• Journal of The Korean Society of Integrative Medicine
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• v.7 no.4
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• pp.119-130
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• 2019

Purpose : The purpose of this study was to investigate the meta-analysis on the effects of action observation training on stroke patients' walking. Methods : Domestic databases (DBpia, KISS, NDSL, and RISS) were searched for studies that conducted randomized controlled trials (RCTs) associated with action observation training in adults after stroke. The search outcomes were items associated with the walking function. The 18 studies that were included in the study were analyzed using R meta-analysis. A random-effect model was used for the analysis of the effect size because of the significant heterogeneity among the studies. Sub-group and meta-regression analysis were also used. Egger's regression test was conducted to analyze the publishing bias. Cumulative meta-analysis and sensitivity analysis were also done to analyze a data error. Results : The mean effect size was 2.77. The sub-group analysis showed a statistical difference in the number of training sessions per week. No statistically significant difference was found in the meta-regression analysis. Publishing bias was found in the data, but the results of the trim-and-fill method showed that such bias did not affect the obtained data. Also, the cumulative meta-analysis and sensitivity analysis showed no data errors. Conclusion : The meta-analysis of the studies that conducted randomized clinical trials revealed that action observation training effectively improved walking of the chronic stroke patients.

• Korean Journal of Clinical Pharmacy
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• v.27 no.3
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• pp.161-170
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• 2017

Background: There is recent evidence that insulin resistance is responsible for increasing the risk of developing cognitive dysfunction. To systematically review the influence of intranasal insulin treatment on the cognitive function in Alzheimer's disease patients. Methods: Randomized controlled trials comparing the cognitive effects of intranasal insulin therapy in Alzheimer's disease patients with controlled interventions were retrieved from Pubmed, Medline, Embase and Cochrane library. Meta-analysis was conducted on the cognitive measurements with a subgroup analysis by dose, gender and apolipoprotein E allele 4 (ApoE ${\varepsilon}4$) status. Results: Seven randomized controlled trials were eligible for inclusion. Intranasal insulin had a positive influence on the cognitive function as compared to placebo without a statistical significance (standardized mean difference; SMD = 0.109; 95% confidence interval; CI -0.04 to 0.26; P=0.14). In subgroup analysis, a 20 IU dose of intranasal insulin induced a significant improvement in cognitive function (SMD = 0.14; 95% CI 0.05 to 0.24; P=0.004), but 40 IU did not show this effect (SMD = -0.01; 95% CI -0.11 to 0.09; P=0.82). ApoE ${\varepsilon}4$ positive patients showed a significant decline in cognitive function as compared to ApoE ${\varepsilon}4$ positive patients in the control group (SMD = -0.213; 95% CI -0.38 to -0.04; P=0.015). Such an effect was not apparent in ApoE ${\varepsilon}4$ negative patients. Gender had no influence on the cognitive outcomes. Conclusion: The results indicate that intranasal insulin may have beneficial effect in improving the cognitive function in Alzheimer's disease patients.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.4
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• pp.1-15
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• 2023

Purpose : This study investigates the effectiveness of digital therapy for stroke patients in Korea. Methods : A comprehensive database search was performed using KCI, Science on, e-article, RISS, KISS and Korea OpenMed databases for randomized controlled trials (RCTs) that studied the effects of digital therapy on patients who had a stroke. This study includes RCTs published from January 2000 to July 15, 2022, which fulfilled the inclusion and exclusion criteria. A total 697 studies were screened and 30 studies were included in the final analysis. Methodological quality was assessed with the Cochrane's RoB (risk of bias) tool. Meta-analysis was performed using CMA 4.0 software. Results : A total of 56 effect sizes were calculated from the 30 selected studies. As a result of the analysis, the overall effect size of digital therapy was .59 (95 % CI=.43-.74). When classified according to type of intervention, VR (virtual reality) (g=.58, 95 % CI=.40-.75), and CACR (computer assisted cognitive rehabilitation) (g=.62, 95 % CI=.30-.95) were statistically significant. VR showed medium to large effect sizes in cognitive function (g=.78, 95 % CI=.20-1.37), psychosocial function (g=.63, 95 % CI=.20-1.07), and physical function (g=.61, 95 % CI=.38-.83). In the CACR, there was a large effect size in cognitive function (g=.84, 95 % CI=.52-1.15), but there was no significant difference in psychosocial function. Also, there was no significant difference between the two interventions in activities of daily living and no significant difference in the effect size of both interventions according to the intervention session. Furthermore, medium to large effect sizes were found for subacute and chronic stroke patients according to the duration of disease. Conclusion : This study presents evidence that digital therapy has a positive effect on various functions of stroke patients in Korea. The researchers expect to actively accept the new paradigm of digital therapy and continue to apply digital therapy in clinical practice.

• Journal of Industrial Convergence
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• v.21 no.12
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• pp.101-111
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• 2023

This study conducted systematic review and meta-analysis to analyze the effectiveness of a dual-task for cognitive function in patients with MCI in Korea. A search was conducted using eight databases, and the search terms were MCI, cognition, and dual task. This study includes RCT and nonRCT published from January 2013 to July 2023. A total of 682 studies were searched, and 8 studies that fulfilled the inclusion and exclusion criteria were finally analyzed. Methodological quality was assessed with the RoB, RoBANS. The meta-analysis used CMA 4.0 ver. As a result of the analysis, the overall effect size of the dual task was medium effect size. The effect size according to the outcome variables was large for orientation and executive function, and medium effect size for global cognitive function, visuospatial function, memory, and attention. As a result of analysis according to the intervention period, the effect was greater when applied for 4 to 8 weeks, and the effect size was larger when applied for 24 to 30 sessions. This study presented clinical evidence on the effectiveness and application method of a dual-task applied to improve cognitive function in patients with MCI.

• Environmental and Resource Economics Review
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• v.30 no.3
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• pp.471-501
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• 2021

We measure Environmental Efficiency (EE) based on CO₂ in four income groups from 1998 to 2018, using the Meta Stochastic Frontier Analysis method by Input Distance Function. Our results showed that economic growth and energy consumption would increase carbon dioxide emissions, and increasing labor and capital input will reduce it. Moreover, we compared Group Environmental Efficiency (GEE), Meta Environmental Efficiency (MEE), and Environmental Gap Ratio (EGR). The results showed that GEEs were be overestimated. Furthermore, the MEE showed a downward trend during this period. The lower-middle-income group had the highest EGR performance. High-income and upper-middle-income groups showed less efficiency in MEE and EGR. To improve environmental efficiency, we must reduce fossil fuels and find more scientific and technological ways to solve existing environmental problems as soon as possible.

• Journal of The Korean Society of Integrative Medicine
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• v.7 no.3
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• pp.71-83
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• 2019

Purpose: This meta-analysis aimed to analyze to the effects of aquatic exercise programs in children with cerebral palsy and identify directions for future research. Methods: A systematic search based on the PRISMA guidelines was undertaken for studies conducted between 2006 and 2018 on aquatic exercise programs in children with cerebral palsy. A total of 10 studies were selected according to the inclusion criteria. The methodological quality was assessed using the Risk of Bias Tool for Randomized Controlled Trials (RoB) and Risk-of-Bias Assessment Tool for Non-randomized Studies (RoBANS). A meta-analysis software (CMA 3.0) was used to calculate the mean effect size, effect size by intervention (Halliwick and Watsu Aquatic methods), and effect size by outcome. Results: The mean effect size was 0.457. The effect size by intervention was largest for the Halliwick method, followed by the Watsu method. The effect size by outcome was largest for range of motion, followed by the gross motor function measure, the Pediatric Berg Balance Scale, and the Modified Ashworth Scale. Meta-regression analysis showed effect size increased when sample size, number of sessions, and length of sessions increased. Conclusion: The results show that aquatic exercise programs have a positive effect on children with cerebral palsy. Therefore, it is necessary to develop a guideline that recommends the appropriate intervention and the identifies the direction of future studies on aquatic exercise programs.

• Journal of Acupuncture Research
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• v.39 no.3
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• pp.159-169
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• 2022

Failed back surgery syndrome (FBSS) is a term that applies to symptoms such as persistent or recurring low back pain, paresthesia, sciatica, or numbness after spine surgery. Electroacupuncture (EA) has been reported to have excellent analgesic effects although there have been no systematic reviews on the effects of EA on FBSS. Therefore, a systematic review and meta-analysis of the effectiveness of EA on FBSS was conducted. Eight databases were searched for studies that used EA for FBSS and 7 randomized controlled trials (RCTs) were included. RCTs of EA as combination therapy for FBSS compared with conventional treatment demonstrated improvement in the level of pain, lumbar functional scale scores, and quality of life. However, meta-analysis showed that reduction in pain was not statistically significant, while evaluation of lumbar function significantly improved, although the quality of evidence in the RCTs was generally low. RCTs comparing EA alone with conventional treatment demonstrated an improved level of pain, lumbar function, and effective rate of treatment. Meta-analysis showed that pain was significantly decreased in the EA alone group compared with the control group, although the quality of evidence was low. To improve the quality of evidence, high-quality RCTs are required in the future.

• Proceedings of the Korean Society for Language and Information Conference
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• 1986.02a
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• pp.1-38
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• 1986

• Journal of Oriental Neuropsychiatry
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• v.27 no.3
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• pp.157-167
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• 2016

Objectives: This study was undertaken to evaluate the effectiveness of the Neurofeedback training programme (NFT), and systematically search for factors related to the NFT.Methods: This study applied meta-analysis to thesis and journal articles published in Korea. A total of 42 papers published between 2001 to August in 2015 were evaluated, which were selected through a database search.Results: Summarizing the evaluation, the quality of results was low. The meta-analysis revealed that the effect size of the neurofeedback programme training was 0.691, over the median. Also, the variables were statistically significant to the neurofeedback programme training effect, and were consistent with the subject characteristics, their disabilities/non disabilities, and level of education. The results were also statistically significant to the neuro-feedback programme training effect according to the research method (training method), the sessions per a week, total sessions, and training time.Conclusions: The RoBANS result of 42 studies is at a risk of being highly biased. However, statistically, the meta-analysis result of the factors evaluated is significantly high.

• Journal of Dental Rehabilitation and Applied Science
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• v.38 no.4
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• pp.196-203
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• 2022

Purpose: This study aimed to evaluate the accuracy and clinical usability of an identification model using deep learning for 79 dental implant types. Materials and Methods: A total of 45396 implant fixture images were collected through panoramic radiographs of patients who received implant treatment from 2001 to 2020 at 30 dental clinics. The collected implant images were 79 types from 18 manufacturers. EfficientNet and Meta Pseudo Labels algorithms were used. For EfficientNet, EfficientNet-B0 and EfficientNet-B4 were used as submodels. For Meta Pseudo Labels, two models were applied according to the widen factor. Top 1 accuracy was measured for EfficientNet and top 1 and top 5 accuracy for Meta Pseudo Labels were measured. Results: EfficientNet-B0 and EfficientNet-B4 showed top 1 accuracy of 89.4. Meta Pseudo Labels 1 showed top 1 accuracy of 87.96, and Meta pseudo labels 2 with increased widen factor showed 88.35. In Top5 Accuracy, the score of Meta Pseudo Labels 1 was 97.90, which was 0.11% higher than 97.79 of Meta Pseudo Labels 2. Conclusion: All four deep learning algorithms used for implant identification in this study showed close to 90% accuracy. In order to increase the clinical applicability of deep learning for implant identification, it will be necessary to collect a wider amount of data and develop a fine-tuned algorithm for implant identification.