Evidence map›Paper›PMID 40064703›Full record

ReviewUnfallchirurgie (Heidelberg, Germany)2025

[3D printing/implants in traumatology].

Nico Bruns, Mohamed Omar

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Unfallchirurgie (Heidelberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Nico BrunsKlinik für Unfallchirurgie, Medizinische Hochschule Hannover, Carl-Neuberg-Straße 1, 30625, Hannover, Deutschland. bruns.nico@mh-hannover.de.
Mohamed OmarKlinik für Unfallchirurgie, Medizinische Hochschule Hannover, Carl-Neuberg-Straße 1, 30625, Hannover, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of 3D printing offers numerous application possibilities in traumatology, including anatomic models, repositioning and drilling guides as well as patient-specific implants. The greatest challenge lies in the rapid availability as many procedures require an immediate intervention. Anatomic models support surgical planning by complementing visual impressions with tactile ones. Printed models not only help in the establishment of surgical strategies but also enhance patient clarification. Studies demonstrate that these models significantly reduce the operating time, duration of fluoroscopy and blood loss, particularly for joint fractures. Repositioning and drilling guides simplify complex procedures and improve outcomes; however, they require precise planning and critical evaluation by the surgeon. Intraoperative guides are helpful, for instance, in accurately placing screws, especially in difficult to access areas or in metaphyseal fractures lacking clear references. Individualized implants play a lesser role in acute care but are useful for posttraumatic defects or corrective osteotomy. In the conservative segment, such as customized splints, 3D printing is being tested but with mixed results. Key requirements for 3D printing in traumatology include high-resolution computed tomography (CT), precise data processing and swift production. Regulatory hurdles and lack of reimbursement currently limit the widespread use. An optimized collaboration between technology and medicine, along with standardized processes, are essential for effectively integrating this technology into practice.

Indexed as

Printing, Three-DimensionalProstheses and ImplantsTraumatologyFractures, BoneHumansModels, AnatomicTomography, X-Ray ComputedAnatomic modelsDrilling guidesPatient-specific toolsRepositioning aidsSurgical planning

Identifiers

What OpenQuestion holds

Textmetadata
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.