14
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Effect of sivelestat sodium in patients with acute lung injury or acute respiratory distress syndrome: a meta-analysis of randomized controlled trials

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Sivelestat is widely used in treating acute lung injury (ALI)/acute respiratory distress syndrome (ARDS), although the clinical efficacy of sivelestat remains controversial. This study aimed to evaluate the impact of sivelestat in patients with ALI/ARDS.

          Methods

          Electronic databases, PubMed, Embase, and the Cochrane Library, were searched to identify trials through April 2017. Randomized controlled trials (RCTs) were included irrespective of blinding or language that compared patients with and without sivelestat therapy in ALI/ARDS. A random-effects model was used to process the data, and the relative risk (RR) and standard mean difference (SMD) with corresponding 95% confidence intervals (CIs) were used to evaluate the effect of sivelestat.

          Results

          Six RCTs reporting data on 804 patients with ALI/ARDS were included. Overall, no significant difference was found between sivelestat and control for the risk of 28–30 days mortality (RR: 0.94; 95% CI: 0.71–1.23; P = 0.718). Sivelestat therapy had no significant effect on ventilation days (SMD: 0.05; 95% CI: −0.27 to 0.38; P = 0.748), arterial oxygen partial pressure (PaO2)/fractional inspired oxygen (FiO2) level (SMD: 0.48; 95% CI: −0.45 to 1.41; P = 0.315), and intensive care unit (ICU) stays (SMD: −9.87; 95% CI: −24.30 to 4.56; P = 0.180). The results of sensitivity analysis indicated that sivelestat therapy might affect the PaO 2/FiO 2 level in patients with ALI/ARDS (SMD: 0.87; 95% CI: 0.39 to 1.35; P < 0.001).

          Conclusions

          Sivelestat therapy might increase the PaO 2/FiO 2 level, while it had little or no effect on 28–30 days mortality, ventilation days, and ICU stays. These findings need to be verified in large-scale trials.

          Electronic supplementary material

          The online version of this article (10.1186/s12890-017-0498-z) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references24

          • Record: found
          • Abstract: not found
          • Article: not found

          A Nonparametric “Trim and Fill” Method of Accounting for Publication Bias in Meta-Analysis

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The interpretation of random-effects meta-analysis in decision models.

            This article shows that the interpretation of the random-effects models used in meta-analysis to summarize heterogeneous treatment effects can have a marked effect on the results from decision models. Sources of variation in meta-analysis include the following: random variation in outcome definition (amounting to a form of measurement error), variation between the patient groups in different trials, variation between protocols, and variation in the way a given protocol is implemented. Each of these alternatives leads to a different model for how the heterogeneity in the effect sizes previously observed might relate to the effect size(s) in a future implementation. Furthermore, these alternative models require different computations and, when the net benefits are nonlinear in the efficacy parameters, result in different expected net benefits. The authors' analysis suggests that the mean treatment effect from a random-effects meta-analysis will only seldom be an appropriate representation of the efficacy expected in a future implementation. Instead, modelers should consider either the predictive distribution of a future treatment effect, or they should assume that the future implementation will result in a distribution of treatment effects. A worked example, in a probabilistic, Bayesian posterior framework, is used to illustrate the alternative computations and to show how parameter uncertainty can be combined with variation between individuals and heterogeneity in meta-analysis.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Assessing the influence of a single study in meta-analysis

                Bookmark

                Author and article information

                Contributors
                274201689@qq.com
                +86-18685227587 , wanwhnj@sina.com , wangdaoxin163@163.com
                ldsdoc@126.com
                514342948@qq.com
                qidi0126@126.com
                251383031@qq.com
                31343639@qq.com
                Journal
                BMC Pulm Med
                BMC Pulm Med
                BMC Pulmonary Medicine
                BioMed Central (London )
                1471-2466
                21 November 2017
                21 November 2017
                2017
                : 17
                : 148
                Affiliations
                [1 ]GRID grid.412461.4, Department of Respiratory Medicine, , Second Affiliated Hospital of Chongqing Medical University, ; Chongqing, 400010 China
                [2 ]GRID grid.452884.7, Department of Respiratory and Critical Care Medicine, , The First People’s Hospital of Zunyi, ; Zunyi, China
                Article
                498
                10.1186/s12890-017-0498-z
                5699178
                29162066
                f76c209b-058d-4540-b419-2c0c2318dd87
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 17 May 2017
                : 14 November 2017
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Respiratory medicine
                sivelestat sodium,patients,acute lung injury,acute respiratory distress syndrome

                Comments

                Comment on this article