[Abstract]The number of lung transplantation is gradually increasing worldwide, which brings new challenges to the multi-disciplinary team of lung transplantation. The prognosis of lung transplant recipients is seriously affected by the pathophysiological state of specific lung diseases and perioperative risk factors. It is of great significance for these patients to optimize perioperative management according to these factors. Recently, several expert consensus have been published regarding anesthesia management of lung transplantation. Based on the current evidence and clinical practice of West China Hospital, this review summarizes the key points of anesthesia management for lung transplant recipients to guide anesthesiologists' clinical practice.
Objective To survey and analyze the quality assessment of the included studies in the Overviews of reviews (Overviews), so as to provide methodology references for Overviews authors. Methods A computerized search was performed for collecting Overviews in The Cochrane Library (Issue 1, 2010), PubMed, EMBASE, and CBM, and the search time ended by December, 2009. Then the relevant data, such as assessment standard etc, were extracted, and the staple standards were analyzed. Results A total of 43 typical Overviews were included. Thirty-two (74.4%) of them assessed the methodology quality of the included systematic reviews with different standards, including OQAQ (34.9%/15), AMSTAR (9.1%/3), Checklist from DARE (4.6%/2), Assendelft scale (4.6%/2), Effective Public Health Practice Project standards (2.3%/1), self-formulated standards (14.0%/ 6), syntaxic standards (2.3%/1), and other standards (4.6%/2). Ten Overviews (23.6%) assessed the quality of evidence, including eight (18.6%) applied the GRADE system. Only 7 studies (16.3%) assessed the quality of evidence and applied the GRADE system as well. Conclusion The quality assessment in Overviews includes the assessment of both methodological quality and evidence quality. But most Overviews do not assess comprehensively. The methodological quality standards applied in current Overviews are numerous and no standard is acknowledged. Yet, the OQAQ and AMSTAR are applied widely and recommended because they are comprehensive and easy to be conducted. It suggests that Overviews authors should choose appropriate methodological quality assessment standards according to concrete conditions. The GRADE system is much more comprehensive and systematic than other systems, so it is recommended that Overviews authors should apply GRADE to assess the quality of evidence in their studies in order to make the study results more comprehensive and easier for clinical application.
Brain-computer interface (BCI) systems based on steady-state visual evoked potential (SSVEP) have become one of the major paradigms in BCI research due to their high signal-to-noise ratio and short training time required by users. Fast and accurate decoding of SSVEP features is a crucial step in SSVEP-BCI research. However, the current researches lack a systematic overview of SSVEP decoding algorithms and analyses of the connections and differences between them, so it is difficult for researchers to choose the optimum algorithm under different situations. To address this problem, this paper focuses on the progress of SSVEP decoding algorithms in recent years and divides them into two categories—trained and non-trained—based on whether training data are needed. This paper also explains the fundamental theories and application scopes of decoding algorithms such as canonical correlation analysis (CCA), task-related component analysis (TRCA) and the extended algorithms, concludes the commonly used strategies for processing decoding algorithms, and discusses the challenges and opportunities in this field in the end.
目的 探讨抗核抗体（ANA）在IgA肾病中的阳性率及其对临床的意义。 方法 回顾性分析2007年1月－2009年12月间进行ANA检测的115例IgA肾病患者及59例非IgA肾病慢性肾炎患者的临床资料。统计分析ANA阳性与阴性的临床指标。 结果 IgA肾病患者中有12例（10.4%）存在ANA阳性，与非IgA肾病慢性肾炎中的阳性率比较差异无统计学意义（P＞0.05），ANA阳性的IgA肾病血浆IgG水平较高，病理改变较轻。 结论 IgA肾病ANA阳性的机体免疫有增强，肾功、尿蛋白及病理损害较轻，其对IgA肾病预后的影响仍需进一步研究。