Evidence map›Paper›PMID 37286621›Full record

ReviewOrthopadie (Heidelberg, Germany)2023

[Innovative image-based planning in musculoskeletal surgery].

Philipp Winter, Stephan Rother, Patrick Orth, Ekkehard Fritsch

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Orthopadie (Heidelberg, Germany), 2023. 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

4 authors.

Philipp WinterKlinik für Orthopädie und Orthopädische Chirurgie, Universität des Saarlandes, Kirrberger Str. 100, 66421, Homburg, Deutschland. philipp.winter@uks.eu.
Stephan RotherKlinik für Orthopädie und Orthopädische Chirurgie, Universität des Saarlandes, Kirrberger Str. 100, 66421, Homburg, Deutschland.
Patrick OrthKlinik für Orthopädie und Orthopädische Chirurgie, Universität des Saarlandes, Kirrberger Str. 100, 66421, Homburg, Deutschland.
Ekkehard FritschKlinik für Orthopädie und Orthopädische Chirurgie, Universität des Saarlandes, Kirrberger Str. 100, 66421, Homburg, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor the preparation of surgical procedures in orthopedics and trauma surgery, precise knowledge of imaging and the three-dimensional imagination of the surgeon are of outstanding importance. Image-based, preoperative two-dimensional planning is the gold standard in arthroplasty today. In complex cases, further imaging such as computed tomography (CT) or magnetic resonance imaging is also performed, generating a three-dimensional model of the body region and helping the surgeon in the planning of the surgical treatment. Four-dimensional, dynamic CT studies have also been reported and are available as a complementary tool. DIGITAL AIDS: Furthermore, digital aids should generate an improved representation of the pathology to be treated and optimize the surgeon's imagination. The finite element method allows patient-specific and implant-specific parameters to be taken into account in preoperative surgical planning. Intraoperatively, relevant information can be provided by augmented reality without significantly influencing the surgical workflow.

Indexed as

Acquired Immunodeficiency SyndromeAugmented RealitySurgery, Computer-AssistedFour-Dimensional Computed TomographyHumansMagnetic Resonance ImagingAugmented realityFinite element analysisFour-dimensional computed tomographySurgical diagnostic technicsThree-dimensional Imaging, computer generated

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.