Evidence map›Paper›PMID 28700566›Full record

ArticlePediatric research2017

Enhancing pediatric clinical trial feasibility through the use of Bayesian statistics.

Robin A Huff, Jeff D Maca, Mala Puri, Earl W Seltzer

Abstract read
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In one paragraph

Article in Pediatric research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Clindamycin adjunctive therapy for severeJAC-antimicrobial resistance · 2022
    Article
  8. Handling Poor Accrual in Pediatric Trials: A Simulation Study Using a Bayesian Approach.International journal of environmental research and public health · 2021
    Article
  9. Scientific considerations for global drug development.Science translational medicine · 2020
    Review
  10. Article
  11. Optimizing Clinical Trial Design to Maximize Evidence Generation in Pediatric HIV.Journal of acquired immune deficiency syndromes (1999) · 2018
    Article
  12. 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.

Robin A HuffPediatric and Rare Disease Centers of Excellence, QuintilesIMS, Durham, North Carolina.
Jeff D MacaCenter for Statistics in Drug Development, QuintilesIMS, Durham, North Carolina.
Mala PuriTherapeutic Science and Strategy Unit, QuintilesIMS, Durham, North Carolina.
Earl W SeltzerGlobal Feasibility, INC Research Inc., Raleigh, North Carolina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundPediatric clinical trials commonly experience recruitment challenges including limited number of patients and investigators, inclusion/exclusion criteria that further reduce the patient pool, and a competitive research landscape created by pediatric regulatory commitments. To overcome these challenges, innovative approaches are needed.MethodsThis article explores the use of Bayesian statistics to improve pediatric trial feasibility, using pediatric Type-2 diabetes as an example. Data for six therapies approved for adults were used to perform simulations to determine the impact on pediatric trial size.ResultsWhen the number of adult patients contributing to the simulation was assumed to be the same as the number of patients to be enrolled in the pediatric trial, the pediatric trial size was reduced by 75-78% when compared with a frequentist statistical approach, but was associated with a 34-45% false-positive rate. In subsequent simulations, greater control was exerted over the false-positive rate by decreasing the contribution of the adult data. A 30-33% reduction in trial size was achieved when false-positives were held to less than 10%.ConclusionReducing the trial size through the use of Bayesian statistics would facilitate completion of pediatric trials, enabling drugs to be labeled appropriately for children.

Indexed as

Models, StatisticalPatient SelectionSample SizeAdolescentAge FactorsBayes TheoremBiomarkersBiomedical ResearchBlood GlucoseChildClinical Trials as TopicComputer SimulationData Interpretation, StatisticalDiabetes Mellitus, Type 2Drug LabelingFeasibility StudiesBiomarkersBlood GlucoseHypoglycemic Agents

Identifiers

PMID28700566

What OpenQuestion holds

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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.