• Asian Pacific Journal of Cancer Prevention
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• v.15 no.19
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• pp.8271-8277
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• 2014

Aims: Apparent diffusion coefficient (ADC) values of nodes in diffusion-weighted imaging (DWI) are widely used in differentiating metastatic from non-metastatic lymph nodes. The purpose of this meta-analysis was to demonstrate whether DWI could contribute to the precise diagnosis of breast cancer (BC) with and without lymph node metastasis (LNM). Materials and Methods: English and Chinese electronic databases were searched for relevant studies followed by a comprehensive literature search. Two reviewers independently assessed the methodological quality of the included trials based on the quality assessment of diagnostic accuracy studies (QUADAS). Summary odds ratios (ORs) and corresponding 95% confidence intervals (95% CIs) were calculated. Results: Final analysis of 624 BC subjects (patients with LNM = 254, patients without LNM = 370) were incorporated into the current meta-analysis from 9 eligible cohort studies. Combined ORs of ADCs suggested that ADC values in BC patients without LNM were higher than in patients with LNM (OR=0.56, 95%CI: 0.11-1.01, p=0.015). Subgroup analysis stratified by country indicated a low ADC value in BC patients with LNM rather than those without LNM among Chinese (OR=1.27, 95%CI: 0.89-1.66, p<0.001), Italians (OR=0.75, 95%CI: 0.13-1.38, p=0.018), and Egyptians (OR=1.27, 95%CI: 0.71-1.84, p<0.001). The findings of subgroup analysis by MRI machine type revealed that ADC values from diffusion MRI may be potential diagnostic indicators for BC using Non-Philips 1.5T (OR=1.10, 95%CI: 0.84-1.36, p<0.001). Conclusions: The main findings of our meta-analysis demonstrated that increased signal intensity on DWI and decreased signals on ADC are helpful in diagnosis of BC patients with or without LNM. DWI could therefore be an important imaging investigation in patients suspected of BC.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.25-33
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• 2017

The purpose of this study was using a meta-analysis to estimate effect size of emotional intelligence program. Using a statistical method, meta-analysis has advantages that prove intervention's amount and direction. Meta-analysis facilitates comprehensive analysis. Through the data collection, 33studies were selected and 92 effect size were calculated as analysis objects. The overall effect size of emotional intelligence program was 0.839. Depend on subordinate scope, the emotional cognition had the largest effect size. Next were the understanding domain, application domain, the regulation domain and the expression domain. Analysis on age of participant, adult group had the largest effect size. Next were the elementary students group and the adolescent group. Based on the findings, implications for future study were discussed.

• Korean Journal of Health Education and Promotion
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• v.23 no.3
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• pp.1-16
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• 2006

Objectives: To analyze the characteristics of smoking prevention programs for the adolescent, and to synthesize the common effect sizes on smoking prevention programs for the adolescent. Methods: Seventeen studies for meta-analysis were selected from dissertations, these, and papers that had been published from 1996 to 2005 and had a randomized or nonequivalent control group in a pre test-post test design. The analysis of the data was computed by using the meta-analysis software package developed by Song(2003). Results: Smoking prevention programs for the adolescent have resulted in a significant effect size on smoking-knowledge( .62), smoking-attitude( .55) of smoking prevention programs for the adolescent showed more than 'medium effect' size. In smoking-knowledge and amount of smoking, the effect size was smoking-attitudes, the effect size was large in the studies which consists of more than 10 sessions of intervention. Conclusion: From the above results, we notice that the smoking prevention programs for the adolescent were effective in increasing the smoking-knowledge, smoking-attitudes, and the intention of smoking-cessation.

• Journal of Korean Traditional Oncology
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• v.25 no.1
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• pp.25-39
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• 2020

Objectives : Lung cancer is one of the most common cancer and the leading cause of cancer deaths worldwide. This study aimed to evaluate the role of acupuncture as an adjunctive therapy for lung cancer. Methods : We conducted a systematic review and meta-analysis on the role of acupuncture therapy in lung cancer treatment by electronic and manual searching in ninedatabases, including PubMed, Cochrane library, Embase, Korean databases, and Chinese medical databases. Results : A total of 21 trials were included in the meta-analysis. The study results showed that acupuncture therapy had significant efficacy in immuneregulation, including CD3 andCD4. Further analysis revealed that acupuncture therapy significant improvements in quality of life, including Karnofsky performance status(KPS)score, functional assessment of cancer therapy-lung cancer subscale (FACT-L) and European Organization for the Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30). In addition, the pooled studies also showed that acupuncture therapy reduced cancer pain and chemotherapy-induced nausea and vomiting. Conclusions : Our study provides moderate evidence of the efficacy of the acupuncture therapy in the treatment of lung cancer.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.3
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• pp.2033-2036
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• 2013

Many studies have suggested that the XRCC1 Arg280His gene polymorphism might be involved in the development of hepatocellular carcinoma (HCC). However, the results have been inconsistent. In this study, the authors performed a meta-analysis to assess the association between XRCC1 Arg280His and HCC susceptibility. Published literature from PubMed, EMBASE and CNKI Data was searched. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using fixed- or random-effects models when appropriate. Begg's test was used to measure publication bias. A total of 7 case-control studies covering 1,448 HCC cases and 1,544 controls were included. No significant variation in HCC risk was detected in any of the genetic models overall. In the stratified analysis, four studies with sample sizes over 300 produced similar results. The corresponding pooled ORs were not substantially altered after the exclusion of three studies deviating from Hardy-Weinberg equilibrium in the control group, which indicated reliability for our meta-analysis results.

• Korean Journal of Clinical Pharmacy
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• v.34 no.1
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• pp.71-78
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• 2024

Background: Oral cancer drugs, particularly tyrosine kinase inhibitors (TKIs), are increasingly popular due to their convenience. However, they pose challenges like drug interactions, especially with medications like azole antifungals. While the FDA provides some guidance, more detailed information is needed to manage these interactions effectively. A meta-analysis was conducted to understand the impact of interactions between TKIs and azole antifungals on adverse events during clinical studies. Methods: A meta-analysis followed PRISMA guidelines. Data from PubMed, EMBASE, and references were searched until November 30, 2021. Inclusion criteria encompassed studies on TKI-antifungal interactions in English. Study selection and quality assessment were conducted by two independent investigators. Results: Out of 158 articles, 11 were selected for analysis. Combination therapy showed a slight increase in adverse events but was not statistically significant (OR 1.02, 95% CI 0.49-2.13, p=0.95). AUC and Cmax fold changes did not significantly impact adverse event development. Both itraconazole and ketoconazole showed no significant difference in adverse event development compared to TKI alone. Conclusions: Study finds TKI-DDI not significantly linked to AE increase; azole antifungal types not related to AE. Future DDI research crucial for drug development.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.3
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• pp.1303-1306
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• 2015

Studies of epidemiological and prognostic factors are very important for oncology practice. There is a rapidly increasing amount of research and resultant knowledge in the scientific literature. This means that health professionals have major challenges in accessing relevant information and they increasingly require best available evidence to make their clinical decisions. Meta-analyses of prognostic and other epidemiological factors are very practical statistical approaches to define clinically important parameters. However, they also feature many obstacles in terms of data collection, standardization of results from multiple centers, bias, and commentary for intepretation. In this paper, the obstacles of meta-analysis are briefly reviewed, and potential problems with this statistical method are discussed.

• Journal of Korean Academy of Nursing
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• v.43 no.3
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• pp.341-351
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• 2013

Purpose: This study was done to analyze the effects of Tai Chi on fall-related risk factors through meta-analysis of randomized clinical trials published in English and Korean between 2000 and 2010. Methods: Using health related database and hand search of references and Google, 28 randomized studies were collected from doctoral dissertation and published peer reviewed articles. The Comprehensive Meta-analysis version 2.0 was used for the analysis. Results: The effect sizes for Tai Chi for 3 months were significant with ES=0.54 for static balance, ES=0.24 for dynamic balance, ES=0.69 for balance measured by scale, and ES=0.40 for flexibility, ES=0.48 for muscle strength, ES=0.71 for ADL, and ES=0.37 for fear of falling. Also, the effect sizes of Tai Chi for 6 months were significant for most fall-related variables. The 6 month data for flexibility was not analyzed since only one study was published. Conclusion: The analysis of studies of randomized clinical trials indicate that Tai Chi is effective in improving balance, flexibility, muscle strength, activities of daily living, and fear of falling when applied for 3 or 6 months. The findings provide the objective evidence to apply Tai Chi as a fall preventive intervention.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.23
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• pp.10293-10298
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• 2015

Background: Previous epidemiologic studies on the association between energy intake and endometrial cancer risk have only generated contradictory results. The role of energy intake in endometrial carcinogenesis thus remains unclear. To quantitatively assess the potential association between energy intake and endometrial cancer, a meta-analysis of case-control and cohort studies was here conducted. Materials and Methods: Eligible studies were retrieved via both computerized searches and review of references. Fixed-or random-effect models were used to summarize the estimates of OR with 95%CIs. Stratified analyses on study design, region and macronutrients' calorie were performed. Results: Sixteen studies met the inclusion criteria of the meta-analysis. No association between total energy intake and endometrial cancer was observed in either overall group (OR=1.11, 95%CI 0.92-1.30) or subgroups stratified by study design and region. In the specific macronutrients' calorie analysis, higher fat energy intake was found to be associated with increased endometrial risk (OR=1.72, 95%CI 1.12-2.32) while energy from carbohydrate and protein was not related to endometrial cancer risk. Conclusions: Our analysis did not support that total energy intake is related to endometrial cancer risk, in contrast to fat energy.

• Child Health Nursing Research
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• v.29 no.1
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• pp.24-36
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• 2023

Purpose: This systematic literature review and meta-analysis explored extended reality (XR)-based pediatric nursing simulation programs and analyzed their effectiveness. Methods: A literature search was conducted between May 1 and 30, 2022 in the following electronic databases: MEDLINE, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), and CINAHL. The search period was from 2000 to 2022. In total, 6,095 articles were reviewed according to the inclusion and exclusion criteria, and 14 articles were selected for the final content analysis and 10 for the meta-analysis. Data analysis was performed using descriptive statistics and the Comprehensive Meta-Analysis program. Results: XR-based pediatric nursing simulation programs have increased since 2019. Studies using virtual reality with manikins or high-fidelity simulators were the most common, with six studies. The total effect size was statistically significant at 0.84 (95% confidence interval=0.50-1.19, z=4.82, p<.001). Conclusion: Based on the findings, we suggest developing standardized guidelines for the operation of virtual pediatric nursing simulation education and practice. Simultaneously, the application of more sophisticated research designs for effect measurement and the combined applications of various virtual simulation methods are needed to validate the most effective simulation methodology.