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ArticleActa anaesthesiologica Scandinavica2025

INCEPT: The Intensive Care Platform Trial-Design and protocol.

Anders Granholm, Morten Hylander Møller, Benjamin Skov Kaas-Hansen, Aksel Karl Georg Jensen, Marie Warrer Munch, Maj-Brit Nørregaard Kjær, Lars Wiuff Andersen, Olav Lilleholt Schjørring, Bodil Steen Rasmussen, Tine Sylvest Meyhoff and 26 more

Abstract readClinical Trial Protocol
In one paragraph

Article in Acta anaesthesiologica Scandinavica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

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  10. INCEPT: The Intensive Care Platform Trial-Design and protocol.Acta anaesthesiologica Scandinavica · 2025
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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

36 authors.

Anders GranholmDepartment of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.ORCID 0000-0001-5799-7655
Morten Hylander MøllerDepartment of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.
Benjamin Skov Kaas-HansenDepartment of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.ORCID 0000-0003-1023-0371
Aksel Karl Georg JensenDepartment of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.
Marie Warrer MunchDepartment of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.ORCID 0000-0003-1127-9599
Maj-Brit Nørregaard KjærDepartment of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.ORCID 0000-0002-6536-0504
Lars Wiuff AndersenDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.ORCID 0000-0001-5752-8082
Olav Lilleholt SchjørringCollaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark.ORCID 0000-0002-7749-6003
Bodil Steen RasmussenCollaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark.ORCID 0000-0003-2190-145X
Tine Sylvest MeyhoffDepartment of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.ORCID 0000-0002-1840-1596
Rikke Faebo LarsenDepartment of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.
Hans-Christian Thorsen-MeyerDepartment of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.
Marie Oxenbøll ColletDepartment of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.ORCID 0000-0002-8387-3960
Nick Frørup MeierDepartment of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.ORCID 0009-0006-4761-3228
Stine EstrupDepartment of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.
Ole MathiesenCollaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark.ORCID 0000-0003-4544-0619
Mathias MaagaardDepartment of Anaesthesiology and Intensive Care, Zealand University Hospital, Køge, Denmark.ORCID 0000-0002-9037-7295
Lone Musaeus PoulsenCollaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark.
Thomas StrømCollaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark.
Steffen ChristensenDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Camilla Rahbek Lysholm BruunDepartment of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.
Frederik KeusCollaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark.
Peter RossingDepartment of Clinical Medicine, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
Asger GranfeldtDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Anne Craveiro BrøchnerCollaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark.ORCID 0000-0001-6453-6152
Theis Skovsgaard ItenovCollaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark.
Maria CronhjortCollaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark.
Jon Henrik LaakeCollaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark.
Johanna HästbackaCollaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark.
Carmen Andrea PfortmuellerCollaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark.
Martin SiegemundCollaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark.ORCID 0000-0002-2013-4140
Martin Ingi SigurdssonCollaboration for Research in Intensive Care (CRIC), Copenhagen, Denmark.
Lars Peter Kloster AndersenDepartment of Clinical Medicine, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
Davide PlacidoDepartment of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.
Theis LangeSection of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-1204-3636
Anders PernerDepartment of Intensive Care, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.

Funding

Dagmar Marshalls FondDanmarks Frie ForskningsfondGrosserer Jakob Ehrenreich og Hustru Grete Ehrenreichs FondNovo Nordisk FondenSavværksejer Jeppe Juhl og hustru Ovita Juhls MindelegatSygeforsikringen 'danmark'
6 · The paper itself

Abstract

backgroundAdult intensive care unit (ICU) patients receive many interventions, but few are supported by high-certainty evidence. Randomised clinical trials (RCTs) are essential for trustworthy comparisons of intervention effects, but conventional RCTs are costly, cumbersome, inflexible, and often turn out inconclusive. Adaptive platform trials may mitigate these issues and have higher probabilities of obtaining conclusive results faster and at lower costs per participant.

methodsThe Intensive Care Platform Trial (INCEPT) is an investigator-initiated, pragmatic, randomised, embedded, multifactorial, international, adaptive platform trial including adults acutely admitted to ICUs. INCEPT will assess comparable groups of interventions (primarily commonly used interventions with clinical uncertainty and practice variation) nested in domains. Interventions may be either open-label or masked. New domains will continuously be added to the platform. INCEPT assesses multiple core outcomes selected following substantial stakeholder involvement: mortality, days alive without life support/out of hospital/free of delirium, health-related quality of life, cognitive function, and safety outcomes. Each domain will use one of these core outcomes as the primary outcome. INCEPT primarily uses Bayesian statistical methods with neutral, minimally informative or sceptical priors, adjustment for important prognostic baseline variables, and calculation of absolute and relative differences in the intention-to-treat populations. Domains and intervention arms may be stopped for superiority/inferiority, practical equivalence, or futility according to pre-specified adaptation rules evaluated using statistical simulation or at pre-specified maximum sample sizes. Domains may use response-adaptive randomisation, meaning that more participants will be allocated to interventions with higher probabilities of being superior.

conclusionsINCEPT provides an efficient, pragmatic, and flexible platform for comparing the effects of many interventions used in adult ICU patients. The adaptive design enables the trial to use accumulating data to improve the treatment of future participants. INCEPT will provide high-certainty, conclusive evidence for many interventions, directly inform clinical practice, and thus improve patient-important outcomes.

Indexed as

Critical CareIntensive Care UnitsRandomized Controlled Trials as TopicAdultBayes TheoremHumansPragmatic Clinical Trials as TopicQuality of LifeResearch Designadaptive platform trialintensive carerandomised clinical trialtrial protocol

Identifiers

PMID40084471
PMCPMC11907384

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Registered trials

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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.