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Quantitative Consensus in Systematic Reviews: Current and Future Challenges in Translational Science

Translational science conceptualizes healthcare as a concerted set of processes that integrate research findings from the bench to the bedside. This model of healthcare is effectiveness-focused, patient-centered, and evidence-based, and yields evidence-based revisions of practice-based guidelines, w...

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Detalles Bibliográficos
Autores principales: Chiappelli, Francesco, Kasar, Vandan R., Balenton, Nicole, Khakshooy, Allen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5879943/
https://www.ncbi.nlm.nih.gov/pubmed/29618905
http://dx.doi.org/10.6026/97320630014086
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author Chiappelli, Francesco
Kasar, Vandan R.
Balenton, Nicole
Khakshooy, Allen
author_facet Chiappelli, Francesco
Kasar, Vandan R.
Balenton, Nicole
Khakshooy, Allen
author_sort Chiappelli, Francesco
collection PubMed
description Translational science conceptualizes healthcare as a concerted set of processes that integrate research findings from the bench to the bedside. This model of healthcare is effectiveness-focused, patient-centered, and evidence-based, and yields evidence-based revisions of practice-based guidelines, which emerge from research synthesis protocols in comparative effectiveness research that are disseminated in systematic reviews. Systematic reviews produce qualitative and quantitative consensi of the best available evidence. The quantitative consensus is derived from meta-analysis protocols that are often achieved by probabilistic approach Bayesian statistical models.
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spelling pubmed-58799432018-04-04 Quantitative Consensus in Systematic Reviews: Current and Future Challenges in Translational Science Chiappelli, Francesco Kasar, Vandan R. Balenton, Nicole Khakshooy, Allen Bioinformation Review Translational science conceptualizes healthcare as a concerted set of processes that integrate research findings from the bench to the bedside. This model of healthcare is effectiveness-focused, patient-centered, and evidence-based, and yields evidence-based revisions of practice-based guidelines, which emerge from research synthesis protocols in comparative effectiveness research that are disseminated in systematic reviews. Systematic reviews produce qualitative and quantitative consensi of the best available evidence. The quantitative consensus is derived from meta-analysis protocols that are often achieved by probabilistic approach Bayesian statistical models. Biomedical Informatics 2018-02-28 /pmc/articles/PMC5879943/ /pubmed/29618905 http://dx.doi.org/10.6026/97320630014086 Text en © 2018 Biomedical Informatics http://creativecommons.org/licenses/by/3.0/ This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
spellingShingle Review
Chiappelli, Francesco
Kasar, Vandan R.
Balenton, Nicole
Khakshooy, Allen
Quantitative Consensus in Systematic Reviews: Current and Future Challenges in Translational Science
title Quantitative Consensus in Systematic Reviews: Current and Future Challenges in Translational Science
title_full Quantitative Consensus in Systematic Reviews: Current and Future Challenges in Translational Science
title_fullStr Quantitative Consensus in Systematic Reviews: Current and Future Challenges in Translational Science
title_full_unstemmed Quantitative Consensus in Systematic Reviews: Current and Future Challenges in Translational Science
title_short Quantitative Consensus in Systematic Reviews: Current and Future Challenges in Translational Science
title_sort quantitative consensus in systematic reviews: current and future challenges in translational science
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5879943/
https://www.ncbi.nlm.nih.gov/pubmed/29618905
http://dx.doi.org/10.6026/97320630014086
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