ArticleJournal of personalized medicine2013
The need for clinical decision support integrated with the electronic health record for the clinical application of whole genome sequencing information.
Article in Journal of personalized medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Article
- Utilizing a user-centered approach to develop and assess pharmacogenomic clinical decision support for thiopurine methyltransferase.BMC medical informatics and decision making · 2019Article
- Implementing the VMC Specification to Reduce Ambiguity in Genomic Variant Representation.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019Article
- From somatic variants towards precision oncology: Evidence-driven reporting of treatment options in molecular tumor boards.Genome medicine · 2018Article
- Disclosing Genetic Risk for Coronary Heart Disease: Attitudes Toward Personal Information in Health Records.American journal of preventive medicine · 2017Article
- Clinical Use of Precision Oncology Decision Support.JCO precision oncology · 2017Article
- Intelligent Techniques Using Molecular Data Analysis in Leukaemia: An Opportunity for Personalized Medicine Support System.BioMed research international · 2017Review
- Design Recommendations for Pharmacogenomics Clinical Decision Support Systems.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2017Article
- The genomic CDS sandbox: An assessment among domain experts.Journal of biomedical informatics · 2016Article
- Genomics in CKD: Is This the Path Forward?Advances in chronic kidney disease · 2016Review
- Integrating "big data" into surgical practice.Surgery · 2016Review
- The right drugs at the right time for the right patient: the MD Anderson precision oncology decision support platform.Drug discovery today · 2015Article
- The future of murine sepsis and trauma research models.Journal of leukocyte biology · 2015Review
- Preemptive clinical pharmacogenetics implementation: current programs in five US medical centers.Annual review of pharmacology and toxicology · 2015Review
- A proposed clinical decision support architecture capable of supporting whole genome sequence information.Journal of personalized medicine · 2014Article
- Clinical decision support for whole genome sequence information leveraging a service-oriented architecture: a prototype.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Whole genome sequencing (WGS) is rapidly approaching widespread clinical application. Technology advancements over the past decade, since the first human genome was decoded, have made it feasible to use WGS for clinical care. Future advancements will likely drive down the price to the point wherein WGS is routinely available for care. However, were this to happen today, most of the genetic information available to guide clinical care would go unused due to the complexity of genetics, limited physician proficiency in genetics, and lack of genetics professionals in the clinical workforce. Furthermore, these limitations are unlikely to change in the future. As such, the use of clinical decision support (CDS) to guide genome-guided clinical decision-making is imperative. In this manuscript, we describe the barriers to widespread clinical application of WGS information, describe how CDS can be an important tool for overcoming these barriers, and provide clinical examples of how genome-enabled CDS can be used in the clinical setting.
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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.