Hi,
We conducted a meta-analysis to find if hyperglycaemia is associated with increased risk of mortality. We included 12 studies that had given adjusted odds ratios and pooled them together. The pooled odds ratio was 2.416 (95% CI:1.364; 4.279). Heterogeneity was high (I2=60%).
We explored heterogeneity by conducting a meta regression wherein the covariate was the cut-off value of blood glucose that was used to define hyperglycaemia in individual studies. Two studies had used blood glucose threshold of 6.6 mmol/L, three studies used 8.3, four studies used 10, one used 11.1, one used 12 and one used 16.6 mol/L.
The meta-regression output was as below. I would be grateful for help with interpretation of this output.

meta regress hyperglycemia_definition

Effect-size label: Effect Size
Effect size: mortality_log_or_adj
Std. Err.: mortality_se_adj

Random-effects meta-regression Number of obs = 12
Method: REML Residual heterogeneity:
tau2 = .6156
I2 (%) = 62.48
H2 = 2.67
R-squared (%) = 0.00
Wald chi2(1) = 0.19
Prob > chi2 = 0.6661
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_meta_es | Coef. Std. Err. z P>|z| [95% Conf. Interval]
------------------------+----------------------------------------------------------------
hperglycemia_definition | .0543421 .1259339 0.43 0.666 -.1924838 .301168
_cons | .3701254 1.22663 0.30 0.763 -2.034024 2.774275
-----------------------------------------------------------------------------------------
Test of residual homogeneity: Q_res = chi2(10) = 23.66 Prob > Q_res = 0.0085

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