Author: Furong Zeng; Ying Guo; Mingzhu Yin; Xiang Chen; Guangtong Deng
Title: Association of inflammatory markers with the severity of COVID-19 Document date: 2020_4_17
ID: mn3b6nrs_12
Snippet: All the statistical analyses were carried out by STATA (Version 12.0; STATA Corporation, College Station, TX, USA) software. Statistical heterogeneity was assessed with I 2 and P-value. A fixed effects model was adopted without significant heterogeneity (I 2 ≤ 50% and P ≥ 0.1), while a random effects model was employed in all other instances (I 2 > 50% or P < 0.1) (Zeng et al., 2019 , Zeng et al., 2020 . Weighted mean difference (WMD) with 95.....
Document: All the statistical analyses were carried out by STATA (Version 12.0; STATA Corporation, College Station, TX, USA) software. Statistical heterogeneity was assessed with I 2 and P-value. A fixed effects model was adopted without significant heterogeneity (I 2 ≤ 50% and P ≥ 0.1), while a random effects model was employed in all other instances (I 2 > 50% or P < 0.1) (Zeng et al., 2019 , Zeng et al., 2020 . Weighted mean difference (WMD) with 95% confidence intervals (95% CI) was calculated for inflammatory markers. Sensitivity analysis was performed by omitting one study each time through influence analysis to assess the stability of results. Besides, standard mean difference (SMD) were used to explore the consistence of the conclusion. Publication bias was evaluated by Egger's test. If publication bias was conformed, the Duval's trim and fill method was implemented to adjust for this bias. P < 0.05 was considered statistically significant.
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