Evidence map›Paper›PMID 35932044›Full record

ArticleBMC musculoskeletal disorders2022

Parents can reliably and accurately detect trunk asymmetry using an inclinometer smartphone app.

Marie Beauséjour, Delphine Aubin, Carole Fortin, Mohamed N'dongo Sangaré, Mathilde Carignan, Marjolaine Roy-Beaudry, Carolina Martinez, Nathalie Bourassa, Nathalie Jourdain, Philippe Labelle and 1 more

Abstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Repeatability and intra and interrater reproducibility of the DIPA-S eHealth© capture and analysis system for clinical assessment of 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 · 2024
    Article
  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

11 authors.

Marie BeauséjourResearch Center, Sainte-Justine University Hospital Center, Montreal, Québec, Canada. marie.beausejour@usherbrooke.ca.
Delphine AubinResearch Center, Sainte-Justine University Hospital Center, Montreal, Québec, Canada.
Carole FortinResearch Center, Sainte-Justine University Hospital Center, Montreal, Québec, Canada.
Mohamed N'dongo SangaréUniversité du Québec en Abitibi-Témiscamingue, Québec, Canada.
Mathilde CarignanResearch Center, Sainte-Justine University Hospital Center, Montreal, Québec, Canada.
Marjolaine Roy-BeaudryResearch Center, Sainte-Justine University Hospital Center, Montreal, Québec, Canada.
Carolina MartinezCentre de recherche Charles-Le Moyne, Longueuil, Québec, Canada.
Nathalie BourassaResearch Center, Sainte-Justine University Hospital Center, Montreal, Québec, Canada.
Nathalie JourdainResearch Center, Sainte-Justine University Hospital Center, Montreal, Québec, Canada.
Philippe LabelleResearch Center, Sainte-Justine University Hospital Center, Montreal, Québec, Canada.
Hubert LabelleResearch Center, Sainte-Justine University Hospital Center, Montreal, Québec, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAn inclinometer smartphone application has been developed to enable the measurement of the angle of trunk inclination (ATI) to detect trunk surface asymmetry. The objective was to determine the reliability and validity of the smartphone app in the hands of non-professionals.

methodsThree non-professional observers and one expert surgeon measured maximum ATI twice in a study involving 69 patients seen in the spine clinics to rule out scoliosis or for regular follow-up (10-18 y.o., Cobb [0°-58°]). Observers were parents not familiar with scoliosis screening nor use of an inclinometer. They received training from a 4-minute video. Intra and inter-observer reliability was determined using the generalizability theory and validity was assessed from intraclass correlation coefficients (ICC), agreement with the expert on ATI measurements using Bland-Altman analysis, and correct identification of the threshold for consultation (set to ≥6° ATI).

resultsIntra-observer and inter-observer reliability coefficients were excellent ϕ = 0.92. The standard error of measurement was 1.5° (intra-observer, 2 measurements) meaning that a parent may detect a change of 4° between examinations 95% of the time. Comparison of measurements between non-professionals and the expert resulted in ICC varying from 0.82 [0.71-0.88] to 0.84 [0.74-0.90] and agreement on the decision to consult occurred in 83 to 90% of cases.

conclusionThe use of a smartphone app resulted in excellent reliability, sufficiently low standard error of measurement (SEM) and good validity in the hands of non-professionals. The device and the instructional video are adequate means to allow detection and regular examination of trunk asymmetries by non-professionals.

Indexed as

Mobile ApplicationsScoliosisHumansObserver VariationParentsReproducibility of ResultsSmartphoneAdolescent idiopathic scoliosis (AIS)ReliabilitySmartphone applicationTrunk surface asymmetryValidity

Identifiers

PMID35932044
PMCPMC9354306

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.