Evidence map›Paper›PMID 28728594›Full record

Trial reportBMC medical research methodology2017

Implementing the EffTox dose-finding design in the Matchpoint trial.

Kristian Brock, Lucinda Billingham, Mhairi Copland, Shamyla Siddique, Mirjana Sirovica, Christina Yap

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in BMC medical research methodology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.2field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 39 citations in OpenAlex.

  1. Generalized Pairwise Comparisons in Dose Optimization Oncology Trials: Beyond Safety to Multi-outcome Dose Selection.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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  8. Accelerated-phase CML: de novo and transformed.Hematology. American Society of Hematology. Education Program · 2023
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  9. Early phase clinical trials in oncology: Realising the potential of seamless designs.European journal of cancer (Oxford, England : 1990) · 2023
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  16. Using an Interaction Parameter in Model-Based Phase I Trials for Combination Treatments? A Simulation Study.International journal of environmental research and public health · 2021
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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

6 authors at 2 institutions in 1 country.

Kristian BrockCancer Research UK Clinical Trials Unit, Institute of Cancer & Genomic Sciences, University of Birmingham, Birmingham, B15 2TT, UK. k.brock@bham.ac.uk.ORCID http://orcid.org/0000-0002-3921-0166
Lucinda BillinghamCancer Research UK Clinical Trials Unit, Institute of Cancer & Genomic Sciences, University of Birmingham, Birmingham, B15 2TT, UK.
Mhairi CoplandPaul O'Gorman Leukaemia Research Centre, University of Glasgow, Glasgow, UK.
Shamyla SiddiqueCancer Research UK Clinical Trials Unit, Institute of Cancer & Genomic Sciences, University of Birmingham, Birmingham, B15 2TT, UK.
Mirjana SirovicaCancer Research UK Clinical Trials Unit, Institute of Cancer & Genomic Sciences, University of Birmingham, Birmingham, B15 2TT, UK.
Christina YapCancer Research UK Clinical Trials Unit, Institute of Cancer & Genomic Sciences, University of Birmingham, Birmingham, B15 2TT, UK.
Cancer Research UK Clinical Trials Unit · GBBlood Cancer UK · GB

Funding

Cancer Research UK 15958
6 · The paper itself

Abstract

backgroundThe Matchpoint trial aims to identify the optimal dose of ponatinib to give with conventional chemotherapy consisting of fludarabine, cytarabine and idarubicin to chronic myeloid leukaemia patients in blastic transformation phase. The dose should be both tolerable and efficacious. This paper describes our experience implementing EffTox in the Matchpoint trial.

methodsEffTox is a Bayesian adaptive dose-finding trial design that jointly scrutinises binary efficacy and toxicity outcomes. We describe a nomenclature for succinctly describing outcomes in phase I/II dose-finding trials. We use dose-transition pathways, where doses are calculated for each feasible set of outcomes in future cohorts. We introduce the phenomenon of dose ambivalence, where EffTox can recommend different doses after observing the same outcomes. We also describe our experiences with outcome ambiguity, where the categorical evaluation of some primary outcomes is temporarily delayed.

resultsWe arrived at an EffTox parameterisation that is simulated to perform well over a range of scenarios. In scenarios where dose ambivalence manifested, we were guided by the dose-transition pathways. This technique facilitates planning, and also helped us overcome short-term outcome ambiguity.

conclusionsEffTox is an efficient and powerful design, but not without its challenges. Joint phase I/II clinical trial designs will likely become increasingly important in coming years as we further investigate non-cytotoxic treatments and streamline the drug approval process. We hope this account of the problems we faced and the solutions we used will help others implement this dose-finding clinical trial design.

trial registrationMatchpoint was added to the European Clinical Trials Database ( https://www.clinicaltrialsregister.eu/ctr-search/trial/2012-005629-65/GB ) on 2013-12-30.

Indexed as

Bayes TheoremResearch DesignAlgorithmsAntineoplastic Combined Chemotherapy ProtocolsBlast CrisisCytarabineHumansIdarubicinImidazolesModels, StatisticalOutcome Assessment, Health CarePyridazinesVidarabineCytarabinefludarabineIdarubicinImidazolesponatinibPyridazinesVidarabineCMLDose-findingEfficacyEffToxPhase I/IIToxicity

Identifiers

PMID28728594
PMCPMC5520236
OpenAlexW2736865832

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.