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. 2021 Dec 23;14(2):144–157. doi: 10.1111/1753-0407.13243

TABLE 2.

Summary effects and heterogeneity obtained from the meta‐analysis of the association of diabetes with clinical outcomes in hospitalized COVID‐19 patients

Outcome Summary effects
REDL Heterogeneity a Heterogeneity variance estimates
Effect measure OR (95% CI) Tests of overall effect Cochran's Q H I2 b P value tau≤ c
COVID‐19 severity OR 3.39 (2.14‐5.37) P < .0001, z = 5.206 40.21 2.11 (95% CI, 1.48‐2.71) 77.6% (95% CI, 54.2%‐86.4%) P < .0001 0.3706
ARDS OR 2.55 (1.74‐3.75) P < .0001, z = 4.772 11.05 1.49 (95% CI, 1.00‐2.42) 54.7% (95% CI, 0%‐79.9%) P = .05 0.1200
Mortality OR 2.44 (1.93‐3.09) P < .0001, z = 7.425 48.47 1.48 (95% CI, 1.111‐1.845) 54.6% (95% CI, 19%‐70.6%) P = .001 0.1586
Need for mechanical ventilation OR 3.03 (2.17‐4.22) P < .0001, z = 6.524 29.93 1.58 (95% CI, 1.06‐2.07) 59.9% (95% CI, 11.3%‐76.7%) P = .003 0.1974

Abbreviations: ARDS, acute respiratory distress syndrome; H, relative excess in Cochran's Q over its degrees of freedom; I2, proportion of total variation in effect estimate due to between‐study heterogeneity (based on Cochran Q); OR, odds ratio; Q, heterogeneity measures were calculated from the data with CI based on noncentral chi‐square (common effect) distribution for Cochran Q test; REDL, DerSimonian‐Laird random‐effects method.

a

Heterogeneity measures were calculated from the data with 95% CI based on gamma (random effects) distribution for Q.

b

Values of l2 are percentages.

c

Heterogeneity variance estimates (tau≤) were derived from REDL.