Evidence map›Paper›PMID 35577879›Full record

ArticleScientific reports2022

Evaluation of anterior cruciate ligament surgical reconstruction through finite element analysis.

Konstantinos Risvas, Dimitar Stanev, Lefteris Benos, Konstantinos Filip, Dimitrios Tsaopoulos, Konstantinos Moustakas

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Konstantinos RisvasDepartment of Electrical and Computer Engineering, University of Patras, 25500, Patras, Greece. krisvas@ece.upatras.gr.
Dimitar StanevDepartment of Electrical and Computer Engineering, University of Patras, 25500, Patras, Greece.
Lefteris BenosInstitute for Bio-Economy and Agri-Technology (IBO), Centre of Research and Technology-Hellas (CERTH), 6th km Charilaou-Thermi Rd, 57001, Thessaloniki, GR, Greece.
Konstantinos FilipDepartment of Electrical and Computer Engineering, University of Patras, 25500, Patras, Greece.
Dimitrios TsaopoulosInstitute for Bio-Economy and Agri-Technology (IBO), Centre of Research and Technology-Hellas (CERTH), 6th km Charilaou-Thermi Rd, 57001, Thessaloniki, GR, Greece.
Konstantinos MoustakasDepartment of Electrical and Computer Engineering, University of Patras, 25500, Patras, Greece.
University of Patras · GRCentre for Research and Technology Hellas · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anterior cruciate ligament (ACL) tear is one of the most common knee injuries. The ACL reconstruction surgery aims to restore healthy knee function by replacing the injured ligament with a graft. Proper selection of the optimal surgery parameters is a complex task. To this end, we developed an automated modeling framework that accepts subject-specific geometries and produces finite element knee models incorporating different surgical techniques. Initially, we developed a reference model of the intact knee, validated with data provided by the Open Knee(s) project. This helped us evaluate the effectiveness of estimating ligament stiffness directly from MRI. Next, we performed a plethora of "what-if" simulations, comparing responses with the reference model. We found that (a) increasing graft pretension and radius reduces relative knee displacement, (b) the correlation of graft radius and tension should not be neglected, (c) graft fixation angle of 20[Formula: see text] can reduce knee laxity, and (d) single-versus double-bundle techniques demonstrate comparable performance in restraining knee translation. In most cases, these findings confirm reported values from comparative clinical studies. The numerical models are made publicly available, allowing for experimental reuse and lowering the barriers for meta-studies. The modeling approach proposed here can complement orthopedic surgeons in their decision-making.

Indexed as

Anterior Cruciate Ligament InjuriesAnterior Cruciate Ligament ReconstructionAnterior Cruciate LigamentBiomechanical PhenomenaFinite Element AnalysisHumansKnee Joint

Identifiers

PMID35577879
PMCPMC9110399
OpenAlexW4280507037

What OpenQuestion holds

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LicenceCC BY
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.