Titre : Méthode en double aveugle

Méthode en double aveugle : Questions médicales fréquentes

Termes MeSH sélectionnés :

Cluster Analysis
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d'observation." } }, { "@type": "Question", "name": "Quels tests utilisent la méthode en double aveugle ?", "position": 2, "acceptedAnswer": { "@type": "Answer", "text": "Des essais cliniques pour tester des médicaments ou des interventions." } }, { "@type": "Question", "name": "Les symptômes sont-ils évalués en double aveugle ?", "position": 3, "acceptedAnswer": { "@type": "Answer", "text": "Oui, cela permet d'éviter que les attentes influencent les rapports de symptômes." } }, { "@type": "Question", "name": "Comment les symptômes sont-ils mesurés en double aveugle ?", "position": 4, "acceptedAnswer": { "@type": "Answer", "text": "Par des échelles standardisées, sans que les évaluateurs sachent le traitement reçu." } }, { "@type": "Question", "name": "La méthode en double aveugle est-elle utilisée en prévention ?", "position": 5, "acceptedAnswer": { "@type": "Answer", "text": "Oui, pour évaluer l'efficacité des vaccins ou des interventions préventives." } }, { "@type": "Question", 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"Comment les complications sont-elles rapportées ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "Par des rapports standardisés, sans que les évaluateurs sachent le traitement reçu." } }, { "@type": "Question", "name": "La méthode en double aveugle évalue-t-elle les facteurs de risque ?", "position": 11, "acceptedAnswer": { "@type": "Answer", "text": "Indirectement, en contrôlant les variables pour isoler l'effet du traitement." } }, { "@type": "Question", "name": "Comment les facteurs de risque sont-ils pris en compte ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "En randomisant les participants pour équilibrer les caractéristiques entre groupes." } } ] } ] }

Sources (10000 au total)

Mapping, clustering, and analysis of research in psychiatric genomics.

The distribution pattern and knowledge structure of psychiatric genomics were surveyed based on literature dealing with both psychiatry and genomics/genetics. Coword analysis and bibliographic couplin... The data were analyzed using coword analysis and clustering methods using Sci2 and VOSviewer.... Analysis of ~3800 records showed that psychiatric genomics is, as expectedly, covered largely under biomedical subjects with a visible interest in other disciplines such as humanities and ethics. A co... 'Schizophrenia', 'depression', 'pharmacogenomics', and 'immunopathogenesis' were the research topics of overarching interest. 'Gut-brain axis' and 'gene-environment interaction' were the emerging topi...

CAGECAT: The CompArative GEne Cluster Analysis Toolbox for rapid search and visualisation of homologous gene clusters.

Co-localized sets of genes that encode specialized functions are common across microbial genomes and occur in genomes of larger eukaryotes as well. Important examples include Biosynthetic Gene Cluster... The comparative gene cluster analysis toolbox (CAGECAT) is a rapid and user-friendly platform to mitigate difficulties in comparative analysis of whole gene clusters. The software provides homology se... Overall, CAGECAT is an extensible software that can be interfaced via a standard web-browser for whole region homology searches and comparison on continually updated genomes from NCBI. The public web ...

A topographical analysis of encephalocele locations: generation of a standardised atlas and cluster analysis.

Encephaloceles are considered to result from defects in the developing skull through which meninges, and potentially brain tissue, herniate. The pathological mechanism underlying this process is incom... Patients diagnosed with cranial encephaloceles or meningoceles were identified from a prospectively maintained database between 1984 and 2021. Images were transformed to atlas space using non-linear r... Of the 124 patients identified, 55 had volumetric imaging in the form of MRI (48/55) or CT (7/55) that could be used for atlas generation. Median encephalocele volume was 14,704 (IQR 3655-86,746) mm... This analysis revealed three predominant clusters for the location of encephaloceles, with the parieto-occipital junction being the most common. The stereotypic location of encephaloceles into anatomi...

Phenotyping of atrial fibrillation with cluster analysis and external validation.

Atrial fibrillation (AF) is a heterogeneous condition. We performed a cluster analysis in a cohort of patients with AF and assessed the prognostic implication of the identified cluster phenotypes.... We used two multicentre, prospective, observational registries of AF: the SAKURA AF registry (Real World Survey of Atrial Fibrillation Patients Treated with Warfarin and Non-vitamin K Antagonist Oral ... The analysis subclassified derivation cohort patients into five clusters. Cluster 1 (n=414, 13.6%) was characterised by younger men with a low prevalence of comorbidities; cluster 2 (n=1003, 32.8%) by... Machine learning-based cluster analysis identified five different phenotypes of AF with unique clinical characteristics and different clinical outcomes. The use of these phenotypes may help identify h...

Clinical phenotypes of chronic cough categorised by cluster analysis.

Chronic cough is a heterogeneous disease with various aetiologies that are difficult to determine. Our study aimed to categorise the phenotypes of chronic cough.... Adult patients with chronic cough were assessed based on the characteristics and severity of their cough using the COugh Assessment Test (COAT) and the Korean version of the Leicester Cough Questionna... In total, 255 participants were included in the analysis. Based on the correlation network, age, score for each item, and total COAT score were selected for the cluster analysis. Four clusters were id... Cluster analysis of age, score for each item, and total COAT score identified 4 distinct phenotypes of chronic cough with significant differences in the aetiologies. Subgrouping patients with chronic ...

Heterogeneity of asthma with nasal polyposis phenotypes: A cluster analysis.

Chronic rhinosinusitis with nasal polyposis (CRSwNP) affects a significant number of asthmatic patients and is notably associated with a more difficult-to-control asthma and marked inflammation. We ne... The aim of this study is to identify and characterize subphenotypes of asthma patients with CRSwNP using clinical, physiological and inflammatory variables.... K-means cluster analysis was performed on 17 clinical, physiological, and inflammatory variables from 1263 patients of all asthma severity and on a subpopulation of patients with asthma and CRSwNP. St... On the overall population, three groups were identified. Cluster T1 (n = 708) are young, have a short asthma duration and a low prevalence of CRSwNP. Cluster T2 (n = 263) have the longest asthma durat... Despite coexistence of asthma and CRSwNP, not all patients have the same evolution of their asthma. Different phenotypes of asthma with CRSwNP can be identified and exploration of the characteristics ...