ArticleJCO clinical cancer informatics2026
Childhood Cancer Data Initiative Participant Index: Mapping Pediatric Cancer Data to Facilitate Cross-Study Integrated Analysis.
Article in JCO clinical cancer informatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Sellar region neurocytomas exhibit a CIMP and neuroendocrine-like epigenetic signature distinct from other intra-axial neurocytomas.Acta neuropathologica · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo facilitate integrated multimodal data analysis, it is critical to connect data from multiple sources to address multifaceted research questions, better understand disease biology and natural history, develop new therapies, and improve existing treatments. The Childhood Cancer Data Initiative (CCDI) Participant Index, an application programming interface, aims to address this challenge by providing a digital ID mapping and matching service which collects and cross-references all known IDs associated with a participant.
methodsA variety of retrospective and prospective data collected through the CCDI Data Ecosystem equal or surpass the complexity of patient data systems in large health care organizations. The CCDI Data Ecosystem includes participant data collected under multiple protocols and at multiple sites, which often results in the same participant being associated with multiple IDs depending on the source, time, or other variables. CCDI is exploring ways to integrate diverse data types (such as genomic, proteomic, imaging, transcriptomic, clinical trial, and electronic health record data), collected over time and from different sources at the participant level, while ensuring privacy protection.
resultsThis mapping allows researchers to access a more complete picture of a participant, even when data are collected at different time points, organizations, protocols, and consents.
conclusionThis facilitates the creation of a connected data ecosystem and promotes data reuse, which, in turn, can accelerate research and improve participant outcomes.
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.