Evidence map›Paper›PMID 33719205›Full record

ArticleOrthopaedic surgery2021

Usefulness of a Three-Dimensional-Printed Model in the Treatment of Irreducible Atlantoaxial Dislocation with Transoral Atlantoaxial Reduction Plate.

Qiang Tu, Hu Chen, Xiang-Yang Ma, Jian-Hua Wang, Kai Zhang, Jian-Zhong Xu, Hong Xia

Open access · goldAbstract read
In one paragraph

Article in Orthopaedic surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 7 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

7 authors at 2 institutions in 2 countries.

Qiang Tu *Department of Orthopaedics, General Hospital of Southern Theatre Command of PLA, Guangzhou, China.
Hu Chen *Department of Orthopaedics, General Hospital of Southern Theatre Command of PLA, Guangzhou, China.
Xiang-Yang MaDepartment of Orthopaedics, General Hospital of Southern Theatre Command of PLA, Guangzhou, China.
Jian-Hua WangDepartment of Orthopaedics, General Hospital of Southern Theatre Command of PLA, Guangzhou, China.
Kai ZhangDepartment of Orthopaedics, General Hospital of Southern Theatre Command of PLA, Guangzhou, China.
Jian-Zhong XuDepartment of Orthopaedics, Southwest Hospital, Third Military Medical University, Chongqing, China.
Hong XiaDepartment of Orthopaedics, General Hospital of Southern Theatre Command of PLA, Guangzhou, China.ORCID https://orcid.org/0000-0003-3651-8410
Third Affiliated Hospital of Southern Medical University · CNArmy Medical University · CN

Funding

Army logistics research project CLB20J033Military Medical Science and Technology Youth Cultivation Program Incubation Project NO.19QNP040PhD projects of Third Military Medical University NO.JSKT201904the Science and Technology Planning Project of Guangzhou City NO.201904010349
6 · The paper itself

Abstract

objectiveTo evaluate the usefulness of a 3D-printed model for transoral atlantoaxial reduction plate (TARP) surgery in the treatment of irreducible atlantoaxial dislocation (IAAD).

methodsA retrospective review was conducted of 23 patients (13 men, 10 women; mean age 58.17 ± 5.27 years) with IAAD who underwent TARP from January 2015 to July 2017. Patients were divided into a 3D group (12 patients) and a non-3D group (11 patients). A preoperative simulation process was undertaken for the patients in the 3D group, with preselection of the TARP system using a 3D-printed 1:1 scale model, while only imaging data was used for the non-3D group. Complications, clinical outcomes (Japanese Orthopaedic Association [JOA] and visual analogue score [VAS]), and image measurements (atlas-dens interval [ADI], cervicomedullary angle [CMA], and clivus-canal angle [CCA]) were noted preoperatively and at the last follow up.

resultsA total of 23 patients with a follow-up time of 16.26 ± 4.27 months were included in the present study. The surgery duration, intraoperative blood loss, and fluoroscopy times in the 3D group were found to be shorter than those in non-3D group, with statistical significance. The surgery duration was 3.29 ± 0.45 h in the 3D group and 4.68 ± 0.90 h in the non-3D group, and the estimated intraoperative blood loss was 131.67 ± 43.03 mL in the 3D group and 185.45 ± 42.28 mL in the non-3D group. No patients received blood transfusions. The intraoperative fluoroscopy times were 5.67 ± 0.89 in the 3D group and 7.91 ± 1.45 in the non-3D group. Preoperatively and at last follow up, JOA and VAS scores and ADI, CCA, and CMA were improved significantly within the two groups. However, no statistical difference was observed between the two groups. However, surgical site infection occurred in 1 patient in the 3D group, who underwent an emergency revision operation of the removal of TARP device and posterior occipitocervical fixation; the patient recovered 2 weeks after the surgery. In 2 patients in the traditional group, a mistake occurred in the placement of screws, with no neurological symptoms related to the misplacement.

conclusionPreoperative surgical simulation using a 3D-printed real-size model is an intuitive and effective aid for TARP surgery for treating IAAD. The 3D-printed biomodel precisely replicated patient-specific anatomy for use in complicated craniovertebral junction surgery. The information was more useful than that available with 3D reconstructed images.

Indexed as

Patient-Specific ModelingPrinting, Three-DimensionalAtlanto-Axial JointBone PlatesBone ScrewsFemaleHumansJoint DislocationsMaleMiddle AgedPain MeasurementPatient Care PlanningRetrospective StudiesSpinal FusionAtlantoaxial dislocationDecompressionThree-dimensional printingTransoral

Identifiers

PMID33719205
PMCPMC8126926
OpenAlexW3135942109

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LicenceCC BY
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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.