ArticleCancer cell2019
Precision Oncology: Three Small Steps Forward.
Article in Cancer cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- The Potential of a Digital Twin in Surgery.Surgical innovation · 2021Article
- Horizons in Veterinary Precision Oncology: Fundamentals of Cancer Genomics and Applications of Liquid Biopsy for the Detection, Characterization, and Management of Cancer in Dogs.Frontiers in veterinary science · 2021Review
- Deep Digital Phenotyping and Digital Twins for Precision Health: Time to Dig Deeper.Journal of medical Internet research · 2020Article
- Repositioning Lidocaine as an Anticancer Drug: The Role Beyond Anesthesia.Frontiers in cell and developmental biology · 2020Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Only a subset of cancer patients currently benefit from personalized treatment approaches. Detection of actionable drug targets in cell-free DNA, more comprehensive molecular profiling integrating transcriptional analyses, and personalized combination regimens all hold promise in expanding the benefits of personalized oncology to larger numbers of cancer patients.
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.