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Leveraging observational data to identify targeted patient populations for future randomized trials

Randomized controlled trials reported in the literature are often affected by poor generalizability, and pragmatic trials have become an increasingly utilized workaround approach to overcome logistical limitations and explore routine interventions demonstrating equipoise in clinical practice. Intrav...

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Autores principales: Lazzareschi, Daniel V., Fong, Nicholas, Pirracchio, Romain, Mathis, Michael R., Legrand, Matthieu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187375/
https://www.ncbi.nlm.nih.gov/pubmed/37205590
http://dx.doi.org/10.21203/rs.3.rs-2641628/v1
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author Lazzareschi, Daniel V.
Fong, Nicholas
Pirracchio, Romain
Mathis, Michael R.
Legrand, Matthieu
author_facet Lazzareschi, Daniel V.
Fong, Nicholas
Pirracchio, Romain
Mathis, Michael R.
Legrand, Matthieu
author_sort Lazzareschi, Daniel V.
collection PubMed
description Randomized controlled trials reported in the literature are often affected by poor generalizability, and pragmatic trials have become an increasingly utilized workaround approach to overcome logistical limitations and explore routine interventions demonstrating equipoise in clinical practice. Intravenous albumin, for example, is commonly administered in the perioperative setting despite lacking supportive evidence. Given concerns for cost, safety, and efficacy, randomized trials are needed to explore the clinical equipoise of albumin therapy in this setting, and we therefore present an approach to identifying populations exposed to perioperative albumin to encourage clinical equipoise in patient selection and optimize study design for clinical trials.
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spelling pubmed-101873752023-05-17 Leveraging observational data to identify targeted patient populations for future randomized trials Lazzareschi, Daniel V. Fong, Nicholas Pirracchio, Romain Mathis, Michael R. Legrand, Matthieu Res Sq Article Randomized controlled trials reported in the literature are often affected by poor generalizability, and pragmatic trials have become an increasingly utilized workaround approach to overcome logistical limitations and explore routine interventions demonstrating equipoise in clinical practice. Intravenous albumin, for example, is commonly administered in the perioperative setting despite lacking supportive evidence. Given concerns for cost, safety, and efficacy, randomized trials are needed to explore the clinical equipoise of albumin therapy in this setting, and we therefore present an approach to identifying populations exposed to perioperative albumin to encourage clinical equipoise in patient selection and optimize study design for clinical trials. American Journal Experts 2023-05-05 /pmc/articles/PMC10187375/ /pubmed/37205590 http://dx.doi.org/10.21203/rs.3.rs-2641628/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Lazzareschi, Daniel V.
Fong, Nicholas
Pirracchio, Romain
Mathis, Michael R.
Legrand, Matthieu
Leveraging observational data to identify targeted patient populations for future randomized trials
title Leveraging observational data to identify targeted patient populations for future randomized trials
title_full Leveraging observational data to identify targeted patient populations for future randomized trials
title_fullStr Leveraging observational data to identify targeted patient populations for future randomized trials
title_full_unstemmed Leveraging observational data to identify targeted patient populations for future randomized trials
title_short Leveraging observational data to identify targeted patient populations for future randomized trials
title_sort leveraging observational data to identify targeted patient populations for future randomized trials
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187375/
https://www.ncbi.nlm.nih.gov/pubmed/37205590
http://dx.doi.org/10.21203/rs.3.rs-2641628/v1
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