Evidence map›Paper›PMID 42147735›Full record

ArticleClinical epidemiology2026

Logistical Challenges in Platform Randomized Trials - Operational Realities That Curb the Promise of Efficiency.

Kristian Thorlund, Jay J H Park, Matt P Wise, Brett Doleman, Johanne Juul Petersen, Theis Lange, Ole Mathiesen, Markus B Skrifvars, Manoj Saxena, Niklas Nielsen and 3 more

Abstract read
In one paragraph

Article in Clinical epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kristian ThorlundDepartment Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.ORCID 0000-0001-5848-3111
Jay J H ParkDepartment Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Matt P WiseAdult Critical Care, University Hospital of Wales, Cardiff, UK.
Brett DolemanSchool of Medicine, University of Nottingham, Nottingham, UK.
Johanne Juul PetersenCopenhagen Trial Unit, Centre for Clinical Intervention Research, Copenhagen University Hospital Rigshospitalet, Copenhagen Ø, Denmark.
Theis LangeDepartment of Public Health, Copenhagen University, Copenhagen, Denmark.
Ole MathiesenCentre for Anaesthesiological Research, Department Anaesthesiology, Zealand University Hospital, Koege, Denmark.
Markus B SkrifvarsDepartment of Anaesthesiology and Intensive Care Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Manoj SaxenaFaculty of Medicine, UNSW, Sydney, Australia.
Niklas NielsenDepartment of Clinical Sciences Lund, Lund University, Lund, Sweden.
Edward J MillsDepartment Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Johannes GrandCopenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Janus C JakobsenCopenhagen Trial Unit, Centre for Clinical Intervention Research, Copenhagen University Hospital Rigshospitalet, Copenhagen Ø, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Platform randomized trials offer a flexible framework for evaluating multiple therapies within a shared long-term infrastructure, yet their implementation poses substantial logistical and operational challenges. This paper examines three interrelated features that frequently determine the feasibility and efficiency of platform trials: 1) infrastructure and setup costs; 2) training, site management, and partial center participation; and 3) adapting to changing clinical practice and diagnostic criteria. While platform designs are often promoted for their efficiency, the establishment and maintenance of long-term infrastructure require greater upfront investment, more complex governance structures, and ongoing retraining compared to conventional randomized trials. Site heterogeneity and partial participation can create inconsistencies in implementation, data quality, and recruitment momentum. Over the long term, evolving standards of care and diagnostic definitions further complicate cross-arm comparability and risk introducing time-confounding. Rather than assuming platform trials are inherently more efficient, we argue that their success depends on sustained resourcing, harmonization efforts, sustained dedication from trial sites, and a robust training infrastructure. To address these challenges, we describe a trial-to-platform approach: a phased strategy in which a conventional multicenter trial is launched with modular, expandable systems that can later evolve to a platform trial. This approach allows for early learning, milestone-based funding, harmonization before full expansion, thereby reducing cost inefficiency and operational drift. Practical recommendations are provided for funders and trialists on how to structure, resource, and govern platforms to ensure scalability, reproducibility, and long-term sustainability.

Indexed as

clinical trial logistics: trial-to-platform approachplatform trialsprotocol adaptations

Identifiers

PMID42147735
PMCPMC13178489

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.