Evidence map›Paper›PMID 38695083›Full record

ArticleAdvances in physiology education2024

Leveraging digital assets: lessons from a 14-year-old isotope tracer course for professional scientists.

Eann Malabanan, Owen P McGuinness, Kendra H Oliver

Abstract read
In one paragraph

Article in Advances in physiology education, 2024. 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

3 authors.

Eann MalabananDepartment of Molecular Physiology and Biophysics, School of Medicine Basic Sciences, Vanderbilt University School of Medicine, Nashville, Tennessee, United States.
Owen P McGuinnessDepartment of Molecular Physiology and Biophysics, School of Medicine Basic Sciences, Vanderbilt University School of Medicine, Nashville, Tennessee, United States.ORCID 0000-0002-1778-3203
Kendra H OliverDepartment of Pharmacology, School of Medicine Basic Sciences, Vanderbilt University, Nashville, Tennessee, United States.ORCID 0000-0003-3142-5186

Funding

Coordinating and Bioinformatics Unit for the MMPC/DiaCompU24DK076169 · NIDDK · AUGUSTA UNIVERSITY · PI MCINDOE, RICHARD A. · 2006 to 2018
$42.4M
Vanderbilt Diabetes Research CenterP30DK020593 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI OWEN P MCGUINNESS · 2012 to 2026
$29.3M
TRANSGENIC MOUSE/ ES CELL SHARES RESOURCESP60DK020593 · NIDDK · VANDERBILT UNIVERSITY · PI ELASY, TOM A · 1986 to 2011
$28.1M
Vanderbilt Mouse Metabolic Physiology CenterU24DK059637 · NIDDK · VANDERBILT UNIVERSITY · PI WASSERMAN, DAVID H · 2001 to 2015
$14.9M
Vanderbilt Mouse Metabolic Phenotyping CenterU2CDK059637 · NIDDK · VANDERBILT UNIVERSITY · PI WASSERMAN, DAVID H · 2016 to 2021
$6.3M
Vanderbilt Center for Metabolic Phenotyping in Live Models of Obesity and DiabetesU2CDK135073 · NIDDK · VANDERBILT UNIVERSITY · PI Julio E Ayala · 2023 to 2026
$3.8M
Training in isotopic techniques for metabolic researchR25DK111362 · NIDDK · VANDERBILT UNIVERSITY · PI MCGUINNESS, OWEN P, PARKS, ELIZABETH JANE · 2018 to 2022
$528k
Training in isotopic techniques for metabolic researchR25DK137746 · NIDDK · VANDERBILT UNIVERSITY · PI OWEN P MCGUINNESS, ELIZABETH JANE PARKS · 2024 to 2026
$321k
HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) DK076169HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) R25DK111362HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) U2CDK059637HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) U2CDK135073NIDDK NIH HHS P30 DK020593NIDDK NIH HHS P60 DK020593NIDDK NIH HHS R25 DK111362NIDDK NIH HHS R25 DK137746NIDDK NIH HHS U24 DK059637NIDDK NIH HHS U24 DK076169NIDDK NIH HHS U2C DK059637NIDDK NIH HHS U2C DK135073VUMC | Vanderbilt Diabetes Research and Training Center, Vanderbilt University Medical Center (DRTC) P30DK020593
6 · The paper itself

Abstract

The COVID-19 pandemic and subsequent policies (e.g., social distancing, travel restrictions) challenged both organizers for and attendees of programs typically held in person. Many scientific training programs quickly adapted to virtual formats by incorporating digital assets developed for virtual learning and remote social engagement. At the outset, the value of continuing digital elements with future in-person events was unclear. To examine how virtual resources supported heterogeneous professional training programs, we reviewed survey data for a 14-year-old training program for scientific professionals titled "Isotope Tracers in Metabolic Research: Principles and Practice of Kinetic Analysis." We found a positive relationship between survey satisfaction and the postpandemic in-person program that included digital assets held in 2022 compared to prepandemic in-person programs. To better understand the postpandemic program satisfaction, we assessed the 2021 virtual course format and survey data. We found that although there was a desire to return to in-person programs, the digital assets and approaches were valued. In examining the individual programmatic elements in the 2022 in-person course, there was better "value and understandability" of lectures over previous in-person years. These findings highlight how incorporating new digital engagement strategies for professional development benefits even the most established programs in supporting heterogeneous learners.

Indexed as

COVID-19CurriculumEducation, DistanceHumansPandemicsPhysiologySARS-CoV-2digitalprofessional developmentprogramstrainingvideos

Identifiers

PMID38695083
PMCPMC11687954

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.