Evidence map›Paper›PMID 29616168›Full record

ArticlePlastic and reconstructive surgery. Global open2018

Personalized 3D Printed Surgical Tool for Guiding the Chisel during Hump Reduction in Rhinoplasty.

Hugo Herrero Antón de Vez, Javier Herrero Jover, Claudio Silva-Vergara

Open access · goldAbstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 16 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Hugo Herrero Antón de VezDepartment of Plastic Surgery, Herrero Jover Médicos, CM Teknon Barcelona, Spain.
Javier Herrero JoverDepartment of Plastic Surgery, Herrero Jover Médicos, CM Teknon Barcelona, Spain.
Claudio Silva-VergaraDepartment of Plastic Surgery, Herrero Jover Médicos, CM Teknon Barcelona, Spain.
Hospital Quirón Teknon · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The authors aimed to present an introduction of patient-specific model in rhinoplasty by introducing a 3D printed surgical guide designed and adapted in an individualized manner for guiding dorsal hump reduction. To introduce the tool, we have designed a six step workflow. First, we obtain a digital 3D model of patient anatomy using computed tomography (CT) images. Second, we conduct a surgical preoperative planning of the rhinoplasty on the mentioned model. Third step consists of designing the guide, while taking into account nasal anthropometries and resection objectives. Fourth step is printing the guide and sterilizing it. Fifth step is performing the surgery. The last step is analyzing the main outcomes of the surgery. Our surgical guide allowed us to perform only 1 step osteotomy instead of the usual multistep osteotomy and remove exactly the amount of dorsum that we decided to remove during the preoperative planning. The duration of intervention was considerably shorter than conventional osteotomy. Using the guide was technically easier than the conventional method and reduced the learning curve from years to minutes (once the guide is printed). Moreover, the patient understanding of the procedure was significantly better after showing the 3D model of the surgery. The surgical guide allows a surgeon to transfer with extreme simplicity the presurgical planning to the surgical field. We have to point out that the design of the study does not allow us to quantify predictability, so future studies are needed to demonstrate an accuracy benefit over the former techniques.

Identifiers

PMID29616168
PMCPMC5865916
OpenAlexW2789739751

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.