Evidence map›Paper›PMID 34430562›Full record

ArticleAnnals of translational medicine2021

Biomechanical testing of three coracoclavicular ligament reconstruction techniques with a 3D printing navigation template for clavicle-coracoid drilling.

Ji Qi, Shijie Fu, Ruiyue Ping, Kai Wu, Ziyu Feng, Yanxiao Xu, Xiaoguang Guo, Dingkun Lin, Lei Zhang

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

3 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

9 authors at 5 institutions in 1 country.

Ji QiDepartment of Orthopaedics, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China.
Shijie FuDepartment of Orthopaedics, Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China.
Ruiyue PingDepartment of Orthopaedics, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China.
Kai WuThe First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Ziyu FengSouthern Medical University, Guangzhou, China.
Yanxiao XuSuzhou Yongding Hospital, Suzhou, China.
Xiaoguang GuoDepartment of Orthopaedics, Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China.
Dingkun LinDepartment of Orthopaedics, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China.
Lei ZhangDepartment of Orthopaedics, Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China.
Guangzhou University of Chinese Medicine · CNSouthwest Medical University · CNFirst Affiliated Hospital of Guangzhou University of Chinese Medicine · CNGuangdong Provincial Hospital of Traditional Chinese Medicine · CNSuzhou Yongding Hospital

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe identification and precise clavicle-coracoid drilling during coracoclavicular (CC) ligament reconstruction for acromioclavicular (AC) joint dislocation require a high level of experience and surgical skills. Furthermore, the improvement of flexible fixation, such as Endobutton techniques for CC ligament reconstructions is ongoing. We have developed a 3D printing technique navigation template for clavicle-coracoid drilling and a novel implant for the reconstruction. This study aimed to determine the efficiency of the navigation template for clavicle-coracoid drilling and to evaluate the biomechanical performance of the novel CC ligament reconstruction technique.

methodsA total of 24 fresh-frozen human cadaveric shoulders were randomly assigned to 1 of 3 reconstruction groups or a control group: TightRope, Triple Endobutton, and the Adjustable Closed-Loop Double Endobutton technique. Computed tomography scans, navigation template designs, and 3D printing were performed for the shoulders. Then, AC joint dislocation was simulated in the reconstruction groups, and 3 CC ligament reconstruction techniques were operated via the 3D printing template separately. Furthermore, biomechanical protocols including the translation test (load from 5 to 70 N) and the load-to-failure test were performed to characterize the behaviors and strengths. One-way ANOVA test analyzed differences in displacement under the translation load and the load at failure.

resultsCC ligament reconstructions were performed successfully along with the 3D printing navigation template in the 3 reconstruction groups. During the translation test, no significant difference was found in displacements among the 4 groups. Meanwhile, the mean load of all reconstruction groups at failure (Adjustable Closed-Loop Double Endobutton, 722.1620 N; TightRope, 680.4020 N; Triple Endobutton, 868.5762 N) was significantly larger than the control group (564.6264 N, P<0.05). The Triple Endobutton group had the maximum load at failure (P<0.05), however, no significant difference was noticed between the other 2 reconstruction groups (P>0.05).

conclusionsThe 3D printing navigation template may become helpful and reliable for AC joint dislocation surgery. Among the 3 CC ligament reconstruction techniques, the Triple Endobutton technique has the best strength in terms of biomechanics, while the biomechanical strength of the Adjustable Closed-Loop Double Endobutton technique is reliable in comparison with the TightRope technique.

Indexed as

3D printingAcromioclavicular joint dislocationbiomechanicscoracoclavicular ligament reconstructionEndobutton

Identifiers

PMID34430562
PMCPMC8350707
OpenAlexW3180104928

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.