Evidence synthesis is the process of systematically gathering, analyzing, and integrating available research evidence. The quality of evidence synthesis depends on the quality of the original studies included. Validity assessment, also known as risk of bias assessment, is an essential method for assessing the quality of these original studies. Currently, there are numerous validity assessment tools available, but some of them lack a rigorous development process and evaluation. The application of inappropriate validity assessment tools to assessing the quality of the original studies during the evidence synthesis process may compromise the accuracy of study conclusions and mislead the clinical practice. To address this dilemma, the LATITUDES Network, a one-stop resource website for validity assessment tools, was established in September 2023, led by academics at the University of Bristol, U.K. This Network is dedicated to collecting, sorting and promoting validity assessment tools to improve the accuracy of original study validity assessments and increase the robustness and reliability of the results of evidence synthesis. This study introduces the background of the establishment of the LATITUDES Network, the included validity assessment tools, and the training resources for the use of validity assessment tools, in order to provide a reference for domestic scholars to learn more about the LATITUDES Network, to better use the appropriate validity assessment tools to conduct study quality assessments, and to provide references for the development of validity assessment tools.
ObjectiveTo systematically review the survival rate of different vascularized bone flaps in mandibular defect repair and reconstruction by Bayesian network meta-analysis. MethodsThe PubMed, EBSCO, Scopus, Web of Science, Cochrane Library, WanFang Data and CNKI databases were electronically searched to collect clinical studies related to the objectives from inception to February 2024. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies. The Bayesian network meta-analysis was carried out applying R software. ResultsA total of 24 studies involving 1 615 patients were included. The results of meta-analysis showed that the respective survival rates of fibula free flap (FFF), deep circumferential iliac artery flap (DCIA), scapula flap, and osteocutaneous radial forearm flap (ORFF) were 95.62%, 94.09%, 98.16%, and 93.75%. Moreover, the network meta-analysis failed to show a statistically significant difference between all comparators. Conclusion Current evidence shows that different vascularized bone flaps have similar survival rates in mandibular defect repair and reconstruction. Due to the limited quality and quantity of the included studies, more high quality studies are needed to verify the above conclusion.
Objective To systematically review the effect of different nutrient interventions on the physical function of elderly people with frailty through network meta-analysis. Methods The PubMed, Cochrane Library, EMbase and Web of Science were electronically searched to collect randomized controlled trials of different nutrient interventions on physical function of the elderly with frailty, from database inception to June 30, 2022. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias of the included studies. Network meta-analysis was then performed using ADDIS 1.16.8, GeMTC 14.3, and Stata 15.0 software. Results A total of 13 studies involving 1 144 patients were included. There was no statistically significant difference in handgrip strength, time up to go test, gait speed, and short physical performance battery (SPPB) among different nutrient interventions. Significant differences were not found in vitamin D+ whey protein (VDWP) vs. placebo and Leu vs. placebo in handgrip strength, or VDWP vs. placebo in SPPB. The probability ranking diagram showed that the most effective of handgrip strength, time up to go test, gait speed, and SPPB were milk protein concentrate (MPC80), L-carnitime (L-Car), leucine (Leu), and MPC80, respectively. Conclusion The current evidence suggests that nutritional intervention did not significantly improve physical function in the frail elderly. MPC80, Leu, L-Car, and VDVEWP may play a role in improving the physical function of frail elderly people. Nutritional support programs that increase the above nutrients, combined with exercise training may become a better way to improve the physical function of frail elderly.
Network plots can clearly present the relationships among the direct comparisons of various interventions in a network meta-analysis. Currently, there are some methods of drawing network plots. However, the information provided by a network plot and the interface-friendly degree to a user differ in the kinds of software. This article briefly introduces how to draw network plots using the network package and gemtc package that base on R Software, Stata software, and ADDIS software, and it also compares the similarities and differences among them.
OBJECTIVE: To study the stimulating effects of basic fibroblast growth factor(bFGF) on fibroblast function and its ability to expression of c-fos gene. Furthermore, to explore the possible network action between bFGF and oncogene in modulating wound healing. METHODS: Cultured rat fibroblasts were divided into bFGF stimulating group and control group. Fibroblasts in bFGF stimulating group were treated with bFGF in a dosage of 40 ng/culture hole, while the control fibroblasts were treated with the same vehicle without bFGF. The morphology, cell vitality and their ability to express c-fos gene in the fibroblasts in both groups were studied with MTT and immunohistochemical methods. RESULTS: All fibroblasts in bFGF treated groups were enlarged and showed increased vitality with MTT method. C-fos gene expression in bFGF stimulating group was increased, especially in nucleus when compared with those in control group. CONCLUSION: The results show that the function and the ability to express c-fos gene in bFGF treated fibroblasts are enhanced. Combined with our previous studies, it may make a conclusion that there is a network regulation mechanism between growth factors and some oncogenes.
Ambulatory electrocardiogram (ECG) monitoring can effectively reduce the risk and death rate of patients with cardiovascular diseases (CVDs). The Body Sensor Network (BSN) based ECG monitoring is a new and efficient method to protect the CVDs patients. To meet the challenges of miniaturization, low power and high signal quality of the node, we proposed a novel 50 mm×50 mm×10 mm, 30 g wireless ECG node, which includes the single-chip analog front-end AD8232, ultra-low power microprocessor MSP430F1611 and Bluetooth module HM-11. The ECG signal quality is guaranteed by the on-line digital filtering. The difference threshold algorithm results in accuracy of R-wave detection and heart rate. Experiments were carried out to test the node and the results showed that the proposed node reached the design target, and it has great potential in application of wireless ECG monitoring.
Objectives To train postgraduate medical students the ability of effectively using network resources and independently studying, and to explore new model of clinical liver cancer teaching. Methods The teaching model of problembased learning (PBL) to clinical liver cancer teaching was applied. Results The teaching model of PBL changed graduate student the status of passive acceptance to active participation. The teaching process was full of livingness, and the teaching quality was improved.Conclusion The teaching model of PBL can break through the limitations of passive acceptance of book knowledge in traditional teaching model and improve the ability to handle the comprehensive clinical knowledge of liver cancer, which provides a new model to the teaching of liver cancer to graduate medical students in clinic.
ObjectiveTo systematically evaluate the efficacy and safety of different low-molecular-weight heparins (LMWHs) in improving pregnancy outcomes in patients with recurrent abortion. MethodsThe PubMed, EMbase, Cochrane Library, CBM, CNKI, VIP and WanFang Data databases were electronically searched to collect randomized controlled trials (RCTs) related to the objectives from inception to July 2022. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies. Meta-analysis was then performed by using Stata 16.0 software. ResultsA total of 25 RCTs involving 4 631 patients were included. Enoxaparin, dalteparin, nadroparin, and tinzaparin were included. The results of network meta-analysis showed that the live birth rate of the tinzaparin was higher than that of enoxaparin and dalteparin. The live birth rate in nadroparin was higher than that in enoxaparin and dalteparin. The cumulative sorting probability showed that tinzaparin ranked best for improving the live birth rate, nadroparin ranked best for reducing the miscarriage rate, and enoxaparin ranked best for reducing the preterm birth rate. ConclusionCurrent evidence suggests that tinzaparin and nadroparin may be the best choice for improving pregnancy outcomes in patients with recurrent abortion. Due to the limited quality and quantity of the included studies, more high quality studies are needed to verify the above conclusion.
ObjectiveTo introduce sensitivity and homogeneity tests in network meta-analysis and its implementation in R software. MethodsUsing an example, we performed sensitivity analysis by comparing the random effect model with the fixed effect model. Homogeneity analysis was performed using metaphor package and combinat package in R software. ResultsThe results of the two models were similar, and the data was steady. The results of homogeneity analysis showed that the confidential intervals in all loops were crossed over with blank value; and direct and indirect estimates of the effects in network meta-analysis were not significantly different, with good homogeneity. ConclusionNetwork meta-analysis is a kind of indirect comparison analysis method, and its sensitivity is especially important. The introduction of homogeneity makes network meta-analysis more accurate. Using R software for sensitivity and homogeneity analysis in network meta-analysis is a feasible method.
In 2014, the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) working group published guidance in BMJ to evaluate the certainty of the evidence (confidence in evidence, quality of evidence) from network meta-analysis. GRADE working group suggested rating the certainty of direct evidence, indirect evidence, and network evidence, respectively. Recently, GRADE working group has published a series of papers to improve and supplement this approach. This paper introduces the frontiers and advancement of GRADE approach to rate the certainty of evidence from network meta-analysis.