ArticleScientific data2025
The ICGC ARGO data dictionary for standardizing global cancer clinical data.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Big data in U.S. neuro-oncology: trends and translational priorities.Journal of neuro-oncology · 2026Review
- Africa's emerging role in precision oncology: translational insights from the harnessing functional genomics in cancer research conference, Windhoek, 23-26 September 2025.BMC proceedings · 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
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The International Cancer Genome Consortium Accelerating Research in Genomic Oncology (ICGC ARGO) project is an international initiative to sequence germline and tumour genomes from 100,000 cancer patients across 13 countries and 22 tumour types. By integrating genomic data with comprehensive clinical information including treatment outcomes, lifestyle, environmental exposures and family history, ICGC ARGO aims to accelerate the application of genomic insights in cancer diagnosis, treatment and prevention. However, a major challenge is harmonizing clinical data from diverse tumour types worldwide. To address this, the ICGC ARGO Data Dictionary was developed to ensure consistent high-quality clinical data collection by defining a minimal set of clinical fields within an event-based data model to capture clinical relationships and support longitudinal data collection. Grounded in international standardized terminology, it is interoperable with other data standards such as Minimal Common Oncology Data Elements (mCODE). Its adoption by global initiatives such as the European-Canadian Cancer Network (EUCANCan) and the Marathon of Hope Cancer Centres Network (MOHCCN) underscores its broad impact on advancing precision oncology research.
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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.