Literature DB >> 23804158

Reliability analysis of shoulder balance measures: comparison of the 4 available methods.

Jae-Young Hong1, Seung-Woo Suh, Jae-Hyuk Yang, Si-Young Park, Ji-Hoon Han.   

Abstract

STUDY
DESIGN: Observational study with 3 examiners.
OBJECTIVE: To compare the reliability of shoulder balance measurement methods. SUMMARY OF BACKGROUND DATA: There are several measurement methods for shoulder balance. No reliability analysis has been performed despite the clinical importance of this measurement.
METHODS: Whole spine posteroanterior radiographs (n = 270) were collected to compare the reliability of the 4 shoulder balance measures in patients with adolescent idiopathic scoliosis. Each radiograph was measured twice by each of the 3 examiners using 4 measurement methods. The data were analyzed statistically to determine the inter- and intraobserver reliability.
RESULTS: Overall, the 4 radiographical methods showed an excellent intraclass correlation coefficient regardless of severity in intraobserver comparisons (>0.904). In addition, the mean absolute difference values in all methods were low and were comparatively similar (<1.73°). However, in interobserver comparisons, reliabilities were significantly decreased in the less severe radiographs, firstly on radiographical shoulder height measures (intraclass correlation coefficients >0.445, mean absolute difference <3.91°). However, the intraclass correlation coefficients in the coracoid height difference and clavicular angle methods were in the excellent range (>0.810 and >0.787, respectively) regardless of severity. In addition, the mean absolute difference values in the clavicular angle method were lower (<0.62°) than others.
CONCLUSION: The higher reliability of the clavicular angle and coracoid height difference methods indicate the clinical usefulness of these methods. Physicians should selectively use the shoulder balance measurement method clinically. LEVEL OF EVIDENCE: 3.

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Year:  2013        PMID: 23804158     DOI: 10.1097/BRS.0b013e3182a18486

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  8 in total

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2.  Predictors of shoulder level after spinal fusion in adolescent idiopathic scoliosis.

Authors:  Jan Henrik Terheyden; Mark Wetterkamp; Georg Gosheger; Viola Bullmann; Ulf Liljenqvist; Tobias Lange; Albert Schulze Bövingloh; Tobias L Schulte
Journal:  Eur Spine J       Date:  2017-07-08       Impact factor: 3.134

3.  Do Current Recommendations for Upper Instrumented Vertebra Predict Shoulder Imbalance? An Attempted Validation of Level Selection for Adolescent Idiopathic Scoliosis.

Authors:  Benjamin T Bjerke; Zoe B Cheung; Grant D Shifflett; Sravisht Iyer; Peter B Derman; Matthew E Cunningham
Journal:  HSS J       Date:  2015-06-27

4.  Is neck tilt and shoulder imbalance the same phenomenon? A prospective analysis of 89 adolescent idiopathic scoliosis patients (Lenke type 1 and 2).

Authors:  Mun Keong Kwan; Kai Ann Wong; Chee Kean Lee; Chris Yin Wei Chan
Journal:  Eur Spine J       Date:  2015-05-12       Impact factor: 3.134

5.  Reliability and validity study of measurements on digital photography to evaluate shoulder balance in idiopathic scoliosis.

Authors:  Antonia Matamalas; Juan Bagó; Elisabetta D'Agata; Ferran Pellisé
Journal:  Scoliosis       Date:  2014-12-14

6.  Lowest Instrumented Vertebrae Selection for Posterior Fusion of Lenke 5C Adolescent Idiopathic Scoliosis: Can We Stop the Fusion One Level Proximal to Lower-end Vertebra?

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Journal:  Indian J Orthop       Date:  2018 Nov-Dec       Impact factor: 1.251

7.  Predictability of Coronal Curve Flexibility in Postoperative Curve Correction in Adolescent Idiopathic Scoliosis: The Effect of the Sagittal Profile.

Authors:  Søren Ohrt-Nissen; Hideki Shigematsu; Jason Pui Yin Cheung; Keith D K Luk; Dino Samartzis
Journal:  Global Spine J       Date:  2019-09-17

8.  Usefulness of modified S-line for upper instrumented vertebra selection in adolescent idiopathic scoliosis Lenke type 2 curves.

Authors:  Tetsuhiko Mimura; Shota Ikegami; Tomohiro Banno; Shoji Seki; Tetsuro Ohba; Hiroki Oba; Shugo Kuraishi; Masashi Uehara; Ryo Munakata; Takashi Takizawa; Terue Hatakenaka; Takayuki Kamanaka; Yoshinari Miyaoka; Daisuke Kurogochi; Takuma Fukuzawa; Hirotaka Haro; Yoshiharu Kawaguchi; Yukihiro Matsuyama; Michihiko Koseki; Jun Takahashi
Journal:  Sci Rep       Date:  2022-10-10       Impact factor: 4.996

  8 in total

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