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Background: During the COVID-19 period, there was a huge gap in the understanding of masks between east and west. At the same time, the mechanism of the mask and the effect after use, also appeared differences. The Objective of this Meta-analysis is to systematically evaluate the efficacy of masks for influenza in the community. Methods: The Web of Science, PubMed, The Cochrane Library, EMBASE and Clinical Trials will be electronically searched to collect randomized controlled trials regarding the efficacy of masks for influenza in the community through Apr 2020. Two researchers independently screened and evaluated the obtained studies and extracted the outcome indexes. Revman 5.3 software will be used for the meta-analysis. Results: The outbreak is continuing, and we need to be prepared for a long fight. If masks are effective, we need to promote their use as soon as possible. If masks are ineffective, strong evidence should be given. This is an urgent task and our team will finish it as soon as possible. Conclusion: Provide stronger evidence to solve the problem, should we wear masks or not right now.

Background The goals of improving quality of life and increasing longevity are receiving growing amounts of attention. Body weight and lipid metabolism are closely related to various complications of diabetes. The aim of this study was to rank SGLT inhibitors according to their efficacy with regard to weight and evaluate the effect of SGLT inhibitors on lipid metabolism at 24 weeks of treatment. Methods The Web of Science, PubMed, Cochrane Library, Embase, and Clinical Trials databases were electronically searched to collect randomized controlled trials involving patients with type 2 diabetes mellitus through June 2020. Two researchers independently screened and evaluated the selected studies and extracted the outcome indexes. ADDIS 1.16.5 and STATA 16 software were used to perform the network meta-analysis and draw the plots. Results Ultimately, 36 studies were selected and included in this study. We found that all SGLT inhibitors were effective at reducing weight; canagliflozin was the most effective. SGLT inhibitors and placebo were not associated with significantly different serum cholesterol levels. SGLT inhibitors lowered serum triglyceride levels and increased serum high-density and low-density lipoprotein cholesterol levels. SGLT inhibitors also reduced the level of alanine aminotransferase. Conclusions SGLT inhibitors can bring about weight loss in patients with T2DM and can also improve lipid metabolism. Therefore, patients with hyperlipidemia who have been unsuccessful at losing weight should consider taking SGLT inhibitors. In addition, SGLT inhibitors are hepatoprotective and appear to be safe for patients with mild to moderate liver dysfunction. Trial registration CRD42020198516.

BACKGROUND To evaluate dapagliflozin, canagliflozin, empagliflozin, ertugliflozin, and sotagliflozin according to their effect on the glycated hemoglobin A1c (HbA1c) level in patients with type 2 diabetes mellitus. METHODS The Web of Science, PubMed, Cochrane Library, EMBASE, and Clinical Trials databases were electronically searched to collect randomized controlled trials of patients with type 2 diabetes mellitus through June 2020. Two researchers independently screened and evaluated the obtained studies and extracted the outcome indexes. RevMan 5.3 software was used to perform the meta-analysis and to create plots. RESULTS Finally, 27 studies were selected and included in this study. The meta-analysis results showed that sodium-dependent glucose transporter (SGLT) inhibitors significantly reduced the HbA1c level in patients with type 2 diabetes mellitus. However, these results were highly heterogeneous, so we conducted a subgroup analysis. The results of the subgroup analysis suggested that by dividing populations into different subgroups, the heterogeneity of each group could be reduced. CONCLUSIONS SGLT inhibitors had a good effect on the HbA1c level in patients with type 2 diabetes mellitus, but there might be differences in the efficacy of SGLT inhibitors in different populations. It is hoped that more studies will be conducted to evaluate the efficacy and safety of SGLT inhibitors in different populations. REGISTRATION NUMBER CRD42020185025.

Background: During the COVID-19 period, there was a huge gap in the understanding of masks between east and west. At the same time, the mechanism of the mask and the effect after use, also appeared differences. The Objective of this Meta-analysis is to systematically evaluate the efficacy of masks for influenza in the community. Methods: The Web of Science, PubMed, The Cochrane Library, EMBASE and Clinical Trials will be electronically searched to collect randomized controlled trials regarding the efficacy of masks for influenza in the community through Apr 2020. Two researchers independently screened and evaluated the obtained studies and extracted the outcome indexes. Revman 5.3 software will be used for the meta-analysis. Results: The outbreak is continuing, and we need to be prepared for a long fight. If masks are effective, we need to promote their use as soon as possible. If masks are ineffective, strong evidence should be given. This is an urgent task and our team will finish it as soon as possible. Conclusion: Provide stronger evidence to solve the problem, should we wear masks or not right now.