ArticleJAMIA open2022
BodyMapR: an R package and Shiny application designed to generate anatomical visualizations of cancer lesions.
Article in JAMIA open, 2022. 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
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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.
- Segmental BIA-derived body composition in children and adolescents aged 5-18 years: age- and sex-specific reference values and limitations in obesity.European journal of clinical nutrition · 2026Article
- Exploring Cancer Incidence, Risk Factors, and Mortality in the Lleida Region: Interactive, Open-source R Shiny Application for Cancer Data Analysis.JMIR cancer · 2023Article
- StoryboardR: an R package and Shiny application designed to visualize real-world data from clinical patient registries.JAMIA open · 2023Article
- 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: Structured real-world data (RWD), such as those found in cancer registries, provide a rich source of information regarding the natural history of cancer. Interactive data visualizations of cancer lesions can provide insights into certain clinical tumor characteristics (CTC). Software that can be integrated into an oncological data collection effort and generate anatomical data visualizations of CTC are limited. Materials and Methods: We created BodyMapR: an R package and Shiny application that generates anatomical visualizations of cancer lesions from structured data. Results: BodyMapR is a Shiny application that transposes structured data from REDCap Conclusions: BodyMapR is freely available under the MIT license and can be obtained from GitHub. BodyMapR is executed in R and deployed as a Shiny application. It can be integrated into an existing cancer research platform and produces an interactive data visualization of CTC.
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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.