Evidence map›Paper›PMID 23601337›Full record

ArticleClinical and translational science2013

Developing future clinician scientists while supporting a research infrastructure.

Maija Holsti, Kathleen M Adelgais, Leah Willis, Kammy Jacobsen, Edward B Clark, Carrie L Byington

Abstract read
In one paragraph

Article in Clinical and translational science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

Maija HolstiDepartment of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah, USA. maija.holsti@hsc.utah.edu
Kathleen M Adelgais
Leah Willis
Kammy Jacobsen
Edward B Clark
Carrie L Byington

Funding

University of Utah Center for Clinical and Translational ScienceUL1TR001067 · NCATS · UNIVERSITY OF UTAH · PI DERE, WILLARD H., HESS, RACHEL · 2013 to 2017
$19.8M
NCATS NIH HHS UL1 TR001067
6 · The paper itself

Abstract

backgroundSupporting clinical research is a national priority. Clinician scientists are rare and clinical trials in academic medical centers (AMC) often fail to meet enrollment goals. Undergraduate students interested in biomedical careers often lack opportunities to perform clinical research.

objectiveDescribe an innovative undergraduate course that supports clinical research in an AMC.

methodsThe course, Clinical Research Methods and Practice, offers undergraduate students the opportunity to learn clinical research through didactic and practical experiences. The students in turn support clinician scientists' conduct of clinical studies in an AMC. Clinician scientists receive research support and participate in mentoring sessions for students.

resultsOver seven semesters, 128 students have assisted in 21 clinical studies located in outpatient and inpatient units of two hospitals. Students identified and screened eligible patients, collected clinical data, assisted in obtaining informed consent, and transported specimens. Many of the clinician scientists have met their enrollment goals and several have been top-enrollers in multicenter clinical trials as a result of student support.

conclusionsThe Clinical Research Methods and Practice class addresses barriers to clinical research in AMC. This may be a model for institutions committed to mentoring students early in their career and to developing infrastructures for clinical research.

Indexed as

Biomedical ResearchCurriculumResearch PersonnelHumansStudents

Identifiers

PMID23601337
PMCPMC5350778

What OpenQuestion holds

Textmetadata
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.