Evidence map›Paper›PMID 42310536›Full record

SynthesisBMC medical research methodology2026

Basket and umbrella trials in pediatric precision medicine: a systematic review of designs, opportunities, and challenges.

Mohd Rashid Khan, Mariarita Stendardo, Silvia Bressan, Luca Vedovelli, Paola Berchialla, Ileana Baldi, Dario Gregori, Danila Azzolina

Abstract readSystematic Review
In one paragraph

Synthesis in BMC medical research methodology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mohd Rashid KhanUnit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padua, Italy.
Mariarita StendardoUnit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padua, Italy.
Silvia BressanDepartment of Women's and Children's Health, University of Padova, Padua, Italy.
Luca VedovelliUnit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padua, Italy.
Paola BerchiallaDepartment of Clinical and Biological Sciences, University of Turin, Turin, Italy.
Ileana BaldiUnit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padua, Italy.
Dario GregoriUnit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Padua, Italy.
Danila AzzolinaBiostatistics and Clinical Trial Biometry, Clinical Research Center DEMeTra, Department of Translational Medicine, University of Naples Federico II, Naples, Italy. danila.azzolina@unina.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersonalized medicine, driven by genomic insights, has catalyzed the emergence of innovative clinical trial designs such as basket and umbrella trials. These designs are particularly suited for evaluating targeted therapies in biomarker-defined subgroups and rare pediatric conditions where traditional trials face challenges of small sample sizes and disease heterogeneity.

objectivesThis systematic review aimed to characterize and synthesize the current literature on basket and umbrella trial designs in pediatric drug development, with a focus on their methodological, regulatory, and statistical aspects.

methodsA systematic search was conducted in the electronic databases PubMed, Scopus, and Web of Science to identify all literature related to basket and umbrella trials. A text mining analysis using unsupervised machine learning technique was performed with relevant articles to automatically identify the primary topics within publications on basket and umbrella trials. A systematic search of PubMed, Scopus, and Web of Science identified 1867 records. After screening and eligibility assessment, 28 studies were included in the final review. Topic modelling using Latent Dirichlet Allocation (LDA) was performed on 76 pertinent articles to identify dominant themes. Statistical convergence, topic coherence, and classification accuracy (> 85%) were validated.

resultsA systematic search of PubMed, Scopus, and Web of Science identified 1867 records. After screening and eligibility assessment, 28 studies were included in the final review. Basket trial designs were more prevalent than umbrella trials, particularly in early-phase oncology and rare disease research. Topic modelling using Latent Dirichlet Allocation (LDA) was performed on 76 relevant articles to identify dominant themes. Statistical convergence, topic coherence, and classification accuracy (> 85%) were validated.

conclusionsBasket and umbrella trials offer substantial advantages for pediatric drug development by increasing trial efficiency, enabling precision targeting, and supporting adaptive decision-making. Their success depends on robust statistical planning, careful use of Bayesian methods, and attention to regulatory guidance.

Indexed as

Clinical Trials as TopicDrug DevelopmentPediatricsPrecision MedicineResearch DesignChildData MiningHumansBasket TrialsPediatricsPlatform TrialsPrecision MedicineStatistical MethodologiesTopic ModellingUmbrella Trials

Identifiers

PMID42310536
PMCPMC13527913

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.