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Randomised clinical trials in critical care: past, present and future.

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TLDR
In this article, the authors provide an overview of the history of RCT and discuss the major challenges and limitations of current critical care RCTs, including overly optimistic effect sizes; unnuanced conclusions based on dichotomization of results; limited focus on patient-centred outcomes other than mortality; lack of flexibility and ability to adapt, increasing the risk of inconclusive results and limiting knowledge gains before trial completion; and inefficiency due to lack of re-use of trial infrastructure.
Abstract
Randomised clinical trials (RCTs) are the gold standard for providing unbiased evidence of intervention effects. Here, we provide an overview of the history of RCTs and discuss the major challenges and limitations of current critical care RCTs, including overly optimistic effect sizes; unnuanced conclusions based on dichotomization of results; limited focus on patient-centred outcomes other than mortality; lack of flexibility and ability to adapt, increasing the risk of inconclusive results and limiting knowledge gains before trial completion; and inefficiency due to lack of re-use of trial infrastructure. We discuss recent developments in critical care RCTs and novel methods that may provide solutions to some of these challenges, including a research programme approach (consecutive, complementary studies of multiple types rather than individual, independent studies), and novel design and analysis methods. These include standardization of trial protocols; alternative outcome choices and use of core outcome sets; increased acceptance of uncertainty, probabilistic interpretations and use of Bayesian statistics; novel approaches to assessing heterogeneity of treatment effects; adaptation and platform trials; and increased integration between clinical trials and clinical practice. We outline the advantages and discuss the potential methodological and practical disadvantages with these approaches. With this review, we aim to inform clinicians and researchers about conventional and novel RCTs, including the rationale for choosing one or the other methodological approach based on a thorough discussion of pros and cons. Importantly, the most central feature remains the randomisation, which provides unparalleled restriction of confounding compared to non-randomised designs by reducing confounding to chance.

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References
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TL;DR: In patients hospitalized with Covid-19, the use of dexamethasone resulted in lower 28-day mortality among those who were receiving either invasive mechanical ventilation or oxygen alone at randomization but not among those receiving no respiratory support.
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The ASA's Statement on p-Values: Context, Process, and Purpose

TL;DR: The American Statistical Association (ASA) released a policy statement on p-values and statistical significance in 2015 as discussed by the authors, which was based on a discussion with the ASA Board of Trustees and concerned with reproducibility and replicability of scientific conclusions.
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From best evidence to best practice: effective implementation of change in patients' care

Richard Grol, +1 more
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TL;DR: In this article, the authors provide an overview of present knowledge about initiatives to changing medical practice and suggest that to change behaviour is possible, but this change generally requires comprehensive approaches at different levels (doctor, team practice, hospital, wider environment), tailored to specific settings and target groups.
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A comparison of albumin and saline for fluid resuscitation in the intensive care unit

TL;DR: In patients in the ICU, use of either 4 percent albumin or normal saline for fluid resuscitation results in similar outcomes at 28 days, with no significant differences between the groups.
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The cost of dichotomising continuous variables

TL;DR: The impact of converting continuous data to two groups (dichotomising) is considered, as this is the most common approach in clinical research.
Trending Questions (1)
What are the limitations of rcts?

Limitations of RCTs in critical care include optimistic effect sizes, dichotomization of results, limited patient-centered outcomes, lack of adaptability, and inefficiency due to trial infrastructure underutilization.