Literature DB >> 15718899

Clinical validation of the multiplier method for predicting limb length at maturity, part I.

Julyn A Aguilar1, Dror Paley, Jonathan Paley, Shivkumar Santpure, Minoo Patel, Anil Bhave, John E Herzenberg.   

Abstract

To validate the accuracy of the multiplier method in predicting bone and limb maturity lengths, radiographs of 60 patients treated for lower limb length discrepancy were measured. Longitudinal limb length data were used to predict maturity lengths of non-epiphysiodesed normal bones and short bones. Mean errors for predictions were 1.1 cm (SD = 0.9) and 1.5 cm (SD = 1.3) for the multiplier method using chronologic age and skeletal age, respectively. Regression correlation values between multiplier method predictions and actual measurements were 0.93 using chronologic age and 0.90 using skeletal age. The multiplier method was more accurate than prediction using the Anderson et al growth charts. Mean error for limb length predictions was 2.5 cm for the multiplier method using chronologic age and 2.6 cm for the Moseley method. Although as accurate as the Moseley method, the multiplier method seems to be quicker and simpler to use and requires only one data point for predicting limb length at maturity.

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Year:  2005        PMID: 15718899     DOI: 10.1097/01.bpo.0000150809.28171.12

Source DB:  PubMed          Journal:  J Pediatr Orthop        ISSN: 0271-6798            Impact factor:   2.324


  14 in total

1.  CORR Insights(®): Paley's multiplier method does not accurately predict adult height in children with bone sarcoma.

Authors:  Hae-Ryong Song
Journal:  Clin Orthop Relat Res       Date:  2014-05-29       Impact factor: 4.176

2.  Possible mistakes in prediction of bone maturation in fibular hemimelia by Moseley chart.

Authors:  György Szoke; William G Mackenzie; Gyula Domos; Sándor Berki; Sándor Kiss; J Richard Bowen
Journal:  Int Orthop       Date:  2010-03-20       Impact factor: 3.075

3.  Normal Ranges of Upper Extremity Length, Circumference, and Rate of Growth in the Pediatric Population.

Authors:  Tyler Edmond; Alexandra Laps; Alexandria L Case; Nathan O'Hara; Joshua M Abzug
Journal:  Hand (N Y)       Date:  2019-02-01

4.  Estimation of stature and length of limb segments in children and adolescents from whole-body dual-energy X-ray absorptiometry scans.

Authors:  Davit O Abrahamyan; Aram Gazarian; Pierre M Braillon
Journal:  Pediatr Radiol       Date:  2008-01-15

5.  Analysis of Association between Morphometric Parameters of Growth Plate and Bone Growth of Tibia in Mice and Humans.

Authors:  Kimberly Wilson; Yu Usami; Danielle Hogarth; Amanda L Scheiber; Hongying Tian; Takeshi Oichi; Yulong Wei; Ling Qin; Satoru Otsuru; Satoru Toyosawa; Masahiro Iwamoto; Joshua M Abzug; Motomi Enomoto-Iwamoto
Journal:  Cartilage       Date:  2020-01-30       Impact factor: 3.117

6.  An improved spreadsheet for calculating limb length discrepancy and epiphysiodesis timing using the multiplier method.

Authors:  Gavin Mills; Scott Nelson
Journal:  J Child Orthop       Date:  2016-06-29       Impact factor: 1.548

Review 7.  Surgical reconstruction for fibular hemimelia.

Authors:  Dror Paley
Journal:  J Child Orthop       Date:  2016-12-01       Impact factor: 1.548

Review 8.  Multiplier method may be unreliable to predict the timing of temporary hemiepiphysiodesis for coronal angular deformity.

Authors:  Zhenkai Wu; Jing Ding; Dahang Zhao; Li Zhao; Hai Li; Jianlin Liu
Journal:  J Orthop Surg Res       Date:  2017-07-10       Impact factor: 2.359

9.  Is There a Reliable Method to Predict the Limb Length Discrepancy after Chemotherapy and Limb Salvage Surgery in Children with Osteosarcoma?

Authors:  Yuan Li; Feng Liao; Hai-Rong Xu; Xiao-Hui Niu
Journal:  Chin Med J (Engl)       Date:  2016-08-20       Impact factor: 2.628

10.  Validation of the multiplier method for leg-length predictions on a large European cohort and an assessment of the effect of physiological age on predictions.

Authors:  J J Aird; C L Cheesman; A T Schade; F P Monsell
Journal:  J Child Orthop       Date:  2017       Impact factor: 1.548

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