Evidence map›Paper›PMID 36622212›Full record

ArticleAnnals of the Royal College of Surgeons of England2023

The perioperative utility of 3D printed models in complex surgical care: feedback from 106 cases.

C Thorn, J Ballard, C Lockhart, A Crone, A Aarvold

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In one paragraph

Article in Annals of the Royal College of Surgeons of England, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Innovation Editorial.Annals of the Royal College of Surgeons of England · 2023
    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

5 authors.

C ThornUniversity of Southampton, UK.
J BallardBelfast Health and Social Care Trust, Belfast, UK.
C LockhartBelfast Health and Social Care Trust, Belfast, UK.
A CroneBelfast Health and Social Care Trust, Belfast, UK.
A AarvoldUniversity Hospital Southampton NHS Foundation Trust, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introduction3D models are an emerging tool for surgical planning, providing an augmented method for the visualisation of a patient's anatomy. As their use increases, more data about the utility of these models is critical to inform budget allocation. This study provides the most comprehensive analysis to date for the use of 3D models in perioperative management.

methods3D models for complex surgical cases in NHS hospitals were delivered alongside a surgeon feedback survey. The survey on the model's utility had been designed alongside the university data analytical team and focused on five areas: surgical planning and diagnosis, economic impact, impact on intraoperative and preoperative time, effect on communication and direct impact on the patient.

resultsThere were 106 models used by 63 surgeons for complex surgical cases between May 2020 and March 2021, across multiple surgical specialties. The models were reported to have benefits in all perioperative areas, with 92.5% of responses agreeing that the 3D model was a better method for diagnosis and planning than traditional 2D techniques. Benefits were reported on preoperative planning (92.4%), economic savings due to equipment selection (54.4%), reduction in surgical time (41.5%) and surgeon-to-surgeon communication (92.6%).

conclusion3D models were shown to have a wide range of benefits in a surgical setting. The reduction in surgical time could have the potential to help alleviate surgical backlogs. With more widespread use and optimisation of costs the use of 3D models could become the standard for unusual and complex surgical cases.

Indexed as

Specialties, SurgicalSurgeonsFeedbackHumansImaging, Three-DimensionalPrinting, Three-Dimensional3D printed modelsComplex surgeryImaging modalitiesPreoperative planningSurgical planning

Identifiers

PMID36622212
PMCPMC10618040

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.