• Journal of Acupuncture Research
• /
• v.38 no.2
• /
• pp.110-121
• /
• 2021

The objective of this study was to conduct a systematic review and network meta-analysis to evaluate and compare the effectiveness of various types of acupuncture for menopausal hot flashes (HF). Randomized controlled trials (RCTs) were retrieved from 8 electronic databases, and the risk of bias was evaluated for the included studies. Pairwise meta-analysis and network meta-analysis were performed using Review Manager and R software for indirect comparison and ranking, respectively. In total, 23 RCTs (2,302 patients) were eligible for systematic review, of which 10 were included in network meta-analysis. Network meta-analysis showed manual acupuncture (MA) had the highest probability of reducing HF frequency and severity, followed by sham acupuncture (SA), electroacupuncture, usual care, or no treatment; furthermore, warm acupuncture significantly improved menopause-specific quality of life compared with MA or electroacupuncture. Compared with hormone replacement therapy, acupuncture had less efficacy in reducing HF frequency but enhanced menopause-specific quality of life. There was no significant difference between MA and SA in mitigating HF. The existing evidence showed that MA could be used for alleviating menopausal HF. However, it is recommended that more high-quality RCTs should be performed.

• Journal of muscle and joint health
• /
• v.29 no.1
• /
• pp.18-27
• /
• 2022

Purpose: A network meta-analysis was conducted to assess the comparative effects and ranks of repositioning for pressure ulcer prevention in adults. Methods: A network meta-analysis was performed in a frequency method, using the "netmeta" package of R software version 4.1. The effects of repositioning intervention were confirmed by the odds ratio. The comparative ranking of the repositioning effects was confirmed using the cumulative probability (P-score). Results: Seven intervention studies were included in this study. Based on the P-score, the use of the repositioning system was ranked as the most effective among all interventions (P-score 78.7%). Next was 3~4-hour repositioning combined with memory foam mattress use (P-score 77.2%), use of wearable sensor (P-Score 61.4%), 2-hour repositioning combined with memory foam mattress use (P-score 59.1%), 2-hour repositioning combined with powered air pressure redistribution mattress use (P-score 18.0%), and 4-hour repositioning combined with powered air pressure redistribution mattress use (P-score 18.0%). Conclusion: This study provides information on the relative comparative value of various repositioning interventions to prevent pressure ulcers using network meta-analysis. This is expected to be useful for nurses' decision-making when applying repositioning interventions in clinical practice

• Journal of muscle and joint health
• /
• v.30 no.3
• /
• pp.218-229
• /
• 2023

Purpose: This study aimed to assess and compare the effectiveness of various fall prevention interventions in hospitals through a network meta-analysis. Methods: A network meta-analysis was conducted using the "netmeta" package in R software (v4.1), employing a frequency method. Odds ratios of fall rates and injurious fall rates were utilized to confirm the effects of interventions for fall prevention. Comparative rankings of these interventions were determined using cumulative probability (P-score). Results: Comparative rankings via cumulative probability (P-scores) revealed individualized education as the most effective intervention for fall incidence (P-Score 87.8%). Followed by fall-preventing sensors (60.9%), multicomponent interventions (47.4%), usual care (33.2%), and environmental modification (20.7%). For fall-related injuries, individualized education ranked highest (P-Score 97.1%), followed by multicomponent interventions (76.0%), usual care (47.6%), environmental modification (24.2%), and fall-preventing sensors (5.1%). Conclusion: This study provides valuable insights into the relative effectiveness of diverse interventions in preventing fall incidence through network meta-analysis. The findings aim to support nurses in making informed decisions when implementing fall prevention strategies in clinical practice.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.5
• /
• pp.1755-1777
• /
• 2022

The development of wireless communication technology has led to the underutilization of radio spectra. To address this limitation, an intelligent cognitive radio network was developed. Specific emitter identification (SEI) is a key technology in this network. However, in realistic non-cooperative scenarios, the system may detect signal classes beyond those in the training database, and only a few labeled signal samples are available for network training, both of which deteriorate identification performance. To overcome these challenges, a meta-learning-based open-set identification system is proposed for SEI. First, the received signals were pre-processed using bi-spectral analysis and a Radon transform to obtain signal representation vectors, which were then fed into an open-set SEI network. This network consisted of a deep feature extractor and an intrinsic feature memorizer that can detect signals of unknown classes and classify signals of different known classes. The training loss functions and the procedures of the open-set SEI network were then designed for parameter optimization. Considering the few-shot problems of open-set SEI, meta-training loss functions and meta-training procedures that require only a few labeled signal samples were further developed for open-set SEI network training. The experimental results demonstrate that this approach outperforms other state-of-the-art SEI methods in open-set scenarios. In addition, excellent open-set SEI performance was achieved using at least 50 training signal samples, and effective operation in low signal-to-noise ratio (SNR) environments was demonstrated.

• Restorative Dentistry and Endodontics
• /
• v.48 no.1
• /
• pp.5.1-5.22
• /
• 2023

This systematic review and network meta-analysis aimed to answer the following focused research question: "Does the type of endodontic sealer affect the postoperative pain in patients who received endodontic treatment?" Different databases and grey literature were surveyed. Only one randomized controlled trial were included. The risk of bias in the studies was evaluated by using the Cochrane Collaboration's tool. A random-effects meta-analysis was conducted to compare the risk and intensity of postoperative pain. The quality of the body of evidence was assessed using the Grading of Recommendations Assessment, Development, and Evaluation approach. Out of 11,601 studies, 15 remained for qualitative analyses and 12 for meta-analysis. Seven studies were classified at high risk of bias, and 8 studies raised some concerns. No significant differences between the endodontic materials were observed in the direct comparisons, both in risk and in intensity of postoperative pain (pairwise comparisons with 2 studies: I² = 0%; p > 0.05 and 8 studies: I² = 23%; p > 0.05, respectively). The certainty of the evidence was graded as low or moderate. There was no difference in the risk and intensity of postoperative pain after filling with different endodontic sealers. Further systematic reviews should be conducted.

• Journal of the military operations research society of Korea
• /
• v.33 no.1
• /
• pp.59-74
• /
• 2007

Computer simulation models are in general quite complex and time-consuming to run, and therefore, a simpler meta-model is usually constructed for further analysis. In this paper, JANUS, a war-game simulator, is used to describe a certain tank combat situation. Then, second-order response surface and artificial neural network meta-models are developed using the data from eight different experimental designs. Relative performances of the developed meta-models are compared in terms of the mean squared error of prediction. Computational results indicate that, for the given problem, the second-order response surface meta-model generally performs better than the neural network, and the orthogonal array-based Latin hypercube design(LHD) or LHD using maximin distance criterion may be recommended.

• Asian Pacific Journal of Cancer Prevention
• /
• v.17 no.2
• /
• pp.867-872
• /
• 2016

Background: Esophageal cancer is one of the most serious malignancies. Due to the aggressive nature of this cancer, the prognosis is poor. A network meta-analysis with simultaneous comparison of multiple treatments can help determine better treatment options that have higher effects on overall survival of patients with lower adverse events. The aim of this review is to simultaneously compare efficacy and adverse events of treatment interventions for esophageal cancer. Materials and Methods: In this review, only randomized control trials (RCT) will be considered for network meta-analysis. All international electronic databases including Medline, Web of Sciences, Scopus, Cochran's library, EMBASE and Cancerlit will be searched to find randomized control trials which compared two or more treatment interventions for esophageal cancer. A network plot will be drawn for visual representation of all available treatment interventions. Bayesian approach will be used to combine the direct and indirect evidence. Treatment effects (e.g. hazard ratio for time to event outcomes, risk ratio for binary outcomes, and rate ratio for count outcomes with 95% credible interval) will be reported. Moreover, cumulative probability of the treatment ranks will be reported using the surface under the cumulative ranking (SUCRA) graphs. Consistency assumption will be assessed by the loop-specific and design-by-treatment interaction approaches. Conclusions: The results of this study may be helpful for the patients, clinicians and health policy makers in selecting treatments that have the best effect on survival and lowest adverse events.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.13 no.4
• /
• pp.125-139
• /
• 2017

In this paper, we developed a framework to detect and predict insider information leakage by collecting and restoring network traffic. For automated behavior analysis, many meta information and behavior information obtained using network traffic collection are used as machine learning features. By these features, we created and learned behavior model, network model and protocol-specific models. In addition, the ensemble model was developed by digitizing and summing the results of various models. We developed a function to present information leakage candidates and view meta information and behavior information from various perspectives using the visual analysis. This supports to rule-based threat detection and machine learning based threat detection. In the future, we plan to make an ensemble model that applies a regression model to the results of the models, and plan to develop a model with deep learning technology.

• Journal of Ginseng Research
• /
• v.47 no.4
• /
• pp.493-505
• /
• 2023

In recent years, an increasing number of reports have explored the wound healing mechanism of these two traditional Chinese herbal medicines- Panax ginseng and Panax notoginseng, but there is no systematic research on the related core functions and different mechanisms in the treatment of wound healing up to now. Based on network pharmacology and meta-analysis, the present work aimed to comprehensively review the commonality and diversity of P. ginseng and P. notoginseng in wound healing. In this study, a wound healing-related "ingredients-targets" network of two herbs was constructed. Thereafter, meta-analysis of the multiple target lists by Metascape showed that these two medicines significantly regulated blood vessel development, responses to cytokines and growth factors and oxygen levels, cell death, cell proliferation and differentiation, and cell adhesion. To better understand the discrepancy between these two herbs, it was found that common signaling pathways including Rap1, PI3K/AKT, MAPK, HIF-1 and Focal adhesion regulated the functions listed above. In parallel, the different pathways including renin-angiotensin system, RNA transport and circadian rhythm, autophagy, and the different metabolic pathways may also explained the discrepancies in the regulation of the above-mentioned functions, consistent with the Traditional Chinese Medicine theory about the effects of P. ginseng and P. notoginseng.

• Journal of the Korea Convergence Society
• /
• v.12 no.12
• /
• pp.563-572
• /
• 2021

This study conducted a network meta-analysis to compare the effectiveness and ranking of pressure ulcer preventive programs in intensive care units. A frequency network meta-analysis was performed to identify evidence from relevant randomized control trials. A total of 10 randomized control trials involving 5 intervention subgroups were included in this study. Based on the ranking probabilities(P-Score), preventive materials was ranked as the most effective among all programs (P-Score 85.3.%: OR=0.12, 95% CI: 0.03, 0.49). Next was silicone foam dressing(P-Score 84.5%: OR=0.14, 95% CI: 0.05, 0.38), care bundle(P-Score 60.0%: OR=0.29, 95% CI: 0.07, 1.25), reposition (P-Score 32.3%: OR=0.66, 95% CI: 0.21, 2.09) and synthetic fabrics (P-Score 23.8%: OR=0.85, 95% CI: 0.20, 3.65). It is necessary to develop practical and efficient interventions that can prevent pressure ulcers in intensive care unit patients, improve patient safety, and reduce nurses' workload.