Evidence map›Paper›PMID 39367313›Full record

SynthesisBMC medical research methodology2024

Adaptive designs in clinical trials: a systematic review-part I.

Mohamed Ben-Eltriki, Aisha Rafiq, Arun Paul, Devashree Prabhu, Michael O S Afolabi, Robert Baslhaw, Christine J Neilson, Michelle Driedger, Salaheddin M Mahmud, Thierry Lacaze-Masmonteil and 5 more

Abstract readSystematic Review
In one paragraph

Synthesis in BMC medical research methodology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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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

15 authors.

Mohamed Ben-EltrikiDepartment of Pharmacology and Therapeutics, Max Rady College of Medicine, University of Manitoba, Winnipeg, MB, Canada. mbeneltriki@alumni.ubc.ca.
Aisha RafiqDepartment of Pharmacology and Therapeutics, Max Rady College of Medicine, University of Manitoba, Winnipeg, MB, Canada.
Arun PaulDepartment of Pharmacology and Therapeutics, Max Rady College of Medicine, University of Manitoba, Winnipeg, MB, Canada.
Devashree PrabhuGeorge and for Fay Yee Centre Healthcare Innovation, Winnipeg, MB, Canada.
Michael O S AfolabiDepartment of Pediatrics and Child Health, University of Manitoba, Winnipeg, Manitoba, Canada.
Robert BaslhawGeorge and for Fay Yee Centre Healthcare Innovation, Winnipeg, MB, Canada.
Christine J NeilsonNeil John Maclean Health Sciences Library, University of Manitoba, Winnipeg, MB, Canada.
Michelle DriedgerDepartment of Community Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Salaheddin M MahmudDepartment of Community Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Thierry Lacaze-MasmonteilDepartment of Pediatrics, Cumming School of Medicine, University of Calgary, Alberta, Canada.
Susan MarlinClinical Trials Ontario, Toronto, Ontario, Canada.
Martin OffringaDepartment of Paediatrics, Management & Evaluation, Institute of Health Policy, University of Toronto, Ontario, Canada.
Nancy ButcherThe Hospital for Sick Children, Toronto, Ontario, Canada.
Anna HeathThe Hospital for Sick Children, Toronto, Ontario, Canada.
Lauren E KellyDepartment of Pharmacology and Therapeutics, Max Rady College of Medicine, University of Manitoba, Winnipeg, MB, Canada. lauren.kelly@umanitoba.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdaptive designs (ADs) are intended to make clinical trials more flexible, offering efficiency and potentially cost-saving benefits. Despite a large number of statistical methods in the literature on different adaptations to trials, the characteristics, advantages and limitations of such designs remain unfamiliar to large parts of the clinical and research community. This systematic review provides an overview of the use of ADs in published clinical trials (Part I). A follow-up (Part II) will compare the application of AD in trials in adult and pediatric studies, to provide real-world examples and recommendations for the child health community.

methodsPublished studies from 2010 to April 2020 were searched in the following databases: MEDLINE (Ovid), Embase (Ovid), and International Pharmaceutical Abstracts (Ovid). Clinical trial protocols, reports, and a secondary analyses using AD were included. We excluded trial registrations and interventions other than drugs or vaccines to align with regulatory guidance. Data from the published literature on study characteristics, types of adaptations, statistical analysis, stopping boundaries, logistical challenges, operational considerations and ethical considerations were extracted and summarized herein.

resultsOut of 23,886 retrieved studies, 317 publications of adaptive trials, 267 (84.2%) trial reports, and 50 (15.8%) study protocols), were included. The most frequent disease was oncology (168/317, 53%). Most trials included only adult participants (265, 83.9%),16 trials (5.4%) were limited to only children and 28 (8.9%) were for both children and adults, 8 trials did not report the ages of the included populations. Some studies reported using more than one adaptation (there were 390 reported adaptations in 317 clinical trial reports). Most trials were early in drug development (phase I, II (276/317, 87%). Dose-finding designs were used in the highest proportion of the included trials (121/317, 38.2 %). Adaptive randomization (53/317, 16.7%), with drop-the-losers (or pick-the-winner) designs specifically reported in 29 trials (9.1%) and seamless phase 2-3 design was reported in 27 trials (8.5%). Continual reassessment methods (60/317, 18.9%) and group sequential design (47/317, 14.8%) were also reported. Approximately two-thirds of trials used frequentist statistical methods (203/309, 64%), while Bayesian methods were reported in 24% (75/309) of included trials.

conclusionThis review provides a comprehensive report of methodological features in adaptive clinical trials reported between 2010 and 2020. Adaptation details were not uniformly reported, creating limitations in interpretation and generalizability. Nevertheless, implementation of existing reporting guidelines on ADs and the development of novel educational strategies that address the scientific, operational challenges and ethical considerations can help in the clinical trial community to decide on when and how to implement ADs in clinical trials. STUDY PROTOCOL REGISTRATION: https://doi.org/10.1186/s13063-018-2934-7 .

Indexed as

Clinical Trials as TopicResearch DesignAdaptive Clinical Trials as TopicAdultChildHumansAdaptive designsChallengesChild healthClinical trialsDescriptive analysisSystematic reviews

Identifiers

PMID39367313
PMCPMC11451232

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.