Objective To explore the research hotspots and latest progress of lung transplantation nursing at home and abroad, and to provide reference ideas and directions for the future related research. Methods Through the collection of CNKI and Web of Science core database, the related literature of lung transplantation nursing from inception to December 2023 was retrieved and CiteSpace software was used to focus on keyword co-occurrence, clustering and emergence. Results A total of 352 Chinese literature and 126 English literature were included in this study, and the number of papers published at home and abroad showed an overall upward trend. There were 34 core authors of Chinese literature and 83 core authors of English literature. The core authors led the team to promote research and promote cooperation at home and abroad. At present, the cooperation among research teams needed to be strengthened. Chinese literature keywords included nursing, lung transplantation, extracorporeal membrane oxygenation, lung rehabilitation, lung transplantation surgery, complications. English literature keywords included lung transplanation, quality of life, international society, disease, bone marrow transplantation. There were 15 clusters and 25 emergent keywords in the CNKI database, and 12 clusters and 25 emergent keywords in the Web of Science core database. ConclusionThe study of lung transplantation nursing at home and abroad has been paid more and more attention, and the research is getting more and more sophisticated. The future study can realize the holistic care of patients during perioperative period on the basis of clinical diagnosis and nursing technology, and improve the survival of patients after operation.
Incidence rate is a common effect measure. The incidence rate ratio refers to the ratio of two different incidence rates. It is used to compare the difference in the number of cases per unit person-time between two groups. RevMan software can not perform a meta-analysis with the incidence rate ratio as the effect size at present. A set of simulation data was used to demonstrate a meta-analysis process with the incidence rate ratio as the effect size by using the meta package of R Studio software in this article.
The "bnma" package is a Bayesian network meta-analysis software package developed based on the R programming language. The network meta-analysis was performed utilizing JAGS software, which yielded relevant results and visual graphs. Moreover, this software package provides support for various data structures and types, while also providing the advantages of flexible utilization, user-friendly operation, and deliver of rich and accurate outcomes. In this paper, using a network meta-analysis example of different therapies for androgenetic alopecia, the operational process of conducting network meta-analysis using the "bnma" package is briefly introduced.
This paper adopted UG8.0 to bulid the stent and blood vessel models. The models were then imported into the finite element analysis software ANSYS. The simulation results of ANSYS software showed that after endothelial stent implantation, the velocity of the blood was slow and the fluctuation of velocity was small, which meant the flow was relatively stable. When blood flowed through the endothelial stent, the pressure gradually became smaller, and the range of the pressure was not wide. The endothelial shear stress basically unchanged. In general, it can be concluded that the endothelial stents have little impact on the flow of blood and can fully realize its function.
Etiological and prognostic studies always directly reported effect size with its 95% confidence interval, hence, data transformation was needed when performing meta-analysis based on these studies. Using the data of risk ratio, hazard ratio, odds ratio and 95% confidence interval as an example, this paper introduces the process of using RevMan 5.3 software to convert data and perform meta-analysis.
Dose-response meta-analysis is being increasingly applied in evidence production and clinical decision. The research method, synthesizing certain dose-specific effects across studies with the same target question by a certain types of weighting schedule to get a mean dose-response effect, is to reflect the dose-response relationship between certain exposure and outcome. Currently, the most popular method for dose-response meta-analysis is based on the classical "two-stage approach", with the advantage that it allows fixed- or random-effect model, according to the amount of heterogeneity in the model. There are two types of random-effect model available for dose-response meta-analysis, that is, the generally model and the coefficient-correlation-adjusted model. In this article, we briefly introduce two models and illustrate how they are applied in Stata software, which is expected to provide theoretical foundation for evidence-based practice.
ObjectiveTo investigate the short-term effectiveness of novel computer navigation system (Knee 3 software; Brainlab, Germany) assisted total knee arthroplasty (TKA).MethodsBetween July 2020 and December 2020, 19 patients underwent unilateral TKA assisted with Knee 3 software. There were 4 males and 15 females. The mean age was 66.3 years (range, 52-79 years). Eighteen patients were diagnosed with osteoarthritis and 1 patient with rheumatoid arthritis. Sixteen patients had varus knees and 3 patients had valgus knees. Preoperative Western Ontario and McMaster University Osteoarthritis Index (WOMAC) pain, stiffness, function, and total scores were 12.4±3.4, 2 (1, 4), 22 (18, 29), and 37 (29, 43), respectively. Intraoperatively, the medial and lateral gaps in knee extension and in 90° of knee flexion were recorded. The operation time, intraoperative blood loss, blood transfusion, and complications were recorded. The hip-knee-ankle angle (HKA), lateral distal femoral angle, and medial proximal tibial angle were measured to evaluate lower limb alignment and prostheses’s alignment using X-ray films at 6 weeks after operation. Patient’s satisfaction rate and WOMAC pain, stiffness, function, and total scores were investigated.ResultsEighteen patients (94.7%) had medial- lateral gap balancing in knee extension, 18 patients (94.7%) had medial-lateral gap balancing in 90° of knee flexion, 19 patients (100%) had medial gap balancing between knee extension and 90° of knee flexion, and 18 patients (94.7%) had lateral gap balancing between knee extension and 90° of knee flexion. The mean operation time was 126 minutes (range, 100-200 minutes). The mean intraoperative blood loss was 205 mL (range, 100-400 mL). Patients were followed up 4-8 months, with an average of 6.2 months. Postoperative complications included 1 deep vein thrombosis of lower extremities and 1 cerebral infarction. X-ray films showed that the mean HKA, lateral distal femoral angle, and medial proximal tibial angle were 179.8° (range, 178°-182°), 83.5° (range, 80°-87°), and 89.5° (range, 87°-93°), respectively. At last follow-up, WOMAC pain, stiffness, function, and total scores were 3.6±1.9, 0 (0, 2), 4 (2, 6), and 9 (5, 10), respectively, which improved when compared with preoperative scores (P<0.05). Twelve patients were very satisfied with the operation results and 7 patients were satisfied with the operation results. The overall satisfaction rate was 100%.ConclusionKnee 3 software can help to obtain good gap balancing and optimal lower limb alignment, with high patient’s satisfaction and good short-term effecectiveness.
ObjectiveTo introduce the method of meta-analysis for effect combination of regression coefficient conducted with the metafor package in R software. MethodsBy using the data of a published meta-analysis as an example, the detailed process of meta-analysis for regression coefficient was presented with metafor package in R. ResultsThe results of meta-analysis conducted with metaphor package in R were the same as the published literature. ConclusionAs a completely free open source software for statistical analysis, R can conduct meta-analysis for effect combination of regression coefficient flexibly and precisely, and should be expanded in the future meta-analysis.
The WinBUGS software can be called from either R (provided R2WinBUGS as an R package) or Stata software for network meta-analysis. Unlike R, Stata software needs to create relevant ADO scripts at first which simplify operation process greatly. Similar with R, Stata software also needs to load another package when drawing network plots. This article briefly introduces how to implement network meta-analysis using Stata software by calling WinBUGS software.
In evidence-based practice and decision, dose-response meta-analysis has been concerned by many scholars. It can provide unique dose-response relationship between exposure and disease, with a high grade of evidence among observational-study based meta-analysis. Thus, it is important to clearly understand this type of meta-analysis on software implementations. Currently, there are different software for dose-response meta-analysis with various characteristics. In this paper, we will focus on how to conduct dose-response meta-analysis by Stata, R and SAS software, which including a brief introduction, the process of calculation, the graph drawing, the generalization, and some examples of the processes.