Evidence map›Paper›PMID 41391135›Full record

ArticleJoint diseases and related surgery2026

Reduced lateral hinge stress and fracture risk in double-hinge medial open-wedge high tibial osteotomy: A finite element study.

Haluk Yaka, Mustafa Özkaya, Alper Kırılmaz, Turgut Emre Erdem, Mustafa Özer, Faik Türkmen

Abstract read
In one paragraph

Article in Joint diseases and related surgery, 2026. 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

6 authors.

Haluk YakaNecmettin Erbakan Üniversitesi Tıp Fakültesi, Ortopedi ve Travmatoloji Anabilim Dalı, 42080 Selçuklu, Konya, Türkiye. halukyakakonya@gmail.com.
Mustafa Özkaya
Alper Kırılmaz
Turgut Emre Erdem
Mustafa Özer
Faik Türkmen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aims to describe the double-hinge medial open wedge high tibial osteotomy (DH-MOWHTO) with two lateral hinges and to investigate its feasibility and its utility in prevention of lateral hinge fractures (LHFs) using a finite element analysis (FEA) model. MATERIALS AND

methodsThree osteotomies were modeled. Model 1 (DH-MOWHTO) involved two monoplanar osteotomies from the same starting point, while Models 2 and 3 were standard monoplanar osteotomies using one osteotomy line from Model 1. They were compared in terms of maximum von-Mises stress value (MPa) in the hinges at 10° correction angle, gap distance at 10° correction angle (mm), force required to achieve a 10° correction angle (N), and total surface area (mm

resultsIn DH-MOWHTO, the maximum anterior hinge stress at 10º correction angle was reduced by 28.1 to 39.6% and the maximum posterior hinge stress was reduced by 19.2 to 60.1% compared to single monoplanar osteotomies. The average stress reduction in the hinges was 36%. The force required for a 10° correction was approximately 78 N, 114 N and 85 N for Models 1, 2 and 3, respectively. The model with two monoplanar osteotomies had approximately 1.8 and 2 times more osteotomy surface area than Models 2 and 3, respectively.

conclusionIn this FEA study, two lateral hinges can be created in MOWHTO and lower hinge stresses can be obtained by applying lower forces with this osteotomy. In the light of these findings, DH-MOWHTO may be a novel osteotomy technique to avoid LHF.

Indexed as

Knee JointOsteotomyTibiaTibial FracturesBiomechanical PhenomenaFeasibility StudiesFinite Element AnalysisHumansStress, Mechanical

Identifiers

PMID41391135
PMCPMC12788768

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.