• Title/Summary/Keyword: Meta-Research

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Dental Radiography for Age Estimation: A Scoping Review

  • Jeon, Kug Jin;Kim, Young Hyun;Lee, Joo-Young;Jung, Hoi In;Han, Sang-Sun
    • Journal of Korean Dental Science
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    • 제15권1호
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    • pp.31-50
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    • 2022
  • Purpose: This study was to investigate the types of imaging modalities, analytical methods for age estimation, and the age of the subjects in research on age estimation using dental radiography through a scoping review, and to investigate the overall trends in age estimation studies. Materials and Methods: A scoping review was designed according to the Arksey and O'Malley guidelines and the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) statement. Three electronic databases were used as search sources (Medline, Embase, and Cochrane Library). Studies were classified according to the three main components of the research question. "What are the imaging modalities, analytical methods, and target age in dental imaging-based age estimation studies?" Result: The final 198 studies were selected by two reviewers. The most common imaging modality used in studies was panoramic radiography (69.7%), and studies using cone-beam computed tomography have increased over time. Analytical methods for age estimation were 62.6% in studies based on tooth development and 26.3% in studies using pulp/tooth ratio. The subject age was 27.8% for children and 27.3% for adults. Studies conducted in all age groups comprised the smallest category (5.2%). Conclusion: Panoramic radiography has been the most used types of imaging modalities for age estimation, and the most common analytical method was analysis of tooth development. Most studies targeted specific ages, and very few involved all age groups. Dental age estimation studies should be carried out with appropriate consideration of the imaging modality that is analyzed, the methods that are used, and the age that is targeted.

고관절 치환술 후 추나치료 효과: 체계적 문헌고찰 및 메타분석 (Effects of Chuna Manual Therapy after Hip Arthroplasty: A Systematic Review and Meta-Analysis of Randomized Controlled Trials)

  • 이은별;김현지;김채영;안희덕
    • 한방재활의학과학회지
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    • 제32권2호
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    • pp.95-103
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    • 2022
  • Objectives This study was conducted to assess the effect of chuna manual therapy after hip arthroplasty. Methods We searched across 9 electronic databases (PubMed, Cochrane Library, Wangfang data, China National Knowledge Infrastructure [CNKI], Oriental Medicine Advanced Searching Integrated System [OASIS], National Digital Science Library [NDSL], Korean Medical Database [KMBASE], Koreanstudies Information Service System [KISS], Research Information Sharing Service [RISS]) to find randomized controlled clinical trials for chuna manual therapy after hip arthroplasty. Results On inclusion criteria, 11 appropriate studies were included and analyzed. The deep vein thrombosis incidence of the chuna manual therapy group was statistically lower than the conventional treatment group (p=0.0002). Chuna manual therapy significantly improved the Harris hip score compared with conventional treatment (p<0.00001). Also, chuna manual therapy combined with herbal fumigation therapy significantly elevated the hip joint function score of Harris hip score compared with the conventional therapy group (p<0.00001). Conclusions The systematic review showed that chuna manual therapy had significant effects on hip arthroplasty. Nonetheless, considering the high risk of bias and geographic bias, further research with well-designed studies is required to support the effectiveness of chuna manual therapy.

Outcomes of Closed versus Open Rhinoplasty: A Systematic Review

  • Gupta, Rohun;John, Jithin;Ranganathan, Noopur;Stepanian, Rima;Gupta, Monik;Hart, Justin;Nossoni, Farideddin;Shaheen, Kenneth;Folbe, Adam;Chaiyasate, Kongkrit
    • Archives of Plastic Surgery
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    • 제49권5호
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    • pp.569-579
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    • 2022
  • Open and closed rhinoplasty are two main approaches to perform nasal modifications. According to current literature, there is no current consensus among plastic surgeons and otolaryngologists on which technique is preferred in terms of aesthetic result, complications, and patient satisfaction. This study uses published research to determine whether open or closed rhinoplasty leads to superior patient outcomes. Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for systematic reviews were followed and a literature search was conducted in four databases based on our search strategy. Articles were then imported into COVIDENCE where they underwent primary screening and full-text review. Twenty articles were selected in this study after 243 articles were screened. There were 4 case series, 12 retrospective cohort studies, 1 prospective cohort study, 1 case-control, and 2 outcomes research. There were three cosmetic studies, eight functional studies, and nine studies that included both cosmetic and functional components. Sixteen studies utilized both open and closed rhinoplasty and four utilized open rhinoplasty. Both techniques demonstrated high patient and provider satisfaction and no advantage was found between techniques. Based on available studies, we cannot conclude if there is a preference between open or closed rhinoplasty in terms of which technique leads to better patient outcomes. Several studies determined that open rhinoplasty and closed rhinoplasty leads to comparative patient satisfaction. To make outcome reporting more reliable and uniform among studies, authors should look to utilize the Nasal Obstruction and Septoplasty Effectiveness scale and the Rhinoplasty Outcome Evaluation.

미소 픽셀을 갖는 비행 객체 인식을 위한 데이터베이스 구축 및 관리시스템 연구 (Database Generation and Management System for Small-pixelized Airborne Target Recognition)

  • 이호섭;신희민;심현철;조성욱
    • 항공우주시스템공학회지
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    • 제16권5호
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    • pp.70-77
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    • 2022
  • 본 논문에서, 데이터베이스 생성 및 관리 시스템은 미소 픽셀 공중 표적 인식을 위해 제안된다. 제안된 시스템은 1)비행 테스트 비디오 프레임에 의한 직접 이미지 추출, 2) 자동 이미지 보관, 3) 이미지 데이터 레이블링 및 메타 데이터 주석, 4) 컬러 채널 변환, 5) HOG/LBP 기반 소화소 대상 증강 이미지 데이터 생성의 다섯가지 주요 기능으로 구성된다. 제안하는 프로그램은 파이썬 기반의 PyQt5와 OpenCV를 이용하여 구성하였고 공중 표적 인식을 위한 이미지 데이터셋은 제안한 시스템을 이용해 생성했으며 비행 실험으로 부터 수집된 영상을 입력영상으로 사용하였다.

The Effectiveness of Acupuncture for Herpes Zoster: A Systematic Review and Meta-Analysis

  • Seong-Kyeong Choi;Jeong-Hyun Moon;Woo-Seok Jang;Jung-Eun Jang;Si-Hyun Park;Won-Suk Sung;Chan-Yung Jung;Byung-Kwan Seo;Seung-Deok Lee;Kyung-Ho Kim;Eun-Jung Kim
    • Journal of Acupuncture Research
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    • 제40권1호
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    • pp.16-34
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    • 2023
  • Herpes zoster (HZ) results from the reactivation of a varicella-zoster virus infection and is accompanied by moderate-to-severe pain in most patients. The most common treatment is medication; however, there are still limitations. Acupuncture reportedly has meaningful therapeutic effects and is a possible alternative option in HZ. However, no systematic reviews examining the use of acupuncture and electro-acupuncture (EA) alone have been published; in this study, we therefore aimed to systematically review those techniques. We searched for clinical trials of acupuncture and EA treatment for HZ up to October 2022. Trials that used acupuncture were included. Outcomes were visual analog scale (VAS) and effective rate. Secondary outcomes were time to pain relief, time to pain elimination, incrustation, decrustation, lastly incidence of post-herpetic neuralgia (PHN). In total, 22 randomized controlled trials were included in this research. Compared with conventional medication therapy, acupuncture was associated with a significant improvement in VAS, effective rate, and times to pain relief and elimination. Times to new blister cessation, incrustation, and decrustation (days) were significantly improved. Furthermore, the incidence rate of PHN was lower in acupuncture groups. The results suggest that acupuncture could be a reasonable treatment option for patients with HZ who suffer from pain and accompanying symptoms.

양극성 장애의 약물치료 가이드라인 비교 (Comparative Review of Pharmacological Treatment Guidelines for Bipolar Disorder)

  • 진서연;김효영;김예슬;허채원;권보영;최보윤;이보배;이지예;권채은;문영도;;박지현
    • 한국임상약학회지
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    • 제33권3호
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    • pp.153-167
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    • 2023
  • Objective: Bipolar disorder displays a spectrum of manifestations, including manic, hypomanic, depressive, mixed, psychotic, and atypical episodes, contributing to its chronic nature and association with heightened suicide risk. Creating effective pharmacotherapy guidelines is crucial for managing bipolar disorder and reducing its prevalence. Treatment algorithms grounded in science have improved symptom management, but variations in recommended medications arise from research differences, healthcare policies, and cultural nuances globally. Methods: This study compares Korea's bipolar disorder treatment algorithm with guidelines from the UK, Australia, and an international association. The aim is to uncover disparities in key recommended medications and their underlying factors. Differences in CYP450 genotypes affecting drug metabolism contribute to distinct recommended medications. Variances also stem from diverse guideline development approaches-expert consensus versus metaanalysis results-forming the primary differences between Korea and other countries. Results: Discrepancies remain in international guidelines relying on meta-analyses due to timing and utilized studies. Drug approval speeds further impact medication selection. However, limited high-quality research results are the main cause of guideline variations, hampering consistent treatment conclusions. Conclusion: Korea's unique Delphi-based treatment algorithm stands out. To improve evidence-based recommendations, large-scale studies assessing bipolar disorder treatments for the Korean population are necessary. This foundation will ensure future recommendations are rooted in scientific evidence.

Managing Mental Health during the COVID-19 Pandemic: Recommendations from the Korean Medicine Mental Health Center

  • Hyo-Weon Suh;Sunggyu Hong;Hyun Woo Lee;Seok-In Yoon;Misun Lee;Sun-Yong Chung;Jong Woo Kim
    • 대한한의학회지
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    • 제43권4호
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    • pp.102-130
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    • 2022
  • Objectives: The persistence and unpredictability of coronavirus disease (COVID-19) and new measures to prevent direct medical intervention (e.g., social distancing and quarantine) have induced various psychological symptoms and disorders that require self-treatment approaches and integrative treatment interventions. To address these issues, the Korean Medicine Mental Health (KMMH) center developed a field manual by reviewing previous literature and preexisting manuals. Methods: The working group of the KMMH center conducted a keyword search in PubMed in June 2021 using "COVID-19" and "SARS-CoV-2". Review articles were examined using the following filters: "review," "systematic review," and "meta-analysis." We conducted a narrative review of the retrieved articles and extracted content relevant to previous manuals. We then created a treatment algorithm and recommendations by referring to the results of the review. Results: During the initial assessment, subjective symptom severity was measured using a numerical rating scale, and patients were classified as low- or moderate-high risk. Moderate-high-risk patients should be classified as having either a psychiatric emergency or significant psychiatric condition. The developed manual presents appropriate psychological support for each group based on the following dominant symptoms: tension, anxiety-dominant, anger-dominant, depression-dominant, and somatization. Conclusions: We identified the characteristics of mental health problems during the COVID-19 pandemic and developed a clinical mental health support manual in the field of Korean medicine. When symptoms meet the diagnostic criteria for a mental disorder, doctors of Korean medicine can treat the patients according to the manual for the corresponding disorder.

Occupational Exposure to Physical and Chemical Risk Factors: A Systematic Review of Reproductive Pathophysiological Effects in Women and Men

  • Soleiman Ramezanifar;Sona Beyrami;Younes Mehrifar;Ehsan Ramezanifar;Zahra Soltanpour;Mahshid Namdari;Noradin Gharari
    • Safety and Health at Work
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    • 제14권1호
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    • pp.17-30
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    • 2023
  • The human reproductive system can be affected by occupational exposure to many physical and chemical risk factors. This study was carried out to review the studies conducted on the issue of the pathophysiological effects of occupational physical and chemical risk factors on the reproductive system of females and males. In this systematic review, the databases such as "Google Scholar," "Pub-Med," "Scopus," and "Web of Science" were used. Following the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA 2020), the studies included in our study were published between 2000 and 2021. In order to extract the required data, all sections of the articles were reviewed. Out of 57 articles we reviewed, 34 articles were related to field studies and 23 articles to clinical studies. Among them, 43 studies dealt with the pathophysiological effects of chemical agents, six studies dealt with the pathophysiological effects of physical factors, and 8 studies dealt with the pathophysiological effects of physicochemical factors on the human reproductive system. Physical (noise, heat, and radiofrequency radiation) and chemical (such as carbamate and organophosphate pesticides, benzene, toluene, xylene, formaldehyde, NO2, CS2, manganese, lead, nickel, and n-hexane) risk factors had pathophysiological effects on the human reproductive system. The presence of these risk factors in the workplace caused damage to the human reproductive system. The rate of these negative pathophysiological effects can be reduced by performing appropriate managerial, technical, and engineering measures in work environments.

Prophet 알고리즘을 활용한 가상화폐의 자동 매매 프로그램 개발 (Cryptocurrency Auto-trading Program Development Using Prophet Algorithm)

  • 김현선;안재준
    • 산업경영시스템학회지
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    • 제46권1호
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    • pp.105-111
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    • 2023
  • Recently, research on prediction algorithms using deep learning has been actively conducted. In addition, algorithmic trading (auto-trading) based on predictive power of artificial intelligence is also becoming one of the main investment methods in stock trading field, building its own history. Since the possibility of human error is blocked at source and traded mechanically according to the conditions, it is likely to be more profitable than humans in the long run. In particular, for the virtual currency market at least for now, unlike stocks, it is not possible to evaluate the intrinsic value of each cryptocurrencies. So it is far effective to approach them with technical analysis and cryptocurrency market might be the field that the performance of algorithmic trading can be maximized. Currently, the most commonly used artificial intelligence method for financial time series data analysis and forecasting is Long short-term memory(LSTM). However, even t4he LSTM also has deficiencies which constrain its widespread use. Therefore, many improvements are needed in the design of forecasting and investment algorithms in order to increase its utilization in actual investment situations. Meanwhile, Prophet, an artificial intelligence algorithm developed by Facebook (META) in 2017, is used to predict stock and cryptocurrency prices with high prediction accuracy. In particular, it is evaluated that Prophet predicts the price of virtual currencies better than that of stocks. In this study, we aim to show Prophet's virtual currency price prediction accuracy is higher than existing deep learning-based time series prediction method. In addition, we execute mock investment with Prophet predicted value. Evaluating the final value at the end of the investment, most of tested coins exceeded the initial investment recording a positive profit. In future research, we continue to test other coins to determine whether there is a significant difference in the predictive power by coin and therefore can establish investment strategies.

A Scientometric and Meta-analysis of Rail Infrastructure in Nigeria

  • Awodele, Imoleayo Abraham;Mewomo, Modupe Cecilia
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.960-966
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    • 2022
  • Mobility is an essential human need. Human survival and societal interaction depend on the ability to move people and goods. Efficient mobility systems are essential facilitators of economic development. Cities could not exist and global trade could not occur without systems to transport people and goods cheaply and efficiently. Rail has been considered as one of the important components of the transportation infrastructure required to service and improve the performance and productivity of an economy. In Nigeria, the rail infrastructure built by the colonial master several decades ago has been left in a state of total deterioration. This long neglect was occasioned by the failure of the government to pay adequate attention to infrastructure development. There is a vital and urgent need for rail infrastructure development in Nigeria. This study presents a systematic review of the evolution of rail, the current nature of railway infrastructure delivery in Nigeria, and offers possible suggestions on how to achieve an effective and sustainable rail infrastructure delivery in Nigeria. A thorough literature search of academic databases was conducted on current research trends on the subject of railway infrastructure by systematically reviewing selected published articles from reputable research domains. The analysis of the selected articles revealed the following among others (1) the existing railway infrastructure is in a state of mess and not sustainable, and (2), Government's investment/commitment in rail infrastructure seems inadequate compared to what is obtainable in other developed countries. Rail infrastructure development cannot be left to the Federal government of Nigeria to solve on its own; collaboration and participation are required. Government as a matter of priority should devote considerable attention to the development of rail infrastructure to harness the economic potential and transformation that sustainable rail infrastructural projects will provide.

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