Evidence map›Paper›PMID 34729462›Full record

ArticleJAMIA open2021

A dashboard for exploring clinical trials sponsorship and potential virtual monopolies.

S Scott Graham, Zoltan P Majdik, Joshua B Barbour, Justin F Rousseau

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JAMIA open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

S Scott GrahamDepartment of Rhetoric & Writing, Center for Health Communication, University of Texas at Austin, Austin, Texas, USA.
Zoltan P MajdikDepartment of Communication, North Dakota State University, Fargo, North Dakota, USA.
Joshua B BarbourDepartment of Communication Studies, Moody College of Communication, University of Texas at Austin, Austin, Texas, USA.ORCID https://orcid.org/0000-0001-8384-7175
Justin F RousseauDepartment of Population Health, Dell Medical School, The University of Texas at Austin, Austin, Texas, USA.ORCID https://orcid.org/0000-0002-2817-9124

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo create a data visualization dashboard to advance research related to clinical trials sponsorship and monopolistic practices in the pharmaceuticals industry. MATERIALS AND

methodsThis R Shiny application aggregates data from ClinicialTrials.gov resulting from user's queries by terms. Returned data are visualized through an interactive dashboard.

resultsThe Clinical Trials Sponsorship Network Dashboard (CTSND) uses force-directed network mapping algorithms to visualize clinical trials sponsorship data. Interpretation of network visualization is further supported with data on sponsor classes, sponsorship timelines, evaluated products, and target conditions. The source code for the CTSND is available at https://github.com/sscottgraham/ConflictMetrics. DISCUSSION: Monopolistic practices have been identified as a likely contributor to high drug prices in the United States. CTSND data and visualizations support the analysis of clinical trials sponsorship networks and may aid in identifying current and emerging monopolistic practices.

conclusionsCTSND data can support more robust deliberation about an understudied area of drug pricing.

Indexed as

clinical trialsdata visualizationhealth policy informaticsnetwork modelingresearch funding

Identifiers

PMID34729462
PMCPMC8557741

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.