Evidence map›Paper›PMID 39781401›Full record

ReviewJournal of clinical orthopaedics and trauma2024

Finite element analysis and its application in Orthopaedics: A narrative review.

Aman Verma, Aakash Jain, Siddharth Sekhar Sethy, Vishal Verma, Nikhil Goyal, Madhubari Vathulya, Pankaj Kandwal

Erratum issuedAbstract readReview
In one paragraph

Review in Journal of clinical orthopaedics and trauma, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Aman VermaDepartment of Orthopaedics, All India Institute of Medical Sciences, Rishikesh, India, 249203.
Aakash JainDepartment of Orthopaedics, All India Institute of Medical Sciences, Rishikesh, India, 249203.
Siddharth Sekhar SethyDepartment of Orthopaedics, All India Institute of Medical Sciences, Rishikesh, India, 249203.
Vishal VermaDepartment of Orthopaedics, All India Institute of Medical Sciences, Rishikesh, India, 249203.
Nikhil GoyalDepartment of Orthopaedics, All India Institute of Medical Sciences, Rishikesh, India, 249203.
Madhubari VathulyaDepartment of Burns and Plastic surgery. All India Institute of Medical Sciences, Rishikesh, India, 249203.
Pankaj KandwalDepartment of Orthopaedics, All India Institute of Medical Sciences, Rishikesh, India, 249203.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Orthopedic surgery and traumatology necessitate cost-effective approaches that can be replicated across multiple venues. Finite Element (FE) simulation models have evolved as a solution, allowing for consistent investigations into biomechanical systems. Finite Element Analysis (FEA), which began in the 1950s aviation industry, has since expanded into orthopedics. Its progress, fueled by improved computing, has a significant impact on orthopedic surgery, helping to understand biomechanics and post-implantation responses. The use of FEA has increased in recent decades, demonstrating its critical importance in modern orthopedic research. Methodologies for FEA include both generic and patient-specific approaches, each customized to individual needs. FEA goes through three stages: preprocessing, solution, and postprocessing, all of which require exact material property assignment and boundary conditions. Pathophysiology, orthopedic biomechanics, implant design, fracture fixation, bracing, and preoperative planning are all applications of FEA, which has revolutionized surgical methods. However, FEA has drawbacks such as oversimplification, processing needs, and validation issues. Future FEA advances aim to improve model accuracy, add active muscle simulation, and standardize procedures, resulting in significant advancements in orthopedic research and treatment planning.

Indexed as

BiomechanicsFinite element analysisFinite element methodImplant designingPre-operative planning

Identifiers

PMID39781401
PMCPMC11703707

What OpenQuestion holds

Textmetadata
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.