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1.
Rev. Hosp. Ital. B. Aires (2004) ; 42(3): 173-177, sept. 2022. ilus, tab
Article in Spanish | LILACS, BINACIS, UNISALUD | ID: biblio-1397091

ABSTRACT

Esta es la segunda parte de un artículo sobre la búsqueda de financiamiento para un proyecto de investigación. Todo proyecto de investigación requiere una fuente de financiamiento para poder ser llevado adelante. La búsqueda de fondos es una tarea que lleva tiempo y esfuerzo con una baja tasa de éxito. Compartimos algunos consejos que podrían ayudar a aumentar esa tasa de éxito en relación con: 1) cómo reconocer la necesidad de búsqueda de una fuente de financiamiento externo, 2) de dónde provienen los fondos, 3) qué gastos se pueden financiar habitualmente con los fondos y 4) cómo mejorar la escritura y la presentación a una convocatoria. (AU)


This is the second part of our series on searching funds for a research plan. Every research proposal requires a source of funding to be carried out. Looking for funds is a time and effort consuming task with a low success rate. We share some tips that may help to improve that success rate related to (1) how to recognize the need of an external funding source, (2) where the funds are coming from, (3) what costs can be funded and (4) how to improve a proposal writing and submission. (AU)


Subject(s)
Humans , Research Financing , Support of Research , Research Design/trends , Research Support as Topic/methods , Writing , Financing, Organized
2.
RECIIS (Online) ; 16(2): 366-387, abr.-jun. 2022. ilus, graf
Article in Portuguese | LILACS | ID: biblio-1378397

ABSTRACT

Doenças negligenciadas impõem um fardo humano, social e econômico devastador a mais de um bilhão de pessoas em todo o mundo. Embora existam ferramentas para controlar e até mesmo eliminar muitas dessas doenças, novos produtos terapêuticos precisam urgentemente ser desenvolvidos. Este artigo se baseia em um estudo que buscou quantificar e caracterizar a produção científica global sobre desenvolvimento de novos medicamentos para doenças negligenciadas, por meio de uma análise bibliométrica. De modo a investigar a pesquisa relacionada ao desenvolvimento de novos medicamentos para as doenças negligenciadas em âmbito global na última década, foi utilizada a base de dados Scopus. Observou-se aumento da produção de conhecimento sobre o tema, com relevante participação de autores, instituições e financiamento brasileiros, sobretudo de instituições públicas. Contudo, os esforços realizados têm sido insuficientes, sendo necessária a implementação de estratégias futuras de pesquisa e de financiamento que propiciem maior produção científica e uma tradução da pesquisa básica para a prática clínica.


Neglected diseases impose a devastating human, social, and economic burden on more than one billion people worldwide. While tools exist to control and even eliminate many of these diseases, new therapeutic products urgently need to be developed. This article is based on a study that sought to quantify and characterize the global scientific production on new drug development for neglected diseases through a bibliometric analysis. The Scopus database was used to investigate the research related to the development of new drugs for neglected diseases globally in the last decade. An increase in the production of knowledge about the theme and the relevant participation of Brazilian authors, institutions and funding, especially from public institutions were observed. However, their efforts have been insufficient, and the implementation of future research and funding strategies that provide greater scientific production and a translation of basic research into clinical practice is necessary.


Las enfermedades desatendidas imponen una carga humana, social y económica devastadora a más de mil millones de personas en todo el mundo. A pesar de haber herramientas para controlar y incluso eliminar muchas de estas enfermedades, es necesario desarrollar con urgencia nuevos productos terapéuticos. Este artículo se basa en un estudio lo cual ha buscado cuantificar y caracterizar la producción científica global sobre el desarrollo de nuevos fármacos para enfermedades desatendidas, a través de un análisis bibliométrico. Para inspeccionar investigaciones relacionadas con el desarrollo de nuevos medicamentos para enfermedades desatendidas en ámbito mundial durante la última década se utilizó la base de datos Scopus. Hubo un aumento de la producción de conocimiento sobre el tema, con una participación relevante de autores, instituciones y financiamiento brasileños, especialmente de instituciones públicas. Sin embargo, los esfuerzos realizados siguen siendo insuficientes, requiriendo la implementación de futuras estrategias de investigación y financiamiento que propicien una mayor producción científica y una traducción de la investigación básica a la práctica clínica.


Subject(s)
Humans , Drug Design , Bibliometrics , Scientific Research and Technological Development , Neglected Diseases , Drug Development , Research Design , Therapeutics , Analysis of Situation , Research Financing
3.
Porto Alegre; Editora Rede Unida; 20220524. 282 p.
Monography in Portuguese | LILACS | ID: biblio-1378998

ABSTRACT

Este livro compõe a Série Saúde & Amazônia e foi composto com capítulos produzidos por pesquisadores da rede científica que se ocupa da pesquisa "Prevenção e controle da COVID-19: a transformação das práticas sociais da população em territórios de abrangência da Atenção Básica em Saúde no Estado do Amazonas". São contribuições teóricas, metodológicas e empíricas que permitem uma aproximação analítica do contexto do sistema de saúde e das respostas locais à pandemia. Com os levantamentos iniciais, percebemos que o exercício de aproximação sucessiva com a realidade dos municípios estudados se beneficiava muito da pesquisa empírica em materiais provenientes da "literatura cinza", principalmente nesses tempos em que as redes sociais compartilham os mais diferentes discursos, tornando-os visíveis e facilmente acessáveis. O exercício epistêmico de identificar e analisar informações disponíveis em documentos e bases de informação de acesso público foi um enorme aprendizado da pesquisa. Tão habituados aos imaginários hierárquicos da investigação tradicional, aprendemos que as respostas às perguntas da pesquisa, muitas vezes, estão ao alcance do olhar que quebra o saber disciplinar e mergulha na aventura epistêmica de produzir conhecimentos oportunos em cenários de complexidade, desafio enorme à ciência nesse período de crises. Os capítulos que compõem o livro destacam a produção de dados em diferentes fontes documentais e secundárias como estratégia de pesquisa em saúde coletiva e, ao mesmo tempo, de um movimento ascendente na construção de modelos de análise, onde a escuta ao contexto local ajusta e torna mais precisa a abordagem transversal da pesquisa. Dessa forma, compartilhar esta etapa da produção também é validar um percurso que foi feito, em grande medida, ao caminhar pelas etapas iniciais da pesquisa.


Subject(s)
Primary Health Care , Health Consortia , Research Design , Social Behavior , Health Systems , Public Health , Education, Continuing , Humanization of Assistance , COVID-19
4.
Rev. Hosp. Ital. B. Aires (2004) ; 42(2): 100-104, jun. 2022. ilus, tab
Article in Spanish | LILACS, BINACIS, UNISALUD | ID: biblio-1378992

ABSTRACT

Esta es la primera parte de un artículo sobre la búsqueda de financiamiento para un proyecto de investigación. Esta entrega resume los principales ítems para tener en consideración a la hora de postularse a una convocatoria. Requerimientos del proceso: 1. Tiempo protegido. 2. Propuesta de investigación sólida. 3. Equipo calificado y con experiencia. 4. Definición y organización de actividades. 5. Cronograma de actividades. 6. Estimación de costos. (AU)


This is the first part of an article about finding funding for a research project. This delivery summarizes the main ítems to take into consideration when applying for a call. Process requirements: 1. Protected time. 2. Strong research proposal. 3. Qualified and experienced team. 4. Definition and organization of activities. 5. Schedule of activities. 6. Cost estimate. (AU)


Subject(s)
Humans , Research Support as Topic/methods , Research Financing , Support of Research , Research Design/trends , Research Support as Topic/trends , Financing, Organized
5.
Chinese Journal of Epidemiology ; (12): 739-746, 2022.
Article in Chinese | WPRIM | ID: wpr-935453

ABSTRACT

Objective: To introduce and compare four analysis methods of multiple parallel mediation model, including pure regression method, method based on inverse probability weighting, extended natural effect model method and weight-based imputation strategies. Methods: For the multiple parallel mediation model, the simulation experiments of three scenarios were carried out to compare the performance of different methods in estimating direct and indirect effects in different situations. Dataset from UK Biobank was then analyzed by using the four methods. Results: The estimation biases of the regression method and the inverse probability weighting method were relatively small, followed by the extended natural effect model method, and the estimation results of the weight-based imputation strategies were quite different from the other three methods. Conclusions: Different multiple parallel mediation analysis methods have different application situations and their own advantages and disadvantages. The regression method is more suitable for continuous mediator, and the inverse probability weighting method is more suitable for binary mediator. The extended natural effect model method has better performances when the residuals of two parallel mediators are positively correlated and the correlation degree is small. The weight-based imputation strategies might not be appropriate for parallel mediation analysis. Therefore, appropriate methods should be selected according to the specific situation in practice.


Subject(s)
Bias , Computer Simulation , Humans , Mediation Analysis , Models, Statistical , Probability , Regression Analysis , Research Design
6.
Chinese Journal of Epidemiology ; (12): 603-607, 2022.
Article in Chinese | WPRIM | ID: wpr-935434

ABSTRACT

Capture-recapture method is an economical and straightforward method widely used in fields such as estimating population size and estimating and adjusting incidence or prevalence. This paper reviews the classical capture-recapture method and its improvement and application in population size estimation in referring the subsequent related work.


Subject(s)
Humans , Incidence , Population Density , Prevalence , Research Design
7.
Chinese Journal of Epidemiology ; (12): 572-577, 2022.
Article in Chinese | WPRIM | ID: wpr-935429

ABSTRACT

Among kinds of methods for causal inference in observational studies, the propensity score (PS) method to control measured confounding is more widely used. PS method usually consists of two critical steps: first, estimating the propensity score, followed by calculating the causal parameters of interest by regression, weighting, matching, and stratification. Unlike the traditional dichotomous treatment, the generalized propensity scoring estimator used for continuous treatment has been proposed in recent years. Many methods have been developed to estimate the generalized propensity score or even estimate the balancing weight directly. This paper introduces the existing estimators from both the model-based and balance-based perspectives.


Subject(s)
Causality , Computer Simulation , Humans , Propensity Score , Research Design
8.
Chinese Journal of Epidemiology ; (12): 409-417, 2022.
Article in Chinese | WPRIM | ID: wpr-935404

ABSTRACT

Concerns has been raised in improving the quality of adaptive design randomized trials reports. Based on the CONSORT 2010 (Consolidated Standards of Reporting Trials), The Adaptive designs CONSORT Extension (ACE) has developed items and reporting specifications for adaptive design trials. This paper presents a brief explanation of the extension and new items of ACE and introduces the applications of ACE checklist with examples.


Subject(s)
Checklist , Humans , Randomized Controlled Trials as Topic , Research Design , Research Report
9.
Article in Chinese | WPRIM | ID: wpr-935243

ABSTRACT

The toxicity data of chemicals and drugs increases rapidly, while the animal experimental-based tests method could not meet the current demand of health risk assessment. The high-throughput screening techniques based on in vitro alternative models, integrating with computational methods and information technology to establish toxicity tests strategy promises to address this problem. High-content screening (HCS) technology uses automated microscopy and quantitative image platforms to perform multi-parameter and high-throughput phenotypic analysis via a visualization and quantification manner, and to quickly and effectively assess toxicity and prioritization of chemicals, which promotes the development of in vitro toxicity tests and computational toxicology. HCS technology has been included as an important tool for Toxicity Testing in the 21st Century (Tox21) and chemical risk prioritization. Its applications have been widely utilized in the research field of toxicity tests and chemical toxicity mechanisms. In this review, we describe the development of HCS technology, technical points, toxicological applications, and the future directions and challenges of HCS, so as to provide references for the toxicity testing technology and risk assessment methodology.


Subject(s)
Animals , High-Throughput Screening Assays , Research Design , Risk Assessment , Toxicity Tests
10.
Article in Chinese | WPRIM | ID: wpr-941044

ABSTRACT

OBJECTIVE@#To propose a new method for mining complexes in dynamic protein network using spatiotemporal convolution neural network.@*METHODS@#The edge strength, node strength and edge existence probability are defined for modeling of the dynamic protein network. Based on the time series information and structure information on the graph, two convolution operators were designed using Hilbert-Huang transform, attention mechanism and residual connection technology to represent and learn the characteristics of the proteins in the network, and the dynamic protein network characteristic map was constructed. Finally, spectral clustering was used to identify the protein complexes.@*RESULTS@#The simulation results on several public biological datasets showed that the F value of the proposed algorithm exceeded 90% on DIP dataset and MIPS dataset. Compared with 4 other recognition algorithms (DPCMNE, GE-CFI, VGAE and NOCD), the proposed algorithm improved the recognition efficiency by 34.5%, 28.7%, 25.4% and 17.6%, respectively.@*CONCLUSION@#The application of deep learning technology can improve the efficiency in analysis of dynamic protein networks.


Subject(s)
Algorithms , Cluster Analysis , Computer Simulation , Neural Networks, Computer , Research Design
11.
Chinese Journal of Oncology ; (12): 587-592, 2022.
Article in Chinese | WPRIM | ID: wpr-940927

ABSTRACT

Single-arm trial refers to a clinical trial design that does not set up parallel control group, adopts open design, and does not involve randomization and blind method. These features, on the one hand, speed up the process of clinical trials, significantly shorten the time to market and meet the needs of patients with advanced malignancies, but also lead to the uncertainty of single-arm clinical trials themselves. Recently, the US Food and Drug Administration held a meeting of the oncologic drug advisory committee to discuss six tumor indications that have been accelerated approved, which once again triggered the discussion of single-arm trials. The basis of accelerated approval by single-arm trial is actually a compromise on the level of evidence-based medical evidence requirements after assessing the benefit risk. Therefore, the sponsor should strictly grasp the applicable conditions of single-arm trial in anti-tumor drugs and conduct single-arm trial scientifically. Post-marketing clinical trial should be implement as early as possible to ensure the benefit of patients. Based on the characteristics of single-arm trial, combined with two guidance relevant to single-arm trial issued by National Medical Products Administration recently, this article is supposed to propose and summarize the strategy of single-arm trial supporting the marketing of anti-tumor drugs.


Subject(s)
Antineoplastic Agents/therapeutic use , Clinical Trials as Topic , Humans , Marketing , Neoplasms/drug therapy , Research Design , United States , United States Food and Drug Administration
12.
Article in English | WPRIM | ID: wpr-928943

ABSTRACT

OBJECTIVES@#To investigate the effect of auriculotherapy on reducing labor anxiety.@*METHODS@#In this randomized clinical trial, 166 nulliparous pregnant women admitted to the Labor Ward of Izadi Hospital in Qom, Iran were included and assigned to two groups by randomized block design. In the intervention group (83 cases), auriculotherapy in "Shenmen, Thalamic, Zero, Brain, and Brain stem" was performed in dilatations of 4, 6 and 8 cm, between the contractions for 30 s in both ears at interval 1 h. While the control group received routine care. The Spielberger Inventory were completed pre- and post-interventions.@*RESULTS@#The auriculotherapy was effective to reduce anxiety state in the intervention group compared to the control group (P=0.001). The score of state anxiety in the intervention group reduced for 7.0, 8.0 and 11.0 U in 4, 6, and 8 cm dilatations after the intervention. The score of trait anxiety in the intervention group reduced for 3.8, 4.0 and 8.3 U in 4, 6, and 8 cm dilatations after the intervention. There was no significant difference of delivery mode and newborns' weight and Apgar score between groups (P>0.05). No adverse postpartum outcome such as hemorrhage has been observed in both groups.@*CONCLUSION@#Since most women are anxious during labor, it seems that auriculotherapy can be an easy and safe method to reduce labor anxiety. (Trial registration No. irct20121230011944n4).


Subject(s)
Anxiety/therapy , Auriculotherapy/methods , Female , Humans , Infant, Newborn , Labor, Obstetric , Pregnancy , Pregnant Women , Research Design
13.
Article in Chinese | WPRIM | ID: wpr-928909

ABSTRACT

Hyperbaric oxygen therapy is a method of breathing pure oxygen or high-concentration oxygen in a highpressure environment to treat hypoxic diseases and related diseases. According to clinical verification, this therapy has an irreplaceable effect on certain diseases and has gradually become a comprehensive clinical treatment. One of the main methods of certain diseases is widely recognized by the medical field at home and abroad. The development history, treatment principles, key technologies, and future development trends of hyperbaric oxygen are discussed in detail, provide a research direction for the development of hyperbaric oxygen therapy in the future, and at the same time, it has also improved physicians' awareness of hyperbaric oxygen therapy, so as to improving Industry influence.


Subject(s)
Hyperbaric Oxygenation , Oxygen/therapeutic use , Research Design
14.
Article in Chinese | WPRIM | ID: wpr-928168

ABSTRACT

Traditional Chinese medicine(TCM) carries the experience and theoretical knowledge of the ancients, and the use of "toxic" Chinese medicines is a major feature and advantage of TCM. "Toxic" Chinese medicines have unique clinical value and certain medication risk under the guidance of TCM theories such as compatibility for detoxification and treatment based on syndrome differentiation. In recent years, the safety events of Chinese medicines have occurred frequently, which has made the safety of Chinese medicine a public concern in China and abroad. However, limited by conventional cognitive laws and technical methods, basic research on toxicity of Chinese medicines fails to be combined with the clinical application. As a result, it is difficult to identify the clinical characteristics of, predict toxic and side effects of, or form a universal precise medication regimen for "toxic" Chinese medicines, which restricts the clinical application of them. In view of the problem that the toxicity of "toxic" Chinese medicines is difficult to be predicted and restricts the clinical application, the evidence-based research concept will provide new ideas for safe applcation of them in clinical practice. The integrated development of multiple disciplines and techniques in the field of big data and artificial intelligence will also promote the renewal and development of the research models for "toxic" Chinese medicines. Our team tried to propose the academic concept of evidence-based Chinese medicine toxicology and establish the data-intelligence research mode for "toxic" Chinese medicines and the intelligent risk prediction method for medicinal combination in the early stage, which provided methodological supports for solving the above problem. Thus, on the basis of summarizing the research status and problems of the clinical medication regimen of "toxic" Chinese medicines, our team took the evidence-based toxicology of TCM as the core concept, and tried to construct the multiple-evidence integrated evaluation and prediction method for "toxic" Chinese medicine, so as to guide the establishment of the non-toxic medication regimen of "toxic" Chinese medicines. Specifically, through the analysis of multivariate data obtained from the basic research, the evidence-based toxicology database of Chinese medicines and the individualized "toxicity-effect" intelligent prediction platform were built based on the disease-syndrome virtual patients, so as to identify the clinical characteristics and risks of "toxic" Chinese medicines and develop individualized medication regime. This study is expected to provide a methodological reference for the establishment of medication regimen and risk prevention strategy for "toxic" Chinese medicines. The method established in this study will bridge clinical research and basic research, enhance the transformation of the scientific connotation of attenuated compatibility, promote the development of evidence-based Chinese medicine toxicology, and ensure the clinical safety of "toxic" Chinese medicines.


Subject(s)
Artificial Intelligence , China , Drugs, Chinese Herbal/pharmacology , Humans , Medicine, Chinese Traditional , Research Design , Syndrome
15.
Article in Chinese | WPRIM | ID: wpr-928137

ABSTRACT

Toxicity-attenuating compatibility is an effective measure to ensure the safety of Chinese medicine. Involving the origin, processing method, compatibility mode, and dosage, it faces multiple challenges, such as the uncertainty of toxic substances, toxicity latency, indefinite safe dose, complex toxicity-efficacy relationship, and individual difference. As a result, research on clinical safety of Chinese medicine is limited by the consistency at "molecular-cellular-organ-overall" levels, unclear interaction of multiple medicinals and multiple substances, the "toxicity-efficacy-compatibility-syndrome" correlation, and the "dosage-time-toxicity-efficacy" conversion law. Therefore, following the principle of "starting from the clinical practice, verifying via the theoretical basis, and finally applying in clinical practice", we verified the toxicity at "molecular-cellular-organ-overall" levels, revealed the interaction of multiple medicinals and substances, collected evidence at multiple levels, clarified the "dosage-time-toxicity-efficacy" relationship, and tested the consistency between basic and clinical biomarkers. On this basis, we studied the toxicity-alleviating and efficacy-enhancing(preserving) compatibility characteristics, the fate of one medicinal and multiple medicinals in vivo, the molecular mechanism of toxicity, the "dosage-time-toxicity-efficacy" conversion law, and the clinical characteristics of toxic traditional Chinese medicine based on disease and syndrome. The three mechanisms of toxicity-attenuating compatibility reflect the seven-reaction theory in Chinese medicine compatibility. Finally, the strategies for safe use of Chinese medicine were proposed.


Subject(s)
Drugs, Chinese Herbal/toxicity , Medicine, Chinese Traditional , Research Design
16.
Article in Chinese | WPRIM | ID: wpr-928101

ABSTRACT

The "triple combination" review system provides an opportunity for the transformation of human use experience into new Chinese drugs. However, there are some methodological and technical limitations in the assessment of human experience. Hence, the efficacy and safety evaluation methods should be established in accordance with the characteristics of Chinese herbs. This study summarized some evidence-based methodology to promote the transformation of human use experience to new Chinese drugs, mainly including the individualized pragmatic randomized controlled trial(RCT), cluster RCT, single-case RCT, single arm RCT with objective performance criteria, and partially nested RCT. As the real world data can be used to support the transformation of human experience, attention should be paid to convenient and efficient collection of data, prudent selection of design types, and adoption of appropriate ana-lysis methods to deal with confounding bias, including multi-factor regression model and propensity score. The newly proposed mixed research method can also be utilized to assess the human use experience, which is suitable for mining the theory of traditional Chinese medicine(TCM) and expert experience from different aspects. Meanwhile, considering the study design requirements and TCM cha-racteristics, this study put forward the common problems and solutions in the development of new Chinese drugs based on human use experience, including how to select the feasible outcome indicators, how to collect prescription data in the case of herb and dosage adjustment, and how to evaluate the comprehensive effectiveness of TCM from the perspective of "combination of disease and syndrome".


Subject(s)
China , Drug Development , Drugs, Chinese Herbal/therapeutic use , Humans , Medicine, Chinese Traditional , Research Design
17.
Article in Chinese | WPRIM | ID: wpr-928038

ABSTRACT

The research on the processing mechanism of Chinese medicine is the key and core foundation to improve processing technologies of Chinese medicine, formulate the quality standards of Chinese medicinal pieces, enhance the clinical efficacy of Chinese medicine, enrich Chinese medicine processing theories, and promote the development of Chinese medicine processing. Many researc-hers have conducted in-depth exploration on the processing mechanism of Chinese medicine in the 20 years in the 21 st century. Significant progress has been made in the transformation of chemical components during the processing, the change of active components in the body, the law of toxicity attenuation in the processing of toxic Chinese medicine, the mechanism of efficacy enhancement and toxicity attenuation of processing with auxiliary materials, and the application of new biomedical technologies. At present, the processing mechanism of multiple Chinese medicines has been preliminarily clarified, which has greatly promoted the development of Chinese me-dicine processing. The development of the processing mechanism of Chinese medicine reveals that the in vitro transformation of chemical components is combined with the in vivo absorption, transport, and metabolism, and the macroscopic biological effects of the organism are combined with the cells, molecules, targets, and pathways in the study of the processing mechanism of Chinese medicine. More attention has been paid to exploring the processing mechanism from the overall level, and a modern systematic research system on the processing mechanism of Chinese medicine has been initially formed. To further promote the scientific development of Chinese me-dicine processing, the present study proposed that the research on the processing mechanism of Chinese medicine should take Chinese medicine properties into account, focus on the influence of disease condition on the mode of action and effect strength of the drugs, comply with the characteristics of clinical compound compatibility of Chinese medicine, use the holistic view research strategies of systems bio-logy, and deeply explore the processing mechanism of Chinese medicine from traditional Chinese medicine theories and the characteristics of clinical medication of Chinese medicine.


Subject(s)
Drugs, Chinese Herbal/pharmacology , Medicine, Chinese Traditional , Reference Standards , Research Design , Technology
18.
Article in Chinese | WPRIM | ID: wpr-927965

ABSTRACT

The purpose of the study is to analyze the outcomes of randomized controlled trial(RCT) of Chinese herbal medicine formula(CHMF) in the treatment of gastrointestinal dysfunction in sepsis in recent two years. We systematically searched four Chinese databases, three English databases, and two clinical trial registries to analyze the reports of outcome indicators of clinical trials, and evaluated the risk of bias by using the ROB tool of Cochrane Collaboration. After screening, 55 clinical RCTs were included. The results showed that the current clinical studies of gastrointestinal dysfunction in sepsis reported the efficacy and safety indicators. The efficacy indicators included APACHE Ⅱ scores, gastrointestinal dysfunction scores, bowel sound scores, and inflammatory indicator such as C-reactive protein and procalcitonin. The safety indicators mainly include gastrointestinal reactions, skin reactions, and other adverse events and adverse reactions. However, there was no distinction between primary and secondary outcomes. The relevant indicators of health economics were not reported, and the quality of research methodology was poor. Therefore, we suggest that future researchers should be well prepared in the top-level design stage and actively construct the core outcome set, so as to improve the quality of clinical trials.


Subject(s)
Drugs, Chinese Herbal/therapeutic use , Gastrointestinal Diseases/drug therapy , Humans , Medicine, Chinese Traditional , Randomized Controlled Trials as Topic , Research Design , Sepsis/drug therapy
19.
Article in Chinese | WPRIM | ID: wpr-927932

ABSTRACT

Since narrative medicine was introduced in China, it has been widely used in medical education and clinical practice. The research on narrative medicine in China is especially characterized by its combination with traditional Chinese medicine(TCM). At present, the research on narrative medicine in China is still in the stage of small-scale practicing and theory advocating. Besides, there is also a lack of guidance on experimental design methodology for clinical application, which leads to few high-quality studies in this field. The present study reviewed the current high-quality research on narrative medicine to discuss the value and prospects of mixed methods research in narrative medicine. In addition, the common design, application procedures, and notes of mixed methods research were explained to provide references for the extensive applications of narrative medicine in the medical field, especially TCM clinical practice, education, and scientific research.


Subject(s)
China , Drugs, Chinese Herbal , Medicine, Chinese Traditional , Narrative Medicine , Research Design
20.
Article in Chinese | WPRIM | ID: wpr-927906

ABSTRACT

Traditional Chinese medicine(TCM) has unique advantages in the prevention and treatment of diseases owing to its holistic view and more than 2 000 years of experience in the clinical use of natural medicine. The "holistic" characteristic of TCM gives birth to a new generation of research paradigm featuring "network" and "system", which has been developing rapidly in the era of biomedical big data and artificial intelligence. Network pharmacology, a representative research field, provides new ideas and methods for the research of the interdiscipline of artificial intelligence and medicine, the analysis of massive biomedical data, and the transformation from data to knowledge. TCM plays an important role in proposing the core theory of "network target" and promoting the establishment and development of network pharmacology, and has taken the lead in formulating the first international standard of network pharmacology--Network Pharmacology Evaluation Method Guidance. In terms of theory, network target can systematically link drugs and diseases and quantitatively interpret the overall regulatory mechanism of drugs. In the aspect of method, network pharmacology is developing towards a research model that combines computational, experimental, and clinical approaches. This review introduces the resent important progress of TCM network pharmacology in predicting drug targets, understanding the biological basis of drugs and diseases, and searching for disease and syndrome biomarkers. Under the guidance of Network Pharmacology Evaluation Method Guidance, the development of network pharmacology is expected to become more and more standardized and healthy. Network target will help produce more high-quality research outcomes in TCM and effectively boost the modernization and internationalization of TCM.


Subject(s)
Artificial Intelligence , Drugs, Chinese Herbal/pharmacology , Medicine, Chinese Traditional , Network Pharmacology , Research Design
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