Evidence map›Paper›PMID 29372352›Full record

ReviewWorld journal of urology2018

Three dimensional models in uro-oncology: a future built with additive fabrication.

Todd G Manning, Jonathan S O'Brien, Daniel Christidis, Marlon Perera, Jasamine Coles-Black, Jason Chuen, Damien M Bolton, Nathan Lawrentschuk

Abstract readReview
PubMed Publisher
In one paragraph

Review in World journal of urology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 14% of its field
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. 3D printing in medicine: bridging imaging, education, and practice.Archives of medical sciences. Atherosclerotic diseases · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Open partial nephrectomy: current review.Translational andrology and urology · 2020
    Review
  10. Review
  11. Review
  12. Article
  13. The Recent Progress and Applications of Digital Technologies in Healthcare: A Review.International journal of telemedicine and applications · 2020
    Review
  14. Review
  15. [Imaging in individualized uro-oncology].Der Urologe. Ausg. A · 2018
    Review
  16. 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

8 authors at 2 institutions in 1 country.

Todd G ManningDepartment of Surgery, Austin Health, University of Melbourne, Studley Road Heidelberg, Melbourne, VIC, 3088, Australia. doctor.tmanning@gmail.com.
Jonathan S O'BrienDepartment of Surgery, Austin Health, University of Melbourne, Studley Road Heidelberg, Melbourne, VIC, 3088, Australia.
Daniel ChristidisDepartment of Surgery, Austin Health, University of Melbourne, Studley Road Heidelberg, Melbourne, VIC, 3088, Australia.
Marlon PereraDepartment of Surgery, Austin Health, University of Melbourne, Studley Road Heidelberg, Melbourne, VIC, 3088, Australia.
Jasamine Coles-BlackDepartment of Surgery, Austin Health, University of Melbourne, Studley Road Heidelberg, Melbourne, VIC, 3088, Australia.
Jason ChuenDepartment of Surgery, Austin Health, University of Melbourne, Studley Road Heidelberg, Melbourne, VIC, 3088, Australia.
Damien M BoltonDepartment of Surgery, Austin Health, University of Melbourne, Studley Road Heidelberg, Melbourne, VIC, 3088, Australia.
Nathan LawrentschukDepartment of Surgery, Austin Health, University of Melbourne, Studley Road Heidelberg, Melbourne, VIC, 3088, Australia.
Austin Health · AUUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThree-dimensional (3D) printing was invented in 1983 but has only just begun to influence medicine and surgery. Conversion of digital images into physical models demonstrates promise to revolutionize multiple domains of surgery. In the field of uro-oncology, researchers and clinicians have recognized the potential of this technology and are working towards making it an integral part of urological practice. We review current literature regarding 3D printing and other 3D technology in the field of urology.

methodA comprehensive assessment of contemporary literature was performed according to a modified PRISMA analysis for the purposes of this narrative review article. Medical databases that were searched included: Web of Science, EMBASE and Cochrane databases. Articles assessed were limited only to English-language peer-reviewed articles published between 1980 and 2017. The search terms used were "3D", "3-dimensional", "printing", "printing technology", "urology", "surgery". Acceptable articles were reviewed and incorporated for their merit and relevance with preference given for articles with high impact, original research and recent advances.

resultsThirty-five publications were included in final analysis and discussion.

conclusionsThe area of 3D printing in Urology shows promising results, but further research is required and cost reduction must occur before clinicians fully embrace its use. As costs continue to decline and diversity of materials continues to expand, research and clinical utilization will increase. Recent advances have demonstrated the potential of this technology in the realms of education and surgical optimization. The generation of personalized organs using 3D printing scaffolding remains the 'holy grail' of this technology.

Indexed as

Models, AnatomicPrinting, Three-DimensionalUrologic Surgical ProceduresHumansMedical OncologyQuality ImprovementUrologic Neoplasms3D3-Dimensional3D printing3D reconstructionRobotic surgerySurgeryUrology

Identifiers

PMID29372352
OpenAlexW2786722096

What OpenQuestion holds

Textmetadata
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.