Evidence map›Paper›PMID 35349074›Full record

SynthesisJournal of robotic surgery2023

3D printed patient-specific prostate cancer models to guide nerve-sparing robot-assisted radical prostatectomy: a systematic review.

Jasamine Coles-Black, Sean Ong, Jiasian Teh, Paul Kearns, Joseph Ischia, Damien Bolton, Nathan Lawrentschuk

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of robotic surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Review
  6. 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

7 authors.

Jasamine Coles-BlackDepartment of Surgery, Austin Health, University of Melbourne, 145 Studley Road, Heidelberg, Melbourne, VIC, 3084, Australia. JasamineCB@gmail.com.ORCID http://orcid.org/0000-0002-8358-3779
Sean OngDepartment of Surgery, Austin Health, University of Melbourne, 145 Studley Road, Heidelberg, Melbourne, VIC, 3084, Australia.ORCID http://orcid.org/0000-0003-1117-2409
Jiasian TehDepartment of Surgery, Austin Health, University of Melbourne, 145 Studley Road, Heidelberg, Melbourne, VIC, 3084, Australia.
Paul KearnsEJ Whitten Prostate Cancer Research Centre, Epworth Healthcare, Melbourne, Australia.
Joseph IschiaDepartment of Surgery, Austin Health, University of Melbourne, 145 Studley Road, Heidelberg, Melbourne, VIC, 3084, Australia.
Damien BoltonDepartment of Surgery, Austin Health, University of Melbourne, 145 Studley Road, Heidelberg, Melbourne, VIC, 3084, Australia.
Nathan LawrentschukYoung Urology Researchers Organisation (YURO), Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precise knowledge of each patient's index cancer and surrounding anatomy is required for nerve-sparing robot-assisted radical prostatectomy (NS-RARP). Complementary to this, 3D printing has proven its utility in improving the visualisation of complex anatomy. This is the first systematic review to critically assess the potential of 3D printed patient-specific prostate cancer models in improving visualisation and the practice of NS-RARP. A literature search of PubMed and OVID Medline databases was performed using the terms "3D Printing", "Robot Assisted Radical Prostatectomy" and related index terms as per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Eight articles were included; six were identified via database searches, to which a further two articles were located via a snowballing approach. Eight papers were identified for review. There were five prospective single centre studies, one case series, one technical report and one letter to the editor. Of these articles, five publications (62.5%) reported on the utility of 3D printed models for NS-RARP planning. Two publications (25%) utilised 3D printed prostate models for simulation and training, and two publications (25%) used the models for patient engagement. Despite the nascency of the field, 3D printed models are emerging in the uro-oncological literature as a useful tool in visualising complex anatomy. This has proven useful in NS-RARP for preoperative planning, simulation and patient engagement. However, best practice guidelines, the future regulatory landscape, and health economic considerations need to be addressed before this synergy of new technologies is ready for the mainstream.

Indexed as

Prostatic NeoplasmsRoboticsRobotic Surgical ProceduresHumansMalePrinting, Three-DimensionalProspective StudiesProstateProstatectomyTreatment Outcome3D printingNS-RARPProstate cancerRARPRobotic surgery

Identifiers

PMID35349074
PMCPMC9939493

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.