ReviewYearbook of medical informatics2014
Surveying Recent Themes in Translational Bioinformatics: Big Data in EHRs, Omics for Drugs, and Personal Genomics.
Review in Yearbook of medical informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Defining Phenotypes from Clinical Data to Drive Genomic Research.Annual review of biomedical data science · 2018Article
- Post-genomic behavioral genetics: From revolution to routine.Genes, brain, and behavior · 2018Review
- Genome-wide and Phenome-wide Approaches to Understand Variable Drug Actions in Electronic Health Records.Clinical and translational science · 2018Review
- A Review of Recent Advances in Translational Bioinformatics: Bridges from Biology to Medicine.Yearbook of medical informatics · 2017Review
- Personalized Therapeutics and Pharmacogenomics: Integral to Personalized Health Care.Pharmaceutical research · 2017Article
- Applying deep neural networks to unstructured text notes in electronic medical records for phenotyping youth depression.Evidence-based mental health · 2017Article
- Translational Bioinformatics: Past, Present, and Future.Genomics, proteomics & bioinformatics · 2016Review
- Practical considerations in genomic decision support: The eMERGE experience.Journal of pathology informatics · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
objectiveTo provide a survey of recent progress in the use of large-scale biologic data to impact clinical care, and the impact the reuse of electronic health record data has made in genomic discovery.
methodSurvey of key themes in translational bioinformatics, primarily from 2012 and 2013.
resultThis survey focuses on four major themes: the growing use of Electronic Health Records (EHRs) as a source for genomic discovery, adoption of genomics and pharmacogenomics in clinical practice, the possible use of genomic technologies for drug repurposing, and the use of personal genomics to guide care.
conclusionReuse of abundant clinical data for research is speeding discovery, and implementation of genomic data into clinical medicine is impacting care with new classes of data rarely used previously in medicine.
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.