ArticlePLoS computational biology2022
CHOIRBM: An R package for exploratory data analysis and interactive visualization of pain patient body map data.
Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Adolescent pain reports share genetic overlap with adult chronic pain conditions: A polygenic score analysis using the ABCD study.The journal of pain · 2026Article
- Summary and Analysis of Digital Pain Manikin Data in Adults With Pain Experience: Scoping Review.Journal of medical Internet research · 2025Article
- Beyond pain intensity: Validating single-item pain bothersomeness measures.The journal of pain · 2025Article
- Article
- Types, method, and mode of implementation of pain/symptom maps in musculoskeletal pain rehabilitation: A scoping review protocol.PloS one · 2025Article
- Real-world long-term outcomes of peripheral nerve stimulation: a prospective observational study.Pain management · 2025Observational
- Is There an Association Between Lateralization of Chronic Pain in the Body and Depression?The journal of pain · 2024Article
- Work conditions and determinants of health status among industrial shift workers: a cross-sectional study.Frontiers in public health · 2024Article
- A Longitudinal Investigation of the Impact of COVID-19 on Patients With Chronic Pain.The journal of pain · 2023Article
- Pragmatic Comparative Effectiveness Trials and Learning Health Systems in Pain Medicine: Opportunities and Challenges.Anesthesiology clinics · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Body maps are commonly used to capture the location of a patient's pain and thus reflect the extent of pain throughout the body. With increasing electronic capture body map information, there is an emerging need for clinic- and research-ready tools capable of visualizing this data on individual and mass scales. Here we propose CHOIRBM, an extensible and modular R package and companion web application built on the grammar of graphics system. CHOIRBM provides functions that simplify the process of analyzing and plotting patient body map data integrated from the CHOIR Body Map (CBM) at both individual patient and large-dataset levels. CHOIRBM is built on the popular R graphics package, ggplot2, which facilitates further development and addition of functionality by the open-source development community as future requirements arise. The CHOIRBM package is distributed under the terms of the MIT license and is available on CRAN. The development version of the package with the latest functions may be installed from GitHub. Example analysis using CHOIRBM demonstrates the functionality of the modular R package and highlights both the clinical and research utility of efficiently producing CBM visualizations.
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.