BackgroundVentilator-associated pneumonia (VAP) is defined as the occurrence of pneumonia in patients receiving mechanical ventilation for more than 48 h after endotracheal intubation. The implementation of effective oral care with antiseptics may reduce the incidence of ventilator-associated pneumonia. However, previous studies have been unclear about the best antiseptic for this purpose. Therefore, present protocol proposed to perform a network meta-analysis to evaluate the efficacy of different antiseptics to prevent ventilator-associated pneumonia.Methods/designWe will search CNKI, WanFang database, PubMed, Web of Science, Cochrane Library, EMBASE, SinoMed from their inception to March 2016. There are no restrictions on language, publication year, or publication type. Only randomized clinical trials (RCTs) with antiseptics to prevent ventilator-associated pneumonia will be considered. Study selection and data collection will be independently performed by two reviewers. Risk of bias assessments will be completed using the Cochrane risk of bias scale. The primary outcome is VAP morbidity. A network meta-analysis will be conducted to compare the effect of four different antiseptics on patient-relevant efficacy. Subgroup analyses will be performed by the type of setting and length of mechanical ventilation, and sensitivity analyses will be conducted to assess the robustness of the findings.DiscussionOral care to prevent ventilator-associated pneumonia has been widely used. The efficacy of usual oral antiseptics have been assessed mainly using traditional meta-analysis. However, it was unclear which oral care solution is best used for oral care and there were no head-to-head RCT to compare the efficacy of four antiseptics. The proposed network meta-analysis will compare four antiseptics and rank the results using network meta-analysis to decide which was the best.Systematic review registrationPROSPERO CRD42016038088 Electronic supplementary materialThe online version of this article (doi:10.1186/s13643-017-0496-5) contains supplementary material, which is available to authorized users.
Background: Diabetic retinopathy (DR) is one of the serious complications of diabetes mellitus. Without further treatment, it can evolve into the stage of proliferation, which will lead to the formation of new blood vessels, vitreous hemorrhage, or anterior retinal hemorrhage, which will lead to severe vision loss and increase the risk of blindness. Methods: The research literature on the risk factors of diabetic retinopathy published as of July 1, 2020 was searched through MEDLINE, Embase, ovid, Web of Science, Wanfang, CNKI, and other databases, The search strategy has been first developed in MEDLINE using MeSH subject headings combined with free-text terms and Stata12.0 software was used for meta-analysis. Results: This study is ongoing and the results will be submitted to a peer-reviewed journal for publication. Ethics and dissemination: Ethical approval is not applicable, since this is an overview based on published articles. Protocol registration number: The registration number is INPLASY202070107, the DOI number is 10.37766/inplasy2020.7.0107.
BackgroundMeta-analysis is often regarded as one of the best sources of evidence for clinical nurses due to its rigorous design and scientific reflection of the true results of nursing interventions. The quality of a meta-analysis is critical to the work of clinical decision-makers. Therefore, the objective of this study was to use the JBI guidelines to summarize the quality of RCT-based meta-analyses of reports published in domestic nursing professional journals, with a view to standardizing the research process and reporting methods.MethodsWe performed a comprehensive literature search for RCT-based meta-analyses published in Chinese professional nursing journals, from their inception to December 31, 2015, using bibliographic databases (e.g. CNKI, WanFang Database). March 1, 2017, supplementary search 2016 literature. Candidate reviews were assessed for inclusion by two independent reviewers using pre-specified eligibility criteria. We evaluated the quality of reporting of the included meta-analyses using the systematic review literature reporting specification of JBI. Analyses were performed using Excel and STATA 12.0 software.ResultsThree hundred and twenty-two meta-analyses were included. According to the JBI guidelines, the overall quality of the meta-analysis report was poor. The quality of core journal reports and the implementation of retrieval were better than those of non-core journals. The nature of the authors and the availability of funding support had no significant impact on the quality of the meta-analyses. Multi-unit and multi-author collaboration can help improve the quality of meta-analyses with significant impact.ConclusionThe understanding and implementation of systematic evaluation and meta-analyses in domestic nursing professional journals is worthy of recognition, and there is more work that can be done to improve the quality of these reports. Systematic review / Meta-analysis (SR / MA) makers should include the findings of this study. Multi-institutional and multi-author collaborations appear to improve research capacity and provide more reliable evidence support for clinicians.
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