 19943 monthsPlacebo658 ± 2.15021.3 ± 1.4/9.7 ± 0.3
Pan, 200212 weeksPlacebo + SU + MET142////8.5 ± 1.12
Sridhar, 201324 weeksPlacebo + glimepiride + MET2544.0 ± 7.210025.1 ± 3.22.9 ± 2.16.8 ± 0.4
Yang, 20026 monthsPlacebo + SU3457.8 ± 8.938.225.84 ± 3.50/9.7 ± 1.4
Zhu, 200324 weeksPlacebo + SU10558.8 ± 7.74625.1 ± 2.87.69.8 ± 1.3

DPP-4 inhibitor versus placebo, monotherapy

Iwamoto, 201012 weeksPlacebo7360.2 ± 8.068.524.1 ± 3.26.4 ± 5.57.74 ± 0.93
JI 201624 weeksPlacebo12751.7 ± 10.261.726.0 ± 3.51.1 ± 0.28.7 ± 1.1
Kawamori, 201212 weeksPlacebo8059.7 ± 8.971.324.3 ± 3.4/7.95 ± 0.67
Kikuchi, 200912 weeksPlacebo7260.4 ± 8.163.924.6 ± 3.17.1 ± 5.57.4 ± 0.8
Mohan, 200918 weeksPlacebo17850.9 ± 9.36024.9 ± 3.41.9 ± 1.68.8 ± 1.1
Nonaka, 200812 weeksPlacebo7655.0 ± 8.06625.1 ± 3.24.1 ± 4.67.7 ± 0.9
Pan, 201224 weeksPlacebo28451.6 ± 10.354.625.9 ± 3.71.2 ± 2.68.2 ± 0.8
Pan 201516 weeksPlacebo8853.2 ± 9.057.125.8 ± 3.02.0 ± 2.57.86 ± 0.79
Seino, 201112 weeksPlacebo7559.1 ± 10.4774.724.39 ± 3.696.83 ± 6.077.85 ± 0.89
Wu 201524 weeksPlacebo2351.2 ± 7.55024.11 ± 2.288.00 ± 0.69

DPP-4 inhibitor versus placebo, add-on therapy

Ji 201624 weeksPlacebo + MET48456.2 ± 10.849.625.1 ± 3.24.1 ± 4.37.2 ± 0.04
Kadowaki, 201412 weeksPlacebo + glimepiride9860.3 ± 7.867.324.6 ± 3.68.3 ± 6.28.4 ± 0.8
Kaku, 201112 weeksPlacebo + PIO11560.1 ± 9.776/3926.4 ± 4.46.7 ± 5.37.92 ± 0.85
Kikuchi, 201012 weeksPlacebo + glimepiride10060.3 ± 10.16924.4 ± 2.69.8 ± 6.48 ± 0.8
Lewin, 201218 weeksPlacebo + SU8456.2 ± 10.261.928.2 ± 5.1/8.6 ± 0.7
Ning 201624 weeksPlacebo + ins11858.5 ± 9.3346.625.7 ± 2.6811.4 ± 6.538.6 ± 0.93
Owens, 201124 weeksPlacebo + MET + SU26357.6 ± 9.748.328.2 ± 4.5/8.14 ± 0.05
Pan, 201224 weeksPlacebo + MET14454.5 ± 9.6845.825.46 ± 3.095.15 ± 4.588.01 ± 0.82
Pan 201516 weeksPlacebo + MET9353.4 ± 9.448.925.5 ± 3.95.5 ± 3.97.98 ± 0.75
Pan 201516 weeksPlacebo + PIO6351.8 ± 10.462.926.1 ± 3.04.9 ± 4.77.96 ± 0.82
Seino, 201112 weeksPlacebo + voglibose7562.3 ± 10.548/2724.42 ± 4.207.52 ± 6.038.12 ± 1.19

DPP-4 inhibitor versus placebo, add-on therapy

Seino, 201224 weeksPlacebo + MET10052.1 ± 8.057226.14 ± 4.586.04 ± 4.368.00 ± 0.86
Wang 201524 weeksPlacebo + MET8056.5 ± 8.75025.8 ± 4.08.00 ± 0.80
Yang 201524 weeksPlacebo + glimepiride13658.7 ± 9.358.125.0 ± 2.86.9 ± 4.110.6 ± 2.3
Yang, 201124 weeksPlacebo + MET28754.4 ± 10.148.726.1 ± 3.55.1 ± 4.07.9 ± 0.8
Yang, 201224 weeksPlacebo + MET19855.1 ± 9.85525.3 ± 3.67.3 ± 4.68.5 ± 0.9
Zeng 201324 weeksPlacebo + MET + SU4857.0 ± 8.952.125.6 ± 3.48.10 ± 0.84

SGLT2i versus placebo, monotherapy

Ikeda, 201512 weeksPlacebo6653.9 ± 11.1254.530.37 ± 5.4667.88 ± 0.694
Inagaki, 201312 weeksPlacebo7557.7 ± 11.072.026.41 ± 4.347.99 ± 0.77
Inagaki, 201424 weeksPlacebo9358.2 ± 11.064.525.85 ± 4.398.04 ± 0.70
Ji, 201424 weeksPlacebo13249.9 ± 10.8765.925.93 ± 3.648.35 ± 0.95
Kaku, 201312 weeksPlacebo5458.4 ± 10.079.6/8.12 ± 0.71
Kaku, 201424 weeksPlacebo5656.8 ± 9.966.126.00 ± 4.118.41 ± 0.78
Kashiwagi, 201524 weeksPlacebo4665.7 ± 6.9378.324.96 ± 3.3627.55 ± 0.526
Kashiwagi, 201524 weeksPlacebo5657.7 ± 9.2458.925.47 ± 3.0928.38 ± 0.738
Roden, 201324 weeksPlacebo22854.9 ± 10.95428.7 ± 6.27.91 ± 0.78

SGLT2i versus placebo, add-on therapy

Ji, 201518 weeksPlacebo22655.8 ± 9.455.625.5 ± 3.67.9 ± 0.9
Roden, 201576 weeksPlacebo22854.9 ± 10.953.928.7 ± 6.27.91 ± 0.78

GLP-1RA versus placebo, monotherapy

Miyagawa, 201526 weeksPlacebo7057.7 ± 8.37925.2 ± 3.28.20 ± 0.83
Seino, 200814 weeksPlacebo4657.5 ± 8.76323.77 ± 2.638.43 ± 1.02

GLP-1RA versus placebo, add-on therapy

Gao, 200912 weeksPlacebo + MET/SU23254 ± 94126.1 ± 3.48.3 ± 1.0
Kadowaki, 200912 weeksPlacebo + SU4060.5 ± 10.27525.8 ± 4.68.1 ± 0.7
Kaku, 201024 weeksPlacebo + SU8858.6 ± 9.76524.9 ± 4.08.45 ± 0.99
Kim, 200715 weeksPlacebo1555 ± 93636 ± 68.6 ± 1.4
Pan CY, 201424 weeksPlacebo + MET ± SU19455.1 ± 10.546.927.1 ± 3.87.85 ± 0.71
Seino Y, 201224 weeksPlacebo + basal ins ± SU15758.0 ± 10.15125.2 ± 3.98.52 ± 0.78

Data are given as the mean ± SD. BMI: Body mass index; DM: Diabetes mellitus; HbA1c: Glycosylated hemoglobin; MET: Metformin; AGI: Alpha glucosidase inhibitors; TZD: Thiazolidinediones; DPP-4: Dipeptidyl peptidase-4 inhibitors; SGLT2i: Sodium-glucose cotransporter 2 inhibitors; GLP-1RA: Glucagon-like peptide-1 analogs; SD: Standard deviation; PIO: Pioglitazone; /: No reported data; ins: Insulin.

Supplementary Table S2

Studies in Caucasian population

Author, yearStudy durationTreatment groupNumber of patientsAge (years)Men (%)BMI (kg/m2)DM duration (years)Baseline HbA1c (%)
SU versus placebo, monotherapy

Coniff, 199536 weeksPlacebo6256.35229.95.57.1
Ebeling, 20016 monthsPlacebo10//31.9 ± 1.5/8.6 ± 0.2
Fischer, 200316 weeksPlacebo2558.6 ± 6.368/6.4 ± 0.98.3 ± 0.2
Goldberg, 199614 weeksPlacebo7460.464.9/67.8
Hanefeld, 200216 weeksPlacebo859 ± 1.67527.2 ± 1.16.8 ± 1.68.7 ± 0.6
Hoffmann, 199424 weeksPlacebo3056.9 ± 6.74026.8 ± 1.51.0 ± 0.98.29 ± 0.37
Madsbad, 200412 weeksPlacebo2957 ± 9.46930.3 ± 4.23.8 ± 3.47.8 ± 0.9
Rosenstock, 199614 weeksPlacebo7961.1 ± 9.767/68.0 ± 1.1
Scott, 200712 weeksPlacebo12555.3 ± 9.762.431.6 ± 5.84.7 ± 4.27.9 ± 1.0
Segal, 199724 weeksPlacebo425957.129.1/8.25
Simonson, 199716 weeksPlacebo6960.276.829.77.58.3 ± 0.2

SU versus placebo, add-on therapy

Burant, 201212 weeksPlacebo6152.9 ± 11.34331.2 ± 5.05.6 ± 4.88.46 ± 1.07
Camerini-Davalos, 19943 yearsPlacebo + ins2946.4 ± 2.0/24.3 ± 0.414.110.3 ± 0.3
Feinglos, 200516 weeksPlacebo + MET6158.8 ± 10.04132.1 ± 4.94.67.64
Forst, 201012 weeksPlacebo + MET7160.1 ± 8.16232.2 ± 4.26.2 ± 5.18.4 ± 0.7
Karlander, 1991325 daysPlacebo + ins/////10.3
LeWitt, 19896 monthsPlacebo + ins//////
Lins, 198812 weeksPlacebo + ins1060 ± 360//10.7 ± 0.5
Nauck, 200926 weeksPlacebo + MET12156 ± 96031.6 ± 4.48 ± 68.4 ± 1.1
Riddle, 199216 weeksPlacebo + ins10/////
Riddle, 19894 monthsPlacebo + ins10/////
Riddle, 199824 weeksPlacebo + ins7358 ± 854.833.7 ± 5.47 ± 49.9
Roberts, 200526 weeksPlacebo + MET + SU7756.4 ± 10.062.332.76 ± 5.117.9 ± 4.98.15 ± 0.65
Schade, 19874 monthsPlacebo + ins8/////
Stenman, 19884 monthsPlacebo + ins8/////
Stuart, 199712 weeksPlacebo + ins9////7.4 ± 0.3
Clark JCM, 1997/Placebo//////

MET versus placebo, monotherapy

Chiasson, 200136 weeksPlacebo8357.7 ± 9.967.531.1 ± 4.45.1 ± 4.98.1 ± 0.7
DeFronzo, 199529 weeksPlacebo14653 ± 142.529.2 ± 0.36.0 ± 0.68.2 ± 0.2
Dornan, 19918 monthsPlacebo3055 ± 1/30 ± 1/11.8 ± 0.4
Fonseca, 201312 weeksPBO6953.4 ± 9.746.430.9 ± 5.54.64 ± 5.937.84 ± 0.78
Garber, 199714 weeksPlacebo7955 ± 1156//9.9 ± 1.9
Grant, 19966 monthsPlacebo23/////
Goldstein, 200724 weeksPlacebo165////8.68 ± 1.00
Hällsten, 200226 weeksPlacebo1457.7 ± 1.971.430.3 ± 1.2/6.3 ± 0.1
Haak, 201224 weeksPlacebo7255.7 ± 11.05028.6 ± 5.2/8.7 ± 1.0
Horton, 200024 weeksPlacebo17259.6 ± 10.960.529.2 ± 3.94.6 ± 4.78.3 ± 1.1
Johnson, 199312 weeksPlacebo4/////
List, 200912 weeksPBO5453 ± 115632 ± 5/7.9 ± 0.9
Nagi, 199312 weeksPlacebo//////
Natali, 200416 weeksPBO2258 ± 981.830.2 ± 3.13.4 ± 3.47.6 ± 0.8
Tessari, 19944 weeksPlacebo660 ± 333.328 ± 1/6.7 ± 0.3
Viljanen, 200526 weeksPlacebo1158.7 ± 8.381.829.8 ± 4.1/6.2 ± 0.7

MET versus placebo, add-on therapy

Avileés-Santa, 199924 weeksPlacebo + ins2254.6 ± 7.845.5/10.1 ± 4.79.1 ± 1.5
Douek, 200512 monthsPlacebo + ins9158 ± 7.762.631.5 ± 4.310 ± 5.210.0 ± 1.5
Gram, 20112 yearsPlacebo + ins4655.8 ± 7.771.734.0 ± 6.07.3 ± 4.38.7 ± 1.3
Placebo + ASP4857.1 ± 8.547.933.7 ± 5.09.1 ± 5.58.5 ± 1.2
Hermann, 200112 monthsPlacebo + ins1958.1 ± 9.763.232.6 ± 3.8138.7 ± 1.0
Kooy, 20094.3 yearsPlacebo + ins19459 ± 115030 ± 512 ± 87.9 ± 1.2
Willms, 199912 weeksPlacebo + SU2959.2 ± 9.458.6/10.0 ± 6.410.6 ± 1.6

AGI versus placebo, monotherapy

Calle-Pascuac, 199616 weeksPlacebo20//35.9 ± 7.6/6.4 ± 1.3
Chiasson, 19941 yearPlacebo39//28.8 ± 0.5//
Chiasson, 200136 weeksPlacebo8357.7 ± 9.967.531.1 ± 4.55.1 ± 4.98.1 ± 0.7
Coniff, 199436 weeksPlacebo9855.6 ± 1.04531.536.65
Coniff, 199516 weeksPlacebo6454583258.67
Coniff, 199536 weeksPlacebo6256.35229.95.57.1
Delgado, 20024 monthsPlacebo8//34.4 ± 2.8/7.5 ± 0.6
Derosa, 20117 monthsPlacebo92/48.926.8 ± 0.9/6.7 ± 0.5

AGI versus placebo, monotherapy

Fischer, 200316 weeksPlacebo2558.6 ± 6.3/27.0 ± 0.76.4 ± 0.98.3 ± 0.2
Gentile, 200128 weeksPlacebo48////8.7 ± 0.9
Hanefeld, 200216 weeksPlacebo859 ± 1.67527.2 ± 1.16.8 ± 1.68.7 ± 0.6
Hanefeld, 200920 weeksPlacebo4559.92 ± 10.0/30.78 ± 3.70/6.09 ± 0.66
Hasche, 199924 monthsPlacebo48//26.2 ± 2.4/8.7 ± 0.9
Hoffmann, 199724 weeksPlacebo3260.2 ± 8.63826.3 ± 2.23.6 ± 2.89.4 ± 0.9
Hoffmann, 199424 weeksPlacebo3056.9 ± 6.74026.8 ± 1.512.1 ± 10.88.29 ± 0.37
Johnston, 19981 yearPlacebo10556.9 ± 1.35132.0 ± 0.94.5 ± 0.78.62 ± 0.18
Johnston, 1998-21 yearPlacebo12053.9/30.64.88.53
Josse, 200312 monthsPlacebo9970.3 ± 0.5/28.6 ± 0.44.8 ± 0.57.3 ± 0.1
Kirkman, 20065 yearsPlacebo11053.7 ± 11.734.635.2 ± 7.1/6.33 ± 0.63
Meneilly, 200012 monthsPlacebo2370 ± 1/28.0 ± 1.0/7 ± 0.2
Rosenbaum, 200222 weeksPlacebo2062 ± 9.74031.7 ± 3.96.86.3 ± 2.1
Segal, 199724 weeksPlacebo425957.129.1/8.25
Scott, 199916 weeksPlacebo5257 ± 86529.0 ± 3.02.17 ± 1.426.89 ± 0.85
Wagner, 200612 weeksPlacebo1754 (50–58)82.328.7 (25.6–30.30)4 (2–5)6.6 (6.1-7.1)

AGI versus placebo, add-on therapy

Bachmann, 200378 weeksPlacebo + SU16663.3 ± 7.243.329.0 ± 2.98 ± 12.59.38 ± 0.73
Chiasson, 19941 yearPlacebo + MET///29.4 ± 0.6//
Placebo + SU///27.8 ± 0.4//
Placebo + ins///30.2 ± 0.5//
Chiasson, 200136 weeksPlacebo + MET8357.9 ± 8.673.530.7 ± 5.17.5 ± 7.48.2 ± 0.9
Halimi, 20006 monthsPlacebo + MET7055 ± 1062.829.7 ± 3.39 ± 7.58.5 ± 1.1
Kelley, 199824 weeksPlacebo + ins7360.84831.112.38.69
Mitrakou, 199824 weeksPlacebo + ins6057.4 ± 5.861.724.5 ± 3.47.9 ± 3.29.9 ± 0.4
Phillips, 200324 weeksPlacebo + MET4362.39 ± 8.0276.730.09 ± 2.856.06 ± 5.327.82 ± 0.83
Schnell, 200720 weeksPlacebo + ins8162.3 ± 7.4/29.9 ± 4.59.6 ± 5.19.4 ± 1
Standl, 199924 weeksPlacebo + ins2462.9 ± 9.4/24.1 ± 2.012.2 ± 5.711.0 ± 1.2
Standl, 200124 weeksPlacebo + SU + MET6861 ± 854.427.9 ± 3.598.84 ± 0.66
Willms, 199912 weeksPlacebo + SU2959.2 ± 9.458.6/10.0 ± 6.410.6 ± 1.6
Van Gaal, 200132 weeksPlacebo + MET7557.9 ± 8.549.329.7 ± 3.968.4 ± 1

TZD versus placebo, monotherapy

Aronoff, 200026 weeksPlacebo79////10.4 ± 0.22
Caballero, 200312 weeksPlacebo//////
Caballero, 2003/Placebo//////
Caballero, 2003/Placebo//////
Carey, 2002)16 weeksPlacebo1757.9 ± 10.776.531.3 ± 3.63.1 ± 3.37.1 ± 1.4
Chou, 201226 weeksPlacebo13755.4 ± 12.3248.930.1 ± 5.434.9 ± 6.137.7 ± 0.54
Ebeling, 199916 weeksPlacebo1263.5 ± 2.85033.1 ± 1.014.3 ± 1.98.8 ± 0.3
Ebeling, 20016 monthsPlacebo10//31.9 ± 1.5/8.6 ± 0.2
Fonseca, 19986 monthsPlacebo79/////
Fonseca, 199826 weeksPlacebo852.6 ± 7.537.539.6 ± 13.4/10.1 ± 1.43
Gastaldelli, 200612 weeksPlacebo1356 ± 261.530.2 ± 1.03 ± 18.2 ± 0.4
Gastaldelli, 2007-14 monthsPlacebo1256 ± 266.729.8 ± 1.22 ± 18.1 ± 0.4
Haffner, 200226 weeksPlacebo9559.8 ± 10.561.130.1 ± 3.94.5 ± 4.88.7 ± 1.5
Hällsten, 200226 weeksPlacebo1457.7 ± 1.971.430.3 ± 1.2/6.3 ± 0.1
Herz, 200316 weeksPlacebo9958.0 ± 10.749.531.7 ± 4.51.5 ± 2.5/
Juhl, 200313 weeksPlacebo1054 ± 96031.7 ± 1.9/6.8 ± 1.0
Khan, 200626 weeksPlacebo2154.8 ± 8.6528.632.0 ± 4.23/8.62 ± 0.323
Kumar, 199612 weeksPlacebo495773.528.9 ± 4.677.2
Lautamäki, 200516 weeksPlacebo2763.2 ± 7.470.429.6 ± 3.46.8 ± 5.97.1 ± 0.9

TZD versus placebo, monotherapy

Miyazaki, 200112 weeksPlacebo14//30.1 ± 1.0/8.3 ± 0.4
Miyazaki, 200116 weeksPlacebo11//29.5 ± 1.3/7.9 ± 0.3
Miyazaki, 200226 weeksPlacebo1158 ± 327.332.8 ± 1.6/8.6 ± 0.5
Miyazaki, 20073 monthsPlacebo1456 ± 264.330 ± 1/8.3 ± 0.4
Natali, 200416 weeksPlacebo2258 ± 981.830.2 ± 3.13.4 ± 3.47.6 ± 0.8
Ozgul, 200812 weeksPlacebo10//29.2 ± 2.3/6.39 ± 1.1
Ozgul, 201012 weeksPlacebo21//29.6 ± 4.1/7.3 ± 0.9
Patel, 199912 weeksPlacebo7556.8 ± 11.5069.328.9 ± 3.984.29.1
Phillips, 200116 weeksPlacebo17357.7 ± 9.268.829.1 ± 4.26.6 ± 6.98.9 ± 1.5
Raskin, 20008 weeksPlacebo6960.06 ± 9.3959.430.44 ± 4.155.6 ± 5.198.7 ± 1.63
Rosenblatt, 200116 weeksPlacebo9655.2 ± 10.056.230.7 ± 5.0/10.42 ± 1.70
Rosenstock, 200216 weeksPlacebo148585920-380.2-37.98.2 ± 1.2
Scherbaum, 200226 weeksPlacebo8459.15629.25.68.75
Sourij, 200612 weeksPlacebo21////6.1 ± 0.5
Tan, 200524 weeksPlacebo6//30.8 ± 1.04/7.52 ± 0.38
Truitt, 201026 weeksPlacebo9255.3 ± 9.351.132.2 ± 5.86.7 ± 5.68.21 ± 0.98
Viljanen, 200526 weeksPlacebo1158.7 ± 8.381.829.8 ± 4.16.2 ± 0.76.2 ± 0.7
Wallace, 200412 weeksPlacebo1162.6 ± 10.072.728.9 ± 2.82.56.7 ± 0.9

TZD versus placebo, add-on therapy

Barnett, 200326 weeksPlacebo + SU8754.17526.46.59.06 ± 1.03
Berhanu, 200720 weeksPlacebo + ins ± MET11252.5 ± 11.0741.131.8 ± 6.28.5 ± 5.438.6 ± 0.13
Bertrand, 201012 monthsPlacebo9565.9 ± 6.99229.5 ± 4.68.4 ± 6.96.9 ± 0.8
Brackenridge, 20093 monthsPlacebo ± MET860.8 ± 3.4587.532.0 ± 1.562.9 ± 0.46.6 ± 0.14
Buras, 200512 weeksPlacebo3957 ± 966.732.6 ± 5.08 ± 97.9 ± 1.4
Buse, 199826 weeksPlacebo + ins7157 ± 114934.5 ± 7.2/9.0 ± 1.4
Buysschaert, 199916 weeksPlacebo + SU856051.8/7.778.5
Charpentier, 20097 monthsPlacebo14759.2 ± 9.666.229.2 ± 3.112.1 ± 7.98.2 ± 0.6
Colca, 201312 weeksPlacebo565348//7.98
Dailey, 200424 weeksPlacebo + glyburide/MET18457 ± 106132 ± 59 ± 68.1 ± 0.8
Davidson, 200724 weeksPlacebo + RSG11653 ± 10.448.331.9 ± 5.66.2 ± 5.39.4 ± 1.4
Derosa, 20086 monthsPlacebo + MET6154 ± 347.528.4 ± 1.74 ± 18.0 ± 0.9
Einhorn, 200016 weeksPlacebo + MET16055.7 ± 9.926032.12 ± 5.59.75 ± 1.3/
Fonseca, 200026 weeksMET + placebo11358.8 ± 9.274.330.3 ± 4.47.3 ± 5.78.6 ± 1.3
Galle, 20126 monthsPlacebo + ins1969.6 ± 9.468.430.3 ± 4.612.4 ± 8.27.7 ± 0.9
Gastaldelli, 2007-24 monthsPlacebo + SU1055 ± 44029.9 ± 1.45 ± 28.3 ± 0.4
Gastaldelli, 200916 weeksPlacebo1062 ± 2/29.7 ± 0.8//
Gòmez-Pérez, 200226 weeksMET + placebo3453.4 ± 7.529.428.5 ± 3.99.1 ± 5.6/
Gram, 20112 yearsPlacebo + ins4655.8 ± 7.771.734.0 ± 6.07.3 ± 4.38.7 ± 1.3
Placebo + ASP4857.1 ± 8.547.933.7 ± 5.09.1 ± 5.58.5 ± 1.2
Grey, 20126 monthsPlacebo1057.9 ± 15.25033.2 ± 4.1/7.1 ± 1.0
Henriksen, 201126 weeksPlacebo + ins10660.9 ± 7.86233.9 ± 5.512.6 ± 7.38.5 ± 1.3
Hollander, 200724 weeksPlacebo + ins18653.8 ± 10.246.233.0 ± 6.512.6 ± 8.69.1 ± 1.3
Kelly, 199912 weeksPlacebo1058.6 ± 7.58028.6 ± 3.76/8.38 ± 1.52
Kipnis, 200116 weeksPlacebo + SU18756.9 ± 8.95832.0 ± 4.9/9.9 ± 0.2
Lebovitz, 2001/Placebo1842/////
Marre, 200926 weeksPlacebo + SU11454.7 ± 10.04730.3 ± 5.46.58.4 ± 1.0
Mattoo, 20056 monthsPlacebo + ins14758.9 ± 6.942.931.8 ± 5.013.4 ± 6.18.79 ± 0.10
Negro, 200512 monthsPlacebo + MET1959 ± 863.228.7 ± 1.96.6 ± 2.98.1 ± 0.5

TZD versus placebo, add-on therapy

Osende, 20013 monthsPlacebo2157.0 ± 1.752.431.5 ± 2.1/9.2 ± 0.2
Raskin, 200126 weeksPlacebo + ins10455.6 ± 10.355.832.7 ± 6.211.7 ± 6.28.9 ± 1.1
Reynolds, 20026 monthsPlacebo + ins///36.3 ± 1.8/9.8 ± 0.5
Rosenstock, 200826 weeksPlacebo + glimepiride 3 mg/d5765 ± 96029.1 ± 4.56.6 ± 3.97.9 ± 1.3
Scheen, 200934.5 monthsPlacebo +MET26160.3 ± 7.96732.0 ± 5.35.6 ± 5.47.6 ± 1.2
Placebo + SU49362.9 ± 7.87129.9 ± 4.36.9 ± 6.17.7 ± 1.4
Schwartz, 199826 weeksPlacebo + ins11856 ± 105135.0 ± 6.310 ± 49.4 ± 1.1
Smith, 200524 weeksPlacebo2153.1 ± 9.347.631.9 ± 5.0/6.46 ± 0.72
Wolffenbuttel, 200026 weeksPlacebo + SU19261.9 ± 9.157.328.1 ± 4.189.21 ± 1.30
Yale, 200124 weeksPlacebo + MET + SU9960 ± 0.95830.0 ± 0.410.8 ± 0.69.7 ± 0.1

DPP-4 inhibitor versus placebo, monotherapy

Aschner, 200624 weeksPlacebo244////8.03 ± 0.82
DeFronzo, 200826 weeksPlacebo64/////
de Jager, 200724 weeksPlacebo9452.2 ± 11.247.932.6 ± 5.61.6 ± 2.58.4 ± 0.8
Goldstein, 200724 weeksPlacebo165////8.68 ± 1.00
Haak, 201224 weeksPlacebo7255.7 ± 11.05028.6 ± 5.2/8.7 ± 1.0
Pi-Sunyer, 200724 weeksPlacebo9252.0 ± 12.054.332.7 ± 6.42.5 ± 3.78.5 ± 0.8
Prato, 201124 weeksPlacebo16754.4 ± 10.347.329.08 ± 4.84/8.0 ± 0.07
Raz I, 200618 weeksPlacebo103////8.05 ± 0.9
Ristic, 200512 weeksPlacebo5554.6 ± 10.656.931.6 ± 4.412.28 ± 2.997.76 ± 0.83
Rosenstock, 200924 weeksPlacebo9553.91 ± 12.3249.530.93 ± 4.262.3 ± 2.77.9 ± 0.9
Rosenstock, 200812 weeksPlacebo6755.2 ± 9.86331.1 ± 4.461.88.0 ± 0.88
Scherbaum, 200852 weeksPlacebo15062.8 ± 11.059.330.0 ± 4.92.7 ± 3.26.8 ± 0.4
Scott, 200712 weeksPlacebo12555.3 ± 9.762.431.6 ± 5.84.7 ± 4.27.9 ± 1.0
Strain, 201324 weeksPlacebo13974.4 ± 438.130.5 ± 4.810.6 ± 6.97.9 ± 0.7

DPP-4 inhibitor versus placebo, add-on therapy

Ahrén, 200412 weeksPlacebo + MET5155.7 ± 11.066.730.2 ± 3.65.5 ± 3.77.8 ± 0.7
Barnett, 201224 weeksPlacebo + ins15157.3 ± 9.274531.8 ± 4.7612.2 ± 7.378.6 ± 0.86
Bosi, 200724 weeksPlacebo + MET13054.5 ± 10.353.133.2 ± 6.16.2 ± 5.38.3 ± 0.9
Charbonnel, 200624 weeksPlacebo + MET226////8.03 ± 0.82
DeFronzo, 200924 weeksPlacebo + MET179/////
DeFronzo, 201226 weeksPlacebo + MET12955.2 ± 9.947.330.6 ± 4.86.0 ± 5.08.5 ± 0.6
Placebo + PIO 15 mg + MET13054.1 ± 9.546.931.3 ± 5.05.7 ± 4.88.5 ± 0.7
Placebo + PIO 30 mg + MET12956.1 ± 9.448.831.4 ± 5.47.6 ± 7.18.5 ± 0.7
Placebo + PIO 45 mg + MET12954.5 ± 9.741.130.7 ± 4.75.7 ± 4.28.5 ± 0.7
Derosa, 201212 monthsPlacebo + MET8754.8 ± 7.95128.9 ± 2.05.4 ± 2.38.0 ± 0.7
Derosa, 201012 monthsPlacebo + PIO/glimepiride//////
Derosa, 201212 monthsPlacebo + MET8352.4 ± 7.151.827.8 ± 1.46.3 ± 3.98.2 ± 0.7
Dobs, 201318 weeksPlacebo + MET + RSG9254.8 ± 9.56030.8 ± 5.69.4 ± 6.88.7 ± 1.0
Fonseca, 200724 weeksPlacebo + ins15258.9 ± 10.854.632.9 ± 5.914.9 ± 8.48.4 ± 1.1
Forst, 201012 weeksPlacebo7160.1 ± 8.16232.2 ± 4.26.2 ± 5.18.4 ± 0.7
Garber, 200724 weeksPlacebo + PIO13854.8 ± 10.650.732.3 ± 5.84.8 ± 4.68.7 ± 1.2
Garber, 200824 weeksPlacebo + SU14457.9 ± 10.558.331.0 ± 5.57.8 ± 5.88.5 ± 1.0
Goldstein, 200724 weeksPlacebo + MET 500 mg bid178////8.90 ± 1.00
Placebo + MET 1000 mg bid177////8.68 ± 0.91
Gomis, 201124 weeksPlacebo + PIO13057.1 ± 10.165.429.7 ± 4.8/8.58 ± 0.08
Goodman, 200924 weeksPlacebo + MET12254.5 ± 9.767.231.7 ± 4.3/8.7 ± 1.1

DPP-4 inhibitor versus placebo, add-on therapy

Haak, 201224 weeksPlacebo + MET 500 mg bid14452.9 ± 10.456.928.9 ± 4.8/8.7 ± 0.9
Placebo + MET 1000 mg bid14755.2 ± 10.653.129.5 ± 5.3/8.5 ± 0.9
Hermansen, 200724 weeksPlacebo + glimepiride/placebo + glimepiride + MET21956.5 ± 9.653.430.7 ± 6.39.3 ± 6.88.34 ± 0.74
Hollander, 200924 weeksPlacebo + TZD18454.0 ± 10.146.230.3 ± 5.85.1 ± 5.48.2 ± 1.1
Jadzinsky, 200924 weeksPlacebo + MET32851.8 ± 10.749.730.2 ± 4.91.7 ± 3.19.4 ± 1.3
Kothny, 201252 weeksPlacebo8969.3 ± 7.261.830.1 ± 5.0/7.9 ± 1.0
Placebo6465.4 ± 10.551.630.0 ± 4.7/7.5 ± 1.1
Lukashevich, 201424 weeksPlacebo + MET + glimepiride16055.0 ± 11.145%28.0 ± 4.57.5 ± 6.18.8 ± 0.9
Nauck, 200926 weeksPlacebo + MET10456 ± 114832 ± 66 ± 58.0 ± 0.9
Nowicki, 201112 weeksPlacebo + ins/OADs8566.2 ± 9.148.230.2 ± 6.818.2 ± 8.58.1 ± 1.1
Pratley, 200924 weeksPlacebo + PIO9755.2 ± 10.854.633.2 ± 6.2/8.0 ± 0.8
Raz, 200818 weeksPlacebo + MET9456.1 ± 9.541.530.4 ± 5.37.3 ± 5.39.1 ± 0.8
Rosenstock, 200624 weeksPlacebo + PIO17856.9 ± 11.157.931.0 ± 5.06.1 ± 5.78.0 ± 0.8
Ross, 201212 weeksPlacebo + MET4359.9 ± 10.747.728.7 ± 5.5/7.92 ± 0.74
Scott, 200818 weeksPlacebo + MET9255.3 ± 9.35930.0 ± 4.55.4 ± 3.77.7 ± 0.9
Taskinen, 201124 weeksPlacebo + MET52356.6 ± 10.95730.05 ± 5.01/8.02 ± 0.88
Vilsbøll, 201024 weeksPlacebo + ins31957.2 ± 9.35331 ± 512 ± 68.6 ± 0.9

SGLT2i versus placebo, monotherapy

Bailey, 201224 weeksPlacebo6853.5 ± 11.0854.432.47 ± 4.911.1 ± 1.957.8 ± 1.12
Bailey, 2015102 weeksPlacebo7552.7 ± 10.341.3/2.1 ± 3.17.84 ± 0.87
Ferrannini, 201024 weeksPlacebo7552.7 ± 10.341.332.3 ± 5.5/7.84 ± 0.87
Ferrannini, 201312 weeksPlacebo825854.928.8/7.8 ± 0.8
Fonseca, 201312 weeksPlacebo6953.4 ± 9.746.430.9 ± 5.54.64 ± 5.937.84 ± 0.78
Inagaki, 201312 weeksPlacebo7557.7 ± 11.072.026.41 ± 4.34/7.99 ± 0.77
List, 200912 weeksPlacebo5453 ± 115632 ± 5/7.9 ± 0.9
Stenlöf, 201326 weeksPlacebo19255.7 ± 10.945.831.8 ± 6.24.2 ± 4.18.0 ± 1.0

SGLT2i versus placebo, add-on therapy

Bailey, 201024 weeksPlacebo + MET13753.7 ± 10.35531.8 ± 5.35.8 ± 5.18.11 ± 0.96
Bailey, 2013102 weeksPlacebo + MET137////8.12 ± 0.96
Barnett, 201452 weeksPlacebo (CKD, 2)9562.6 ± 8.158.930.8 ± 5.6/8.09 ± 0.80
Placebo (CKD, 3)18765.1 ± 8.256.730.3 ± 5.3/8.09 ± 0.80
Placebo (CKD, 4)3762.9 ± 11.951.431.8 ± 6.0/8.16 ± 0.99
Bode, 2015104 weeks
Bolinder, 201224 weeksPlacebo + MET9160.8 ± 6.959.231.7 ± 3.95.5 ± 5.37.16 ± 0.53
Cefalu, 201552 weeksPlacebo + OAD/ins45963.0 ± 7.768.632.9 ± 6.112.3 ± 8.28.08 ± 0.80
Draeger, 201516 weeksPlacebo + MET10158.5 ± 9.446.531.74 ± 4.695.53 ± 4.237.94 ± 0.85
Forst, 201426 weeksPlacebo + MET + PIO11558.3 ± 9.666.132.5 ± 6.410.1 ± 6.68.0 ± 1.0
Häring, 201576 weeksPlacebo + MET + SU22556.9 ± 9.249.827.9 ± 4.9/8.1 ± 0.8
Hakjadj, 201624 weeks
Häring, 201324 weeksPlacebo + MET + SU22556.9 ± 9.25027.9 ± 4.9/8.15 ± 0.83
Häring, 201424 weeksPlacebo + MET20756.0 ± 9.75628.7 ± 5.2/7.90 ± 0.88
Henry, 201224 weeksDapagliflozin 5 mg/d + placebo20352.3 ± 10.245.3/1.6 ± 3.19.1 ± 1.4
Placebo + MET20151.8 ± 9.847.3/1.6 ± 2.69.2 ± 1.3
Dapagliflozin 10 mg/d + placebo21951.1 ± 11.547.9/2.1 ± 3.89.1 ± 1.3
Placebo + MET20852.7 ± 10.446.6/1.9 ± 4.09.1 ± 1.3
Kovacs, 201424 weeksPlacebo + PIO + MET16554.6 ± 10.544.229.3 ± 5.4/8.2 ± 0.92
Lavalle-González, 201326 weeksPlacebo + MET18355.3 ± 9.851.431.1 ± 6.16.8 ± 5.38.0 ± 0.9

SGLT2i versus placebo, add-on therapy

Leiter, 201424 weeksPlacebo48263.6 ± 7.067.032.7 ± 5.713.0 ± 8.48.1 ± 0.8
Ljunggren, 201250 weeksPlacebo + MET9160.8 ± 6.95631.7 ± 3.95.5 ± 5.37.16 ± 0.53
Mathieu, 201524 weeksPlacebo + MET16055.06 ± 9.647.532.26 ± 5.38.06 ± 6.68.176 ± 0.98
Matthaei, 201524 weeksPlacebo + MET + SU10960.9 ± 9.255.632 ± 4.69.6 ± 6.28.24 ± 0.87
Merker, 201576 weeksPlacebo + MET20756.0 ± 9.75628.7 ± 5.2/7.9 ± 0.9
Neal, 201518 weeksPlacebo + ins636636633.1 ± 6.516.0 ± 7.88.3 ± 0.9
52 weeksPlacebo + ins639636633.1 ± 6.516.0 ± 7.88.3 ± 0.9
Rosenstock, 201212 weeksPlacebo + MET6553.3 ± 7.84830.6 ± 4.66.4 ± 5.07.75 ± 0.83
Rosenstock, 201248 weeksPlacebo + PIO13953.5 ± 11.451.1/5.07 ± 5.058.34 ± 1.00
Rosenstock, 201452 weeksPlacebo + ins18855.3 ± 10.14034.7 ± 4.3/8.33 ± 0.72
Rosenstock, 201524 weeks
Ross, 201516 weeksPlacebo + MET207////7.69 ± 0.07
Strojek, 201124 weeksPlacebo + glimepiride 4 mg/d14560.3 ± 10.1649/7.4 ± 5.78.15 ± 0.74
Wilding, 200912 weeksPlacebo + ins2358.4 ± 6.569.634.8 ± 4.613.8 ± 7.38.4 ± 0.9
Wilding, 201248 weeksPlacebo + ins19358.8 ± 8.649.233.1 ± 5.913.5 ± 7.38.47 ± 0.77
Wilding, 201312 weeksPlacebo + MET6657.3 ± 8.654.532.0 ± 4.85.7 ± 3.27.68 ± 0.60
Yale, 201326 weeksPlacebo9068.2 ± 8.463.333.1 ± 6.516.4 ± 10.18.0 ± 0.9

GLP-1RA versus placebo, monotherapy

Buse, 200430 weeksPlacebo12355 ± 1162.634 ± 55.7 ± 4.78.7 ± 1.2
Fonseca, 201212 weeksPlacebo12254.1 ± 11.049.231.8 ± 6.71.48.07 ± 0.9
Grunberger G, 201212 weeksPlacebo3255.0 ± 9.356.332.1 ± 5.23.9 ± 4.77.4 ± 0.6
Hollander P, 201324 weeksPlacebo14354 ± 106136.5 ± 4.84.9 ± 4.17.55 ± 0.84
Madsbad, 200412 weeksPlacebo2957 ± 9.46930.3 ± 4.23.8 ± 3.47.8 ± 0.9
Moretto, 200824 weeksPlacebo7753 ± 95532 ± 51 ± 27.8 ± 0.9
Raz I, 201224 weeksPlacebo12355.8 ± 8.53732.1 ± 5.32.3 ± 1.97.6 ± 1.0
Rosenstock, 200916 weeksPlacebo50////7.8 ± 0.9
Terauchi, 201412 weeksPlacebo3751.7 ± 9.778.427.4 ± 4.54.7 ± 4.58.0 ± 0.6
Vilsbøll, 200714 weeksPlacebo4057.7 ± 8.247.530.4 ± 4.058.2 ± 0.7
Vilsbøll, 200814 weeksPlacebo1055.4 ± 6.78030.3 ± 4.31.8 ± 0.88.1 ± 0.3

GLP-1RA versus placebo, add-on therapy

Ahrén B, 201324 weeksPlacebo + MET17055.0 ± 9.447.633.1 ± 6.55.9 ± 4.78.1 ± 0.9
Apovian, 201024 weeksPlacebo + MET5155.0 ± 7.93933.6 ± 4.63.9 ± 3.27.2 ± 0.5
MET + SU + placebo3655.1 ± 9.93134.3 ± 4.07.6 ± 6.97.9 ± 0.9
Exenatide + placebo1155.3 ± 11.35433.8 ± 4.34.3 ± 2.87.7 ± 1.1
Bergenstal, 201224 weeksPlacebo + MET9056.1 ± 10.15232.5 ± 5.55.5 ± 3.98.03 ± 0.83
Bolli GB, 201424 weeksPlacebo + MET16058.2 ± 9.84532.4 ± 5.56.2 ± 4.78.0 ± 0.8
Buse, 200430 weeksPlacebo + SU12355 ± 1162.634 ± 55.7 ± 4.78.7 ± 1.2
Davies, 201556 weeksPlacebo21154.7 ± 9.845.837.4 ± 7.16.7 ± 5.077.9 ± 0.8
DeFronzo, 200530 weeksPlacebo + NET11354 ± 959.334 ± 66.6 ± 6.18.2 ± 1.0
Home, 2015156 weeksPlacebo + MET + glimepiride11555.7 ± 9.660.931.8 ± 4.99.3 ± 6.18.26 ± 0.98
Kendall, 200530 weeksPlacebo + MET + SU24756 ± 1055.934 ± 59.4 ± 6.28.5 ± 1.0
Lind, 201524 weeks
Marre, 200926 weeksPlacebo + glimepiride 2–4 mg/d11454.7 ± 10.04730.3 ± 5.46.58.4 ± 1.0
Nauck, 200926 weeksPlacebo + MET12156 ± 96031.6 ± 4.48 ± 68.4 ± 1.1
Pinget M, 201324 weeksPlacebo + PIO ± MET16155.3 ± 9.55134.4 ± 7.08.1 ± 5.68.1 ± 0.8
Ratner, 201013 weeksPlacebo10956.3 ± 9.25631.7 ± 4.27.1 ± 5.47.53 ± 0.6
Reusch, 201452 weeksPlacebo + PIO ± MET15154.9 ± 9.4058.334.7 ± 5.67.9 ± 6.18.1 ± 0.9

GLP-1RA versus placebo, add-on therapy

Riddle MC, 201324 weeksPlacebo + ins + MET ± TZD22356 ± 105131.7 ± 6.08.7 ± 5.87.6 ± 0.5
Riddle MC, 2013-124 weeksPlacebo + ins ± MET16757 ± 104932.6 ± 6.312.4 ± 6.38.4 ± 0.8
Russell-Jones, 200926 weeksPlacebo + MET + glimepiride11457.5 ± 9.64931.3 ± 5.09.4 ± 6.28.3 ± 0.9
Skrivanek, 201452 weeksPlacebo + MET3853 ± 113232 ± 47 ± 68.1 ± 1.1
Umpierrez, 201116 weeksPlacebo6656 ± 124433.9 ± 4.37.5 ± 5.48.05 ± 0.8
Zinman, 200716 weeksPlacebo + TZD ± MET11253.7 ± 10.257.134.0 ± 5.08.2 ± 5.87.9 ± 0.8
Zinman, 200926 weeksPlacebo + MET 1 g bid + RSG 4 mg bid17755 ± 106233.9 ± 5.29 ± 68.4 ± 1.2

Data are given as the mean ± SD. BMI: Body mass index; DM: Diabetes mellitus; HbA1c: Glycosylated hemoglobin; SU: Sulfonylurea; MET: Metformin; TZD: Thiazolidinediones; AGI: Alpha glucosidase inhibitors; DPP-4: Dipeptidyl peptidase-4 inhibitors; SGLT2i: Sodium-glucose cotransporter 2 inhibitors; GLP-1RA: Glucagon-like peptide-1 analogs; CKD: Chronic kidney disease; SD: Standard deviation; PIO: Pioglitazone; PBO: Placebo; ASP: Insulin Aspart; OADs: Oral hypoglycemic drugs; RSG: Rosiglitazone; ins: Insulin.

The flowchart of included studies. AGI: Alpha glucosidase inhibitor; SU: Sulfonylurea; MET: Metformin; TZD: Thiazolidinedione; DPP4i: Dipeptidyl peptidase-4 inhibitors; SGLT2i: Sodium-glucose cotransporter 2 inhibitors; GLP-1RA: Glucagon-like peptide-1 receptor agonist. Studies in Asian population Data are given as the mean ± SD. BMI: Body mass index; DM: Diabetes mellitus; HbA1c: Glycosylated hemoglobin; MET: Metformin; AGI: Alpha glucosidase inhibitors; TZD: Thiazolidinediones; DPP-4: Dipeptidyl peptidase-4 inhibitors; SGLT2i: Sodium-glucose cotransporter 2 inhibitors; GLP-1RA: Glucagon-like peptide-1 analogs; SD: Standard deviation; PIO: Pioglitazone; /: No reported data; ins: Insulin. Studies in Caucasian population Data are given as the mean ± SD. BMI: Body mass index; DM: Diabetes mellitus; HbA1c: Glycosylated hemoglobin; SU: Sulfonylurea; MET: Metformin; TZD: Thiazolidinediones; AGI: Alpha glucosidase inhibitors; DPP-4: Dipeptidyl peptidase-4 inhibitors; SGLT2i: Sodium-glucose cotransporter 2 inhibitors; GLP-1RA: Glucagon-like peptide-1 analogs; CKD: Chronic kidney disease; SD: Standard deviation; PIO: Pioglitazone; PBO: Placebo; ASP: Insulin Aspart; OADs: Oral hypoglycemic drugs; RSG: Rosiglitazone; ins: Insulin. Baseline characteristics of the patients received placebo treatment in different studies are shown in Table 1. Baseline BMI was significantly different between Asian and Caucasians in the treatment of AGIs, TZDs, DPP-4i, SGLT2i, and GLP-1RAs, but not in the treatment of MET. Other characteristics such as baseline age, gender, duration of diabetes, and baseline HbA1c were comparable between Asian and Caucasian populations in most kinds of antidiabetic treatment.
Table 1

Baseline characteristics of patients receiving placebo treatment compared between Asian population and Caucasian population in each kind of antidiabetic agents

VariablesAsian (n=63)Caucasian (n=262)tP
SU
 Number of studies022
 Age (years)/57.1 ± 4.3//
 Male (%)/42//
 Baseline BMI (kg/m2)/30.1 ± 2.7//
 DM duration (years)/6.6 ± 3.1//
 Baseline HbA1c (%)/8.60 ± 1.12//
MET
 Number of studies116
 Age (years)56.0 ± 2.857.0 ± 2.3−0.5800.568
 Male (%)4442−0.2060.839
 Baseline BMI (kg/m2)30.0 ± 1.430.5 ± 2.0−0.3340.742
 DM duration (years)3.0 ± 0.07.4 ± 3.2−1.9120.077
 Baseline HbA1c (%)8.00 ± 0.008.61 ± 1.40−0.6010.554
AGI
 Number of studies835
 Age (years)55.6 ± 3.759.4 ± 4.1−2.3530.025
 Male (%)5443−1.7860.086
 Baseline BMI (kg/m2)24.0 ± 0.029.6 ± 2.4−3.2790.001
 DM duration (years)8.2 ± 5.26.4 ± 2.91.1190.273
 Baseline HbA1c (%)9.13 ± 0.848.16 ± 1.242.0690.046
TZD
 Number of studies1272
 Age (years)55.5 ± 5.057.7 ± 3.5−1.7440.086
 Male (%)4441−0.6800.499
 Baseline BMI (kg/m2)24.2 ± 1.831.1 ± 2.2−8.798<0.001
 DM duration (years)7.2 ± 3.07.0 ± 3.40.1290.898
 Baseline HbA1c (%)8.64 ± 1.128.24 ± 1.051.1380.262
DPP-4i
 Number of studies2346
 Age (years)56.6 ± 3.357.1 ± 5.0−0.4230.673
 Male (%)40462.9450.004
 Baseline BMI (kg/m2)25.3 ± 1.130.6 ± 1.5−15.516<0.001
 DM duration (years)5.9 ± 2.86.4 ± 3.7−0.5510.584
 Baseline HbA1c (%)8.24 ± 0.788.22 ± 0.460.1270.899
SGLT2i
 Number of studies1138
 Age (years)56.7 ± 4.157.6 ± 4.2−0.6330.530
 Male (%)37462.9060.005
 Baseline BMI (kg/m2)26.9 ± 1.931.3 ± 1.9−6.247<0.001
 DM duration (years)5.9 ± 2.47.8 ± 4.8−1.0930.282
 Baseline HbA1c (%)8.00 ± 0.08.05 ± 0.4−0.3940.695
GLP-1RA
 Number of studies833
 Age (years)56.6 ± 2.755.7 ± 1.91.1220.269
 Male (%)41481.5410.131
 Baseline BMI (kg/m2)26.8 ± 3.633.0 ± 1.8−7.177<0.001
 DM duration (years)8.1 ± 3.36.6 ± 3.21.2330.225
 Baseline HbA1c (%)8.22 ± 0.448.00 ± 0.351.6100.115

Data are given as the mean ± SD. P values indicated the significance of the comparisons between Asian and Caucasian. SU: Sulfonylurea; BMI: Body mass index; DM: Diabetes mellitus; HbA1c: Glycosylated hemoglobin; MET: Metformin; AGI: Alpha glucosidase inhibitor; TZD: Thiazolidinedione; DPP-4i: Dipeptidyl peptidase-4 inhibitor; SGLT2i: Sodium-glucose cotransporter 2 inhibitor; GLP-1RA: Glucagon-like peptide-1 receptor agonist; SD: Standard deviation; /: No reported data.

Baseline characteristics of patients receiving placebo treatment compared between Asian population and Caucasian population in each kind of antidiabetic agents Data are given as the mean ± SD. P values indicated the significance of the comparisons between Asian and Caucasian. SU: Sulfonylurea; BMI: Body mass index; DM: Diabetes mellitus; HbA1c: Glycosylated hemoglobin; MET: Metformin; AGI: Alpha glucosidase inhibitor; TZD: Thiazolidinedione; DPP-4i: Dipeptidyl peptidase-4 inhibitor; SGLT2i: Sodium-glucose cotransporter 2 inhibitor; GLP-1RA: Glucagon-like peptide-1 receptor agonist; SD: Standard deviation; /: No reported data.

Methodological quality

All studies were double-blindly designed with placebo controlled. The heterogeneity was assessed for each hypoglycemic treatment. When the I2 > 50%, the random-effect model was used, and when the I2 ≤ 50%, the fixed-effect model was used. The publication bias assessed via visual inspection of the funnel plot suggested no significant risk of publication bias. The risk of bias in each study was evaluated according to the Cochrane instrument in both Asian population and Caucasian population [Supplementary Figures S1 and S2]. Evaluation of the risk of bias of the studies included in Asian population. Click here for additional data file. Evaluation of the risk of bias of the studies included in Caucasian population. Click here for additional data file.

Placebo effect in glycosylated hemoglobin between Asian and Caucasian population in antidiabetic treatment

In SU treatment group, the use of placebo led to a nonsignificant HbA1c change from baseline (MD, 0.187%; 95% CI, −0.144–0.518%; P = 0.269) in Caucasian population. There was no study in Asian population. In MET treatment group, the placebo effect led to a nonsignificant HbA1c change of 0.127% (95% CI, −0.360–0.613%; P = 0.610) in Caucasian population and also a nonsignificant HbA1c change of 0.140% (95% CI, −1.330–1.611%; P = 0.852) in Asian population. In AGI treatment group, the placebo effect resulted in an HbA1c change of 0.014% without significance (95% CI, −0.275–0.304%; P = 0.923) in Caucasians and resulted in a nonsignificant HbA1c change of −0.070% (95% CI, −0.562–0.421%; P = 0.779) in Asians. In TZD treatment group, the placebo effect led to a nonsignificant HbA1c change of 0.130% (95% CI, −0.174–0.433%; P = 0.402) in Caucasians as well as a nonsignificant HbA1c change of −0.036% (95% CI, −0.962–0.890%; P = 0.939) in Asians. In DPP-4i treatment group, the placebo effect led to a significant decrease in HbA1c (MD, −0.193%; 95% CI, −0.311–−0.075%; P = 0.001) in Caucasian population and also a significant reduction of HbA1c (MD, −0.162%; 95% CI, −0.289–−0.035%; P = 0.012) in Asian population. In SGLT2i treatment group, the placebo effect resulted in a significant decrease in HbA1c (MD, −0.230%; 95% CI, −0.340–−0.121%; P < 0.001) in Caucasians while it resulted in a nonsignificant HbA1c change of − 0.047% (95% CI, −0.543–0.449%; P = 0.853) in Asian population. In GLP-1RA treatment group, the placebo effect led to an HbA1c change of −0.172% (95% CI, −0.383–0.038%; P = 0.109) without significance in Caucasians and also a nonsignificant HbA1c change of −0.214% (95% CI, −0.448–0.021%; P = 0.074) in Asians [Table 2]. Comparisons of the placebo effect in HbA1c changes relative to baseline indicated that no significant difference was found between Asian and Caucasian population in MET, AGI, TZD, DPP-4i, SGLT-2i, and GLP-1RA treatment. Since no studies of Asian population in SU treatment, it was concerned lack of evidence for comparing the Asian and Caucasian population in this category [Table 2 and Supplementary Figures S3-S15].
Table 2

Placebo effect on HbA1c changes in the antidiabetic treatment between Asian and Caucasian population

VariablesAsianCaucasianDifferences


nMD95% CIP*I2 (%)nMD95% CIPI2 (%)
SU
 Total0////250.187−0.144–0.5180.26977.7/
 Mono0////110.6830.181–1.1850.00861.9/
 Addon0////14−0.286−0.721–0.1490.19760.7/
MET
 Total20.140−1.330–1.6110.8520.0230.127−0.360–0.6130.61068.30.013
 Mono20.140−1.330–1.6110.8520.0150.404−0.112–0.9190.12585.3−0.264
 Addon0////8−0.375−1.374–0.6240.46270.9/
AGI
 Total8−0.070−0.562–0.4210.7790.0350.014−0.275–0.3040.92392.4−0.084
 Mono2−0.301−0.921–0.3190.3410.0200.128−0.285–0.5410.54592.4−0.429
 Addon6−0.014−0.607–0.5780.9620.015−0.066−0.464–0.3320.74688.30.052
TZD
 Total11−0.036−0.962–0.8900.9390.0660.130−0.174–0.4330.40279.3−0.166
 Mono20.203−2.328–2.7350.8750.0330.403−0.091–0.8980.11076.7−0.200
 Addon9−0.105−1.048–0.8380.8270.033−0.016−0.399–0.3670.93482.2−0.089
DPP-4i
 Total28−0.162−0.289–−0.0350.01288.954−0.193−0.311–−0.0750.00194.20.031
 Mono10−0.041−0.191–0.1080.58891.8160.091−0.128–0.3110.41562.6−0.132
 Addon18−0.211−0.379–−0.0440.01380.038−0.288−0.427–−0.1490.00095.30.077
SGLT2i
 Total10−0.047−0.543–0.4490.85387.243−0.230−0.340–−0.1210.00088.50.183
 Mono90.053−0.398–0.5040.81879.580.033−0.565–0.6320.91342.40.020
 Addon1////35−0.257−0.361–−0.1540.00090.6/
GLP-1RA
 Total9−0.214−0.448–0.0210.07481.334−0.172−0.383–0.0380.10972.1−0.042
 Mono30.048−0.670–0.7650.89718.59−0.091−0.502–0.3210.6660.00.139
 Addon6−0.269−0.509–−0.0290.02885.025−0.188−0.427–0.0500.12279.0−0.081

*P value represented the significance of placebo effect on HbA1c changes from baseline in Asian population; †P value represented the significance of placebo effect on HbA1c changes from baseline in Caucasian population. ‡All differences of HbA1c changes between Asian and Caucasian populations were without significance. MD: Mean difference; CI: Confidence interval; SU: Sulfonylurea; MET: Metformin; AGI: Alpha glucosidase inhibitor; TZD: Thiazolidinedione; DPP-4i: Dipeptidyl peptidase-4 inhibitor; SGLT2i: Sodium-glucose cotransporter 2 inhibitor; GLP-1RA: Glucagon-like peptide-1 receptor agonist; Mono: Monotherapy; Addon: Add-on therapy; n: Number of treatment arms included; /: No reported data.

Placebo effect on HbA1c changes in the antidiabetic treatment between Asian and Caucasian population *P value represented the significance of placebo effect on HbA1c changes from baseline in Asian population; †P value represented the significance of placebo effect on HbA1c changes from baseline in Caucasian population. ‡All differences of HbA1c changes between Asian and Caucasian populations were without significance. MD: Mean difference; CI: Confidence interval; SU: Sulfonylurea; MET: Metformin; AGI: Alpha glucosidase inhibitor; TZD: Thiazolidinedione; DPP-4i: Dipeptidyl peptidase-4 inhibitor; SGLT2i: Sodium-glucose cotransporter 2 inhibitor; GLP-1RA: Glucagon-like peptide-1 receptor agonist; Mono: Monotherapy; Addon: Add-on therapy; n: Number of treatment arms included; /: No reported data. Placebo effect on HbA1c changes in sulfonylurea treatment group in Caucasian population. Click here for additional data file. Placebo effect on HbA1c changes in metformin treatment group in Asian population. Click here for additional data file. Placebo effect on HbA1c changes in metformin treatment group in Caucasian population. Click here for additional data file. Placebo effect on HbA1c changes in alpha glucosidase inhibitors treatment group in Asian population. Click here for additional data file. Placebo effect on HbA1c changes in alpha glucosidase inhibitors treatment group in Caucasian population. Click here for additional data file. Placebo effect on HbA1c changes in thiazolidinediones treatment group in Asian population. Click here for additional data file. Placebo effect on HbA1c changes in thiazolidinediones treatment group in Caucasian population. Click here for additional data file. Placebo effect on HbA1c changes in DPP-4 inhibitors treatment group in Asian population. Click here for additional data file. Placebo effect on HbA1c changes in DPP-4 inhibitors treatment group in Caucatian population. Click here for additional data file. Placebo effect on HbA1c changes in sodium-glucose cotransporter 2 inhibitors treatment group in Asian population. Click here for additional data file. Placebo effect on HbA1c changes in sodium-glucose cotransporter 2 inhibitors treatment group in Caucatian population. Click here for additional data file. Placebo effect on HbA1c changes in glucagon-like peptide-1 analogs treatment group in Asian population. Click here for additional data file. Placebo effect on HbA1c changes in glucagon-like peptide-1 analogs treatment group in Caucasian population. Click here for additional data file.

Placebo effect in body weight between Asian and Caucasian population in antidiabetic treatment

In SU treatment group, the placebo effect resulted in a significant weight decrease (MD, −0.833 kg; 95% CI, −1.423–−0.243 kg; P = 0.006) in Caucasian population. No data were found with placebo effect in Asians. In MET treatment group, the placebo effect resulted in a nonsignificant weight change of −0.686 kg (95% CI, −2.823–1.451 kg; P = 0.529) in Caucasian population. No data were found with placebo effect in Asian population. In AGI treatment group, the placebo effect resulted in a nonsignificant weight change of −0.594 kg (95% CI, −1.607–0.420 kg; P = 0.251) in Caucasians and also a nonsignificant body weight change of 0.145 kg (95% CI, −1.543–1.834 kg; P = 0.866) in Asians. In TZD treatment group, the placebo effect led to a weight change of 0.018 kg without significance (95% CI, −0.945–0.982 kg; P = 0.970) in Caucasians and also a nonsignificant body weight change of −0.348 kg (95% CI, −1.494–0.797 kg; P = 0.551) in Asians. In DPP-4i treatment group, the placebo effect led to a weight change of −0.058 kg without significance (95% CI, −0.407–0.290 kg; P = 0.743) in Caucasian population and a nonsignificant body weight change of −0.345 kg (95% CI, −0.854–0.164 kg; P = 0.184) in Asian population. In SGLT2i treatment group, the placebo treatment led to a weight change of −0.512 kg without significance (95% CI, −2.882–1.859 kg; P = 0.672) in Caucasians and also a nonsignificant body weight change of −0.399 kg (95% CI, −1.286–0.488 kg; P = 0.378) in Asian population. In GLP-1RA treatment group, weight change in placebo effect was −0.953 kg with significance (95% CI, −1.626–−0.280 kg; P = 0.006) in Caucasians, and in Asians, the placebo effect was associated with a significant body weight reduction (MD, −0.612 kg; 95% CI, −0.884–−0.339 kg; P < 0.001). Comparisons of the placebo effect in body weight changes from baseline indicated that no significant difference was found between Asian and Caucasian population in AGI, TZD, DPP-4i, SGLT-2i, and GLP-1RA treatment. Since no studies of Asian population in SU and MET treatment, it was concerned lack of evidence for comparing the Asian and Caucasian population in those treatments [Table 3 and Supplementary Figures S16-S27].
Table 3

Placebo effect on body weight changes in the antidiabetic treatment between Asian and Caucasian population

VariablesAsianCaucasianDifferences


nMD95% CIP*I2 (%)nMD95% CIPI2 (%)
SU
 Total0////10−0.833−1.423–−0.2430.00699.5/
 Mono0////6−0.947−1.810–−0.0840.03299.8/
 Addon0////4−0.647−1.301–0.0070.05377.4/
MET
 Total0////8−0.686−2.823–1.4510.5290.0/
 Mono0////6−0.950−3.624–1.7230.4860.0/
 Addon0////20.346−0.597–1.2880.47288.9/
AGI
 Total30.145−1.543–1.8340.8660.012−0.594−1.607–0.4200.2510.00.739
 Mono1////9−0.699−1.733–0.3350.1850.0/
 Addon20.136−2.341–2.6120.9140.03−0.330−2.759–2.0990.7900.00.466
TZD
 Total4−0.348−1.494–0.7970.5510.0190.018−0.945–0.9820.97067.4−0.366
 Mono1////7−0.582−1.161–−0.0030.04973.4/
 Addon3−0.322−1.567–0.9230.6120.0120.122−1.003–1.2470.83271.3−0.444
DPP-4i
 Total13−0.345−0.854–0.1640.18445.134−0.058−0.407–0.2900.74385.9−0.287
 Mono6−0.468−0.989–0.0540.07929.310−0.304−0.720–0.1120.15287.7−0.164
 Addon7−0.242−1.070–0.5870.56730.4240.030−0.419–0.4790.89685.4−0.272
SGLT2i
 Total10−0.399−1.286–0.4880.3789.341−0.512−2.882–1.8590.67269.50.113
 Mono9−0.375−1.447–0.6960.49233.38−0.975−12.230–10.2790.8650.00.600
 Addon1////33−0.453−2.711–1.8050.69474.9/
GLP-1RA
 Total8−0.612−0.884–−0.339<0.00138.828−0.953−1.626–−0.2800.00683.20.341
 Mono3−0.767−1.270–−0.2640.0030.07−1.388−1.804–−0.973<0.00185.30.621
 Addon5−0.570−0.888–−0.252<0.00163.821−0.882−1.662–−0.1020.02782.30.312

*P value represented the significance of placebo effect on body weight changes from baseline in Asian population; †P value represented the significance of placebo effect on body weight changes from baseline in Caucasian population. ‡All differences of body weight changes between Asian and Caucasian populations were without significance. MD: Mean difference; CI: Confidence interval; SU: Sulfonylurea; MET: Metformin; AGI: Alpha glucosidase inhibitor; TZD: Thiazolidinedione; DPP-4i: Dipeptidyl peptidase-4 inhibitor; SGLT2i: Sodium-glucose cotransporter 2 inhibitor; GLP-1RA: Glucagon-like peptide-1 receptor agonist; Mono: Monotherapy; Addon: Add-on therapy; n: Number of treatment arms included; /: No reported data.

Placebo effect on body weight changes in the antidiabetic treatment between Asian and Caucasian population *P value represented the significance of placebo effect on body weight changes from baseline in Asian population; †P value represented the significance of placebo effect on body weight changes from baseline in Caucasian population. ‡All differences of body weight changes between Asian and Caucasian populations were without significance. MD: Mean difference; CI: Confidence interval; SU: Sulfonylurea; MET: Metformin; AGI: Alpha glucosidase inhibitor; TZD: Thiazolidinedione; DPP-4i: Dipeptidyl peptidase-4 inhibitor; SGLT2i: Sodium-glucose cotransporter 2 inhibitor; GLP-1RA: Glucagon-like peptide-1 receptor agonist; Mono: Monotherapy; Addon: Add-on therapy; n: Number of treatment arms included; /: No reported data. Placebo effect on weight changes in sulfonylurea treatment group in Caucasian population. Click here for additional data file. Placebo effect on weight changes in metformin treatment group in Caucatian population. Click here for additional data file. Placebo effect on weight changes in alpha glucosidase inhibitors treatment group in Asian population. Click here for additional data file. Placebo effect on weight changes in alpha glucosidase inhibitors treatment group in Caucasian population. Click here for additional data file. Placebo effect on weight changes in thiazolidinediones treatment group in Asian population. Click here for additional data file. Placebo effect on weight changes in thiazolidinediones treatment group in Caucasian population. Click here for additional data file. Placebo effect on weight changes in DPP-4 inhibitors treatment group in Asian population. Click here for additional data file. Placebo effect on weight changes in DPP-4 inhibitors treatment group in Caucasian population. Click here for additional data file. Placebo effect on weight changes in sodium-glucose cotransporter 2 inhibitors treatment group in Asian population. Click here for additional data file. Placebo effect on weight changes in sodium-glucose cotransporter 2 inhibitors treatment group in Caucasian population. Click here for additional data file. Placebo effect on weight changes in glucagon-like peptide-1 analogs treatment group in Asian population. Click here for additional data file. Placebo effect on weight changes in glucagon-like peptide-1 analogs treatment group in Caucasian population. Click here for additional data file.

Associated factors with placebo effect

Meta-regression analysis indicated that, in each antidiabetic treatment group, the HbA1c changes in placebo treatment were not associated with the baseline age, gender, BMI, baseline HbA1c, DM duration, or study duration, respectively. There was also no association between HbA1c change and weight change from baseline. Meta-regression analysis also suggested that the weight change was not associated with the baseline age, gender, baseline BMI, duration of diabetes, study duration, baseline HbA1c, and the HbA1c changes from baseline in each antidiabetic treatment [Supplementary Table S3].
Supplementary Table S3

Meta-regression analysis for placebo effect

VariablesAsianCaucasian


Coefficient95% CIPCoefficient95% CIP
SU
 HbA1c change
  Total group
   Age///0.056−0.014–0.1250.109
   Sex///0.017−0.001–0.3490.063
   BMI///−0.091−0.196–0.0140.083
   Duration of diabetes///0.015−0.073–0.1040.721
   Study duration///−0.000−0.009–0.0080.935
   Baseline HbA1c///−0.166−0.393–0.0610.144
   Baseline weight//////
   Weight change///−0.193−0.370–−0.0170.034
Weight change
  Total group
   Age///−0.4170.997–0.1630.142
   Sex///−0.056−0.183–0.0720.359
   BMI///0.426−0.560–1.4120.354
   Duration of diabetes///−0.213−0.839–0.4140.467
   Study duration///−0.010−0.154–0.1350.888
   Baseline HbA1c///−0.065−2.681–2.5500.958
   Baseline weight///0.033−0.259–0.3260.801
   HbA1c change///−2.994−4.365–−1.6240.000
MET
 HbA1c change
  Total group
   Age///−0.075−0.214–0.0640.272
   Sex///−0.001−0.021–0.0290.938
   BMI///−0.075−0.257–0.1070.395
   Duration of diabetes///−0.192−0.341–−0.0420.016
   Study duration///0.002−0.009–0.0120.761
   Baseline HbA1c///0.084−0.141–0.3100.446
   Baseline weight///−0.035−0.096–0.0270.250
   Weight change///−0.106−0.343–0.1320.356
Weight change
  Total group
   Age///0.072−0.230–0.3730.618
   Sex///0.013−0.035–0.0600.573
   BMI///−0.080−0.974–0.8140.849
   Duration of diabetes///0.335−0.316–0.9850.282
   Study duration///0.006−0.049–0.0620.805
   Baseline HbA1c///0.302−0.937–1.5400.609
   Baseline weight///0.135−0.044–0.3140.128
   HbA1c change///−0.061−1.257–1.1340.914
AGI
 HbA1c change
  Total group
   Age0.004−0.120–0.1270.9460.017−0.052–0.0860.607
   Sex−0.016−0.065–0.0330.450−0.005−0.035–0.2370.700
   BMI///−0.019−0.142–0.1040.756
   Duration of diabetes0.025−0.190–0.2400.765−0.108−0.227–0.0100.071
   Study duration−0.017−0.130–0.0950.7180.007−0.008–0.0220.356
   Baseline HbA1c0.130−0.240–0.5000.423−0.301−0.572–−0.0310.030
   Baseline weight///0.017−0.031–0.0660.467
   Weight change1.143−3–789–6.0740.424−0.178−0.408–0.0520.121
Weight change
 Total group
   Age0.104−1.373–1.5810.7910.023−0.305–0.3510.881
   Sex///0.001−0.066–0.0680.978
   BMI///−0.055−0.528–0.4180.808
   Duration of diabetes0.671−38.678–37.3360.8600.079−0.222–0.3800.576
   Study duration0.083−1.578–1.7450.849−0.017−0.074–0.0410.549
   Baseline HbA1c0.297−5.280–5.8740.8400.109−0.876–1.0950.817
   Baseline weight///−0.018−0.092–0.0560.614
   HbA1c change0.593−11.369–12.5560.8510.097−1.807–2.0020.915
TZD
 HbA1c change
  Total group
   Age−0.004−0.073–0.0650.8990.026−0.031–0.0840.356
   Sex−0.001−0.020–0.0190.9380.005−0.008–0.0180.472
   BMI0.036−0.182–0.2550.706−0.090−0.186–0.0060.066
   Duration of diabetes−0.021−0.276–0.2330.826−0.040−0.097–0.0160.158
   Study duration0.002−0.058–0.0620.947−0.011−0.027–0.0040.150
   Baseline HbA1c−0.056−0.368–0.2560.6950.052−0.091–0.1960.468
   Baseline weight−0.007−0.241–0.2280.940−0.022−0.054–0.0100.175
   Weight change−0.219−2.345–1.9060.789−0.004−0.150–0.1430.960
Weight change
  Total group
   Age0.040−0.593–0.6730.8680.039−0.178–0.2560.716
   Sex−0.135−0.237–0.2100.8750.006−0.038–0.0500.787
   BMI−0.114−1.688–1.4600.850−0.332−0.599–−0.0650.016
   Duration of diabetes///−0.018−0.207–0.1710.848
   Study duration−0.012−0.215–0.1910.879−0.059−0.015–0.0410.241
   Baseline HbA1c0.117−2.087–2.3220.890−0.594−1.080–−0.1080.018
   Baseline weight///−0.155−0.244–−0.0650.001
    HbA1c change−0.273−19.846–19.3010.9710.360−0.770–1.4900.521
DPP-4i
 HbA1c change
  Total group
   Age0.046−0.000–0.0920.0500.018−0.010–0.0460.198
   Sex0.0250.013–0.0370.0000.011−0.009–−.0320.269
   BMI−0.098−0.224–0.0270.1180.032−0.072–0.1360.537
   Duration of diabetes0.024−0.037–0.0860.4090.007−0.034–0.0490.723
   Study duration−0.044−0.061–−0.0270.000−0.004−0.018–0.0090.514
   Baseline HbA1c−0.060−0.238–0.1180.492−0.418−0.669–−0.1660.002
   Baseline weight−0.030−0.077–0.0170.1860.015−0.027–0.0560.476
   Weight change0.322−0.046–0.6920.0810.039−0.102–0.1790.583
Weight change
  Total group
   Age0.009−0.061–0.0800.7790.035−0.073–0.1440.511
   Sex−0.010−0.056–0.0370.6580.026−0.033–0.0860.376
   BMI−0.106−0.664–0.4530.6900.004−0.307–0.3150.981
   Duration of diabetes0.034−0.058–0.1260.4330.1090.003–0.2150.044
   Study duration0.003−0.052–0.0580.9180.029−0.006–0.0650.106
   Baseline HbA1c0.139−0.496–0.7740.6440.558−0.269–1.3860.180
   Baseline weight−0.081−0.210–0.0390.157−0.010−0.120–0.1000.850
    HbA1c change−0.283−1.316–0.7510.564−0.915−2.651–0.8210.293
SGLT2i
 HbA1c change
  Total group
   Age0.055−0.021–0.1310.1340.0740.038–0.1100.000
   Sex0.013−0.007–0.0330.1760.0240.004–0.0440.023
   BMI−0.059−0.179–0.0610.283−0.006−0.091–0.0790.885
   Duration of diabetes−0.081−0.333–0.1710.4620.0460.010–0.0830.015
   Study duration0.001−0.010–0.01120.8810.004−0.003–0.0110.270
   Baseline HbA1c0.264−0.926–1.4540.623−0.793−1.067–−0.5180.000
   Baseline weight//////
   Weight change0.589−0.264–1.4420.150///
Weight change
  Total group
   Age0.005−0.104–0.1130.920−0.016−0.102–0.0700.711
   Sex0.014−0.011–0.3950.226−0.027−0.078–0.0250.299
   BMI0.023−0.106–0.1520.683−0.009−0.162–0.1440.903
   Duration of diabetes−0.093−0.345–0.1590.4020.015−0.112–0.1420.807
   Study duration−0.001−0.012–0.0100.7890.010−0.006–0.0250.201
   Baseline HbA1c0.460−1.099–2.0190.5150.320−0.535–1.1750.454
   Baseline weight−0.007−0.058–0.0440.762///
   HbA1c change///0.020−0.698–0.7390.954
GLP-1RA
 HbA1c change
  Total group
   Age0.050−0.033–0.1340.197−0.033−0.121–0.0540.442
   Sex0.005−0.011–0.0200.4920.011−0.003–0.0250.112
   BMI0.031−0.065–0.1270.467−0.009−0.094–0.0770.840
   Duration of diabetes0.012−0.068–0.0920.735−0.001−0.044–0.0410.948
   Study duration0.006−0.039–0.0500.7710.0040.001–0.0070.023
   Baseline HbA1c0.712−0.252–1.6760.1240.168−0.129–0.4640.258
   Baseline weight0.012−0.018–0.0410.390///
   Weight change0.273−0.298–0.8440.2950.023−0.089–0.1350.675
Weight change
  Total group
   Age−0.003−0.144–0.1370.9550.039−0.211–0.2890.753
   Sex−0.005−0.031–0.0200.6340.024−0.023–0.0720.302
   BMI0.013−0.200–0.2270.886−0.173−0.413–0.0670.152
   Duration of diabetes0.021−0.144–0.1860.7710.091−0.048–0.2310.190
   Study duration−0.023−0.083–0.0370.395−0.001−0.016–0.0130.866
   Baseline HbA1c1.879−0.065–3.8240.0560.171−0.975–1.3180.762
   Baseline weight−0.003−0.069–0.0640.925−0.032−0.106–0.0420.381
   HbA1c change0.135−1.490–1.7600.850−0.268−2.021–1.4860.757

Data are given as median values with the interquartile range in parentheses. P values indicated the significance of the comparisons between Asia and Caucasian. CI: Confidence interval; SU: Sulfonylurea; BMI: Body mass index; HbA1c: Glycosylated hemoglobin; MET: Metformin; AGI: Alpha glucosidase inhibitors; TZD: Thiazolidinediones; DPP-4i: Dipeptidyl peptidase-4 inhibitors; SGLT2i: Sodium-glucose cotransporter 2 inhibitors; GLP-1RA: Glucagon-like peptide-1 analogs; /: No reported data.

Meta-regression analysis for placebo effect Data are given as median values with the interquartile range in parentheses. P values indicated the significance of the comparisons between Asia and Caucasian. CI: Confidence interval; SU: Sulfonylurea; BMI: Body mass index; HbA1c: Glycosylated hemoglobin; MET: Metformin; AGI: Alpha glucosidase inhibitors; TZD: Thiazolidinediones; DPP-4i: Dipeptidyl peptidase-4 inhibitors; SGLT2i: Sodium-glucose cotransporter 2 inhibitors; GLP-1RA: Glucagon-like peptide-1 analogs; /: No reported data.

DISCUSSION

With the aim of comparisons between Asian and Caucasian population of the placebo effect, this meta-analysis indicated that the overall difference of the placebo effect in HbA1c changes from baseline was not significant, and the difference of the placebo effect in body weight changes from baseline between the two populations was neither significant in the seven kinds of antidiabetic treatments in T2DM. However, it is clear that there was a reduction of HbA1c and body weight due to placebo in each population. These data were based on a large dataset of placebo treatment including 63 studies in Asians and 262 studies in Caucasians. Moreover, placebo effect on HbA1c change or body weight change was not associated with baseline age, gender, BMI, baseline HbA1c, duration of diabetes, and study duration both in Asians and Caucasians. The term “'placebo effect” was first introduced by Graves in 1920.[23] A placebo treatment may be administered through ingestion, injection, inhalation, insertion into a body cavity, or topical application. Placebo effect in T2DM might be associated with the optimal dietary treatment as well as physical activity and exercise for the glucose control and body weight control, besides medication therapy. Some evidence indicated that the dietary treatment for the glucose control might reduce HbA1c by 0.12~0.5% and also associated with weight change by −0.84~1.39 kg.[242526] Physical activity and exercise were also suggested to improve the glucose control in people with T2DM with an average decrease in HbA1c by 0.4~0.6%.[345] All the above may contribute to the placebo effect on glucose control and body weight control. In this meta-analysis, we summarized the exact placebo effect in Caucasian population as well as in Asian population with different treatments for T2DM. So far, mechanisms that underlie placebo effect are still not clearly understood. As Shapiro et al. indicated,[6] the reasons might fall within one of the three general categories. First, patient variables might be associated with placebo effect, including the attitude toward the physician, the treatment, and the illness, as well as including the levels of anxiety and expectation. However, in this meta-analysis, we could not collect these data from published trials to make further comparisons. Second, the physician variables may be another factor, including the doctor's credibility, enthusiasm, authority, empathy, and sympathy, which was also lack of evidence in this study. Third, there might be associated with situational variables, including the location and form of treatment. However, in this study, we compared placebo effect in glucose control and body weight change between Caucasian and Asian population in all the seven kinds of antidiabetic treatments but found no significant difference. Other possible reasons for placebo effect, as indicated by Gowdey[2] in his review of placebo pharmacology, the influence of expectations might play a role, which could not be confirmed in our study because of no evidence. Besides medication therapy, mechanisms for placebo effect in T2DM might be associated with the optimal dietary approach as well as physical activity to control hyperglycemia in T2DM.[2] Several reviews and meta-analyses[3424] indicated that diet and exercise could produce significant improvements in glucose control in people with T2DM. The difference of diet approach between Asian and Caucasian population was reported as the different composition of diet; however, with the rapid development of Asian, the western diet became more and more popular in Asian countries and the difference became smaller and smaller. The difference of physical activity between the two ethnicities was seldom reported and studied; therefore, all the above possible causes or mechanisms that might be associated with the placebo effect in T2DM treatments may not be significantly different between Caucasian and Asian population. In a recently reported review, Kaptchuk and Miller[7] suggested that the therapeutic benefits associated with placebo effects did not alter the pathophysiology of diseases beyond their symptomatic manifestations. The observation from our mate-analysis supported the above conclusion. Ulteriorly, we proposed that the placebo effect in HbA1c changes and body weight changes of anti-diabetes treatment were comparable between Caucasians and Asians although there were evidence indicating that the pathophysiology of insulin secretion and insulin resistance was not the same between the two ethnicities.[914] What's more, meta-regression analysis from our study also indicated that the placebo effect on HbA1c changes as well as on weight changes from baseline was not associated with baseline factors although the baseline BMI levels were significantly lower in Asians than that in Caucasians. Certainly, as a meta-analysis, our meta-analysis has some limitations that we will better list here. First, the inclusion criteria and the baseline characteristics such as age, BMI, and duration of diabetes were different across studies, which caused a high level of heterogeneity. However, with the aim of comparisons between Asian and Caucasian population of the placebo effect, we used the random-effect model for analysis when the level of heterogeneity was high and also performed sensitivity analysis. We had also made meta-regression analysis to find if the baseline characteristics were the associated factors. Second, the data on placebo effects on glucose control or body weight control in each trial were used as the parameters in this meta-analysis, but not the pooled, patient-level data, which should be more useful to make a conclusion. However, these data are seldom available because most trials are sponsored by the industry. Therefore, we used the parameters in each trial as surrogates. Third, since no studies of Asian population in SU and MET treatments when we made comparisons of the placebo effect on HbA1c and body weight changes from baseline, it is concerned lack of evidence for comparing the Asian and Caucasian patients in those categories. Moreover, publication bias may also have effects on the results of placebo effects in this meta-analysis; however, a funnel plot assessment was carried out to minimize the risk of publication bias. In a word, our results from this meta-analysis should be interpreted cautiously. The overall difference of the placebo effect on HbA1c changes as well as on body weight changes was not significant between Asian and Caucasian T2DM patients, but it is clear that there was a reduction of HbA1c and body weight due to placebo in each population. The placebo effect was not associated with baseline age, gender, baseline BMI, baseline HbA1c, duration of diabetes, or study duration. Supplementary information is linked to the online version of the paper on the Chinese Medical Journal website.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.
  24 in total

1.  Prevalence of diabetes among men and women in China.

Authors:  Wenying Yang; Juming Lu; Jianping Weng; Weiping Jia; Linong Ji; Jianzhong Xiao; Zhongyan Shan; Jie Liu; Haoming Tian; Qiuhe Ji; Dalong Zhu; Jiapu Ge; Lixiang Lin; Li Chen; Xiaohui Guo; Zhigang Zhao; Qiang Li; Zhiguang Zhou; Guangliang Shan; Jiang He
Journal:  N Engl J Med       Date:  2010-03-25       Impact factor: 91.245

Review 2.  Diabetes in Asia: epidemiology, risk factors, and pathophysiology.

Authors:  Juliana C N Chan; Vasanti Malik; Weiping Jia; Takashi Kadowaki; Chittaranjan S Yajnik; Kun-Ho Yoon; Frank B Hu
Journal:  JAMA       Date:  2009-05-27       Impact factor: 56.272

3.  Placebo Effects in Medicine.

Authors:  Ted J Kaptchuk; Franklin G Miller
Journal:  N Engl J Med       Date:  2015-07-02       Impact factor: 91.245

Review 4.  Genetics of type 2 diabetes in East Asian populations.

Authors:  Yoon Shin Cho; Jong-Young Lee; Kyong Soo Park; Chu Won Nho
Journal:  Curr Diab Rep       Date:  2012-12       Impact factor: 4.810

5.  Semantics of the placebo.

Authors:  A K Shapiro
Journal:  Psychiatr Q       Date:  1968

6.  Efficacy of dipeptidyl-peptidase-4 inhibitors and impact on β-cell function in Asian and Caucasian type 2 diabetes mellitus patients: A meta-analysis.

Authors:  Xiaoling Cai; Xueyao Han; Yingying Luo; Linong Ji
Journal:  J Diabetes       Date:  2014-09-10       Impact factor: 4.006

Review 7.  Placebo interventions for all clinical conditions.

Authors:  A Hróbjartsson; P C Gøtzsche
Journal:  Cochrane Database Syst Rev       Date:  2004

8.  Diabetes in Asia.

Authors:  Ambady Ramachandran; Ronald Ching Wan Ma; Chamukuttan Snehalatha
Journal:  Lancet       Date:  2009-10-28       Impact factor: 79.321

Review 9.  Exercise for type 2 diabetes mellitus.

Authors:  D E Thomas; E J Elliott; G A Naughton
Journal:  Cochrane Database Syst Rev       Date:  2006-07-19

10.  Comparisons of the efficacy of alpha glucosidase inhibitors on type 2 diabetes patients between Asian and Caucasian.

Authors:  Xiaoling Cai; Xueyao Han; Yingying Luo; Linong Ji
Journal:  PLoS One       Date:  2013-11-13       Impact factor: 3.240

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  1 in total

1.  Metagenomic analysis reveals crosstalk between gut microbiota and glucose-lowering drugs targeting the gastrointestinal tract in Chinese patients with type 2 diabetes: a 6 month, two-arm randomised trial.

Authors:  Xiuying Zhang; Huahui Ren; Cuiling Zhao; Zhun Shi; Li Qiu; Fangming Yang; Xianghai Zhou; Xueyao Han; Kui Wu; Huanzi Zhong; Yufeng Li; Junhua Li; Linong Ji
Journal:  Diabetologia       Date:  2022-08-05       Impact factor: 10.460

  1 in total

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