ArticleJCO clinical cancer informatics2025
Building Pediatric Cancer Cohorts and Accessing Data Using Childhood Cancer Data Initiative Tools.
Article in JCO clinical cancer informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Sellar region neurocytomas exhibit a CIMP and neuroendocrine-like epigenetic signature distinct from other intra-axial neurocytomas.Acta neuropathologica · 2026Article
- Childhood Cancer Data Initiative Participant Index: Mapping Pediatric Cancer Data to Facilitate Cross-Study Integrated Analysis.JCO clinical cancer informatics · 2026Article
- Sustainable Community-Wide Model to Enhance Cancer Data Usage and Utility.JCO clinical cancer informaticsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
purposeData sharing is necessary to advance understanding of the etiology and biology of cancer in children, adolescents, and young adults; drive therapeutic discoveries; and improve treatment outcomes. To meet this critical need, the National Cancer Institute's Childhood Cancer Data Initiative (CCDI) provides innovative, user-friendly tools and resources that enable researchers and pediatric oncologists to access and analyze the large volume of diverse childhood cancer data (over 1 million files) that has been collected and harmonized from multiple studies, including CCDI's Molecular Characterization Initiative, Pediatric MATCH, Childhood Cancer Survivor Study, etc. This article outlines how to find, request, access, download, and analyze data indexed in the CCDI Hub Explore Dashboard and Childhood Cancer Clinical Data Commons (C3DC), key components of the CCDI Data Ecosystem, to accelerate progress in pediatric cancer research.
methodsBoth CCDI resources support cohort-based analysis and use data models that include study, participant, sample, diagnosis, and treatment data. These models are updated in collaboration with field experts. Additionally, CCDI drafted a Pediatric Cancer Core common data elements list, which serves as a standard reference for researchers.
resultsThe CCDI Hub is the primary access point for finding data, tools, and applications managed by CCDI. The C3DC provides harmonized, participant-level clinical data and the CCDI Hub Explore Dashboard catalogs data at the file level. These resources enable users to search for and download manifests of harmonized, de-identified participant data and build cohorts.
conclusionCCDI prioritizes data accessibility and interoperability and, with its resources and data, continues to aid in pediatric cancer research discovery, data-driven insights, and collaboration across the pediatric cancer community.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.