Evidence map›Paper›PMID 32355814›Full record

ArticleAnnals of translational medicine2020

The utility of 3-dimensional-printed models for skull base meningioma surgery.

Xiao-Yu Guo, Zhen-Qiang He, Hao Duan, Fu-Hua Lin, Guan-Hua Zhang, Xiang-Heng Zhang, Zheng-He Chen, Ke Sai, Xiao-Bing Jiang, Zhen-Ning Wang and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 24% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 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

13 authors at 3 institutions in 1 country.

Xiao-Yu GuoDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510000, China.
Zhen-Qiang HeDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510000, China.
Hao DuanDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510000, China.
Fu-Hua LinDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510000, China.
Guan-Hua ZhangDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510000, China.
Xiang-Heng ZhangDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510000, China.
Zheng-He ChenDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510000, China.
Ke SaiDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510000, China.
Xiao-Bing JiangDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510000, China.
Zhen-Ning WangDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510000, China.
Tian XieDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510000, China.
Zhong-Ping ChenDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510000, China.
Yong-Gao MouDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510000, China.
State Key Laboratory of Oncology in South ChinaSun Yat-sen University · CNSun Yat-sen University Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSkull base meningioma surgery is often difficult and complicated to perform. Therefore, this study aims to investigate the effectiveness of 3-dimensional (3D)-printed models of skull base meningioma in the representation of anatomical structures, the simulation of surgical plans, and patient education on surgical outcomes.

methodsA retrospective study of 35 patients (3D group: 19 patients and non-3D group: 16 patients) with skull base meningioma was conducted. Mimics software was used to create 3D reconstructions (with the skull, blood vessels, nerves, and tumors set to different colors), and 3D solid models were printed to determine the surgical protocols and communication pathways with the patient.

resultsThe 3D-printed model can visually display the relationship of different structures, including the skull, blood vessels, cranial nerves, and tumors. The surgeon should select the proper surgical approaches before surgery through the model and pay attention to protecting the important structures during the operation. According to the models, the surgeon should cut off the blood supply to the tumor to reduce intraoperative bleeding. For patients with skull base bone destruction, the skull base repair should be prepared in advance. Patients and their families should have a thorough understanding of the disease through the model, and there should be effective communication between doctors and patients.

conclusionsThe 3D-printed model of a skull base meningioma can present the structures in a detailed manner and facilitate in helping the surgeon to develop a surgical plan. At the same time, it helps patients and their families to understand the condition and the surgical plan, which is conducive to better patient education.

Indexed as

3-dimensional printing (3D printing)anatomymeningiomapatient educationskull base surgery

Identifiers

PMID32355814
PMCPMC7186736
OpenAlexW3007957208

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.