Vindingstout1450

Background Previous clinical studies have reported that clinical value of high-frequency ultrasound combined computed tomography (HFUCT) is used for diagnosis of thyroid tumor (TT). However, no study has investigated this topic systematically. Therefore, this study will evaluate the clinical value of HFUCT for the diagnosis of TT. Methods We will search the databases of Cochrane Library, EMBASE, PUBMED, SCOPUS, Web of Science, OpenGrey, Cumulative Index to Nursing and Allied Health Literature, Allied and Complementary Medicine Database, and China National Knowledge Infrastructure from any time period published to the present. We will consider all case-controlled studies that assessed the clinical value of HFUCT for diagnosis of TT. Two authors will independently scan titles and abstracts to check eligible studies, followed by full-text read. We will extract data and assess study quality using Quality Assessment of Diagnostic Accuracy Studies tool. RevMan 5.3 software will be utilized for data pooling and statistical analysis. Results This study will be performed to assess the clinical value of HFUCT for the diagnosis of TT, and will provide an evidence-based synthesis for clinical application and further study. Conclusion Summary of this study will provide the latest evidence to determine whether HFUCT can be used for TT diagnosis accurately. Study registration INPLASY202040022.Background The objective of this study is to examine the association between serum lipoprotein levels (SLL) and cognitive impairment (CI) in patients with acute cerebral infarction (ACI). Methods All published studies will be searched from the following electronic databases PubMed, EMBASE, Cochrane Library, PsycINFO, Web of Science, WANGFANG, and China National Knowledge Infrastructure from inauguration of each electronic database up to March 1, 2020. In addition, we will also search other sources, such as dissertations, Google scholar, conference proceedings, and reference lists of relevant reviews. We will not apply any language restrictions to the electronic databases. Two researchers will independently carry out literature selection, data collection, and methodological quality. A third researcher will help to solve any divergences by discussion. The RevMan 5.3 software will be employed to pool the collected data and to analyze the outcome data. Results This study will scrutinize the association between SLL and CI in patients with ACI. Conclusions The results of this study will present helpful evidence of the association between SLL and CI in patients with ACI.Registration number INPLASY202040018.Background Although many studies have reported the effects of dexmedetomidine on cognitive function (CF) in elderly patients after laparoscopic cholecystectomy (LCT), to this date, its effects are still not well understood. The aim of this study is to produce a qualitative synthesis of assessing the effects of dexmedetomidine on CF in elderly patients after LCT. Methods We will conduct a comprehensive search in Cochrane Library, MEDLINE, EMBASE, CINAHL, PsycINFO, Scopus, VIP Database, WANGFANG Database, Chinese Biomedical Literature Database, and China National Knowledge Infrastructure from the commencement to March 31, 2020 without restrictions of language and publication status. In addition, we will also search grey literature, including conference abstracts, dissertations, reference lists of included studies and relevant reviews. All potential studies will be identified independently by 2 authors to determine their inclusion against previously defined eligibility criteria. The quality of selected papers will be assessed using Cochrane risk of bias tool. All statistical analysis will be performed using RevMan 5.3 software. Results This study will provide a synthesis of the current available data on assessing the effects of dexmedetomidine on CF in elderly patients after LCT. Conclusions Its findings will provide qualitative evidence to better understand the effects of dexmedetomidine on CF in elderly patients after LCT.INPLASY Registration Number INPLASY202040030.Background Traditional coronary angiography (CA) as a main technique has been used to determine the coronary artery anatomy and guide percutaneous coronary intervention (PCI). We mainly focused on whether the new techniques could improve the patients' mortality, major adverse cardiovascular events (MACEs), and myocardial infarction. Methods For the network meta-analysis, we searched the trials of different PCI guidances from MEDLINE, Current Contents Connect, Google Scholar, EMBASE, Cochrane Library, PubMed, Science Direct, and Web of Science. The last search date was December 10, 2018. Results The analyses of all results found that there was no significant difference in mortality among the groups. Randomized clinical trials (RCT) analysis showed that intravascular ultrasound (IVUS)-guided PCI was significantly superior to CA, fractional flow reserve, instantaneous wave-free ratio, optical coherence tomography. However, CA, fractional flow reserve, instantaneous wave-free ratio, and optical coherence tomography showed no difference in reducing mortality. The analyses of all results found that there was no significant difference in the incidence of MACEs among the groups. SM-102 RCTs analysis showed that IVUS-guided PCI was significantly superior to CA, but there was no significant difference among the other groups. The analyses of all results or RCTs showed that there was no significant difference in myocardial infarction incidence among the groups. Conclusion IVUS-guided PCI is an effective method to decrease all-cause death MACEs.The purpose of this study is to analyze the risk factors of sporadic renal hamartoma and establish a risk scoring system, and to intervene in patients with high-risk sporadic renal hamartoma who are prone to rupture and bleeding as soon as possible.Retrospective univariate and multivariate logistic analyzes were conducted for clinical data of 332 sporadic renal hamartoma patients to screen out independent risk factors of tumor rupture. Score of each independent risk factor was calculated. (Calculation formula the risk coefficient of each factor = the beta regression coefficient of each factor/the minimum value of the beta regression coefficient of all factors, the value of the smallest beta regression coefficient corresponding to all the factors was assigned 1 point. The score of each factor was equal to the risk coefficient of each variable was taken as an integer value by rounding.) The total score was equal to the sum of all factors. Then the area under the receiver operating characteristics (AUC) curve was compared between high risk factors and scoring system.