Evidence map›Paper›PMID 36738915›Full record

ArticleContemporary clinical trials2023

Informatics infrastructure in a rural pediatric clinical trials network: Matching specific clinical research needs with best practices and industry guidelines.

Melody Greer, Maryam Y Garza, Jeannette Lee, Fred Prior, Lawrence Tarbox, Jeff Tobler, Anita Walden, Meredith Nahm Zozus, Jessica Snowden

Abstract read
In one paragraph

Article in Contemporary clinical trials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Melody GreerDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Maryam Y GarzaDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Jeannette LeeDepartment of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Fred PriorDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Lawrence TarboxDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Jeff ToblerDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
Anita WaldenOregon Clinical and Translational Research Institute, Oregon Health & Science University, Portland, OR, USA.
Meredith Nahm ZozusDepartment of Population Health Sciences, University of Texas Health, San Antonio, TX, USA.
Jessica SnowdenDepartment of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, USA; Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA. Electronic address: jsnowden@uams.edu.

Funding

Data Coordinating and Operations Center for the ECHO IDeA States Pediatric Clinical Trials NetworkU24OD024957 · OD · UNIV OF ARKANSAS FOR MED SCIS · PI COURTNEY, SHERRY, OUNPRASEUTH, SONGTHIP T. · 2016 to 2024
$80.8M
NIH HHS U24 OD024957
6 · The paper itself

Abstract

Children have historically been underrepresented in randomized controlled trials and multi-center studies. This is particularly true for children who reside in rural and underserved areas. Conducting multi-center trials in rural areas presents unique informatics challenges. These challenges call for increased attention towards informatics infrastructure and the need for development and application of sound informatics approaches to the collection, processing, and management of data for clinical studies. By modifying existing local infrastructure and utilizing open source tools, we have been able to successfully deploy a multi-site data coordinating and operations center. We report our implementation decisions for data collection and management for the IDeA States Pediatric Clinical Trial Network (ISPCTN) based on the functionality needed for the ISPCTN, our synthesis of the extant literature in data collection and management methodology, and Good Clinical Data Management Practices.

Indexed as

Data ManagementInformaticsChildData CollectionHumansRural PopulationClinical research networksClinical trialsData qualityInformaticsInformation use

Identifiers

PMID36738915
PMCPMC10512201

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Registered trials

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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.