Assessment of precision medicine potential for risk factor in diabetes mellitus: a meta-regression analysis of dose-dependent glycemic control data from 44 randomized controlled trials

Aims/hypothesis: To assess the potential for precision medicine in diabetes mellitus by evaluating the presence and degree of dose-dependent variability of treatment responses regarding HbA1c. If such potential was present, an increase in drug dose would be associated with higher response heterogeneity, and thus with consequent promise for a precision approach.

Methods: Using data from 44 randomized clinical trials with 44 placebo and 101 verum (i.e., active treatment) arms including 23,395 participants, we performed a meta-regression analysis to determine dose-dependent variability of HbA1c (as determined by the natural logarithm of the standard deviation, i.e. Log[SD]) in response to glucose-lowering drug treatments in each trial arm. The percentage dose (ranging from 0 to 100%; placebo arms and verum arms with maximal dose, respectively) as well as the Log(Mean) of HbA1c were considered as fixed effect covariates.

Results: Our analyses identified variability of HbA1c values after treatment with a median Log(SD) value of 0.11% in the placebo arms, as compared to 0.02% in the verum arms. The primary weighted meta-regression model showed a regression coefficient of 0.025 (95% CI: -0.050 to 0.099) pointing to a very slight increase of Log(SD) of HbA1c values with higher percentage doses.

Conclusions/interpretation: Considering the current glucose-lowering treatment options, our results found no significant dose-dependent variability of HbA1c, with consequent limited potential for precision medicine in the treatment of type 2 diabetes.

Table 1 Description of included trial arms separated by placebo and verum arms

 

 

Placebo (N=44 arms)

 

Verum (N=101 arms)

Variable

 

Number of missing arms

Median
(Min/Q1/Q3/Max)

 

Number of missing arms

Median
(Min/Q1/Q3/Max) or
Number (%)

Mean age at baseline (in years)

 

1

55.6
(52.0/54.3/58.6/63.2)

 

4

56.0
(50.6/54.6/58.5/63.2)

Proportion of male participants at baseline (in %)

 

1

54.0
(0.5/50.0/58.9/76.7)

 

4

55.9
(0.4/49.1/60.2/76.9)

Mean BMI at baseline (in kg/m2)

 

1

31.0
(24.9/28.7/32.7/34.7)

 

4

31.1
(24.4/29.2/32.3/35.0)

Mean known disease duration at baseline (in years)

 

10

6.6
(1.1/4.6/9.4/14.8)

 

22

6.6
(1.0/4.3/9.3/16.2)

Mean HbA1c at baseline (in %)

 

0

8.2
(7.1/8.0/8.7/10.4)

 

0

8.1
(7.1/8.0/8.7/10.3)

Year

 

0

2013.5
(1998/2007/2016.5/2019)

 

0

2013
(1998/2006/2017/2019)

Duration of treatment (in weeks)

 

0

26
(16/24/28/206)

 

0

26
(16/24/26/206)

Treatment (drug class)

 

 

 

 

 

 

  Alpha-glucosidase inhibitors

 

--

--

 

0

4 (4)

  DPP-4 inhibitors

 

--

--

 

0

10 (10)

  GLP-1 receptor agonists

 

--

--

 

0

29 (29)

  Metformin

 

--

--

 

0

6 (6)

  SGLT-2 inhibitors

 

--

--

 

0

30 (30)

  Thiazolidinediones

 

--

--

 

0

22 (22)

Number of treated individuals

 

0

110.5
(11/70/139/2266)

 

0

123
(11/80/163/2279)

Log(SD) of HbA1c values after treatment (in %)

 

0

0.11
(-0.98/-0.12/0.35/1.03)

 

0

0.02
(-0.82/-0.22/0.24/0.99)


Figure 1: Line plot for the trajectories of raw Log(SD) values of HbA1c against percentage dose (0% = placebo arm, 100% = verum arm with maximal dose). Each grey line stands for the Log(SD) trajectory of a single trial. The red line gives the fitted line from the primary weighted meta-regression model with its 95% confidence interval. Estimates (with 95% confidence intervals) for the observed (unadjusted and unweighted) mean Log(SD) values at 0%, 50%, 100% dose are given in blue.