Evidence map›Paper›PMID 38716732›Full record

ArticleJCI insight2024

The National MD-PhD Program Outcomes Study: career paths followed by Black and Hispanic graduates.

Myles H Akabas, Lawrence F Brass

Abstract read
In one paragraph

Article in JCI insight, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Myles H AkabasNeuroscience and Medicine, Albert Einstein College of Medicine, Bronx, New York, USA.
Lawrence F BrassMedicine and Pharmacology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.

Funding

Medical Scientist Training ProgramT32GM148377 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI Michael Lee Atchison, LAWRENCE F BRASS · 2023 to 2026
$12.0M
Medical Scientist Training ProgramT32GM149364 · NIGMS · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI Myles H. Akabas · 2023 to 2026
$7.5M
NIGMS NIH HHS T32 GM148377NIGMS NIH HHS T32 GM149364
6 · The paper itself

Abstract

Previous studies on attrition from MD-PhD programs have shown that students who self-identify as Black are more likely to withdraw before graduating than Hispanic students and students not from groups underrepresented in medicine (non-UIM). Here, we analyzed data collected for the National MD-PhD Program Outcomes Study, a national effort to track the careers of over 10,000 individuals who have graduated from MD-PhD programs over the past 60 years. On average, Black trainees took slightly longer to graduate, were less likely to choose careers in academia, and were more likely to enter nonacademic clinical practice; although, none of these differences were large. Black graduates were also more likely to choose careers in surgery or internal medicine, or entirely forego residency, and less likely to choose pediatrics, pathology, or neurology. Among those in academia, average research effort rates self-reported by Black, Hispanic, and non-UIM alumni were indistinguishable, as were rates of obtaining research grants and mentored training awards. However, the proportion of Black and Hispanic alumni who reported having NIH research grants was lower than that of non-UIM alumni, and the NIH career development to research project grant (K-to-R) conversion rate was lower for Black alumni. We propose that the reasons for these differences reflect experiences before, during, and after training and, therefore, conclude with action items that address each of these stages.

Indexed as

Black or African AmericanCareer ChoiceHispanic or LatinoAdultBiomedical ResearchEducation, GraduateFemaleHumansMaleUnited States

Identifiers

PMID38716732
PMCPMC11141911

What OpenQuestion holds

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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.