• 제목/요약/키워드: Network meta-analysis

검색결과 125건 처리시간 0.03초

Effectiveness of Two-dose Varicella Vaccination: Bayesian Network Meta-analysis

  • Kwan Hong;Young June Choe;Young Hwa Lee;Yoonsun Yoon;Yun-Kyung Kim
    • Pediatric Infection and Vaccine
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    • 제31권1호
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    • pp.55-63
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    • 2024
  • 목적: 수두 감염에 대한 백신 효과성을 높이기 위해 수두백신 2회접종 전략이 여러 국가에 도입이 되었다. 본 연구에서는 Bayesian 모델을 통해 수두 예방 접종 전략의 종합적인 평가와 효과를 제공하고자 한다. 방법: 체계적 문헌고찰을 통해 수집된 연구에 대해 1회 및 2회 접종, 인구특성 및 관심대상결과와 같은 결과값들을 수집했다. 다양한 접종 횟수를 포함하는 연구의 경우 동일한 투여 횟수에 대한 데이터를 하나의 그룹으로 집계했다. 수두 백신의 1회 및 2회 접종의 예방 효과는 오즈 비 (OR) 및 해당하는 95% 신뢰 구간 (95% CI)을 기준으로 평가하였다. 결과: 문헌 검색을 통해 총 903개의 연구가 검색되었고, Bayesian 네트워크 메타 분석을 위해 25개의 개입 또는 관찰 연구가 선택되었다. 총 49,265명의 관찰 대상자가 이 연구에 포함되었다. 미접종군과 비교하여, 모든 수두 감염의 OR은 각각 2회 및 1회 접종에 대해 0.087 (95% CI, 0.046-0.164) 및 0.310 (95% CI, 0.198-0.484)이었으며, 이는 각각 1회 및 2회의 VE가 각각 69.0% (95% CI, 51.6-81.2) 및 91.3% (95% CI, 83.6-95.4)에 해당한다. 결론: 체계적인 검토 및 네트워크 메타 분석 결과, 2회 접종 백신 전략은 수두 감염 부담을 크게 감소시키는 것을 확인하였고, 2회 접종을 받은 어린이들은 1회 접종을 받은 어린이들보다 수두 감염 위험이 낮았으며, 유행 발생 시 더 나은 보호를 받는 것을 확인하였다.

소셜 네트워크 서비스 환경에서 구매의도에 관한 문헌적 고찰 및 메타분석 : 빅 데이터 분석을 활용하여 (A Meta-analysis and Review of Influencing on Purchase Intention in Social Network Service : Utilizing Big Data Analysis)

  • 진찬용
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2015년도 추계학술대회
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    • pp.127-129
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    • 2015
  • 메타분석은 어떤 한 분야의 연구결과의 통합을 통해 총괄적인 결론을 유도할 수 있는 통계적 기법으로 연구 결과가 다양할 때 각 연구의 결과를 통합하고 병합하여 종합적인 결론을 유추함으로서 기존의 다양한 연구 결과들을 체계적으로 분석하고 좀 더 명확한 결과를 제시하는 방법이다. 우리나라 학술지에 게재된 소셜 네트워크 서비스 환경에서 구매의도에 관한 연구들을 계량적으로 통합하고 검토해보기 위해 진행하였다. 본 연구는 소셜 네트워크 서비스 환경에서 구매의도에 관한 문헌적 고찰을 통해 선행연구를 살펴보고 열거된 요인에 관한 실증 분석된 연구들을 메타분석하기 위해 2000년-2015년 국내 학술지에 게재된 논문을 연구대상으로 하였다. 국내 학술지에 게재된 논문만 여과하여 조건에 부합한 총 29편의 논문을 연구에 대상으로 선정하였다. 따라서 이러한 연구결과를 바탕으로 학문적 실무적 의의를 논의하고자 한다.

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한국 경도인지장애 노인을 위한 인지기능 향상 프로그램의 효과: 메타분석 (Effect of Cognitive Improvement Programs for Mild Cognitive Impairment in Korean Elderly: A Meta-Analysis)

  • 김경윤;이은주
    • 성인간호학회지
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    • 제29권2호
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    • pp.177-189
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    • 2017
  • Purpose: A meta-analysis was conducted to identify the effect of cognitive improvement programs for the elderly with mild cognitive impairment (MCI) in Korea. Methods: Five databases, as well as relevant reference lists, of studies published from 2000 to 2016, were searched. Fourteen studies were identified. Quality assessments of included studies were conducted using the Scottish Intercollegiate Guidelines Network checklist. An R program was used to analyze effect sizes and to identify possible sources of heterogeneity among studies. The potential for publication bias was investigated using a funnel plot, Egger's regression test and sensitivity analysis. Results: The total effect size was large (Standardized Mean Difference [SMD]=1.44, 95% CI: 1.11~1.77), with cognition based intervention (SMD= 1.77, 95% CI: 1.26~2.29) and exercise intervention (SMD=1.13, 95% CI: 0.82~1.44). Statistically significant moderators were identified intervention type by meta-ANOVA analyses. Finally, no significant evidence of publication bias was found. Conclusion: There is clear evidence that cognitive improvement programs can greatly enhance cognition in elderly with MCI. Future research should examine the effects of non-pharmacological interventions targeting elderly populations with mild-to-severe cognitive impairment in order to develop and enhance the effectiveness of cognitive improvement programs in Korea.

A Formal Specification and Meta-Model for Development of Cooperative Collection·Analysis Framework

  • Cho, Eun-Sook;Song, Chee-Yang
    • 한국컴퓨터정보학회논문지
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    • 제24권12호
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    • pp.85-92
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    • 2019
  • 기업들은 소셜 미디어로부터 특정 주제 및 자사 제품에 대한 다수의 사용자들의 의견을 수집하고 분석하여 사용자 집단이나 소비 트렌드를 식별할 수 있고, 이를 기반으로 미래 예측 및 마케팅 등의 다양한 목적으로 활용하고 있다. 따라서 현재 소셜 미디어 분석 도구들이 네트워크 통계 분석을 통해 기업의 소셜 미디어 마케팅의 성과를 측정하기 위한 수단으로 사용되고 있다. 그러나 이러한 도구들은 방대한 양의 소셜 미디어 데이터를 수집하고 이를 분석하기 위해 고가의 컴퓨팅 자원 및 네트워크 자원을 소모하고, 복잡한 소프트웨어 플랫폼 구축 및 운용에 따른 비용 부담과 많은 운영 노하우를 필요로 한다. 그 결과 중소기업이나 개인 사업자의 경우는 이러한 소셜 미디어 데이터를 효율적으로 활용하지 못하는 어려움이 있다. 따라서 본 논문에서는 중소기업이나 개인 컴퓨터에서도 운영이 가능한 소셜 미디어 데이터 수집 및 분석 시스템 개발에 필요한 프레임워크 설계와 제시된 프레임워크 설계에 대한 완전성이나 일관성을 검증하기 위한 정형 명세 기법을 제시한다. 또한 정형명세 기법으로 Z 언어를 통해 명세한 결과를 Z-EVES Tool을 통해 Z 모델 체킹을 수행하여 프레임워크 설계의 명확성을 검증한다.

The Effectiveness and Safety of Acupuncture on Occipital Neuralgia: A Study Protocol for Systematic Review and/or Meta-Analysis

  • Jeong-Hyun Moon;Gyoungeun Park;Jung Eun Jang;Hyo-Rim Jo;Seo-Hyun Park;Won-Suk Sung;Yongjoo Kim;Yoon-Jae Lee;Seung Deok Lee;Eun-Jung Kim
    • Journal of Acupuncture Research
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    • 제40권3호
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    • pp.238-244
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    • 2023
  • Background: Occipital neuralgia (ON) is an established risk factor for headaches in the posterior cervical region. Several conservative treatments by nerve decompression and pain relief are available for ON, but these treatments have limitations. Acupuncture treatment, which is known to demonstrate analgesic effects, involves various stimulation methods, and several studies have reported their clinical benefit. No recent systematic review (SR) has compared each acupuncture type for ON treatment. Thus, this SR aims to investigate the clinical effectiveness of each acupuncture type for treating ON. Methods: We will identify relevant studies using electronic databases, including EMBASE, MEDLINE, Cochrane Library, China National Knowledge Infrastructure (CNKI), Korean Studies Information Service System (KISS), Korean Medical Database, KoreaMed, and National Digital Science Library (NDSL) from the inception until August 2023. The primary outcome will include the numerical change of pain symptoms (visual analog scale and numerical rating scale) and effective rate. Safety and secondary outcomes will include adverse events and quality of life. We will compare the conservative treatment with the acupuncture treatment using network meta-analysis. The Cochrane Collaboration "risk of bias" tools will be used to assess the quality of included trials. The Grades of Recommendation, Assessment, Development, and Evaluation will be used to examine the evidence level. Conclusion: This study will provide clinical evidence of several acupuncture types for ON and help clinicians decide on the best.

AnoVid: 비디오 주석을 위한 심층 신경망 기반의 도구 (AnoVid: A Deep Neural Network-based Tool for Video Annotation)

  • 황지수;김인철
    • 한국멀티미디어학회논문지
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    • 제23권8호
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    • pp.986-1005
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    • 2020
  • In this paper, we propose AnoVid, an automated video annotation tool based on deep neural networks, that automatically generates various meta data for each scene or shot in a long drama video containing rich elements. To this end, a novel meta data schema for drama video is designed. Based on this schema, the AnoVid video annotation tool has a total of six deep neural network models for object detection, place recognition, time zone recognition, person recognition, activity detection, and description generation. Using these models, the AnoVid can generate rich video annotation data. In addition, AnoVid provides not only the ability to automatically generate a JSON-type video annotation data file, but also provides various visualization facilities to check the video content analysis results. Through experiments using a real drama video, "Misaeing", we show the practical effectiveness and performance of the proposed video annotation tool, AnoVid.

Integrative Meta-Analysis of Multiple Gene Expression Profiles in Acquired Gemcitabine-Resistant Cancer Cell Lines to Identify Novel Therapeutic Biomarkers

  • Lee, Young Seok;Kim, Jin Ki;Ryu, Seoung Won;Bae, Se Jong;Kwon, Kang;Noh, Yun Hee;Kim, Sung Young
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권7호
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    • pp.2793-2800
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    • 2015
  • In molecular-targeted cancer therapy, acquired resistance to gemcitabine is a major clinical problem that reduces its effectiveness, resulting in recurrence and metastasis of cancers. In spite of great efforts to reveal the overall mechanism of acquired gemcitabine resistance, no definitive genetic factors have been identified that are absolutely responsible for the resistance process. Therefore, we performed a cross-platform meta-analysis of three publically available microarray datasets for cancer cell lines with acquired gemcitabine resistance, using the R-based RankProd algorithm, and were able to identify a total of 158 differentially expressed genes (DEGs; 76 up- and 82 down-regulated) that are potentially involved in acquired resistance to gemcitabine. Indeed, the top 20 up- and down-regulated DEGs are largely associated with a common process of carcinogenesis in many cells. For the top 50 up- and down-regulated DEGs, we conducted integrated analyses of a gene regulatory network, a gene co-expression network, and a protein-protein interaction network. The identified DEGs were functionally enriched via Gene Ontology hierarchy and Kyoto Encyclopedia of Genes and Genomes pathway analyses. By systemic combinational analysis of the three molecular networks, we could condense the total number of DEGs to final seven genes. Notably, GJA1, LEF1, and CCND2 were contained within the lists of the top 20 up- or down-regulated DEGs. Our study represents a comprehensive overview of the gene expression patterns associated with acquired gemcitabine resistance and theoretical support for further clinical therapeutic studies.

Efficacy and Safety of Laser Surgery and Transurethral Resection of the Prostate for Treating Benign Prostate Hyperplasia: a Network Meta-analysis

  • Wang, Li;Yu, Qiu-Yan;Liu, Yan;Zhu, Zhen-Li;Huang, Yuan-Wei;Li, Ke
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권9호
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    • pp.4281-4288
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    • 2016
  • Background: Traditional meta-analyses or systematic reviews of randomized controlled trials (RCTs) have been used to compare laser surgeries and transurethral resection of the prostate (TURP) for benign prostate hyperplasia (BHP), but they cannot provide a hierarchy regarding efficacy and safety of treatment. Objective: We therefore performed a network meta-analysis (NMA) to compare and create hierarchies for efficacy and safety of TUPR and laser surgeries for BPH. Materials and Methods: We searched for reports of RCTs published up to April 25, 2015. After methodological quality assessment and data extraction, we performed an NMA to compare TURP and laser surgeries for BPH. Results: We ranked the treatments of TURP and laser surgeries for BPH. For IPSS at 6 months, holmium laser resection of the prostate (HoLRP) ranked the first-best and at 12 months, holmium laser enucleation of the prostate (HoLEP). For Qmax at 6 and 12 months, HoLEP ranked the first-best; for operative time it was TURP; for cathedral removal time, diode laser enucleation of the prostate (DiLEP) ranked the first-best. Conclusions: Although TURP is considered the gold standard for treating BPH, it is not better in terms of efficacy and safety compared with the laser surgery. Our NMA created hierarchies for the 9 types of surgery in terms of efficacy and safety, which should help clinicians choose the best approach for the individual patient.

빅데이터를 활용한 메타패션 의미구조 분석에 관한 연구: '메타버스' + '패션디자인' 키워드를 중심으로 (Analysis of Meta Fashion Meaning Structure using Big Data: Focusing on the keywords 'Metaverse' + 'Fashion design')

  • 김지연;이신영
    • 한국의류산업학회지
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    • 제25권5호
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    • pp.549-559
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    • 2023
  • Along with the transition to the fourth industrial revolution, the possibility of metaverse-based innovation in the fashion field has been confirmed, and various applications are being sought. Therefore, this study performs meaning structure analysis and discusses the prospects of meta fashion using big data. From 2020 to 2022, data including the keyword "metaverse + fashion design" were collected from portal sites (Naver, Daum, and Google), and the results of keyword frequency, N-gram, and TF-IDF analyses were derived using text mining. Furthermore, network visualization and CONCOR analysis were performed using Ucinet 6 to understand the interconnected structure between keywords and their essential meanings. The results were as follows: The main keywords appeared in the following order: fashion, metaverse, design, 3D, platform, apparel, and virtual. In the N-gram analysis, the density between fashion and metaverse words was high, and in the TF-IDF analysis results, the importance of content- and technology-related words such as 3D, apparel, platform, NFT, education, AI, avatar, MCM, and meta-fashion was confirmed. Through network visualization and CONCOR analysis using Ucinet 6, three cluster results were derived from the top emerging words: "metaverse fashion design and industry," "metaverse fashion design and education," and "metaverse fashion design platform." CONCOR analysis was also used to derive differentiated analysis results for middle and lower words. The results of this study provide useful information to strengthen competitiveness in the field of metaverse fashion design.

Which is the Best Chinese Herb Injection Based on the FOLFOX Regimen for Gastric Cancer? A Network Meta-analysis of Randomized Controlled Trials

  • Wang, Jian-Cheng;Tian, Jin-Hui;Ge, Long;Gan, Yu-Hong;Yang, Ke-Hu
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권12호
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    • pp.4795-4800
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    • 2014
  • Background: Few studies have directly compared clinical efficacy and safety among Chinese herb injections (CHIs) for gastric cancer (GC). The present study aimed to compare CHIs combined with FOLFOX regimens for GC to show which provides the best CHIs results. Materials and Methods: 9 electronic databases and 6 gray literature databases were comprehensive searched in April 20, 2013. According to inclusion and exclusion criteria, two reviewers independently selected and assessed the included trials. The risk of bias tool described in the Cochrane Handbook version 5.1.0 and CONSORT statement were used to assess the quality of the trials. All calculations and graphs were performed and produced using ADDIS 1.16.5 software. Results: A total of 541 records were searched and 38 RCTs met the inclusion criteria (2,761 participants), involving 10 CHIs. The results of network meta-analysis showed that compared with FOLFOX alone, combinations with Kanglaite, Astragalus polysaccharides, Cinobufacini, or Yadanziyouru injections could furthest strengthen ORR, improve the quality of life, reduce nausea and vomiting, and reduce the incidence of leukopenia (III-IV). Conclusions: Kanglaite injection, Astragalus polysaccharides injection, Yadanziyouru injection were superior to other CHIs in clinical efficacy and safety for GC. The conclusions now need to be confirmed by large sample size direct head-to-head studies.