Evidence map›Paper›PMID 38646427›Full record

ArticleBrain & spine2024

Global Sagittal Angle and T9-tilt seem to be the most clinically and functionally relevant global alignment parameters in patients with Adult Spinal Deformity.

Nabil Nassim, Elio Mekhael, Rami El Rachkidi, Maria Saadé, Elma Ayoub, Ali Rteil, Elena Jaber, Celine Chaaya, Rami Rehayem, Julien Abi Nahed and 4 more

Open access · goldAbstract read
In one paragraph

Article in Brain & spine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
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

14 authors at 2 institutions in 3 countries.

Nabil NassimLaboratory of Biomechanics and Medical Imaging, Faculty of Medicine, Saint-Joseph University of Beirut, Beirut, Lebanon.
Elio MekhaelLaboratory of Biomechanics and Medical Imaging, Faculty of Medicine, Saint-Joseph University of Beirut, Beirut, Lebanon.
Rami El RachkidiLaboratory of Biomechanics and Medical Imaging, Faculty of Medicine, Saint-Joseph University of Beirut, Beirut, Lebanon.
Maria SaadéLaboratory of Biomechanics and Medical Imaging, Faculty of Medicine, Saint-Joseph University of Beirut, Beirut, Lebanon.
Elma AyoubLaboratory of Biomechanics and Medical Imaging, Faculty of Medicine, Saint-Joseph University of Beirut, Beirut, Lebanon.
Ali RteilLaboratory of Biomechanics and Medical Imaging, Faculty of Medicine, Saint-Joseph University of Beirut, Beirut, Lebanon.
Elena JaberLaboratory of Biomechanics and Medical Imaging, Faculty of Medicine, Saint-Joseph University of Beirut, Beirut, Lebanon.
Celine ChaayaLaboratory of Biomechanics and Medical Imaging, Faculty of Medicine, Saint-Joseph University of Beirut, Beirut, Lebanon.
Rami RehayemLaboratory of Biomechanics and Medical Imaging, Faculty of Medicine, Saint-Joseph University of Beirut, Beirut, Lebanon.
Julien Abi NahedTechnology Innovation Unit, Hamad Medical Corporation, Doha, Qatar.
Mohamad KaramLaboratory of Biomechanics and Medical Imaging, Faculty of Medicine, Saint-Joseph University of Beirut, Beirut, Lebanon.
Ismat GhanemLaboratory of Biomechanics and Medical Imaging, Faculty of Medicine, Saint-Joseph University of Beirut, Beirut, Lebanon.
Abir MassaadLaboratory of Biomechanics and Medical Imaging, Faculty of Medicine, Saint-Joseph University of Beirut, Beirut, Lebanon.
Ayman AssiLaboratory of Biomechanics and Medical Imaging, Faculty of Medicine, Saint-Joseph University of Beirut, Beirut, Lebanon.
Saint Joseph University · LBHamad Medical Corporation · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Radiographic analysis is necessary for the assessment and the surgical planning in adults with spinal deformity (ASD). Restoration of global alignment is key to improving patient's quality of life. However, the large number of existing global alignment parameters can be confusing for surgeons. Research question: To determine the most clinically and functionally relevant global alignment parameters in ASD. Material and methods: ASD and controls underwent full body biplanar X-ray to calculate global alignment parameters: odontoid to hip axis angle (OD-HA), global sagittal angle (GSA), global tilt (GT), SVA, center of auditory meatus to hip axis (CAM-HA), SSA, T1-tilt and T9-tilt. All subjects filled HRQoL questionnaires: ODI, SF-36, VAS for pain and BDI (Beck's Depression Inventory). 3D gait analysis was performed to calculate kinematic and spatio-temporal parameters. A machine learning model predicted gait parameters and HRQoL scores from global alignment parameters. Results: 124 primary ASD and 47 controls were enrolled. T9 tilt predicted the most BDI (31%), hip flexion/extension during gait (36%), and double support time (39%). GSA predicted the most ODI (26%), thorax flexion/extension during gait (33%), and cadence (36%). Discussion and conclusion: Among all global alignment parameters, GSA, evaluating both trunk shift and knee flexion, and T9 tilt, evaluating the shift of the center of mass, were the best predictors for most of HRQoL scores and gait kinematics. Therefore, we recommend using GSA and T9 tilt in clinical practice when evaluating ASD because they represent the most quality of life and functional kinematic of these patients.

Indexed as

3D gait analysisAdult spinal deformityGlobal alignmentHealth-related quality of lifeMachine learningRadiographic analysis

Identifiers

PMID38646427
PMCPMC11033086
OpenAlexW4394689231

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.