Evidence map›Paper›PMID 38259267›Full record

ArticleFrontiers in pharmacology2023

Supporting clinical research professionals through educational innovations.

Diana Lee-Chavarria, Tammy L Loucks, Rechelle Paranal, Royce Sampson, Carol Feghali-Bostwick

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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.

Diana Lee-Chavarria *South Carolina Clinical and Translational Research Institute, Medical University of South Carolina, Charleston, SC, United States.
Tammy L Loucks *South Carolina Clinical and Translational Research Institute, Medical University of South Carolina, Charleston, SC, United States.
Rechelle Paranal *South Carolina Clinical and Translational Research Institute, Medical University of South Carolina, Charleston, SC, United States.
Royce Sampson *South Carolina Clinical and Translational Research Institute, Medical University of South Carolina, Charleston, SC, United States.
Carol Feghali-Bostwick *Department of Medicine, College of Medicine, Medical University of South Carolina, Charleston, SC, United States.

Funding

South Carolina Clinical & Translational Research Institute (SCTR)UL1TR001450 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T., FLUME, PATRICK A · 2015 to 2024
$41.1M
NCATS NIH HHS UL1 TR001450
6 · The paper itself

Abstract

Clinical Research Professionals (CRPs) are essential members of the Clinical and Translational Research Workforce. Many academic medical institutions struggle to recruit and retain these vital team members. One strategy to increase job satisfaction and promote the retention of CRPs is through educational initiatives that provide training and professional development. The South Carolina Clinical and Translational Research (SCTR) Institute Workforce Development (WD) team at the Medical University of South Carolina (MUSC) developed several trainings as part of our larger educational portfolio for CRPs. In 2022 WD implemented a digital badge micro-credential for SCTR's Core Clinical Research Training (CCRT) course in collaboration with institution-wide education and technology offices. Beginning in January 2023, individuals were able to earn the CCRT Certified Digital Badge upon successful completion of the CCRT course.

Indexed as

clinical research professionaldigital badgemicro-credentialprofessional developmentresearchtraining

Identifiers

PMID38259267
PMCPMC10800862

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.