Evidence map›Paper›PMID 26475324›Full record

SynthesisJournal of neuroengineering and rehabilitation2015

State of the art of current 3-D scoliosis classifications: a systematic review from a clinical perspective.

Sabrina Donzelli, Salvatore Poma, Luca Balzarini, Alberto Borboni, Stefano Respizzi, Jorge Hugo Villafane, Fabio Zaina, Stefano Negrini

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of neuroengineering and rehabilitation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. A cluster analysis describing spine and torso shape in Lenke type 1 adolescent idiopathic scoliosis.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2021
    Article
  14. Article
  15. Quantifying Tongue Tip Shape in Apical and Laminal /s/: Contributions of Palate Shape.Journal of speech, language, and hearing research : JSLHR · 2019
    Article
  16. Article
  17. Article
  18. Patterns of coronal curve changes in forward bending posture: a 3D ultrasound study of adolescent idiopathic scoliosis patients.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2018
    Article
  19. 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

8 authors.

Sabrina DonzelliISICO (Italian Scientific Spine Institute), Via Roberto Bellarmino 13/1, 20141, Milan, Italy. sabrina.donzelli@isico.it.
Salvatore PomaPhysical and Rehabilitation Medicine Specialty, University of Milan, Milan, Italy. salvatore.poma1@gmail.com.
Luca BalzariniIRCCS Humanitas, Milan, Italy. luca.balzarini@humanitas.it.
Alberto BorboniMechanical and Industrial Engineering Department, University of Brescia, Brescia, Italy. alberto.borboni@unibs.it.
Stefano RespizziIRCCS Humanitas, Milan, Italy. stefano.respizzi@humanitas.it.
Jorge Hugo VillafaneIRCCS Fondazione Don Gnocchi, Milan, Italy. jorgeriotercero@gmail.com.
Fabio ZainaISICO (Italian Scientific Spine Institute), Via Roberto Bellarmino 13/1, 20141, Milan, Italy. fabio.zaina@isico.it.
Stefano NegriniClinical and Experimental Sciences Department, University of Brescia, Brescia, Italy. stefano.negrini@unibs.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scoliosis is a complex three dimensional (3D) deformity: the current lack of a 3D classification could hide something fundamental for scoliosis prognosis and treatment. A clear picture of the actually existing 3D classifications lacks. The aim of this systematic review was to identify all the 3D classification systems proposed until now in the literature with the aim to identify similarities and differences mainly in a clinical perspective.After a MEDLINE Data Base review, done in November 2013 using the search terms "Scoliosis/classification" [Mesh] and "scoliosis/classification and Imaging, three dimensional" [Mesh], 8 papers were included with a total of 1164 scoliosis patients, 23 hyperkyphosis and 25 controls, aged between 8 and 20 years, with curves from 10° to 81° Cobb, and various curve patterns. Six studies looked at the whole 3D spine and found classificatory parameters according to planes, angles and rotations, including: Plane of Maximal Curvature (PMC), Best Fit Plane, Cobb angles in bodily plane and PMC, Axial rotation of the apical vertebra and of the PMC, and geometric 3D torsion. Two studies used the regional (spinal) Top View of the spine and found classificatory parameters according to its geometrical properties (area, direction and barycenter) including: Ratio of the frontal and the sagittal size, Phase, Directions (total, thoracic and lumbar), and Shift. It was possible to find similarities among 10 out of the 16 the sub-groups identified by different authors with different methods in different populations.In summation, the state of the art of 3D classification systems include 8 studies which showed some comparability, even though of low level. The most useful one in clinical everyday practice, is far from being defined. More than 20 years passed since the definition of the third dimension of the scoliosis deformity, now the time has come for clinicians and bioengineers to start some real clinical application, and develop means to make this approach an everyday tool.

Indexed as

HumansImaging, Three-DimensionalScoliosis

Identifiers

PMID26475324
PMCPMC4609046

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.