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1.
Zhen Ci Yan Jiu ; 45(5): 419-25, 2020 May 25.
Artigo em Chinês | MEDLINE | ID: mdl-32447860

RESUMO

OBJECTIVE: To systematically evaluate the clinical effect and safety of acupuncture in the treatment of cardiac neurosis. METHODS: Chinese databases (including SinoMed, VIP, CNKI, and Wanfang Data) and English databases (including PubMed and The Cochrane Library) were searched for randomized controlled trials (RCTs) on acupuncture in the treatment of cardiac neurosis published up to March 2019. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias of included studies, and then RevMan 5.3 was used to perform a meta-analysis. RESULTS: A total of 7 RCTs were included, with 491 patients with cardiac neurosis. The results of the meta-analysis showed that compared with the conventional western medicine group, the acupuncture group had a significantly higher total effective rate (risk ratio [RR]=1.16, 95% CI[1.05,1.28], P=0.005) and had significantly greater improvements in Hamilton Anxiety Scale score (mean difference [MD]=-3.22, 95% CI[-6.05, -0.39], P=0.03). There were no significant differences between the two groups in Hamilton Depression Scale score (MD=-1.92, 95% CI[-4.76, -0.91], P=0.18),traditional Chinese medicine symptom score (MD=-5.49, 95% CI[-11.55, 0.56], P=0.08), somatization symptom score (MD=-0.91, 95% CI[-3.28, 1.46], P=0.45), and adverse reactions (RR=0.67, 95% CI[0.26,1.78], P=0.42). CONCLUSION: Acupuncture can alleviate the symptoms and is safe in the treatment of cardiac neurosis.


Assuntos
Terapia por Acupuntura , Astenia Neurocirculatória , Humanos , Medicina Tradicional Chinesa , Astenia Neurocirculatória/terapia , PubMed , Resultado do Tratamento
3.
Zhen Ci Yan Jiu ; 45(1): 77-82, 2020 Jan 25.
Artigo em Chinês | MEDLINE | ID: mdl-32144914

RESUMO

The electrical characteristics of meridians and acupoints have been being one of the hot topics discussed by scholars, because of many influencing factors and inconsistent research results. In the present article, we collected papers published in Chinese or English in recent 10 years from PubMed, CNKI, and VIP databases by using key words of"acupuncture""meridian""resistance""capacitance""electrodermal"and"impedance". Then, we make an analysis about its development from three aspects, 1) manifestations of electrical properties of acupoints (low dermal resistance under pathological state, imbalance between left and right sides of the synonym acupoints), 2) clinical application of acupoint electrical characteristics for diagnosis of clinical disorders and evaluation of therapeutic effect, and 3) current situations of development of meridian detection instruments based on electrical characteristics (improving stability of instruments,expansion of the detected regions and measuring time, realization of visualization, and operational automation). In the process of coming studies, we highly recommend that more attention should be paid to the acupoints' "dynamic changes", and forming a standardized research plan, strengthening domestic and international academic exchanges and cooperation are definitely necessary in order to validate the objectivity and specificity of electrical characteristics of meridians and acupoints, further expanding its clinical application.


Assuntos
Pontos de Acupuntura , Meridianos , PubMed
4.
Biomed Khim ; 66(1): 7-17, 2020 Jan.
Artigo em Russo | MEDLINE | ID: mdl-32116222

RESUMO

This paper proposes a method of comparative analysis of scientific trajectories based on bibliographic profiles. The bibliographic profile ("meshprint") is a list of MeSH terms (key terms used to index articles in the PubMed), indicating the relative frequency of occurrence of each term in the scientist's articles. Comparison of personalized bibliographic profiles can be represented in the form of a semantic network, where the nodes are the names of scientists, and the relationships are proportional to the calculated measures of similarity of bibliographic profiles. The proposed method was used to analyze the semantic network of scientists united by the academic school of the academician A.I. Archakov. The results of the work allowed us to show the relationship between the scientific trajectories of one scientific school and to correlate the results with world trends.


Assuntos
Algoritmos , Bibliometria , Medical Subject Headings , Editoração/tendências , PubMed
8.
Ann Emerg Med ; 75(3): 416-417, 2020 03.
Artigo em Inglês | MEDLINE | ID: mdl-31874769
10.
Medicine (Baltimore) ; 98(41): e17527, 2019 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-31593127

RESUMO

BACKGROUND: Disparities in health outcomes across countries/areas are a central concern in public health and epidemiology. However, few authors have discussed legends that can be complemental to choropleth maps (CMs) and merely linked differences in outcomes to other factors like density in areas. Thus, whether health outcome rates on CMs showing the geographical distribution can be applied to publication citations in bibliometric analyses requires further study. The legends for visualizing the most influential areas in article citation disparities should have sophisticated designs. This paper illustrates the use of cumulative frequency (CF) map legends along with Lorenz curves and Gini coefficients (GC) to characterize the disparity of article citations in areas on CMs, based on the quantile classification method for classes. METHODS: By searching the PubMed database (pubmed.com), we used the keyword "Medicine" [journal] and downloaded 7042 articles published from 1945 to 2016. A total number of 41,628 articles were cited in Pubmed Central (PMC). The publication outputs based on the author's x-index were applied to plot CM about research contributions. The approach uses two methods (i.e., quantiles and equal total values for each class) with CF legends, in order to highlight the difference in x-indices across geographical areas on CMs. GC was applied to observe the x-index disparities in areas. Microsoft Excel Visual Basic for Application (VBA) was used for creating the CMs. RESULTS: Results showed that the most productive and cited countries in Medicine (Baltimore) were China and the US. The most-cited states and cities were Maryland (the US) and Beijing (China). Taiwan (x-index = 24.38) ranked behind Maryland (25.97), but ahead of Beijing (16.9). China earned lower disparity (0.42) than the US (0.49) and the rest of the world (0.53) when the GCs were applied. CONCLUSION: CF legends, particularly using the quantile classification for classes, can be useful to complement CMs. They also contain more information than those in standard CM legends that are commonly used with other classification methods. The steps of creating CM legends are described and introduced. Bibliometric analysts on CM can be replicated in the future.


Assuntos
PubMed/instrumentação , Saúde Pública/tendências , Publicações/tendências , Algoritmos , Pequim/epidemiologia , Bibliometria , China/epidemiologia , Sistemas de Informação Geográfica/instrumentação , Mapeamento Geográfico , Disparidades nos Níveis de Saúde , Humanos , Maryland/epidemiologia , Publicações/estatística & dados numéricos , Taiwan/epidemiologia , Estados Unidos/epidemiologia
11.
Medicine (Baltimore) ; 98(42): e17504, 2019 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-31626105

RESUMO

Mental disorders are important diseases with a high prevalence rate in the general population. Common mental disorders are complex diseases with high heritability, and their pathogenesis is the result of interactions between genetic and environmental factors. However, the relationship between mental disorders and genes is complex and difficult to evaluate. Additionally, some mental disorders involve numerous genes, and a single gene can also be associated with different types of mental disorders.This study used text mining (including word frequency analysis, cluster analysis, and association analysis) of the PubMed database to identify genes related to mental disorders.Word frequency analysis revealed 52 high-frequency genes important in studies of mental disorders. Cluster analysis showed that 5-HTT, SLC6A4, and MAOA are common genetic factors in most mental disorders; the intra-group genes in each cluster were highly correlated. Some mental disorders may have common genetic factors; for example, there may be common genetic factors between 'Affective Disorders' and 'Schizophrenia.' Association analysis revealed 35 frequent itemsets and 25 association rules, indicating close associations among genes. The results of association rules showed that CCK, MAOA, and 5-HTT are the most closely related.We used text mining technology to analyze genes related to mental disorders to further summarize and clarify the relationships between mental disorders and genes as well as identify potential relationships, providing a foundation for future experiments. The results of the associative analysis also provide a reference for multi-gene studies of mental disorders.


Assuntos
Mineração de Dados/métodos , Transtornos Mentais/genética , Análise por Conglomerados , Bases de Dados Factuais , Predisposição Genética para Doença/genética , Humanos , Monoaminoxidase/análise , PubMed , Proteínas da Membrana Plasmática de Transporte de Serotonina/análise
12.
Medicine (Baltimore) ; 98(43): e17631, 2019 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-31651878

RESUMO

BACKGROUND: Many authors are concerned which types of peer-review articles can be cited most in academics and who were the highest-cited authors in a scientific discipline. The prerequisites are determined by: (1) classifying article types; and (2) quantifying co-author contributions. We aimed to apply Medical Subject Headings (MeSH) with social network analysis (SNA) and an authorship-weighted scheme (AWS) to meet the prerequisites above and then demonstrate the applications for scholars. METHODS: By searching the PubMed database (pubmed.com), we used the keyword "Medicine" [journal] and downloaded 5,636 articles published from 2012 to 2016. A total number of 9,758 were cited in Pubmed Central (PMC). Ten MeSH terms were separated to represent the journal types of clusters using SNA to compare the difference in bibliometric indices, that is, h, g, and x as well as author impact factor(AIF). The methods of Kendall coefficient of concordance (W) and one-way ANOVA were performed to verify the internal consistency of indices and the difference across MeSH clusters. Visual representations with dashboards were shown on Google Maps. RESULTS: We found that Kendall W is 0.97 (χ = 26.22, df = 9, P < .001) congruent with internal consistency on metrics across MeSH clusters. Both article types of methods and therapeutic use show higher frequencies than other 8 counterparts. The author Klaus Lechner (Austria) earns the highest research achievement(the mean of core articles on g = Ag = 15.35, AIF = 21, x = 3.92, h = 1) with one paper (PMID: 22732949, 2012), which was cited 23 times in 2017 and the preceding 5 years. CONCLUSION: Publishing article type with study methodology and design might lead to a higher IF. Both classifying article types and quantifying co-author contributions can be accommodated to other scientific disciplines. As such, which type of articles and who contributes most to a specific journal can be evaluated in the future.


Assuntos
Autoria , Bibliometria , Medical Subject Headings , Publicações Periódicas como Assunto , Análise por Conglomerados , Humanos , PubMed , Editoração
13.
Stud Health Technol Inform ; 267: 52-58, 2019 Sep 03.
Artigo em Inglês | MEDLINE | ID: mdl-31483254

RESUMO

Fast Healthcare Interoperability Resources (FHIR), an international standard for exchanging digital health data, is increasingly used in health information technology. FHIR promises to facilitate the use of electronic health records (EHRs), enable mobile technologies and make health data accessible to large-scale analytics. Until now, there is no comprehensive review of scientific articles about FHIR and its use in digital health. Here, we aim to address this gap and provide an overview of the main topics associated with FHIR in the scientific literature. For this, we screened all articles about FHIR on Web of Science and PubMed and identified the main topics discussed in these articles. We also explored the temporal trend and geography of publications and performed some basic text mining on article abstracts. We found that the topics most commonly discussed in the articles were related to data models, mobile and web applications as well as medical devices. Since its introduction, the number of publications about FHIR have steadily increased until 2017, indicating an increasing popularity of FHIR in healthcare (in 2018, publication numbers remained stable). In sum, our study provides an overview of the scientific literature about FHIR and its current use in digital health.


Assuntos
Registros Eletrônicos de Saúde , Informática Médica , Mineração de Dados , PubMed
14.
Biomed Res Int ; 2019: 2931831, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31392210

RESUMO

Background: The apolipoprotein E knockout (ApoE -/-) mouse model is well established for the study of terpenoids in the prevention of atherosclerosis. Studies investigating the clinical benefit of terpenoids in humans are scarce. This systematic review and meta-analysis evaluated the effects of terpenoid administration on atherosclerotic lesion area in ApoE -/- mice. Methods: A comprehensive literature search using PubMed, Embase, and the Cochrane Library databases was performed to identify studies that assessed the effects of terpenoids on atherosclerosis in ApoE -/- mice. The primary outcome was atherosclerotic lesion area, and study quality was estimated using SYRCLE's risk of bias tool. Results: The meta-analysis included 25 studies. Overall, terpenoids significantly reduced atherosclerotic lesion area when compared to vehicle control (P<0.00001; SMD: -0.55; 95% CI: -0.72, -0.39). In terpenoid type and dose subgroup analyses, sesquiterpenoid (P=0.002; SMD -0.93; 95% CI: -1.52, -0.34), diterpenoid (P=0.01; SMD: -0.30; 95% CI: -0.54, -0.06), triterpenoid (P<0.00001; SMD: -0.66; 95% CI: -0.94, -0.39), tetraterpenoid (P<0.0001; SMD: -1.81; 95% CI: -2.70, -0.91), low dose (P=0.0001; SMD: -0.51; 95% CI: -0.76, -0.25), medium dose (P<0.0001; SMD: -0.48; 95% CI: -0.72, -0.24), and high dose (P=0.002; SMD: -1.07; 95% CI: -1.74, -0.40) significantly decreased atherosclerotic lesion area when compared to vehicle control. PROSPERO register number is CRD42019121176. Conclusion: Sesquiterpenoid, diterpenoid, triterpenoid, and tetraterpenoid have potential as antiatherosclerotic agents with a wide range of doses. This systematic review provides a reference for research programs aimed at the development of terpenoid-based clinical drugs.


Assuntos
Doenças da Aorta/prevenção & controle , Aterosclerose/prevenção & controle , Terpenos/farmacologia , Animais , Doenças da Aorta/genética , Doenças da Aorta/metabolismo , Doenças da Aorta/patologia , Aterosclerose/genética , Aterosclerose/metabolismo , Aterosclerose/patologia , Modelos Animais de Doenças , Camundongos , Camundongos Knockout para ApoE , PubMed
15.
Vet Clin North Am Exot Anim Pract ; 22(3): 539-548, 2019 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-31395330

RESUMO

In recent years, there has been a dramatic change in how information can be disseminated in the scientific world. This is especially true for health care in general, and exotic pet practice hardly makes an exception. From the constant growth of online repositories that archives scholarly articles such as PubMed, to the creation of hashtags specific for health care that can be followed by millions of persons, we need to understand that communication is changing and that the proper use of modern technologies may result in an unprecedented era for knowledge retrieval and dissemination.


Assuntos
Animais Exóticos , Disseminação de Informação/métodos , Medicina Veterinária/métodos , Animais , Bases de Dados Bibliográficas , MEDLINE , Revisão por Pares , PubMed , Ferramenta de Busca , Mídias Sociais
16.
Zhongguo Zhen Jiu ; 39(8): 889-95, 2019 Aug 12.
Artigo em Chinês | MEDLINE | ID: mdl-31397138

RESUMO

The internationally-accepted Consolidated Standards for Reporting of Trials (CONSORT) and Standards for Reporting Interventions in Controlled Trials of Acupuncture (STRICTA) were applied to evaluate the literature quality of randomized controlled trials (RCTs) regarding acupuncture for chronic neck pain in past 10 years. The literature of RCTs regarding acupuncture for chronic neck pain was searched by computer; the English literature was searched in PubMed and EMbase, while the Chinese literature was searched in CNKI, Wanfang database, VIP database and China Biomedical Literature Database. The literature published from January 2008 to January 2018 was searched. As a result, 29 Chinese articles and 10 English articles were included. According to CONSORT, among Chinese articles, 28 articles (96.6%) described baseline data, 23 articles (79.3%) described randomization, 0 articles (0.0%) described allocation concealment, 3 articles (10.3%) described blind method; among English articles, 6 articles (60.0%) described baseline data, 8 articles (80.0%) described randomization, 8 articles (80.0%) described allocation concealment, and 7 articles (70.0%) described blind method. According to STRICTA, among Chinese articles, 8 articles (27.6%) described needle instrument selection, 18 articles (62.1%) described needle depth, 24 articles (82.8%) described needling sensation, and 0 articles (0.0%) described acupuncturist' qualifications; among English articles, 5 articles (50.0%) described needle instrument selection, 8 articles (80.0%) described needle depth, 3 articles (30.0%) described needling sensation, and 4 articles (40.0%) described acupuncturist' qualifications. In conclusion, the reporting of acupuncture details in Chinese literature is superior to that in English literature, while the reporting of trial design in English literature is slightly superior to that in Chinese literature. Moreover, both Chinese and English literature need to further improve clinical trial design to improve the reporting quality of clinical evidence based on CONSORT and STRICTA.


Assuntos
Terapia por Acupuntura , Cervicalgia/terapia , China , Humanos , PubMed , Publicações , Ensaios Clínicos Controlados Aleatórios como Assunto
17.
Stud Health Technol Inform ; 264: 5-9, 2019 Aug 21.
Artigo em Inglês | MEDLINE | ID: mdl-31437874

RESUMO

Eliciting semantic similarity between concepts remains a challenging task. Recent approaches founded on embedding vectors have gained in popularity as they have risen to efficiently capture semantic relationships. The underlying idea is that two words that have close meaning gather similar contexts. In this study, we propose a new neural network model, named MeSH-gram, which relies on a straightforward approach that extends the skip-gram neural network model by considering MeSH (Medical Subject Headings) descriptors instead of words. Trained on publicly available PubMed/MEDLINE corpus, MeSH-gram is evaluated on reference standards manually annotated for semantic similarity. MeSH-gram is first compared to skip-gram with vectors of size 300 and at several windows' contexts. A deeper comparison is performed with twenty existing models. All the obtained results with Spearman's rank correlations between human scores and computed similarities show that MeSH-gram (i) outperforms the skip-gram model and (ii) is comparable to the best methods that need more computation and external resources.


Assuntos
Medical Subject Headings , Semântica , Humanos , MEDLINE , PubMed
18.
Stud Health Technol Inform ; 264: 188-192, 2019 Aug 21.
Artigo em Inglês | MEDLINE | ID: mdl-31437911

RESUMO

PICO (Population/problem, Intervention, Comparison, and Outcome) is widely adopted for formulating clinical questions to retrieve evidence from the literature. It plays a crucial role in Evidence-Based Medicine (EBM). This paper contributes a scalable deep learning method to extract PICO statements from RCT articles. It was trained on a small set of richly annotated PubMed abstracts using an LSTM-CRF model. By initializing our model with pretrained parameters from a large related corpus, we improved the model performance significantly with a minimal feature set. Our method has advantages in minimizing the need for laborious feature handcrafting and in avoiding the need for large shared annotated data by reusing related corpora in pretraining with a deep neural network.


Assuntos
Medicina Baseada em Evidências , PubMed , Ensaios Clínicos Controlados Aleatórios como Assunto
19.
Stud Health Technol Inform ; 264: 228-232, 2019 Aug 21.
Artigo em Inglês | MEDLINE | ID: mdl-31437919

RESUMO

Meta-analysis, a systematic retrieval from literature databases is an essential and prevailing method for combining data from multiple studies. Unfortunately, few studies have examined its rigor, which affects its reproducibility of results. We identified 22 meta-analyses on cervical cancer in PubMed for examining the parameters defined by PRISMA, relating to the rigor of literature retrieval. We found that 16 literature databases were used, and EMBASE was a leading resource, accounting for the highest frequency (81.82%). About half (45.45%) of the meta-analyses presented a complete, reproducible search strategy for at least one database. The ratio of included to retrieved articles after redundancy removal was only 6.58%, indicating low precision due to unclear or unreported processes. Our work serves as an initial step to examine the planning and execution of meta-analysis. Future efforts need to enhance reliability on literature retrieval in meta-analysis and compliance to PRISMA.


Assuntos
Recursos em Saúde , Armazenamento e Recuperação da Informação , Reprodutibilidade dos Testes , Bases de Dados Factuais , PubMed
20.
Stud Health Technol Inform ; 264: 308-312, 2019 Aug 21.
Artigo em Inglês | MEDLINE | ID: mdl-31437935

RESUMO

Exploring the topical evolution patterns and temporal trends of hypertension can promote knowledge communication among experts, and is of great significance to understand the profile and frontiers of chronic disease. Current popular topic detection mainly focuses on two directions: one is based on social network analysis (SNA), the other is based on the topic models. Aiming at distinguishing their similarities and differences, this paper adopts the community detection method and expanded topic model Dirichlet-multinomial regression (DMR) respectively to detect the topic distribution and evolution trends of hypertension research. A total of 26,717 articles in the PubMed database were used as examples to construct the MeSH Terms co-occurrence matrix. It is found that hypertension literature is mainly concentrated on three communities and five research topics. MeSH Terms obtained from SNA are more specific and clearer, while the DMR has an advantage in exploring the evolution patterns of various themes.


Assuntos
Hipertensão , Pesquisa Biomédica , Bases de Dados Factuais , Humanos , PubMed
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