Evidence map›Paper›PMID 39283119›Full record

ArticleThe Journal of craniofacial surgery2024

Exploring 3D Printed Implants With Anti-Dropout Function to Overcome Time Constraints in Acute Orbital Fractures for Patient-Specific Implants.

Dong Ha Park, Jun Suk Lee, Yeon Kyo Jung, Hyoseob Lim

Abstract read
In one paragraph

Article in The Journal of craniofacial surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Dong Ha ParkDepartment of Plastic and Reconstructive Surgery, Ajou University School of Medicine, Suwon, Gyeonggi-do, Republic of Korea.
Jun Suk Lee
Yeon Kyo Jung

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Orbital wall reconstruction and implant insertion are crucial procedures for temporarily replacing the orbital walls in cases of significant fractures. Traditional methods using planar orbital implants have faced challenges owing to their flat shape, which increases the risk of dislocation from improper cuts and necessitates the use of screws in the orbital rim. This study aims to improve outcomes by employing customized 3-dimensional implants, thereby reducing complications and risk of dislocation resulting from external shock or implant weight postinsertion. This prospective study included 12 Korean individuals diagnosed with facial fractures (orbital wall injuries). Surgeries were performed on 12 patients, and follow-up CT scans were conducted on 10 of them. Therefore, the authors could only address the results for the 10 patients. The authors used bioactive glass ceramics and medical-grade poly-e-caprolactone to 3D print personalized implants, completing the manufacturing process in an average of 4.6 days. Computed tomography scans guided measurements of orbital volumes and exophthalmos. After surgery, we found that the difference values for bone orbital volumes (<0.1 mL) and exophthalmos (<1 mm except one) decreased compared with presurgery values. Independent t tests and Pearson correlation analysis revealed no significant changes between normal and affected sides in both phases. However, R-values increased in the postsurgery phase. Patients monitored postsurgery at 2 weeks, 3 months, and 6 months showed no complications. The 3D-printed patient-specific implants, customized to individual fracture shapes and featuring distinct implants and locking parts with notches, effectively restore bony orbital volumes and reduce exophthalmos. They have been proven feasible and applicable for reconstructing acute orbital wall fractures.

Identifiers

PMID39283119
PMCPMC11556838

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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.