• Title/Summary/Keyword: Reporting Guidelines

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Deep learning convolutional neural network algorithms for the early detection and diagnosis of dental caries on periapical radiographs: A systematic review

  • Musri, Nabilla;Christie, Brenda;Ichwan, Solachuddin Jauhari Arief;Cahyanto, Arief
    • Imaging Science in Dentistry
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    • v.51 no.3
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    • pp.237-242
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    • 2021
  • Purpose: The aim of this study was to analyse and review deep learning convolutional neural networks for detecting and diagnosing early-stage dental caries on periapical radiographs. Materials and Methods: In order to conduct this review, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA) guidelines were followed. Studies published from 2015 to 2021 under the keywords(deep convolutional neural network) AND (caries), (deep learning caries) AND (convolutional neural network) AND (caries) were systematically reviewed. Results: When dental caries is improperly diagnosed, the lesion may eventually invade the enamel, dentin, and pulp tissue, leading to loss of tooth function. Rapid and precise detection and diagnosis are vital for implementing appropriate prevention and treatment of dental caries. Radiography and intraoral images are considered to play a vital role in detecting dental caries; nevertheless, studies have shown that 20% of suspicious areas are mistakenly diagnosed as dental caries using this technique; hence, diagnosis via radiography alone without an objective assessment is inaccurate. Identifying caries with a deep convolutional neural network-based detector enables the operator to distinguish changes in the location and morphological features of dental caries lesions. Deep learning algorithms have broader and more profound layers and are continually being developed, remarkably enhancing their precision in detecting and segmenting objects. Conclusion: Clinical applications of deep learning convolutional neural networks in the dental field have shown significant accuracy in detecting and diagnosing dental caries, and these models hold promise in supporting dental practitioners to improve patient outcomes.

MicroRNAs and periodontal disease: a qualitative systematic review of human studies

  • Mico-Martinez, Pablo;Alminana-Pastor, Pedro J.;Alpiste-Illueca, Francisco;Lopez-Roldan, Andres
    • Journal of Periodontal and Implant Science
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    • v.51 no.6
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    • pp.386-397
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    • 2021
  • Purpose: MicroRNAs (miRNAs) are epigenetic post-transcriptional regulators that modulate gene expression and have been identified as biomarkers for several diseases, including cancer. This study aimed to systematically review the relationship between miRNAs and periodontal disease in humans, and to evaluate the potential of miRNAs as diagnostic and prognostic biomarkers of disease. Methods: The review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines (reference number CRD42020180683). The MEDLINE, Scopus, Cochrane Library, Embase, Web of Science, and SciELO databases were searched for clinical studies conducted in humans investigating periodontal diseases and miRNAs. Expression levels of miRNAs across the different groups were analysed using the collected data. Results: A total of 1,299 references were identified in the initial literature search, and 23 articles were finally included in the review. The study designs were heterogeneous, which prevented a meta-analysis of the data. Most of the studies compared miRNA expression levels between patients with periodontitis and healthy controls. The most widely researched miRNA in periodontal diseases was miR-146a. Most studies reported higher expression levels of miR-146a in patients with periodontitis than in healthy controls. In addition, many studies also focused on identifying target genes of the differentially expressed miRNAs that were significantly related to periodontal inflammation. Conclusions: The results of the studies that we analysed are promising, but diagnostic tests are needed to confirm the use of miRNAs as biomarkers to monitor and aid in the early diagnosis of periodontitis in clinical practice.

A Systematic Review and Meta-Analysis of Randomized Controlled Trials on Chuna Manual Therapy for Cervicogenic Headache

  • Lee, Dong-Wha;Kim, Ju-Young;Hong, Min-Ho;Koo, Byung-Soo;Kim, Geun-Woo
    • Journal of Oriental Neuropsychiatry
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    • v.30 no.2
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    • pp.89-105
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    • 2019
  • Objectives: We conducted this study to evaluate the efficacy of Chuna Manual Therapy (CMT) for treatment of cervicogenic headache (CeH) through systematic review and Meta-analysis of randomized controlled trials (RCTs) as a preceding research to further research the effective of Chuna Manual Therapy for patients who suffered from CeH. Methods: We conducted a systematic review and meta-analysis by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched the studies from MEDLINE, Elsevier-EMBASE, The Cochrane Library, CAJD, KISS, KMBase, Korean Traditional Knowledge Portal, NDSL, and OASIS. The studies selected only in randomized controlled trials. We selected the chosen studies by the selection and the exclusion criteria, and evaluated the quality of the selected studies using the Jadad score and the Cochran ROB tool. We used the Visual Analogue Scale score (VAS) and Clinical total Effective Rate (CER) for the results and analyzed the results of the included studies using RevMan 5.3 software provided by the Cochran library. Results: We included 20 RCTs, including 1,673 subjects, in the systematic review and meta-analysis. After the intervention, the CMT group showed better results than the pharmacotherapy group, the physiotherapy group, and the combined treatment group. The CMT group showed a good effect on the CER and the VAS but showed a significant heterogeneity compared to the pharmacotherapy group. Conclusions: The CMT as monotherapy might have benefits on Cervicogenic Headache patient. Further well-designed studies need to be conducted.

Analysis of Korean Qualitative Studies on Cerebral Palsy (뇌성마비에 대한 국내의 질적 연구 분석)

  • Lee, Moonsung;Shin, Daewon;Kim, Buyoung;Yun, Youngju
    • Journal of The Korean Society of Integrative Medicine
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    • v.7 no.1
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    • pp.99-112
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    • 2019
  • Purpose : The purpose of this study was to analyze Korean qualitative research studies on cerebral palsy and provide a basis for future direction of research. Methods : Twenty-six articles were selected by searching 4 Korean databases (NDSL, DBpia, KISS, and RISS) and reviewing the list of additional references. All the articles were analyzed and assessed using the Consolidated criteria for Reporting Qualitative research (COREQ). Results : Seventeen qualitative studies and 9 mixed quantitative and qualitative studies were selected, and methodologies such as case study (42.3 %), constant comparative method (23.1 %) and phenomenology (23.1 %) were used. The studies investigated the effects of interventions (38.5 %), support programs (30.8 %), and life experiences (26.9 %). Among the participants, 50.0 % were persons with disabilities only, 19.2 % were parents only, and 30.8 % were combination of persons with disabilities, parents, teachers, and therapists. The number of participants in most studies was 2-9 (57.7 %). The COREQ evaluation of the selected articles revealed many shortcomings in the studies. Interview guidelines were used only in 26.9 % of the studies. In particular, many articles did not describe in detail the characteristics of researchers and the relationship between researchers and the participants. Conclusion : In future, various research methodologies and research checklists must be used to stimulate high-quality qualitative research with on cerebral palsy.

Pharmacological Treatment of Major Depressive Episodes with Mixed Features: A Systematic Review

  • Shim, In Hee;Bahk, Won-Myong;Woo, Young Sup;Yoon, Bo-Hyun
    • Clinical Psychopharmacology and Neuroscience
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    • v.16 no.4
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    • pp.376-382
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    • 2018
  • We reviewed clinical studies investigating the pharmacological treatment of major depressive episodes (MDEs) with mixed features diagnosed according to the dimensional criteria (more than two or three [hypo]manic symptoms+principle depressive symptoms). We systematically reviewed published randomized controlled trials on the pharmacological treatment of MDEs with mixed features associated with mood disorders, including major depressive disorder (MDD) and bipolar disorder (BD). We searched the PubMed, Cochrane Library, and ClinicalTrials.gov databases through December 2017 with the following key word combinations linked with the word OR: (a) mixed or mixed state, mixed features, DMX, mixed depression; (b) depressive, major depressive, MDE, MDD, bipolar, bipolar depression; and (c) antidepressant, antipsychotic, mood stabilizer, anticonvulsant, treatment, medication, algorithm, guideline, pharmacological. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We found few randomized trials on pharmacological treatments for MDEs with mixed features. Of the 36 articles assessed for eligibility, 11 investigated MDEs with mixed features in mood disorders: six assessed the efficacy of antipsychotic drugs (lurasidone and ziprasidone) in the acute phase of MDD with mixed features, although four of these were post hoc analyses based on large randomized controlled trials. Four studies compared antipsychotic drugs (olanzapine, lurasidone, and ziprasidone) with placebo, and one study assessed the efficacy of combination therapy (olanzapine+fluoxetine) in the acute phase of BD with mixed features. Pharmacological treatments for MDEs with mixed features have focused on antipsychotics, although evidence of their efficacy is lacking. Additional well-designed clinical trials are needed.

Job Analysis of the Nursing Unit Managers of Women's Hospital Using DACUM Analysis (DACUM 직무분석 기법을 이용한 여성병원 간호단위관리자의 직무분석)

  • Son, Kyoung-Suk;Cho, Kyung Sook
    • Women's Health Nursing
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    • v.25 no.3
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    • pp.239-257
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    • 2019
  • Purpose: To analyze the job of nursing unit managers working at women's hospital, using DACUM (developing a curriculum), DACUM is a method for analyzing job-focused competency. Methods: This study involved a descriptive survey. A DACUM workshop was held to define women's hospital nursing unit managers' role and identify their duties and tasks. For the workshop, a committee was formed consisting of 5 women's hospital nursing unit managers. Finally, after validation, the developed contents were made into a survey asking about nursing unit manager's duties and tasks. Results: Sixteen duties and 83 tasks were identified on the DACUM chart. The importance, difficulty, and frequency of the tasks were ranked in terms of A, B, and C, with A being the highest degree. Eight tasks received A's all in importance, difficulty, and frequency of performance. The 8 tasks were: 'taking over', 'taking care of seriously ill patients on handover', 'ward rounding', 'analyzing and resolving demands identified during handover and patient tour', 'reporting patient status during rounding', 'promoting breast-feeding', 'uterine contraction, and training for breast-feeding'. The duty with the biggest determinant coefficient (DC) was 'patients complaint management' (DC=7.09). Based on tasks, the one with the biggest DC was 'solving patient and patient guardian's complaints' (DC=7.53), followed by 'making infection control guidelines' (DC=7.5). Conclusion: When expanding the nursing staff of the hospital, women's hospitals nursing unit managers also need to use administrative functions as intermediaries to focus on the operation management of the entire hospital rather than direct nursing to suit their role.

A Study on the integration of UGC in broadcast journalism: An evidence from Bangladesh (방송 저널리즘의 UGC 이용에 관한 연구: 방글라데시의 사례를 중심으로)

  • Saiful, Hoque;Park, Jaeyung
    • Journal of Digital Convergence
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    • v.17 no.1
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    • pp.301-311
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    • 2019
  • Digital convergence put a huge challenges for broadcast media in terms of integrating user generated content (UGC). Keeping this in mind, objective of the study is to explore the factors that affecting UGC's integration in Broadcast channel from developing countries' perspective. We explored how and why UGC are appearing in Bangladeshi Television news. In-depth interview was used and news editorial level staffs were selected from leading Bangladeshi television channels. Findings suggest that, state interventions in crisis events and lack of experiences to handle crisis reporting played a crucial role to incorporate UGC in television news bulletins. One of the significant findings is that, mere traditional guidelines and work policy of the media houses will not be enough to handle user generated content as well as citizen's participation in news media. Thus, we recommend to formulate a comprehensive user generated content integration policy in the context of Bangladesh.

Meta-Analysis of Associations Between Classic Metric and Altmetric Indicators of Selected LIS Articles

  • Vysakh, C.;Babu, H. Rajendra
    • Journal of Information Science Theory and Practice
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    • v.10 no.4
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    • pp.53-65
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    • 2022
  • Altmetrics or alternative metrics gauge the digital attention received by scientific outputs from the web, which is treated as a supplement to traditional citation metrics. In this study, we performed a meta-analysis of correlations between classic citation metrics and altmetrics indicators of library and information science (LIS) articles. We followed the systematic review method to select the articles and Erasmus Rotterdam Institute of Management Guidelines for reporting the meta-analysis results. To select the articles, keyword searches were conducted on Google Scholar, Scopus, and ResearchGate during the last week of November 2021. Eleven articles were assessed, and eight were subjected to meta-analysis following the inclusion and exclusion criteria. The findings reported negative and positive associations between citations and altmetric indicators among the selected articles, with varying correlation coefficient values from -.189 to 0.93. The result of the meta-analysis reported a pooled correlation coefficient of 0.47 (95% confidence interval, 0.339 to 0.586) for the articles. Sub-group analysis based on the citation source revealed that articles indexed on the Web of Science showed a higher pooled correlation coefficient (0.41) than articles indexed in Google Scholar (0.30). The study concluded that the pooled correlation between citation metrics with altmetric indicators was positive, ranging from low to moderate. The result of the study gives more insights to the scientometrics community to propose and use altmetric indicators as a proxy for traditional citation indicators for quick research impact evaluation of LIS articles.

Medication Use Review Tools for Community Dwelling Older Patients: A Systematic Review (지역사회 거주 노인을 위한 약물사용검토 도구에 대한 체계적 문헌고찰)

  • Park, Ji-Young;Jun, Kwanghee;Baek, Yang-Seo;Park, So-Young;Lee, Ju-Yeun
    • Korean Journal of Clinical Pharmacy
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    • v.31 no.1
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    • pp.61-78
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    • 2021
  • Background and Objective: The use of potentially inappropriate medications (PIMs) increases the risk of negative health outcomes, including drug-related admissions. Tools for structured medication review have been developed to ensure optimal medication use and safety. Here, we aimed to evaluate medication use review (MUR) tools for community-dwelling older patients. Methods: We performed a systematic review of the literature according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Statement (PRISMA). We searched PubMed, Embase, and the Cochrane Library from 1991 to 2020, excluding tools that are specifically applied to hospitalized patients or nursing home residents. We identified the most common inappropriate medications, drug-disease interactions, drug-drug interactions and prescribing omissions presented among tools. Results: From among 9,788 identified reports screened, 60 met our inclusion criteria; finally, 27 were eligible for data analysis considering originality and up-to-dateness. Most tools presented explicit criteria (93%), and only one was specific to community-dwelling elderly. The most common PIM was tricyclic antidepressants. Use of diltiazem and verapamil in patients with heart failure and the combination of nonsteroidal anti-inflammatory analgesics and warfarin were the most frequent disease-specific PIM and drug-interaction, respectively. Conclusions: Although several medication review tools have been developed for older adults, specific guidelines for community-dwelling populations remain limited. Furthermore, the list of PIMs differed among available tools. In future, specific but integrating MUR tools need to be developed for clinical practice considering this population.

Clinical Benefit of Computerized Cognitive Therapy in Patients with Brain Disease : A Systematic Review and Meta-Analysis (뇌질환 환자에서 전산화 인지치료의 임상적 유용성 : 체계적 고찰 및 메타분석)

  • Song, Seungil;Park, Sowon
    • Journal of The Korean Society of Integrative Medicine
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    • v.8 no.4
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    • pp.277-289
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    • 2020
  • Purpose : This study aims to confirm the clinical usefulness of computerized cognitive therapy program for patients with brain diseases in Korea and to present basic data that can confirm the effectiveness of computerized cognitive therapy program to experts related to rehabilitation in the future. Methods : A systematic review and meta-analysis research method was used to confirm the clinical effectiveness of computerized cognitive therapy applied to patients with brain diseases in Korea. Based on the national institute of health and medical colleges association (NECA) systematic literature manual and preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines for conducting research through systematic review and meta-analysis methods. Systematic review was PICOST-SD was used to research and select papers. For meta-analysis, the data was input and analyzed separately by literature result using the revman manager 5.3 program and the results were presented visually through tables and forest, funnel plot figure. Results : As a result of comprehensive analysis of the contents of the finally selected literature, it as found that studies on stroke and dementia were mainly conducted. In addition, through the evaluation of the quality of the literature, most of the existing computerized cognitive therapy studies were identified as high-quality studies, but the results were insufficient for randomization and blinding. And through meta-analysis, the clinical effectiveness of computerized cognitive therapy on cognitive function, activities of daily living, and visual perception function of patients with brain disease was found. Conclusion : The research literature that applied computerized cognitive therapy to brain disease subjects was comprehensively analyzed and identified. It is thought that this could be used as basic data on the characteristics of cognitive therapy that should be applied to patients with brain diseases in the future and the usefulness of computerized cognitive therapy program in actual clinical practice.