Evidence map›Paper›PMID 33208155›Full record

ArticleBMC medicine2020

Adding flexibility to clinical trial designs: an example-based guide to the practical use of adaptive designs.

Thomas Burnett, Pavel Mozgunov, Philip Pallmann, Sofia S Villar, Graham M Wheeler, Thomas Jaki

Registry-linked trialAbstract read
In one paragraph

Article in BMC medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07275307 (Evaluating the Effects of Prontosan Wound Gel X on the Occurrence of Superficial Surgical Site Infections in Adult Cardiac Surgery Patients), which is not on this map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 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.

NCT07275307 recruitingnot on this mapstarted 2026, after this paper: background citation

Evaluating the Effects of Prontosan Wound Gel X on the Occurrence of Superficial Surgical Site Infections in Adult Cardiac Surgery Patients: A Single-Arm, Phase IV, Adaptive Feasibility Study

TypeobservationalSponsorIRCCS Policlinico S. DonatoRan2026 to 2027Enrolled456ConditionsSurgical Site Infection After Major SurgeryArmsApplication of Prontosan Wound Gel X
3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Alzheimer Combination Therapies: Overview and Scenarios.The journal of prevention of Alzheimer's disease · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. Re-envisioning clinical trial design in systemic sclerosis.Expert review of clinical immunology · 2025
    Review
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

6 authors.

Thomas BurnettDepartment of Mathematics and Statistics, Lancaster University, Fylde College, Lancaster, LA1 4YF, UK. t.burnett1@lancaster.ac.uk.
Pavel MozgunovDepartment of Mathematics and Statistics, Lancaster University, Fylde College, Lancaster, LA1 4YF, UK.
Philip PallmannCentre for Trials Research, College of Biomedical & Life Sciences, Cardiff University, Cardiff, UK.
Sofia S VillarMRC Biostatistics Unit, University of Cambridge School of Clinical Medicine, Cambridge Institute of Public Health, Forvie Site, Robinson Way, Cambridge Biomedical Campus, Cambridge, CB2 0SR, UK.
Graham M WheelerCancer Research UK & UCL Cancer Trials Centre, University College London, 90 Tottenham Court Road, London, W1T 4TJ, UK.
Thomas JakiDepartment of Mathematics and Statistics, Lancaster University, Fylde College, Lancaster, LA1 4YF, UK.

Funding

Department of Health NIHR300576Department of Health SRF-2015-08-001Medical Research Council MC_UU_00002/14Medical Research Council MC_UU_00002/15Medical Research Council MC UU 00002/3Medical Research Council MC_UU_00002/3Medical Research Council MC UU 0002/14Medical Research Council MR/L004933/1National Institute for Health Research NIHR300576National Institute for Health Research NIHR-SRF-2015-08-001
6 · The paper itself

Abstract

Adaptive designs for clinical trials permit alterations to a study in response to accumulating data in order to make trials more flexible, ethical, and efficient. These benefits are achieved while preserving the integrity and validity of the trial, through the pre-specification and proper adjustment for the possible alterations during the course of the trial. Despite much research in the statistical literature highlighting the potential advantages of adaptive designs over traditional fixed designs, the uptake of such methods in clinical research has been slow. One major reason for this is that different adaptations to trial designs, as well as their advantages and limitations, remain unfamiliar to large parts of the clinical community. The aim of this paper is to clarify where adaptive designs can be used to address specific questions of scientific interest; we introduce the main features of adaptive designs and commonly used terminology, highlighting their utility and pitfalls, and illustrate their use through case studies of adaptive trials ranging from early-phase dose escalation to confirmatory phase III studies.

Indexed as

Research DesignAdaptive Clinical Trials as TopicHumansProspective StudiesSample SizeEfficient methodsEnrichment designsInnovative trialsMulti-arm multi-stage platform trialsNovel designs

Identifiers

PMID33208155
PMCPMC7677786

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.