ArticleJAMIA open2023
StoryboardR: an R package and Shiny application designed to visualize real-world data from clinical patient registries.
Article in JAMIA open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Automated machine learning for predicting perioperative ischemia stroke in endovascularly treated ruptured intracranial aneurysm patients.Frontiers in neurology · 2025Article
- Bridging health registry data acquisition and real-time data analytics.Frontiers in medicine · 2024Article
- The Merkel Cell Carcinoma Patient Registry: From Promise to Prototype to Patient.Journal of registry management · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Tumor registries are a rich source of real-world data which can be used to test important hypotheses that inform clinical care. Exploratory data analysis at the level of individual subjects, when enhanced by interactive data visualizations, has the potential to provide novel insights and generate new hypothesis. Materials and Methods: We created StoryboardR: an R package and Shiny application designed to visualize real-word data from tumor registries. Results: StoryboardR facilitates the data visualization of real-word data from tumor registries captured in REDCap Conclusions: StoryboardR is freely available under the Massachusetts Institute of Technology license and can be obtained from GitHub. StoryboardR is executed in R and deployed as a Shiny application for non-R users. It produces data visualizations of patient journeys from tumor registries.
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.