Evidence map›Paper›PMID 37860626›Full record

ArticleFrontiers in bioengineering and biotechnology2023

Injury risk functions for the four primary knee ligaments.

Jiota Nusia, Jia-Cheng Xu, Johan Knälmann, Reimert Sjöblom, Svein Kleiven

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 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
0.3field-weighted citation impact, top 37% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

5 authors at 3 institutions in 1 country.

Jiota NusiaDepartment of Traffic Safety and Traffic Systems, The Swedish National Road and Transport Research Institute (VTI), Stockholm, Sweden.
Jia-Cheng XuDepartment of Traffic Safety and Traffic Systems, The Swedish National Road and Transport Research Institute (VTI), Stockholm, Sweden.
Johan KnälmannDepartment of Strength and Crash Analysis, Scania CV AB, Södertälje, Sweden.
Reimert SjöblomDepartment of Strength and Crash Analysis, Scania CV AB, Södertälje, Sweden.
Svein KleivenDivision of Neuronic Engineering, KTH Royal Institute of Technology, Stockholm, Sweden.
KTH Royal Institute of Technology · SEScania (Sweden) · SESwedish National Road and Transport Research Institute · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to develop injury risk functions (IRFs) for the anterior and posterior cruciate ligaments (ACL and PCL, respectively) and the medial and lateral collateral ligaments (MCL and LCL, respectively) in the knee joint. The IRFs were based on post-mortem human subjects (PMHSs). Available specimen-specific failure strains were supplemented with statistically generated failure strains (virtual values) to accommodate for unprovided detailed experimental data in the literature. The virtual values were derived from the reported mean and standard deviation in the experimental studies. All virtual and specimen-specific values were thereafter categorized into groups of static and dynamic rates, respectively, and tested for the best fitting theoretical distribution to derive a ligament-specific IRF. A total of 10 IRFs were derived (three for ACL, two for PCL, two for MCL, and three for LCL). ACL, MCL, and LCL received IRFs in both dynamic and static tensile rates, while a sufficient dataset was achieved only for dynamic rates of the PCL. The log-logistic and Weibull distributions had the best fit (

Indexed as

collateral ligamentcruciate ligamentcumulative distribution functionfailure strainhuman body modelinjury risk functionknee ligaments

Identifiers

PMID37860626
PMCPMC10582698
OpenAlexW4387335663

What OpenQuestion holds

Textmetadata
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.