Evidence map›Paper›PMID 35290958›Full record

SynthesisBMJ paediatrics open2021

Role of 3D printing technology in paediatric teaching and training: a systematic review.

Ashar Asif, Elgin Lee, Massimo Caputo, Giovanni Biglino, Andrew Ian Underwood Shearn

Abstract readSystematic Review
In one paragraph

Synthesis in BMJ paediatrics open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Pediatrics 4.0: the Transformative Impacts of the Latest Industrial Revolution on Pediatrics.Health care analysis : HCA : journal of health philosophy and policy · 2026
    Article
  6. Three-Dimensional Printing in Pediatric Orthopaedics: Cost Analysis and Emerging Applications.Journal of the Pediatric Orthopaedic Society of North America · 2026
    Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
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.

Ashar AsifBristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0002-9361-1083
Elgin LeeChildren's Services Directorate, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK.ORCID 0000-0002-0054-1574
Massimo CaputoBristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0001-7508-0891
Giovanni BiglinoBristol Heart Institute, University Hospitals Bristol and Weston NHS Trust, Bristol, UK.ORCID 0000-0003-0413-149X
Andrew Ian Underwood ShearnBristol Medical School, University of Bristol, Bristol, UK andrew.shearn@bristol.ac.uk.ORCID 0000-0002-3741-9118

Funding

British Heart Foundation CH/17/1/32804British Heart Foundation PG/15/33/31394
6 · The paper itself

Abstract

backgroundIn the UK, undergraduate paediatric training is brief, resulting in trainees with a lower paediatric knowledge base compared with other aspects of medicine. With congenital conditions being successfully treated at childhood, adult clinicians encounter and will need to understand these complex pathologies. Patient-specific 3D printed (3DP) models have been used in clinical training, especially for rarer, complex conditions. We perform a systematic review to evaluate the evidence base in using 3DP models to train paediatricians, surgeons, medical students and nurses.

methodsOnline databases PubMed, Web of Science and Embase were searched between January 2010 and April 2020 using search terms relevant to "paediatrics", "education", "training" and "3D printing". Participants were medical students, postgraduate trainees or clinical staff. Comparative studies (patient-specific 3DP models vs traditional teaching methods) and non-comparative studies were included. Outcomes gauged objective and subjective measures: test scores, time taken to complete tasks, self-reported confidence and personal preferences on 3DP models. If reported, the cost of and time taken to produce the models were noted.

resultsFrom 587 results, 15 studies fit the criteria of the review protocol, with 5/15 being randomised controlled studies and 10/15 focussing on cardiovascular conditions. Participants using 3DP models demonstrated improved test scores and faster times to complete procedures and identify anatomical landmarks compared with traditional teaching methods (2D diagrams, lectures, videos and supervised clinical events). User feedback was positive, reporting greater user self-confidence in understanding concepts with users wishing for integrated use of 3DP in regular teaching. Four studies reported the costs and times of production, which varied depending on model complexity and printer. 3DP models were cheaper than 'off-the-shelf' models available on the market and had the benefit of using real-world pathologies. These mostly non-randomised and single-centred studies did not address bias or report long-term or clinically translatable outcomes.

conclusions3DP models were associated with greater user satisfaction and good short-term educational outcomes, with low-quality evidence. Multicentred, randomised studies with long-term follow-up and clinically assessed outcomes are needed to fully assess their benefits in this setting. PROSPERO REGISTRATION NUMBER: CRD42020179656.

Indexed as

Printing, Three-DimensionalStudents, MedicalAdultChildDelivery of Health CareHumanscardiologydata collectioninformation technologyneurosurgerytechnology

Identifiers

PMID35290958
PMCPMC8655595

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.