Evidence map›Paper›PMID 27705884›Full record

ArticleStatistical methods in medical research2018

Unified approach for extrapolation and bridging of adult information in early-phase dose-finding paediatric studies.

Caroline Petit, Adeline Samson, Satoshi Morita, Moreno Ursino, Jérémie Guedj, Vincent Jullien, Emmanuelle Comets, Sarah Zohar

Abstract read
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Article in Statistical methods in medical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

8 authors.

Caroline Petit1 INSERM, UMRS 1138, CRC, Team 22, University of Paris 5, University of Paris 6, Paris, France.
Adeline Samson2 LJK, UMR CNRS 5224, University of Grenoble Alpes, Grenoble, France.
Satoshi Morita3 Department of Biomedical Statistics and Bioinformatics, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Moreno Ursino1 INSERM, UMRS 1138, CRC, Team 22, University of Paris 5, University of Paris 6, Paris, France.
Jérémie Guedj4 INSERM, IAME, UMR 1137, Université Paris Diderot, Sorbonne Paris Cité, Paris, France.
Vincent Jullien5 Pharmacology Department, Hôpital Européen Georges Pompidou, Paris Descartes University, INSERM U1129, Paris, France.
Emmanuelle Comets4 INSERM, IAME, UMR 1137, Université Paris Diderot, Sorbonne Paris Cité, Paris, France.
Sarah Zohar1 INSERM, UMRS 1138, CRC, Team 22, University of Paris 5, University of Paris 6, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of trials conducted and the number of patients per trial are typically small in paediatric clinical studies. This is due to ethical constraints and the complexity of the medical process for treating children. While incorporating prior knowledge from adults may be extremely valuable, this must be done carefully. In this paper, we propose a unified method for designing and analysing dose-finding trials in paediatrics, while bridging information from adults. The dose-range is calculated under three extrapolation options, linear, allometry and maturation adjustment, using adult pharmacokinetic data. To do this, it is assumed that target exposures are the same in both populations. The working model and prior distribution parameters of the dose-toxicity and dose-efficacy relationships are obtained using early-phase adult toxicity and efficacy data at several dose levels. Priors are integrated into the dose-finding process through Bayesian model selection or adaptive priors. This calibrates the model to adjust for misspecification, if the adult and pediatric data are very different. We performed a simulation study which indicates that incorporating prior adult information in this way may improve dose selection in children.

Indexed as

Clinical Trials as TopicDrug Dosage CalculationsPediatricsProbabilityBayes TheoremHumansModels, StatisticalObservationadults observationsBayesian inferencebridgingDose-findingextrapolationpaediatrics trials

Identifiers

PMID27705884
PMCPMC5958415

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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.