ArticleClinical and translational medicine2015
The development of precision medicine in clinical practice.
Article in Clinical and translational medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Precision oncology: a review to assess interpretability in several explainable methods.Briefings in bioinformatics · 2023Review
- Intellectual Structure and Evolutionary Trends of Precision Medicine Research: Coword Analysis.JMIR medical informatics · 2020Article
- Moving Toward a Precision-Based, Personalized Framework for Prevention Science: Introduction to the Special Issue.Prevention science : the official journal of the Society for Prevention Research · 2019Article
- Improving precision medicine using individual patient data from trials.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2017Review
- Production of CCL20 from lung cancer cells induces the cell migration and proliferation through PI3K pathway.Journal of cellular and molecular medicine · 2016Article
- Gene mutation-based and specific therapies in precision medicine.Journal of cellular and molecular medicine · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precision medicine allows a dramatic expansion of biological data, while there is still an urgent need to understand and insight the exact meaning of those data to human health and disease. This has led to an increasing wealth of data unanalyzed. The concept of precision medicine is about the customization of healthcare, with decisions and practices tailored to an individual patient based on their intrinsic biology in addition to clinical "signs and symptoms". Construction of a standardized model for the integration of data from various platforms is the central mission of the 'New Disease Management Model'. The model is helpful for the development of new taxonomy of diseases and subtypes, to personalize therapy based on patient genetic profiles. A rapid progression of precision therapy has been made recently. Clinical trials have shown the therapeutic efficacy of discovered and developed therapeutic agents has improved. However, next-generation drugs would be designed for disease subtypes with more specificity, efficacy and lower toxicity.
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.