About: Contemporary strategies to improve clinical trial design for critical care research: insights from the First Critical Care Clinical Trialists Workshop

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Contemporary strategies to improve clinical trial design for critical care research: insights from the First Critical Care Clinical Trialists Workshop Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Contemporary strategies to improve clinical trial design for critical care research: insights from the First Critical Care Clinical Trialists Workshop
Creator	Jaber, Samir Marshall, John Matthay, Michael Gong, Michelle Self, Wesley Rice, Todd Harhay, Michael Laterre, Pierre-François Mebazaa, Alexandre Casey, Jonathan Clement, Marina Collins, Sean Gayat, Étienne Monroe, Rhonda Rubin, Eileen
Source	PMC
abstract	BACKGROUND: Conducting research in critically-ill patient populations is challenging, and most randomized trials of critically-ill patients have not achieved pre-specified statistical thresholds to conclude that the intervention being investigated was beneficial. METHODS: In 2019, a diverse group of patient representatives, regulators from the USA and European Union, federal grant managers, industry representatives, clinical trialists, epidemiologists, and clinicians convened the First Critical Care Clinical Trialists (3CT) Workshop to discuss challenges and opportunities in conducting and assessing critical care trials. Herein, we present the advantages and disadvantages of available methodologies for clinical trial design, conduct, and analysis, and a series of recommendations to potentially improve future trials in critical care. CONCLUSION: The 3CT Workshop participants identified opportunities to improve critical care trials using strategies to optimize sample size calculations, account for patient and disease heterogeneity, increase the efficiency of trial conduct, maximize the use of trial data, and to refine and standardize the collection of patient-centered and patient-informed outcome measures beyond mortality. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00134-020-05934-6) contains supplementary material, which is available to authorized users.
has issue date	2020-02-18(xsd:dateTime)
bibo:doi	10.1007/s00134-020-05934-6
bibo:pmid	32072303
has license	no-cc
sha1sum (hex)	36b7f55f78139c22d9ef44100b002f1ec3e0027d
schema:url	https://doi.org/10.1007/s00134-020-05934-6
resource representing a document's title	Contemporary strategies to improve clinical trial design for critical care research: insights from the First Critical Care Clinical Trialists Workshop
has PubMed Central identifier	PMC7224097
has PubMed identifier	32072303
schema:publication	Intensive Care Med
resource representing a document's body	covid:36b7f55f78139c22d9ef44100b002f1ec3e0027d#body_text
is schema:about of	named entity 'insights' named entity 'critical care' named entity 'patients' named entity 'Background' named entity 'beneficial' named entity 'Conducting' named entity 'critical care' named entity 'clinical trial' named entity 'data sharing' named entity 'critical care' named entity 'Prognostic' named entity 'critical care' named entity 'clinically significant' named entity 'primary outcome measure' named entity 'critically ill' named entity 'immunocompromised' named entity 'control arm' named entity 'Bayesian inference' named entity 'Nature' named entity 'Meta-Analysis' named entity 'cardiovascular disease' named entity 'outcome measure' named entity 'data sharing' named entity 'data sharing' named entity 'EOLIA' named entity 'trial adaptations' named entity 'core outcome' named entity 'absolute risk' named entity 'data sharing' named entity 'data sharing' named entity 'sample size' named entity 'ICU' named entity 'randomize' named entity 'likelihood function' named entity 'corticosteroids' named entity 'morbidity' named entity 'electronic health records' named entity 'sample size calculations' named entity 'prior distributions' named entity 'trial design' named entity 'critical illness' named entity 'statistical modeling' named entity 'pneumonia' named entity 'randomizes' named entity 'sample size' named entity 'trial design' named entity 'null hypothesis' named entity 'organ support' named entity 'critical care' named entity 'ICU' named entity 'critical illness' named entity 'long-term goal' named entity 'critical care' named entity 'clinically significant' named entity 'unblinding' named entity 'morbidity' named entity 'dichotomous' named entity 'rheumatologic disease' named entity 'critical care' named entity 'RCT' named entity 'National Institutes of Health' named entity 'The American Statistician' named entity 'posterior probability' named entity 'statistical power' named entity 'Prior data' named entity 'pneumonia' named entity 'probability'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software