Baseline Characteristics of Included Patients. by Karl Ingard (22582091)

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Characteristics of the included studies. by Si He (3236646)

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Trial sequential analysis of primary outcomes after negative pressure wound therapy versus conventional wound care for sternal wound infection. by Si He (3236646)

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Trial sequential analysis of secondary outcomes after negative pressure wound therapy versus conventional wound care for sternal wound infection. by Si He (3236646)

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Subgroup Analysis of the Occurrence of Secondary Endpoints. by Karl Ingard (22582091)

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Pooled effect of the therapeutic effects of negative pressure wound therapy versus conventional wound care for sternal wound infection. by Si He (3236646)

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Forest plots of secondary outcomes after negative pressure wound therapy versus conventional wound care for sternal wound infection. by Si He (3236646)

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Study flow chart. by Karl Ingard (22582091)

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Extracted data and used for analysis. by Si He (3236646)

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Kaplan-Meier curve of the primary outcome. by Karl Ingard (22582091)

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Number of Patients Who Reached the Primary and Secondary Endpoints During Follow-up. by Karl Ingard (22582091)

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Excluded studies with reasons for exclusion. by Si He (3236646)

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Subgroup Analysis of the Occurrence of the Primary Endpoint and Its Components. by Karl Ingard (22582091)

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Flow diagram of the studies included in the meta-analysis. by Si He (3236646)

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Comparison of TNF- by Mahshid Vafajoo (21144147)

Each group’s performance on behavioral tests. by Wenbin Wu (292223)

Improvement effect of lactoferrin and Coenzyme Q10 on body composition of mice with sarcopenia. by Wenbin Wu (292223)

Univariate analyses. by Zachary E. M. Giovannini-Green (22008277)

“…Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”

Overview of individuals in the study. by Zachary E. M. Giovannini-Green (22008277)

“…Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”

Multivariate analyses. by Zachary E. M. Giovannini-Green (22008277)

“…Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. Multivariate analysis showed the mean monthly ED visits increased significantly during the first year of COVID-19 than before the pandemic (Mean = 0.30 vs Mean = 0.21, p = 0.01). …”