ArticleNeurology2021
Career Development Program for Underrepresented in Medicine Scholars in Academic Neurology: TRANSCENDS.
Article in Neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- Health disparities in neurology.Nature reviews. Neurology · 2025Review
- Mentorship Interventions in Postgraduate Medical and STEM Settings: A Scoping Review.CBE life sciences education · 2024Article
- Building an ethnically and racially diverse neurology workforce.Nature reviews. Neurology · 2024Review
- Education Research: Observational Study of Educational Debt Among US Medical Graduates Entering Neurology, 2010-2021.Neurology. Education · 2024Article
- Review
- Underrepresentation of Hispanic women in science, technology, engineering, mathematics, and medicine.CA: a cancer journal for cliniciansArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundThe Training in Research for Academic Neurologists to Sustain Careers and Enhance the Numbers of Diverse Scholars (TRANSCENDS) program is a career advancement opportunity for individuals underrepresented in biomedical research funded by the National Institute of Neurologic Disorders and Stroke and American Academy of Neurology (AAN).
objectiveTo report on qualitative and quantitative outcomes in TRANSCENDS.
designEarly career individuals (neurology fellows and junior faculty) from groups underrepresented in medicine (UIM) were competitively selected from a national pool of applicants (2016-2019). TRANSCENDS activities comprised an online Clinical Research degree program, monthly webinars, AAN meeting activities, and mentoring. Participants were surveyed during and after completion of TRANSCENDS to evaluate program components. OUTCOMES: Of 23 accepted scholars (comprising 4 successive cohorts), 56% were women, 61% Hispanic/Latinx, 30% Black/African American, and 30% assistant professors. To date, 48% have graduated the TRANSCENDS program and participants have published 180 peer-reviewed articles. Mentees' feedback noted that professional skills development (i.e., manuscript and grant writing), networking opportunities, and mentoring were the most beneficial elements of the program. Stated opportunities for improvement included incorporating a mentor-the-mentor workshop, providing more transitional support for mentees in the next stage of their careers, and requiring mentees to provide quarterly reports.
conclusionsTRANSCENDS is a feasible program for supporting UIM neurologists towards careers in research and faculty academic appointments attained thus far have been sustained. Although longer-term outcomes and process enhancements are warranted, programs like this may help increase the numbers of diverse academic neurologists and further drive neurologic innovation.
Identifiers
What OpenQuestion holds
Registered trials
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.