Evidence map›Paper›PMID 39839857›Full record

ArticleJournal of experimental orthopaedics2025

Coronal alignment does not enable to predict the degree of femoral and tibial torsion.

Leonard Grünwald, Sophie Schmidt, Marc-Daniel Ahrend, Tina Histing, Stefan Döbele

Abstract read
In one paragraph

Article in Journal of experimental orthopaedics, 2025. 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. Article
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

5 authors.

Leonard GrünwaldDepartment of Trauma Surgery, BG Trauma Center Tuebingen University of Tuebingen Tuebingen Germany.ORCID https://orcid.org/0000-0003-3516-8906
Sophie SchmidtDepartment of Trauma Surgery, BG Trauma Center Tuebingen University of Tuebingen Tuebingen Germany.
Marc-Daniel AhrendDepartment of Trauma Surgery, BG Trauma Center Tuebingen University of Tuebingen Tuebingen Germany.ORCID https://orcid.org/0000-0001-7044-4182
Tina HistingDepartment of Trauma Surgery, BG Trauma Center Tuebingen University of Tuebingen Tuebingen Germany.
Stefan DöbeleDepartment of Trauma Surgery, BG Trauma Center Tuebingen University of Tuebingen Tuebingen Germany.ORCID https://orcid.org/0000-0002-8827-043X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Malalignment of the lower extremity can affect one, two or all three anatomic planes. We hypothesized an influence between the malalignment of the coronal and axial planes. Methods: A total of 356 lower extremities of 226 patients were included. Femoral and tibial torsion were assessed in computer tomographic scans while frontal plane alignment was measured in long-leg standing radiographs. The mechanical angles were for knee phenotyping according to the coronal plane alignment of the knee classification. The correlation between the coronal alignment and torsional profile was analyzed. The population was divided into three groups according to leg alignment (valgus, neutral, varus) and gender. Results: As the coronal alignment changed from valgus to varus the tibial external torsion increased ( Conclusion: Tibial torsion correlated with increasing varus alignment while both femoral and tibial torsion correlated with higher mLDFA, but the correlations were weak. Therefore, the coronal alignment does not enable to predict the degree of femoral and tibial torsion. This study demonstrates that an individual approach to each patient with lower limb malalignment is unavoidable. Level of Evidence: Level III.

Indexed as

coronal alignmentfemoral torsionmLDFAmMPTAtibial torsion

Identifiers

PMID39839857
PMCPMC11747137

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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.