Evidence map›Paper›PMID 36117842›Full record

ReviewFrontiers in surgery2022

Consequences of inequity in the neurosurgical workforce: Lessons from traumatic brain injury.

Shivani Venkatesh, Marcela Bravo, Tory Schaaf, Michael Koller, Kiera Sundeen, Uzma Samadani

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in surgery, 2022. 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
2.1field-weighted citation impact, top 13% of its field
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, 7 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Shivani VenkateshDepartment of Bioinformatics and Computational Biology, University of Minnesota, Minneapolis, MN United States.
Marcela BravoDepartment of Bioinformatics and Computational Biology, University of Minnesota, Minneapolis, MN United States.
Tory SchaafSurgical Services, Minneapolis VA Medical Center, Minneapolis, MN United States.
Michael KollerDepartment of Bioinformatics and Computational Biology, University of Minnesota, Minneapolis, MN United States.
Kiera SundeenDepartment of Bioinformatics and Computational Biology, University of Minnesota, Minneapolis, MN United States.
Uzma SamadaniDepartment of Bioinformatics and Computational Biology, University of Minnesota, Minneapolis, MN United States.
University of Minnesota · USMinneapolis VA Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Women and minorities leave or fail to advance in the neurosurgical workforce more frequently than white men at all levels from residency to academia. The consequences of this inequity are most profound in fields such as traumatic brain injury (TBI), which lacks objective measures. We evaluated published articles on TBI clinical research and found that TBI primary investigators or corresponding authors were 86·5% White and 59·5% male. First authors from the resulting publications were 92.6% white. Most study participants were male (68%). 64·4% of NIH-funded TBI clinical trials did not report or recruit any black subjects and this number was even higher for other races and the Hispanic ethnicity. We propose several measures for mitigation of the consequences of the inequitable workforce in traumatic brain injury that could potentially contribute to more equitable outcomes. The most immediately feasible of these is validation and establishment of objective measures for triage and prognostication that are less susceptible to bias than current protocols. We call for incorporation of gender and race neutral metrics for TBI evaluation to standardize classification of injury. We offer insights into how socioeconomic factors contribute to increased death rates from women and minority groups. We propose the need to study how these disparities are caused by unfair health insurance reimbursement practices. Surgical and clinical research inequities have dire consequences, and until those inequities can be corrected, mitigation of those consequences requires system wide change.

Indexed as

clinical researchconcussioninequitymachine learning traumatic brain injurymortalityracesex

Identifiers

PMID36117842
PMCPMC9475291
OpenAlexW4294308533

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.