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  1. Article ; Online: Trends and hotspots related to traditional and modern approaches on acupuncture for stroke: A bibliometric and visualization analysis.

    Chuang, Chao-Yu / Chou, Willy / Chien, Tsair-Wei / Jen, Tung-Hui

    Medicine

    2023  Volume 102, Issue 48, Page(s) e35332

    Abstract: Background: Acupuncture role in stroke treatment and post-stroke rehabilitation has garnered significant attention. However, there is a noticeable gap in bibliometric studies on this topic. Additionally, the precision and comprehensive methodology of ... ...

    Abstract Background: Acupuncture role in stroke treatment and post-stroke rehabilitation has garnered significant attention. However, there is a noticeable gap in bibliometric studies on this topic. Additionally, the precision and comprehensive methodology of cluster analysis remain underexplored. This research sought to introduce an innovative cluster analysis technique (called follower-leading clustering algorithm, FLCA) to evaluate global publications and trends related to acupuncture for stroke in the recent decade.
    Methods: Publications pertaining to acupuncture for stroke from 2013 to 2022 were sourced from the Web of Science Core Collection. For the assessment of publication attributes-including contributing countries/regions (e.g., US states, provinces, and major cities in China) in comparison to others, institutions, departments, authors, journals, and keywords-we employed bibliometric visualization tools combined with the FLCA algorithm. The analysis findings, inclusive of present research status, prospective trends, and 3 influential articles, were presented through bibliometrics with visualizations.
    Results: We identified 1050 publications from 92 countries/regions. An initial gradual rise in publication numbers was observed until 2019, marking a pivotal juncture. Prominent contributors in research, based on criteria such as regions, institutions, departments, and authors, were Beijing (China), Beijing Univ Chinese Med (China), the Department of Rehabilitation Medicine, and Lidian Chen (Fujian). The journal "Evid.-based Complement Altern" emerged as the most productive. The FLCA algorithm was effectively employed for co-word and author collaboration analyses. Furthermore, we detail the prevailing research status, anticipated trends, and 3 standout articles via bibliometrics.
    Conclusion: Acupuncture for stroke presents a vast research avenue. It is imperative for scholars from various global regions and institutions to transcend academic boundaries to foster dialogue and cooperation. For forthcoming bibliometric investigations, the application of the FLCA algorithm for cluster analysis is advocated.
    MeSH term(s) Humans ; Prospective Studies ; Acupuncture Therapy ; Stroke/therapy ; Stroke Rehabilitation ; Bibliometrics
    Language English
    Publishing date 2023-12-05
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80184-7
    ISSN 1536-5964 ; 0025-7974
    ISSN (online) 1536-5964
    ISSN 0025-7974
    DOI 10.1097/MD.0000000000035332
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Analyzing fulminant myocarditis research trends and characteristics using the follower-leading clustering algorithm (FLCA): A bibliometric study.

    Yen, Pei-Chun / Chou, Willy / Chien, Tsair-Wei / Jen, Tung-Hui

    Medicine

    2023  Volume 102, Issue 26, Page(s) e34169

    Abstract: Background: Myocarditis can be classified into 2 categories: fulminant myocarditis (FM) and nonfulminant myocarditis. FM is the most severe type, characterized by its acute and explosive nature, posing a sudden and life-threatening risk with a high ... ...

    Abstract Background: Myocarditis can be classified into 2 categories: fulminant myocarditis (FM) and nonfulminant myocarditis. FM is the most severe type, characterized by its acute and explosive nature, posing a sudden and life-threatening risk with a high fatality rate. Limited research has been conducted on FM characteristics using cluster analysis. This study introduces the following-leading clustering algorithm (`) as a unique method and utilizes it to generate a dual map and timeline view of FM themes, aiming to gain a better understanding of FM.
    Methods: The metadata were obtained from the Web of Science (WoS) database using an advanced search strategy based on the topic (TS= (("Fulminant") AND ("Myocarditis"))). The analysis comprised 3 main components: descriptive analytics, which involved identifying the most influential entities using CJAL scores and analyzing publication trends, author collaborations using the FLCA algorithm, and generating a dual map and timeline view of FM themes using the FLCA algorithm. The visualizations included radar plots divided into 4 quadrants, stacked bar and line charts, network charts, chord diagrams, a dual map overlay, and a timeline view.
    Results: The findings reveal that the prominent entities in terms of countries, institutes, departments, and authors were the United States, Huazhong University of Science and Technology (China), Cardiology, and Enrico Ammirati from Italy. A dual map, based on the research category, was created to analyze the relationship between citing and cited articles. It showed that articles related to cells and clinical medicine/surgery were frequently cited by articles in the fields of general health/public/nursing and clinical medicine/surgery. Additionally, a visual timeline view was presented on Google Maps, showcasing the themes extracted from the top 100 cited articles. These visualizations were successfully and reliably generated using the FLCA algorithm, offering insights from various perspectives.
    Conclusion: A new FLCA algorithm was utilized to examine bibliometric data from 1989 to 2022, specifically focusing on FM. The results of this analysis can serve as a valuable guide for researchers, offering insights into the thematic trends and characteristics of FM research development. This, in turn, can facilitate and promote future research endeavors in this field.
    MeSH term(s) Humans ; Myocarditis ; Academies and Institutes ; Algorithms ; Bibliometrics ; Cluster Analysis
    Language English
    Publishing date 2023-06-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80184-7
    ISSN 1536-5964 ; 0025-7974
    ISSN (online) 1536-5964
    ISSN 0025-7974
    DOI 10.1097/MD.0000000000034169
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Using dashboards to verify coronavirus (COVID-19) vaccinations can reduce fatality rates in countries/regions: Development and usability study.

    Jen, Tung-Hui / Wu, Jian-Wei / Chien, Tsair-Wei / Chou, Willy

    Medicine

    2023  Volume 102, Issue 11, Page(s) e33274

    Abstract: Background: The new coronavirus disease 2019 (COVID-19) pandemic is raging worldwide. The administered vaccination has become a significant vehicle against the virus. Three hypotheses were made and required for validation: the number of vaccines ... ...

    Abstract Background: The new coronavirus disease 2019 (COVID-19) pandemic is raging worldwide. The administered vaccination has become a significant vehicle against the virus. Three hypotheses were made and required for validation: the number of vaccines administered is related to the country gross domestic product (GDP), vaccines can reduce the fatality rate (FR), and dashboards can present more meaningful information than traditionally static visualizations. Research data were downloaded from the GitHub website. The aims of this study are to verify that the number of vaccination uptakes is related to the country GDP, that vaccines can reduce FR, and that dashboards can provide more meaningful information than traditionally static visualizations.
    Methods: The COVID-19 cumulative number of confirmed cases (CNCCs) and deaths were downloaded from the GitHub website for countries/regions on November 6, 2021. Four variables between January 1, 2021, and November 6, 2021, were collected, including CNCCs and deaths, GDP per capita, and vaccine doses administered per 100 people (VD100) in countries/regions. We applied the Kano model, forest plot, and choropleth map to demonstrate and verify the 3 hypotheses using correlation coefficients (CC) between vaccination and FRs. Dashboards used to display the vaccination effects were on Google Maps.
    Results: We observed that the higher the GDP, the more vaccines are administered (Association = 0.68, t = 13.14, P < .001) in countries, the FR can be reduced by administering vaccinations that are proven except for the 4 groups of Asia, Low income, Lower middle income, and South America, as well as the application (app) with dashboard-type choropleth map can be used to show the comparison of vaccination rates for countries/regions using line charts.
    Conclusion: This research uses the Kano map, forest plot, and choropleth map to verify the 3 hypotheses and provides insights into the vaccination effect against the FR for relevant epidemic studies in the future.
    MeSH term(s) Humans ; COVID-19/epidemiology ; COVID-19/prevention & control ; Nigeria ; Income ; Vaccination ; Pandemics/prevention & control
    Language English
    Publishing date 2023-03-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80184-7
    ISSN 1536-5964 ; 0025-7974
    ISSN (online) 1536-5964
    ISSN 0025-7974
    DOI 10.1097/MD.0000000000033274
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Geographic risk assessment of COVID-19 transmission using recent data: An observational study.

    Jen, Tung-Hui / Chien, Tsair-Wei / Yeh, Yu-Tsen / Lin, Jui-Chung John / Kuo, Shu-Chun / Chou, Willy

    Medicine

    2020  Volume 99, Issue 24, Page(s) e20774

    Abstract: Background: The US Centers for Disease Control and Prevention (CDC) regularly issues "travel health notices" that address disease outbreaks of novel coronavirus disease (COVID)-19 in destinations worldwide. The notices are classified into 3 levels based ...

    Abstract Background: The US Centers for Disease Control and Prevention (CDC) regularly issues "travel health notices" that address disease outbreaks of novel coronavirus disease (COVID)-19 in destinations worldwide. The notices are classified into 3 levels based on the risk posed by the outbreak and what precautions should be in place to prevent spreading. What objectively observed criteria of these COVID-19 situations are required for classification and visualization? This study aimed to visualize the epidemic outbreak and the provisional case fatality rate (CFR) using the Rasch model and Bayes's theorem and developed an algorithm that classifies countries/regions into categories that are then shown on Google Maps.
    Methods: We downloaded daily COVID-19 outbreak numbers for countries/regions from the GitHub website, which contains information on confirmed cases in more than 30 Chinese locations and other countries/regions. The Rasch model was used to estimate the epidemic outbreak for each country/region using data from recent days. All responses were transformed by using the logarithm function. The Bayes's base CFRs were computed for each region. The geographic risk of transmission of the COVID-19 epidemic was thus determined using both magnitudes (i.e., Rasch scores and CFRs) for each country.
    Results: The top 7 countries were Iran, South Korea, Italy, Germany, Spain, China (Hubei), and France, with values of {4.53, 3.47, 3.18, 1.65, 1.34 1.13, 1.06} and {13.69%, 0.91%, 47.71%, 0.23%, 24.44%, 3.56%, and 16.22%} for the outbreak magnitudes and CFRs, respectively. The results were consistent with the US CDC travel advisories of warning level 3 in China, Iran, and most European countries and of level 2 in South Korea on March 16, 2020.
    Conclusion: We created an online algorithm that used the CFRs to display the geographic risks to understand COVID-19 transmission. The app was developed to display which countries had higher travel risks and aid with the understanding of the outbreak situation.
    MeSH term(s) Algorithms ; Bayes Theorem ; Betacoronavirus ; COVID-19 ; Centers for Disease Control and Prevention, U.S. ; China/epidemiology ; Coronavirus Infections/epidemiology ; Coronavirus Infections/mortality ; Coronavirus Infections/transmission ; Data Display ; Data Visualization ; Disease Outbreaks ; Europe/epidemiology ; Global Health ; Humans ; Iran/epidemiology ; Models, Statistical ; Pandemics ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/mortality ; Pneumonia, Viral/transmission ; Republic of Korea/epidemiology ; Risk Assessment ; SARS-CoV-2 ; Travel ; United States/epidemiology
    Keywords covid19
    Language English
    Publishing date 2020-02-12
    Publishing country United States
    Document type Journal Article ; Observational Study
    ZDB-ID 80184-7
    ISSN 1536-5964 ; 0025-7974
    ISSN (online) 1536-5964
    ISSN 0025-7974
    DOI 10.1097/MD.0000000000020774
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Geographic risk assessment of COVID-19 transmission using recent data ; An observational study

    Jen, Tung-Hui / Chien, Tsair-Wei / Yeh, Yu-Tsen / Lin, Jui-Chung John / Kuo, Shu-Chun / Chou, Willy

    Medicine

    2020  Volume 99, Issue 24, Page(s) e20774

    Keywords General Medicine ; covid19
    Language English
    Publisher Ovid Technologies (Wolters Kluwer Health)
    Publishing country us
    Document type Article ; Online
    ZDB-ID 80184-7
    ISSN 1536-5964 ; 0025-7974
    ISSN (online) 1536-5964
    ISSN 0025-7974
    DOI 10.1097/md.0000000000020774
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article: Geographic risk assessment of COVID-19 transmission using recent data: An observational study

    Jen, Tung-Hui / Chien, Tsair-Wei / Yeh, Yu-Tsen / Lin, Jui-Chung John / Kuo, Shu-Chun / Chou, Willy

    Medicine (Baltimore)

    Abstract: BACKGROUND: The US Centers for Disease Control and Prevention (CDC) regularly issues "travel health notices" that address disease outbreaks of novel coronavirus disease (COVID)-19 in destinations worldwide. The notices are classified into 3 levels based ... ...

    Abstract BACKGROUND: The US Centers for Disease Control and Prevention (CDC) regularly issues "travel health notices" that address disease outbreaks of novel coronavirus disease (COVID)-19 in destinations worldwide. The notices are classified into 3 levels based on the risk posed by the outbreak and what precautions should be in place to prevent spreading. What objectively observed criteria of these COVID-19 situations are required for classification and visualization? This study aimed to visualize the epidemic outbreak and the provisional case fatality rate (CFR) using the Rasch model and Bayes's theorem and developed an algorithm that classifies countries/regions into categories that are then shown on Google Maps. METHODS: We downloaded daily COVID-19 outbreak numbers for countries/regions from the GitHub website, which contains information on confirmed cases in more than 30 Chinese locations and other countries/regions. The Rasch model was used to estimate the epidemic outbreak for each country/region using data from recent days. All responses were transformed by using the logarithm function. The Bayes's base CFRs were computed for each region. The geographic risk of transmission of the COVID-19 epidemic was thus determined using both magnitudes (i.e., Rasch scores and CFRs) for each country. RESULTS: The top 7 countries were Iran, South Korea, Italy, Germany, Spain, China (Hubei), and France, with values of {4.53, 3.47, 3.18, 1.65, 1.34 1.13, 1.06} and {13.69%, 0.91%, 47.71%, 0.23%, 24.44%, 3.56%, and 16.22%} for the outbreak magnitudes and CFRs, respectively. The results were consistent with the US CDC travel advisories of warning level 3 in China, Iran, and most European countries and of level 2 in South Korea on March 16, 2020. CONCLUSION: We created an online algorithm that used the CFRs to display the geographic risks to understand COVID-19 transmission. The app was developed to display which countries had higher travel risks and aid with the understanding of the outbreak situation.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #601885
    Database COVID19

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  7. Article ; Online: Comparing the Long-Term Cardiovascular Outcomes of Lumbo-Peritoneal, Ventriculo-Peritoneal, or Non-Shunting Treatment after Idiopathic Normal Pressure Hydrocephalus: A Nationwide Retrospective Cohort Study.

    Chiu, Cheng-Di / Chiu, Po-Fan / Wu, Chih-Ying / Yip, Hei-Tung / Chiu, You-Pen / Ji, Hui-Ru / Hsu, Kai-Cheng / Tsai, Fuu-Jen / Chang, Robert Chen-Hao

    International journal of medical sciences

    2024  Volume 21, Issue 4, Page(s) 656–663

    Abstract: Purpose: ...

    Abstract Purpose:
    MeSH term(s) Humans ; Aged ; Hydrocephalus, Normal Pressure/epidemiology ; Hydrocephalus, Normal Pressure/surgery ; Retrospective Studies ; Lipopolysaccharides ; Ventriculoperitoneal Shunt/adverse effects ; Ventriculoperitoneal Shunt/methods ; Vascular Surgical Procedures ; Treatment Outcome
    Chemical Substances Lipopolysaccharides
    Language English
    Publishing date 2024-01-27
    Publishing country Australia
    Document type Journal Article
    ZDB-ID 2151424-0
    ISSN 1449-1907 ; 1449-1907
    ISSN (online) 1449-1907
    ISSN 1449-1907
    DOI 10.7150/ijms.92032
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Antimelanogenesis Effects of Leaf Extract and Phytochemicals from Ceylon Olive (

    Huang, Chi-Ya / Liu, I-Hsuan / Huang, Xiang-Zhe / Chen, Hui-Jen / Chang, Shang-Tzen / Chang, Mei-Ling / Ho, Yu-Tung / Chang, Hui-Ting

    Pharmaceutics

    2021  Volume 13, Issue 7

    Abstract: The melanogenesis inhibition effect in zebrafish ( ...

    Abstract The melanogenesis inhibition effect in zebrafish (
    Language English
    Publishing date 2021-07-10
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2527217-2
    ISSN 1999-4923
    ISSN 1999-4923
    DOI 10.3390/pharmaceutics13071059
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Analysis of structure-activity relationship of indol-3-yl-N-phenylcarbamic amides as potent STING inhibitors.

    Chang, Po-Wei / Wang, Jing-Ya / Wang, Wan-Ping / Huang, Wei-Cheng / Wu, Mine-Hsine / Song, Jen-Shin / Chen, Liuh-Yow / Tung, Chun-Wei / Chi, Ya-Hui / Ueng, Shau-Hua

    Bioorganic & medicinal chemistry

    2023  Volume 95, Page(s) 117502

    Abstract: A structure-activity relationship (SAR) study of stimulator of interferon gene (STING) inhibition was performed using a series of indol-3-yl-N-phenylcarbamic amides and indol-2-yl-N-phenylcarbamic amides. Among these analogs, compounds 10, 13, 15, 19, ... ...

    Abstract A structure-activity relationship (SAR) study of stimulator of interferon gene (STING) inhibition was performed using a series of indol-3-yl-N-phenylcarbamic amides and indol-2-yl-N-phenylcarbamic amides. Among these analogs, compounds 10, 13, 15, 19, and 21 inhibited the phosphorylation of STING and interferon regulatory factor 3 (IRF3) to a greater extent than the reference compound, H-151. All five analogs showed stronger STING inhibition than H-151 on the 2',3'-cyclic GMP-AMP-induced expression of interferon regulatory factors (IRFs) in a STING
    MeSH term(s) Amides/pharmacology ; Molecular Docking Simulation ; Phosphorylation ; Structure-Activity Relationship ; Nucleotidyltransferases/metabolism
    Chemical Substances Amides ; Nucleotidyltransferases (EC 2.7.7.-)
    Language English
    Publishing date 2023-10-14
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1161284-8
    ISSN 1464-3391 ; 0968-0896
    ISSN (online) 1464-3391
    ISSN 0968-0896
    DOI 10.1016/j.bmc.2023.117502
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Baseline cognitive function predicts full remission of suicidal symptoms among patients with treatment-resistant depression and strong suicidal ideation after low-dose ketamine infusion.

    Lin, Wei-Chen / Su, Tung-Ping / Li, Cheng-Ta / Wu, Hui-Ju / Tsai, Shih-Jen / Bai, Ya-Mei / Tu, Pei-Chi / Chen, Mu-Hong

    Journal of psychopharmacology (Oxford, England)

    2023  Volume 37, Issue 8, Page(s) 795–801

    Abstract: Background: Whether pretreatment working memory and response inhibition function are associated with the rapid and sustained antisuicidal effect of low-dose ketamine among patients with treatment-resistant depression (TRD) and strong suicidal ideation ... ...

    Abstract Background: Whether pretreatment working memory and response inhibition function are associated with the rapid and sustained antisuicidal effect of low-dose ketamine among patients with treatment-resistant depression (TRD) and strong suicidal ideation is unclear.
    Methods: We enrolled 65 patients with TRD, comprising 33 who received a single infusion of 0.5 mg/kg ketamine and 32 who received a placebo infusion. The participants performed working memory and go/no-go tasks prior to infusion. We assessed suicidal symptoms at baseline and on postinfusion Days 2, 3, 5, and 7.
    Results: The full remission of suicidal symptoms persisted for 3 days after a single ketamine infusion and the ketamine-related antisuicidal effect persisted for 1 week. Lower cognitive impairment at baseline (indicated by a higher rate of correct responses on a working memory task) was associated with the rapid and sustained antisuicidal effect of low-dose ketamine in patients with TRD and strong suicidal ideation.
    Discussion: Patients with TRD and strong suicidal ideation but low cognitive impairment may benefit the most from the antisuicidal effect of low-dose ketamine.
    MeSH term(s) Humans ; Antidepressive Agents/pharmacology ; Cognition ; Depression ; Depressive Disorder, Major/psychology ; Depressive Disorder, Treatment-Resistant/drug therapy ; Depressive Disorder, Treatment-Resistant/psychology ; Ketamine/adverse effects ; Suicidal Ideation
    Chemical Substances Antidepressive Agents ; Ketamine (690G0D6V8H)
    Language English
    Publishing date 2023-06-18
    Publishing country United States
    Document type Journal Article ; Randomized Controlled Trial ; Research Support, Non-U.S. Gov't
    ZDB-ID 639313-5
    ISSN 1461-7285 ; 0269-8811
    ISSN (online) 1461-7285
    ISSN 0269-8811
    DOI 10.1177/02698811231182107
    Database MEDical Literature Analysis and Retrieval System OnLINE

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