Evidence map›Paper›PMID 39441365›Full record

ArticleArchives of orthopaedic and trauma surgery2024

Algorithms in acetabular fracture classifications.

Axel Gänsslen, Jerome Tonetti, Tim Pohlemann

Abstract read
In one paragraph

Article in Archives of orthopaedic and trauma surgery, 2024. 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

3 authors.

Axel GänsslenDepartment of Trauma Surgery, Hannover Medical School, Hannover, Germany. dr.gaensslen@gmx.de.ORCID http://orcid.org/0000-0003-2186-5049
Jerome TonettiDepartment of Orthopaedic and Trauma Surgery, Medical University Innsbruck, Innsbruck, Austria.
Tim PohlemannDepartment of Trauma, Hand and Reconstructive Surgery, Saarland University, Homburg/Saar, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acetabular fractures are still challenging fractures. Fracture classification is the basis for understanding these injuries and to gain treatment and to choose a fracture type-based treatment concept. Using a systematic step-wise concept of fracture analysis, based on specific radiographic lines on standard X-rays allow even less experienced surgeons to get a correct classification of the elementary and associated fracture types of Letournel's classification. Algorithmic analysis of the iliopectineal line, (anterior column involvement), ilioischial line (posterior column involvement), presence of a posterior wall fragment, fracture lines involving the iliac wing and inferior ramus, and the spur sign (representing associated both column fractures) allow for approximately 80-90% correct classifications using standard X-rays when integrating these lines into an algorithm. Especially, T-shaped fractures, ABC and ACPHT fractures may be difficult to classify. Thus, advanced imaging, such as CT scans with multiplanar reconstruction and 3D reconstructions is additionally recommended.

Indexed as

AcetabulumAlgorithmsFractures, BoneHumansTomography, X-Ray ComputedAcetabular fractureClassificationRadiographic linesReliabilityStep-wise algorithm

Identifiers

PMID39441365
PMCPMC11576829

What OpenQuestion holds

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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.