Observational studyJCO clinical cancer informatics2022
Precision Medicine Landscape of Genomic Testing for Patients With Cancer in the National Institutes of Health All of Us Database Using Informatics Approaches.
Observational study in JCO clinical cancer informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 5 citations in OpenAlex.
- Time to Treatment Discontinuation and Cost Effectiveness of Third-Line Therapies in Advanced Colorectal Cancer: Real-World Evidence from the NIH All of Us Research Program.Drugs - real world outcomes · 2026Article
- National Patterns of Biomarker Testing in Colorectal, Lung, and Prostate Cancers: Insights From the NIHClinical Medicine Insights. Oncology · 2026Article
- How to Design Electronic Case Report Form (eCRF) Questions to Maximize Semantic Interoperability in Clinical Research.Interactive journal of medical research · 2025Article
- Towards functional maps of non-coding variants in cancer.Frontiers in genome editing · 2024Review
- Opportunities and challenges of 5G network technology toward precision medicine.Clinical and translational science · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
purposeThe rapid growth of biomedical data ecosystems has catalyzed research for oncology and precision medicine. We leverage federal cloud-based precision medicine databases and tools to better understand the current landscape of precision medicine and genomic testing for patients with cancer.
methodsRetrospective observational study of genomic testing for patients with cancer in the National Institutes of Health
resultsThere were 5,678 (1.8%)
conclusionAlthough not yet ubiquitous, diverse clinical genomic analyses in oncology can set the stage to grow the practice of precision medicine by integrating research patient data repositories, cancer data ecosystems, and biomedical informatics.
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.