Evidence map›Paper›PMID 39902432›Full record

ArticleJournal of maxillofacial and oral surgery2025

Are We Overlooking Vascular Anomalies in Oral and Maxillofacial Surgical Training?

Jordan Middleton, Gerardo A Alvarez, Sheridan Danquah, Navkiran Deol, Salim Afshar

Abstract read
In one paragraph

Article in Journal of maxillofacial and oral surgery, 2025. 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

5 authors.

Jordan MiddletonBoston Medical Center, Boston, MA USA.
Gerardo A AlvarezHarvard School of Dental Medicine, DMD'25 188 Longwood Avenue, Boston, MA 02115 USA.
Sheridan DanquahHarvard School of Dental Medicine, DMD'25 188 Longwood Avenue, Boston, MA 02115 USA.
Navkiran DeolHarvard School of Dental Medicine, DMD'25 188 Longwood Avenue, Boston, MA 02115 USA.ORCID 0009-0009-5078-6607
Salim AfsharDepartment of Plastic and Oral Surgery, Boston Children's Hospital, Boston, MA USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Treating vascular anomalies (VAs) in the head and neck is challenging for resident physicians due to evolving educational approaches. This survey assessed oral and maxillofacial surgery (OMFS) residents' exposure, education, and comfort in managing patients with VAs. Methods: The Boston Children's Hospital Vascular Anomalies Center distributed a 15-question survey to 108 program/fellowship directors and 633 OMFS residents in the U.S. The survey included questions on demographics, education, exposure, VA management, and the role of oral health professionals. It was sent on 5/10/2022, with a reminder on 5/17/2022. Statistical significance set at Results: Of 633 residents contacted, 98 (15.5%) responded, with 91 (14.4%) completing the survey. Among them, 57.1% were in dual degree programs, and 42.9% in single degree programs. Over half (56%) had no experience with VA care teams, and 35.2% lacked specific VA education. Only 23.1% trained at facilities with interdisciplinary VA clinics. While 67% had VA case exposure, 33% felt unconfident in treating head and neck vascular lesions or managing oral health for VA patients. Conclusion: The study highlights limited exposure and education on VAs among OMFS residents, underscoring the need to include VAs in the OMFS curriculum and expand interdisciplinary VA clinics in OMFS programs.

Indexed as

EducationOral and maxillofacial surgery (OMFS)Oral surgeryVascular anomaliesVascular malformations

Identifiers

PMID39902432
PMCPMC11787081

What OpenQuestion holds

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Registered trials

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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.