Evidence map›Paper›PMID 38384905›Full record

ArticleJournal of clinical and translational science2024

Distinguishing between translational science and translational research in CTSA pilot studies: A collaborative project across 12 CTSA hubs.

Margaret Schneider, Amanda Woodworth, Marissa Ericson, Lindsie Boerger, Scott Denne, Pam Dillon, Paul Duguid, Eman Ghanem, Joe Hunt, Jennifer S Li and 6 more

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Application of a Conceptual Model for Translational Science Impact.Journal of clinical and translational science · 2025
    Article
  6. Article
  7. 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

16 authors.

Margaret SchneiderThe Institute for Clinical and Translational Science, University of California, Irvine, CA, USA.ORCID https://orcid.org/0000-0002-8314-0732
Amanda WoodworthThe Institute for Clinical and Translational Science, University of California, Irvine, CA, USA.
Marissa EricsonThe Institute for Clinical and Translational Science, University of California, Irvine, CA, USA.
Lindsie BoergerThe Institute of Translational Health Sciences, University of Washington, Seattle, WA, USA.
Scott DenneThe Indiana Clinical and Translational Sciences Institute, Indiana University, Indianapolis, IN, USA.
Pam DillonThe Wright Center for Clinical and Translational Research, Virginia Commonwealth University, Richmond, VA, USA.
Paul DuguidThe Translational Research Institute, University of Arkansas Medical Sciences, Little Rock, AR, USA.ORCID https://orcid.org/0009-0002-7972-1574
Eman GhanemDuke Clinical & Translational Science Institute, Duke University, Durham, NC, USA.
Joe HuntThe Indiana Clinical and Translational Sciences Institute, Indiana University, Indianapolis, IN, USA.
Jennifer S LiDuke Clinical & Translational Science Institute, Duke University, Durham, NC, USA.
Renee McCoyClinical & Translational Science Institute of Southeast Wisconsin, Medical College of Wisconsin, Milwaukee, WI, USA.
Nadia ProkofievaTufts Clinical and Translational Science Institute, Tufts University, Boston, MA, USA.
Vonda RodriguezDuke Clinical & Translational Science Institute, Duke University, Durham, NC, USA.
Crystal SparksThe Translational Research Institute, University of Arkansas Medical Sciences, Little Rock, AR, USA.
Jeffrey ZaleskiThe Indiana Clinical and Translational Sciences Institute, Indiana University, Indianapolis, IN, USA.
Henry XiangCenter for Clinical and Translational Science, The Ohio State University, Columbus, OH, USA.

Funding

Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
NCATS NIH HHS UL1 TR002319
6 · The paper itself

Abstract

Introduction: The institutions (i.e., hubs) making up the National Institutes of Health (NIH)-funded network of Clinical and Translational Science Awards (CTSAs) share a mission to turn observations into interventions to improve public health. Recently, the focus of the CTSAs has turned increasingly from translational research (TR) to translational science (TS). The current NIH Funding Opportunity Announcement (PAR-21-293) for CTSAs stipulates that pilot studies funded through the CTSAs must be "focused on understanding a scientific or operational principle underlying a step of the translational process with the goal of developing generalizable solutions to accelerate translational research." This new directive places Pilot Program administrators in the position of arbiters with the task of distinguishing between TR and TS projects. The purpose of this study was to explore the utility of a set of TS principles set forth by NCATS for distinguishing between TR and TS. Methods: Twelve CTSA hubs collaborated to generate a list of Translational Science Principles questions. Twenty-nine Pilot Program administrators used these questions to evaluate 26 CTSA-funded pilot studies. Results: Factor analysis yielded three factors: Generalizability/Efficiency, Disruptive Innovation, and Team Science. The Generalizability/Efficiency factor explained the largest amount of variance in the questions and was significantly able to distinguish between projects that were verified as TS or TR ( Conclusions: The seven questions in this factor may be useful for informing deliberations regarding whether a study addresses a question that aligns with NCATS' vision of TS.

Indexed as

efficiencygeneralizabilityprinciplestranslational researchTranslational science

Identifiers

PMID38384905
PMCPMC10877521

What OpenQuestion holds

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LicenceCC BY
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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.