Confiabilidade interavaliadores e intra-avaliador do escoliômetro

Bonagamba, Guilherme H.; Coelho, Daniel M.; Oliveira, Anamaria Siriani de

doi:10.1590/s1413-35552010005000025

Cited by 47 publications

(14 citation statements)

References 21 publications

(46 reference statements)

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“…In a recent study, Bonagamba et al measured ATR at each level of spine, from T1 to L5, and indicated that both intra- and inter- rater reliability were lowest at upper thoracic region (T1 to T4) and highest at lower thoracic region (T9 to T12). The author ascribed the low reliability to the effect of cervical rotation on the measurement that any movement of cervical spine would change the shape of thoracic region of spine, thus introducing bias in evaluation [8]. In the present study, the intra- and inter-rater reliability was similar between Scoliometer measurement and Scoliogauge measurement.…”

Section: Discussionsupporting

confidence: 54%

“…School screening was advocated with the aim of early diagnosis, so that conservative treatments could be adopted timely and subsequently minimizes the possibility of surgical treatment [4, 5]. Scoliometer, a portable inclinometer-based device, which has been widely used in school screening, has showed satisfactory specificity and sensitivity [6–8]. Moreover, Scoliometer is a good noninvasive modality monitoring the progression of AIS without the concern of radiation exposure to patients [9, 10].…”

Section: Introductionmentioning

confidence: 99%

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Inter- and intraobserver reliability assessment of the axial trunk rotation: manual versus smartphone-aided measurement tools

Qiao

Zhu

et al. 2014

BMC Musculoskelet Disord

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BackgroundScoliogauge, has been developed for the measurement of ATR on iPhone smartphones. This study was to evaluate the reliability for the smartphone-aided ATR measurement method and to compare its reliability with that of the manual method.MethodsSixty-four AIS patients with single thoracic or lumbar curve participated in this study. Of these patients, thirty-two patients had main thoracic scoliosis while other thirty-two had main thoracolumbar/lumbar scoliosis. Two spine surgeons performed the measurements with Scoliometer and Scoliogauge. The Scoliogauge measurements were conducted on an iPhone 4 smartphone. The intraclass correlation coefficient (ICC) 2-way mixed model on absolute agreement was used to analyze the reliability categorized according to regions: thoracic or lumbar, and Cobb angles: <20 degrees and >40 degrees. ICC < 0.40 is considered as poor, 0.40–0.59 as fair, 0.60–0.74 as good, and 0.75–1.00 as excellent.ResultsThe overall intraobserver variability was 0.954 and the overall interobserver variability was 0.943 for the scoliometer set, whereas the intraobserver variability was 0.965 and interobserver variability was 0.964 for the scoliogauge set. Both the intraobserver and interobserver ICCs reached the excellent value in the 2 sets for both observers. The mean Cobb angle of thoracic curves in patients with main thoracic scoliosis was similar to that of lumbar curves in those with main thoracolumbar/lumbar scoliosis (35.7 degrees vs. 36.1 degrees). The intraobserver and interobserver reliability was similar between two groups (thoracic vs. lumbar) in the 2 sets. There were 21 patients having Cobb angles < 20 degrees, while 20 patients >40 degrees. The intraobserver and interobserver reliability was better in severe curve(>40 degrees) group.ConclusionSmartphone-aided measurement for ATR showed excellent reliability, and the reliability of measurement with either scoliometer or scoliogauge could be influenced by Cobb angle that reliability was better for curves with larger Cobb angles.Electronic supplementary materialThe online version of this article (doi:10.1186/1471-2474-15-343) contains supplementary material, which is available to authorized users.

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Section: Discussionsupporting

confidence: 54%

Section: Introductionmentioning

confidence: 99%

Inter- and intraobserver reliability assessment of the axial trunk rotation: manual versus smartphone-aided measurement tools

Qiao

Zhu

et al. 2014

BMC Musculoskelet Disord

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“…Clinically, diagnosis is accomplished through the use of a scoliometer instrument validated for this purpose. 40 Moreover, our sample size was small when considering the number of assessed variables and the statistical analysis used, despite the fact that the size calculation of the sample had projected a minimum number of 192 schoolchildren and the final sample comprised 212 schoolchildren. The Poisson regression analysis was separated into biological and behavioral factors, which is a limitation of this study because it does not allow assuring the association of the analysis.…”

Section: Discussionmentioning

confidence: 99%

Factors Associated With Scoliosis in Schoolchildren: a Cross-Sectional Population-Based Study

Baroni¹,

Sanchis

Assis

et al. 2015

Journal of Epidemiology

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BackgroundThe present study aimed to investigate the prevalence of scoliosis and to analyze the factors associated with scoliosis in schoolchildren aged between 7 and 17 years.MethodsThis is a cross-sectional and quantitative study with stratified random selection of public school students in the city of Santa Cruz, Brazil. The presence of scoliosis was examined, as well as the flexibility of the posterior muscle chain, socioeconomic characteristics, anthropometry, lifestyle habits, sexual maturation, and ergonomics of school furniture. In order to identify factors associated with scoliosis, the variables were divided in biological, socioeconomic, lifestyle, and ergonomic factors, and crude and adjusted prevalence ratios (PRs) were estimated by means of Poisson regression analysis.ResultsTwo hundred and twelve pupils participated in this study (mean age 11.61 years, 58% female). The prevalence of scoliosis was 58.1% (n = 123) and associated with female sex (PR 2.54; 95% CI, 1.33–4.86) and age between 13 and 15 years (PR 5.35; 95% CI, 2.17–13.21). Sleeping in a hammock was inversely associated with scoliosis (PR 0.44; 95% CI, 0.23–0.81).ConclusionsScoliosis seems to be positively associated with female sex and age between 13 and 15 years, whereas the habit of sleeping in a hammock is negatively associated with the onset of scoliosis.

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“…Previous studies [3-7] have found the Scoliometer to have adequate or high inter-rater and intra-rater reliability coefficients indicating good measurement reproducibility. The most recent of these by Bonagamba et al [7], found the highest intra-rater and inter-rater reliability of the Scoliometer to date, as a result of minimising the major sources of measurement variability in earlier studies.…”

Section: Introductionmentioning

confidence: 98%

“…The most recent of these by Bonagamba et al [7], found the highest intra-rater and inter-rater reliability of the Scoliometer to date, as a result of minimising the major sources of measurement variability in earlier studies. It was suggested the process of patient positioning, vertebral level palpation, patient discomfort and fatigue with being positioned and measured multiple times, and repeat measurements occurring weeks apart, all contributed to Scoliometer measurement variability in prior studies.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the iPhone with an acrylic sleeve versus the Scoliometer for rib hump measurement in scoliosis

Izatt

Bateman²,

Adam

2012

Scoliosis

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BackgroundVertebral rotation found in structural scoliosis contributes to trunkal asymmetry which is commonly measured with a simple Scoliometer device on a patient's thorax in the forward flexed position. The new generation of mobile 'smartphones' have an integrated accelerometer, making accurate angle measurement possible, which provides a potentially useful clinical tool for assessing rib hump deformity. This study aimed to compare rib hump angle measurements performed using a Smartphone and traditional Scoliometer on a set of plaster torsos representing the range of torsional deformities seen in clinical practice.MethodsNine observers measured the rib hump found on eight plaster torsos moulded from scoliosis patients with both a Scoliometer and an Apple iPhone on separate occasions. Each observer repeated the measurements at least a week after the original measurements, and were blinded to previous results. Intra-observer reliability and inter-observer reliability were analysed using the method of Bland and Altman and 95% confidence intervals were calculated. The Intra-Class Correlation Coefficients (ICC) were calculated for repeated measurements of each of the eight plaster torso moulds by the nine observers.ResultsMean absolute difference between pairs of iPhone/Scoliometer measurements was 2.1 degrees, with a small (1 degrees) bias toward higher rib hump angles with the iPhone. 95% confidence intervals for intra-observer variability were +/- 1.8 degrees (Scoliometer) and +/- 3.2 degrees (iPhone). 95% confidence intervals for inter-observer variability were +/- 4.9 degrees (iPhone) and +/- 3.8 degrees (Scoliometer). The measurement errors and confidence intervals found were similar to or better than the range of previously published thoracic rib hump measurement studies.ConclusionsThe iPhone is a clinically equivalent rib hump measurement tool to the Scoliometer in spinal deformity patients. The novel use of plaster torsos as rib hump models avoids the variables of patient fatigue and discomfort, inconsistent positioning and deformity progression using human subjects in a single or multiple measurement sessions.

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Confiabilidade interavaliadores e intra-avaliador do escoliômetro

Abstract: Background:The scoliometer was developed to analyze the axial rotation of the trunk in patients with idiopathic scoliosis. However, there is

Cited by 47 publications

References 21 publications

Inter- and intraobserver reliability assessment of the axial trunk rotation: manual versus smartphone-aided measurement tools

Inter- and intraobserver reliability assessment of the axial trunk rotation: manual versus smartphone-aided measurement tools

Factors Associated With Scoliosis in Schoolchildren: a Cross-Sectional Population-Based Study

Evaluation of the iPhone with an acrylic sleeve versus the Scoliometer for rib hump measurement in scoliosis

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