ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2013
Visualizing the data - using lifelines2 to gain insights from data drawn from a clinical data repository.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2013. 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.
- Clinical Data Warehousing: A Scoping Review.Journal of the Society for Clinical Data Management · 2024Article
- A visual analytics approach for pattern-recognition in patient-generated data.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Classifying Clinical Trial Eligibility Criteria to Facilitate Phased Cohort Identification Using Clinical Data Repositories.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
- Clinical laboratory analytics: Challenges and promise for an emerging discipline.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
3 authors.
Funding
Abstract
The field of visual analytics continues to expand into the realm of electronic health record (EHR) analysis. At the National Institutes of Health (NIH), Lifelines2, a visualization program from the University of Maryland's Human-Computer Interaction Laboratory, was recently integrated into the NIH's clinical repository, the Biomedical Translational Research Information System (BTRIS). To explore the functionality of Lifelines2, two markers of inflammation - erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP) - were compared on patients both with and without the rare immune disorder chronic granulomatous disease (CGD) using ten years of de-identified patient data. We used Lifelines2 to visualize correlations among 12,266 laboratory events on 622 patients. The findings from our unrestricted sample identify areas warranting further studies on population subsets in which clinical features (such as disease activity) are known. Overall, visual aids such as Lifelines2 allowed for both rapid and powerful interpretation of EHR data.
Identifiers
24303258PMC3845771What 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.