Evidence map›Paper›PMID 38827073›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2024

VisualSphere: a Web-based Interactive Visualization System for Clinical Research Data.

Shiwei Lin, Shiqiang Tao, Wei-Chun Chou, Guo-Qiang Zhang, Xiaojin Li

Abstract read
In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Shiwei LinDepartment of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030.
Shiqiang TaoDepartment of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030.
Wei-Chun ChouDepartment of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030.
Guo-Qiang ZhangDepartment of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030.
Xiaojin LiDepartment of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030.

Funding

SCH: Neurophysiological AI-Ready Data ResourceR01NS126690 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ZHANG, GUO-QIANG · 2022 to 2025
$1.2M
NINDS NIH HHS R01 NS126690
6 · The paper itself

Abstract

Clinical research data visualization is integral to making sense of biomedical research and healthcare data. The complexity and diversity of data, along with the need for solid programming skills, can hinder advances in clinical research data visualization. To overcome these challenges, we introduce VisualSphere, a web-based interactive visualization system that directly interfaces with clinical research data repositories, streamlining and simplifying the visualization workflow. VisualSphere is founded on three primary component modules: Connection, Configuration, and Visualization. An end-user can set up connections to the data repositories, create charts by selecting the desired tables and variables, and render visualization dashboards generated by Plotly and R/Shiny. We performed a preliminary evaluation of VisualSphere, which achieved high user satisfaction. VisualSphere has the potential to serve as a versatile tool for various clinical research data repositories, enabling researchers to explore and interact with clinical research data efficiently and effectively.

Identifiers

PMID38827073
PMCPMC11141841

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.