Evidence map›Paper›PMID 34114367›Full record

ReviewInternational journal for numerical methods in biomedical engineering2021

Computational modelling of the scoliotic spine: A literature review.

Samuele L Gould, Luca Cristofolini, Giorgio Davico, Marco Viceconti

Abstract readReview
In one paragraph

Review in International journal for numerical methods in biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Development and Assessment of a Novel Generic Finite Element Spine Model for Clinical Applications.International journal for numerical methods in biomedical engineering · 2025
    Article
  2. Article
  3. New Surgical Devices for Closed Reduction of Frontal Sinus Bone Fracture.International journal for numerical methods in biomedical engineering · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Finite element analysis in brace treatment on adolescent idiopathic scoliosis.Medical & biological engineering & computing · 2022
    Review
  10. Article
  11. Computational modelling of the scoliotic spine: A literature review.International journal for numerical methods in biomedical engineering · 2021
    Review
  12. Review
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

4 authors.

Samuele L GouldDepartment of Industrial Engineering, Alma Mater Studiorum-University of Bologna (IT), Bologna, Italy.ORCID 0000-0002-7140-0007
Luca CristofoliniDepartment of Industrial Engineering, Alma Mater Studiorum-University of Bologna (IT), Bologna, Italy.ORCID 0000-0002-7473-6868
Giorgio DavicoDepartment of Industrial Engineering, Alma Mater Studiorum-University of Bologna (IT), Bologna, Italy.ORCID 0000-0002-2046-529X
Marco VicecontiDepartment of Industrial Engineering, Alma Mater Studiorum-University of Bologna (IT), Bologna, Italy.ORCID 0000-0002-2293-1530

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scoliosis is a deformity of the spine that in severe cases requires surgical treatment. There is still disagreement among clinicians as to what the aim of such treatment is as well as the optimal surgical technique. Numerical models can aid clinical decision-making by estimating the outcome of a given surgical intervention. This paper provided some background information on the modelling of the healthy spine and a review of the literature on scoliotic spine models, their validation, and their application. An overview of the methods and techniques used to construct scoliotic finite element and multibody models was given as well as the boundary conditions used in the simulations. The current limitations of the models were discussed as well as how such limitations are addressed in non-scoliotic spine models. Finally, future directions for the numerical modelling of scoliosis were addressed.

Indexed as

ScoliosisSpineHumansfinite element modellingmultibody modellingmusculoskeletal modellingreviewscoliosisscoliotic spine

Identifiers

PMID34114367
PMCPMC8518780

What OpenQuestion holds

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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.