Evidence map›Paper›PMID 33506495›Full record

ReviewClinical pharmacology and therapeutics2021

Collaborative Platform Trials to Fight COVID-19: Methodological and Regulatory Considerations for a Better Societal Outcome.

Olivier Collignon, Carl-Fredrik Burman, Martin Posch, Anja Schiel

Open access · bronzeAbstract readReview
In one paragraph

Review in Clinical pharmacology and therapeutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
6.4field-weighted citation impact, top 2% of its field
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

17 citing papers in PubMed, 35 citations in OpenAlex.

  1. Trial
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  10. Estimands and Complex Innovative Designs.Clinical pharmacology and therapeutics · 2022
    Review
  11. Article
  12. Therapeutic strategies to address monkeypox.Expert review of anti-infective therapy · 2022
    Article
  13. Article
  14. Review
  15. Article
  16. Therapie
    Article
  17. Article
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

4 authors at 4 institutions in 4 countries.

Olivier CollignonGlaxoSmithKline, Stevenage, Hertfordshire, UK.
Carl-Fredrik BurmanStatistical Innovation, Data Science, and Artificial Intelligence, AstraZeneca R&D, Gothenburg, Sweden.
Martin PoschSection for Medical Statistics, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Vienna, Austria.
Anja SchielNorwegian Medicines Agency, Oslo, Norway.
AstraZeneca (Sweden) · SEGlaxoSmithKline (United Kingdom) · GBMedical University of Vienna · ATNorwegian Medicines Agency · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For the development of coronavirus disease 2019 (COVID-19) drugs during the ongoing pandemic, speed is of essence whereas quality of evidence is of paramount importance. Although thousands of COVID-19 trials were rapidly started, many are unlikely to provide robust statistical evidence and meet regulatory standards (e.g., because of lack of randomization or insufficient power). This has led to an inefficient use of time and resources. With more coordination, the sheer number of patients in these trials might have generated convincing data for several investigational treatments. Collaborative platform trials, comparing several drugs to a shared control arm, are an attractive solution. Those trials can utilize a variety of adaptive design features in order to accelerate the finding of life-saving treatments. In this paper, we discuss several possible designs, illustrate them via simulations, and also discuss challenges, such as the heterogeneity of the target population, time-varying standard of care, and the potentially high number of false hypothesis rejections in phase II and phase III trials. We provide corresponding regulatory perspectives on approval and reimbursement, and note that the optimal design of a platform trial will differ with our societal objective and by stakeholder. Hasty approvals may delay the development of better alternatives, whereas searching relentlessly for the single most efficacious treatment may indirectly diminish the number of lives saved as time is lost. We point out the need for incentivizing developers to participate in collaborative evidence-generation initiatives when a positive return on investment is not met.

Indexed as

Clinical Trials as TopicCOVID-19COVID-19 Drug TreatmentResearch DesignAdaptive Clinical Trials as TopicAntiviral AgentsClinical Trials, Phase II as TopicClinical Trials, Phase III as TopicDrug ApprovalEuropeHumansPatient SelectionPublic OpinionStandard of CareAntiviral Agents

Identifiers

PMID33506495
PMCPMC8014457
OpenAlexW3125459864

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.