Evidence map›Paper›PMID 34853905›Full record

ReviewIntensive care medicine2022

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

Anders Granholm, Waleed Alhazzani, Lennie P G Derde, Derek C Angus, Fernando G Zampieri, Naomi E Hammond, Rob Mac Sweeney, Sheila N Myatra, Elie Azoulay, Kathryn Rowan and 3 more

Abstract readReview
In one paragraph

Review in Intensive care medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 7 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

65 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
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  8. Trial
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  11. Review
  12. Optimizing endpoints in early phase clinical trials of acute respiratory distress syndrome.American journal of respiratory and critical care medicine · 2026
    Article
  13. Article
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5 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Anders GranholmDepartment of Intensive Care, Rigshospitalet, University of Copenhagen, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen, Denmark. andersgran@gmail.com.ORCID http://orcid.org/0000-0001-5799-7655
Waleed AlhazzaniDepartment of Medicine, McMaster University, Hamilton, Canada.
Lennie P G DerdeDepartment of Intensive Care Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Derek C AngusUPMC and University of Pittsburgh Schools of the Health Sciences, Pittsburgh, PA, USA.
Fernando G ZampieriIntensive Care Unit, Federal University of Sao Paulo, Sao Paulo, Brazil.
Naomi E HammondCritical Care Division, The George Institute for Global Health and UNSW, Sydney, Australia.
Rob Mac SweeneyRegional Intensive Care Unit, Royal Victoria Hospital, Belfast, Northern Ireland, UK.
Sheila N MyatraDepartment of Anaesthesiology, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India.
Elie AzoulayCritical Care Department, Saint-Louis Hospital, Paris, France.
Kathryn RowanIntensive Care National Audit and Research Centre, London, UK.
Paul J YoungMedical Research Institute of New Zealand, Wellington, New Zealand.
Anders PernerDepartment of Intensive Care, Rigshospitalet, University of Copenhagen, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen, Denmark.
Morten Hylander MøllerDepartment of Intensive Care, Rigshospitalet, University of Copenhagen, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Critical CareAdaptive Clinical Trials as TopicHumansRandomized Controlled Trials as TopicClinical trialsCritical careIntensive careRandomized clinical trials

Identifiers

PMID34853905
PMCPMC8636283

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.