Evidence map›Paper›PMID 41145260›Full record

ArticleBMJ open2025

Bridging the representation gap in the surgical workforce: a scoping review protocol of programmes and interventions to support surgical careers for underrepresented minority learners.

Aljeena R Qureshi, Negeen Halabian, Armaan K Malhotra, Meerab Majeed, Vidhi Bhatt, Ajibola Anifowose, Armaghan Alam, David-Dan Nguyen, Betel Yibrehu, Kennedy Ayoo and 3 more

Abstract read
In one paragraph

Article in BMJ open, 2025. 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

13 authors.

Aljeena R Qureshi *Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0001-9462-6482
Negeen Halabian *Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Armaan K Malhotra *Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada ak.malhotra@mail.utoronto.ca.
Meerab MajeedTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0003-1274-4616
Vidhi BhattTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Ajibola AnifowoseFaculty of Medicine and Dentistry, University of Alberta, Edmonton, Ontario, Canada.
Armaghan AlamTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
David-Dan NguyenTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Betel YibrehuTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Kennedy AyooTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Adom Bondzi-SimpsonTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0009-0002-3290-1009
Savtaj BrarTemerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
UpSurge Research Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDespite increasing proportions of underrepresented minority (URM) medical school graduates, their progression into surgical training and leadership remains disproportionately low. Barriers such as financial constraints, limited mentorship and implicit bias contribute to this disparity, creating a disconnect between the diversity of patient populations and those providing care. While interventions such as mentorship programmes and pipeline initiatives have been implemented, their overall effectiveness has not been systematically evaluated. The primary aim of this scoping review is to map the current landscape of interventions, programmes and policies designed to enhance access to surgical careers for URM learners. METHODS AND ANALYSIS: Searches will be conducted on EMBASE, Web of Science and OVID MEDLINE. Three independent reviewers will screen references, extract data and perform analyses with disagreements adjudicated by a fourth reviewer. This review will include studies conducted across all levels of training: secondary (high school or secondary school), postsecondary (undergraduate, medical school) and postgraduate (residency, fellowship), with no geographical restrictions. The definition of URM will be accepted as reported within each individual study, allowing for variability in racial, ethnic, gender, socioeconomic or other criteria. The review will include any structured interventions, programmes or policies aimed at increasing URM representation in surgical education. Data on the nature, duration and target population of each intervention will be extracted. The primary outcome will be the reported impact of interventions on URM representation or participation in surgical education. Secondary outcomes will include characteristics of the study participants, definitions of URM status and any qualitative or quantitative evaluations of intervention effectiveness. ETHICS AND DISSEMINATION: Research ethics approval is not required under University of Toronto policy. Study results will be reported according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines. Results will be disseminated to relevant stakeholders at conference presentation(s) and submitted for publication in a peer-reviewed journal.

Indexed as

Career ChoiceGeneral SurgeryMinority GroupsHumansMentorsResearch DesignScoping Reviews as TopicHealth EquityMEDICAL EDUCATION & TRAININGSchools, MedicalSexual and Gender MinoritiesSURGERY

Identifiers

PMID41145260
PMCPMC12570896

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.