Evidence map›Paper›PMID 37533169›Full record

ArticleClinical and translational science2023

Areas of strength and opportunities for growth in translational science education and training: Results of a scoping review from the NCATS Education Branch.

Amanda L Vogel, Brittany M Haynes, Shadab F Hussain, Lameese D Akacem, Marcus G Hodges, Josh A Duberman, Gisela Butera, Jessica M Faupel-Badger

Abstract readScoping Review
In one paragraph

Article in Clinical and translational science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Journal of clinical and translational science · 2025
    Article
  6. Article
  7. Article
  8. Translational science at the undergraduate level: awakening talents to overcome the valley of death - case report.The journal of venomous animals and toxins including tropical diseases · 2025
    Article
  9. 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

8 authors.

Amanda L VogelEducation Branch, Office of Policy Communications and Education, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland, USA.
Brittany M HaynesEducation Branch, Office of Policy Communications and Education, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland, USA.
Shadab F HussainEducation Branch, Office of Policy Communications and Education, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland, USA.
Lameese D AkacemEducation Branch, Office of Policy Communications and Education, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland, USA.
Marcus G HodgesEducation Branch, Office of Policy Communications and Education, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland, USA.
Josh A DubermanNational Institutes of Health Library, Office of Research Services, National Institutes of Health, Bethesda, Maryland, USA.
Gisela ButeraNational Institutes of Health Library, Office of Research Services, National Institutes of Health, Bethesda, Maryland, USA.
Jessica M Faupel-BadgerEducation Branch, Office of Policy Communications and Education, National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Translational science education and training (E&T) aims to prepare the translational workforce to accelerate progress along the translational pipeline toward solutions that improve human health. In 2020-2021, the National Center for Advancing Translational Sciences (NCATS) Education Branch conducted a scoping review of the E&T literature with this focus. The review used the methodological framework proposed by Arksey and O'Malley. PubMed, Education Resources Information Center (ERIC), and Embase were searched, and forward citations conducted. Screening of titles, abstracts, and full text identified 44 included articles. Data extraction facilitated analysis of E&T content, audiences, modalities, evaluations, and recommendations. The NCATS Translational Science Principles were used to identity described or recommended E&T content. Twenty-nine articles described a translational science E&T opportunity or its evaluation, and another 15 articles offered recommendations for translational science E&T. The most prevalent NCATS Translational Science Principles were boundary-crossing partnerships (77%) and cross-disciplinary team science (75%). Among publications describing E&T opportunities, the most reported modalities were experiential learning (64%) and courses (61%) and the most reported participants were graduate students (68%) and postdoctoral fellows (54%). About half of these articles (n = 15) reported an evaluation, covering a range of proximal to distal outcomes. Recommendations emphasized the value of translational science E&T across training and career stages and the use of varied modalities to reach diverse audiences. This review highlights strengths and opportunities for growth in translational science E&T. Enhancements to content, expansion of participants and modalities, and rigorous evaluations will contribute to building a highly qualified, diverse translational science workforce.

Indexed as

National Center for Advancing Translational Sciences (U.S.)Translational Science, BiomedicalHealth PersonnelHumansUnited States

Identifiers

PMID37533169
PMCPMC10499424

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.