ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2022
The smartphone as a tool to screen for scoliosis, applicable by everyone.
Article in 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, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
Who cites it
6 citing papers in PubMed.
- The ScolioscoopEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- The Scolioscope: a home detection tool for measuring axial trunk rotation in scoliosis-a validation study.Spine deformity · 2026Article
- Digital twin for the analog scoliometer: advancements in telehealth for paediatric spine deformity care.Scientific reports · 2025Article
- Cobb angle estimation without X-ray using angle of trunk rotation and characteristics of unpredictable cases.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 · 2025Article
- Wearable Devices in Scoliosis Treatment: A Scoping Review of Innovations and Challenges.Bioengineering (Basel, Switzerland) · 2025Review
- Deep Learning Model to Classify and Monitor Idiopathic Scoliosis in Adolescents Using a Single Smartphone Photograph.JAMA network open · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PURPOSE (MAIN PURPOSES AND RESEARCH QUESTION): The purpose of this study is to assess the accuracy and precision of the smartphone with application and casing (Scolioscreen) compared to the Scoliometer.
methodsThe Axial Trunk Rotation (ATR) was measured in adolescent scoliosis patients visiting the outpatient clinic while performing the Adam Forward Bending Test. The Scolioscreen measurements were performed by the orthopedic surgeon and a parent. They were compared to the measurement with the Scoliometer by the orthopedic surgeon, the gold standard. The accuracy was determined with the Pearson's correlation coefficient, and precision was determined by assessing the intra- and inter-variability with the intra-class correlation coefficient (ICC).
resultsFifty patients with adolescent idiopathic scoliosis (44 girls) were included with a mean age of 14.1 years and a mean Cobb angle of 38.5°. The accuracy of both the parents and orthopedic surgeon was excellent with a Pearson correlation coefficient of 0.92 and 0.97, respectively. All the ICC's, both intra- and inter-observer, were over 0.92 demonstrating excellent precision.
conclusionThis study confirms the accuracy and precision of the Scolioscreen when measuring the ATR on patients with AIS. Therefore, the Scoliometer can be replaced by the more easily available Scolioscreen which can be used by both physician and parents.
Indexed as
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Registered trials
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.