可持续发展专题

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Intravenous immunoglobulin for treatment of hospitalized COVID-19 patients: an evidence mapping and meta-analysis
Background: The clinical efficacy and safety of intravenous immunoglobulin (IVIg) treatment for COVID-19 remain controversial. This study aimed to map the current status and gaps of available evidence, and conduct a meta-analysis to further investigate the benefit of IVIg in COVID-19 patients. Methods: Electronic databases were searched for systematic reviews/meta-analyses (SR/MAs), primary studies with control groups, reporting on the use of IVIg in patients with COVID-19. A random-effects meta-analysis with subgroup analyses regarding study design and patient disease severity was performed. Our outcomes of interest determined by the evidence mapping, were mortality, length of hospitalization (days), length of intensive care unit (ICU) stay (days), number of patients requiring mechanical ventilation, and adverse events. Results: We included 34 studies (12 SR/MAs, 8 prospective and 14 retrospective studies). A total of 5571 hospitalized patients were involved in 22 primary studies. Random-effects meta-analyses of very low to moderate evidence showed that there was little or no difference between IVIg and standard care or placebo in reducing mortality (relative risk [RR] 0.91; 95% CI 0.78-1.06; risk difference [RD] 3.3% fewer), length of hospital (mean difference [MD] 0.37; 95% CI - 2.56, 3.31) and ICU (MD 0.36; 95% CI - 0.81, 1.53) stays, mechanical ventilation use (RR 0.92; 95% CI 0.68-1.24; RD 2.8% fewer), and adverse events (RR 0.98; 95% CI 0.84-1.14; RD 0.5% fewer) of patients with COVID-19. Sensitivity analysis using a fixed-effects model indicated that IVIg may reduce mortality (RR 0.76; 95% CI 0.60-0.97), and increase length of hospital stay (MD 0.68; 95% CI 0.09-1.28). Conclusion: Very low to moderate certainty of evidence indicated IVIg may not improve the clinical outcomes of hospitalized patients with COVID-19. Given the discrepancy between the random- and fixed-effects model results, further large-scale and well-designed RCTs are warranted
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Non-pharmacological interventions for older adults with depressive symptoms: a network meta-analysis of 35 randomized controlled trials
Objective: To assess the effectiveness of non-pharmacological interventions for seniors with depressive symptoms. Methods: A comprehensive literature search was performed. We conducted network meta-analysis in two ways, intervention classes (psychosocial, psychotherapy, physical activity, combined, treatment as usual) and individual intervention (11 categories). Whenever included studies used different scales, the different instruments were converted to the units of the scale most frequently used (the Geriatric Depression Scale), such that the effect size was reported as a mean difference (MD) with 95% confidence interval (CI). The risk of bias of RCTs included in this review was assessed according to the Cochrane Handbook. Bayesian NMA was conducted using R-3.4.0 software. Results: A total of 35 RCTs with 3,797 enrolled patients were included. Compared to conventional treatment, physical activity and psychotherapy resulted in significant improvements in depressive symptoms (MD: 2.25, 95%CrI: 0.99-3.56; SUCRA = 86.07%; MD: 1.75, 95% CrI: 0.90-2.64; SUCRA = 66.44%, respectively). Similar results were obtained for music (MD: 2.6; 95% CrI: 0.84-4.35;SUCRA = 80.53%), life review (MD:1.92; 95% CrI:0.71-3.14; SUCRA = 65.62%), cognitive behavioral therapy (MD: 1.27; 95% CrI: 0.23-2.38; SUCRA = 45.4%), aerobic (MD: 1.84; 95% CrI: 0.39-3.36; SUCRA = 63%) and resistance training (MD: 1.72; 95% CrI: 0.06-3.42; SUCRA = 59.24%). Network meta-regression showed that there were no statistically significant subgroup effects. Conclusions: Physical activity and psychotherapy demonstrated statistically significant superiority over conventional treatment. Music and life review therapy proved the most promising individual interventions. However, conclusions are limited by the lack of sufficient sample size and consensus regarding intervention categories and so an adequately powered study is necessary to consolidate these findings.
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