Evidence map›Paper›PMID 40350198›Full record

ArticleBMJ open2025

Use of 3D printed head and neck models for simulating 10 common ENT emergency procedures: a prospective validation study.

Umar Rehman, Dermot Colton, Sanjeev Gupta, Praneta Kulloo, Ananth Vijendren, James Howard, Purnima Sangwan, Cameron Davies-Husband, James Rudd, Max Whittaker and 9 more

Abstract readValidation Study
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

19 authors.

Umar RehmanUCL Division of Surgery & Interventional Science, London, UK.ORCID http://orcid.org/0000-0002-4856-3414
Dermot ColtonCity and Hackney Teaching Primary Care Trust, London, UK.
Sanjeev GuptaSheffield Children's Hospital, Sheffield, UK.
Praneta KullooUniversity Hospital Lewisham, London, UK.
Ananth VijendrenEast and North Hertfordshire NHS Trust, Stevenage, UK.
James HowardWrexham Maelor Hospital, Wrexham, UK.
Purnima SangwanHomerton Healthcare NHS Foundation Trust, London, UK.
Cameron Davies-HusbandCharing Cross Hospital, London, UK.
James RuddRoyal Free London NHS Foundation Trust, London, UK.
Max WhittakerHomerton Healthcare NHS Foundation Trust, London, UK.
Kate StephensonBirmingham Children's Hospital NHS Foundation Trust, Birmingham, UK.
Claudia TaylorDepartment of Head and Neck Surgery, Addenbrooke's Hospital, Cambridge, UK.
Phoebe RocheDepartment of Head and Neck Surgery, Addenbrooke's Hospital, Cambridge, UK.
Nicholas Eynon-LewisThe Royal London Hospital, London, UK.
Yogesh BajajThe Royal London Hospital, London, UK.
Andrew LauManchester Royal Infirmary, Manchester, UK.
Saleh OkhovatGlasgow Royal Infirmary, Glasgow, UK.
Matt RollinImperial College Healthcare NHS Trust, London, UK.
Matt LechnerUCL Division of Surgery & Interventional Science, London, UK m.lechner@ucl.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to validate a high-fidelity three-dimensional (3D)-printed head and neck model for training emergency medicine (EM) physicians, primary care physicians and allied health professionals in managing 10 common ear, nose and throat (ENT) emergencies.

settingThe study was conducted at an ENT Emergencies course in London. STUDY

designProspective validation study.

participantsAll delegates (n=90) were healthcare professionals. Among them, 60% (n=54) were EM residents/trainees, 28% (n=25) were primary care residents/trainees, 4% (n=4) were ENT residents/trainees, 4% (n=4) were emergency nurse practitioners, 2% (n=2) were primary care attending physicians and 1% (n=1) was an EM attending/consultant. All faculty were consultant ENT surgeons (n=11).

interventionThe 3D models, produced using proprietary 3D printing technology (Fuesetec), were used in a 1-day ENT emergencies course for validating training and confidence of delegates in performing 10 common ENT emergencies.

resultsA total of 86% (n=77) of delegates found the models extremely or very helpful in learning ENT emergencies. Delegates rated the resemblance to real patients as excellent or very good in both haptic feedback (n=58, 64%) and tissue texture (n=67, 74%). Additionally, 74%-96% of delegates felt confident in performing the 10 ENT procedures after using the models.

conclusionsThe 3D models enhanced participant confidence in performing 10 common ENT emergency procedures, demonstrating good face, content and indirect criterion validity. These models could support emergency ENT skill development in local emergency departments.

Indexed as

Emergency MedicineHeadModels, AnatomicNeckOtolaryngologyPrinting, Three-DimensionalClinical CompetenceEmergenciesHumansLondonProspective StudiesACCIDENT & EMERGENCY MEDICINEOTOLARYNGOLOGYPrimary Care

Identifiers

PMID40350198
PMCPMC12067831

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.