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Digital blinding of radiographs to mask allocation in a randomized control trial
AIM: To demonstrate the effectiveness of a digital radiographic altering technique in concealing treatment allocation to blind outcome assessment of distal femur fracture fixation. METHODS: Digital postoperative anteroposterior and lateral radiographs from a sample of 33 randomly-selected patients w...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5656494/ https://www.ncbi.nlm.nih.gov/pubmed/29094009 http://dx.doi.org/10.5312/wjo.v8.i10.785 |
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author | Slobogean, Gerard P Soswa, Lukasz Rotunno, Giuliana O’Brien, Peter J Lefaivre, Kelly A |
author_facet | Slobogean, Gerard P Soswa, Lukasz Rotunno, Giuliana O’Brien, Peter J Lefaivre, Kelly A |
author_sort | Slobogean, Gerard P |
collection | PubMed |
description | AIM: To demonstrate the effectiveness of a digital radiographic altering technique in concealing treatment allocation to blind outcome assessment of distal femur fracture fixation. METHODS: Digital postoperative anteroposterior and lateral radiographs from a sample of 33 randomly-selected patients with extra-articular distal femur fractures treated by surgical fixation at a Level 1 trauma center were included. Using commercially available digital altering software, we devised a technique to blind the radiographs by overlaying black boxes over the implant hardware while preserving an exposed fracture site for assessment of fracture healing. Three fellowship-trained surgeons evaluated a set of blinded radiographs twice and a control set of unblinded radiographs once. Each set of radiographs were reviewed independently and in a randomly-assigned order. The degrees of agreement and disagreement among evaluators in identifying implant type while reviewing both blinded and unblinded radiographs were assessed using the Bang Blinding Index and James Blinding Index. The degree of agreement in fracture union was assessed using kappa statistics. RESULTS: The assessment of blinded radiographs with both the Bang Blinding Index (BBI) and James Blinding Index (JBI) demonstrated a low degree of evaluator success at identifying implant type (Mean BBI, far cortical locking: -0.03, SD: 0.04; Mean BBI, standard screw: 0, SD: 0; JBI: 0.98, SD: 0), suggesting near perfect blinding. The assessment of unblinded radiographs with both blinding indices demonstrated a high degree of evaluator success at identifying implant type (Mean BBI, far cortical locking: 0.89, SD: 0.19; Mean BBI, standard screw: 0.87, SD: 0.04; JBI: 0.26, SD: 0.12), as expected. There was moderate agreement with regard to assessment of fracture union among the evaluators in both the blinded (Kappa: 0.38, 95%CI: 0.25-0.52) and unblinded (Kappa: 0.35, 95%CI: 0.25-0.45) arms of the study. There was no statistically significant difference in fracture union agreement between the blinded and unblinded groups. CONCLUSION: The digital blinding technique successfully masked the surgeons to the type of implant used for surgical treatment of distal femur fractures but did not interfere with the surgeons’ ability to reliably evaluate radiographic healing at the fracture site. |
format | Online Article Text |
id | pubmed-5656494 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-56564942017-11-01 Digital blinding of radiographs to mask allocation in a randomized control trial Slobogean, Gerard P Soswa, Lukasz Rotunno, Giuliana O’Brien, Peter J Lefaivre, Kelly A World J Orthop Observational Study AIM: To demonstrate the effectiveness of a digital radiographic altering technique in concealing treatment allocation to blind outcome assessment of distal femur fracture fixation. METHODS: Digital postoperative anteroposterior and lateral radiographs from a sample of 33 randomly-selected patients with extra-articular distal femur fractures treated by surgical fixation at a Level 1 trauma center were included. Using commercially available digital altering software, we devised a technique to blind the radiographs by overlaying black boxes over the implant hardware while preserving an exposed fracture site for assessment of fracture healing. Three fellowship-trained surgeons evaluated a set of blinded radiographs twice and a control set of unblinded radiographs once. Each set of radiographs were reviewed independently and in a randomly-assigned order. The degrees of agreement and disagreement among evaluators in identifying implant type while reviewing both blinded and unblinded radiographs were assessed using the Bang Blinding Index and James Blinding Index. The degree of agreement in fracture union was assessed using kappa statistics. RESULTS: The assessment of blinded radiographs with both the Bang Blinding Index (BBI) and James Blinding Index (JBI) demonstrated a low degree of evaluator success at identifying implant type (Mean BBI, far cortical locking: -0.03, SD: 0.04; Mean BBI, standard screw: 0, SD: 0; JBI: 0.98, SD: 0), suggesting near perfect blinding. The assessment of unblinded radiographs with both blinding indices demonstrated a high degree of evaluator success at identifying implant type (Mean BBI, far cortical locking: 0.89, SD: 0.19; Mean BBI, standard screw: 0.87, SD: 0.04; JBI: 0.26, SD: 0.12), as expected. There was moderate agreement with regard to assessment of fracture union among the evaluators in both the blinded (Kappa: 0.38, 95%CI: 0.25-0.52) and unblinded (Kappa: 0.35, 95%CI: 0.25-0.45) arms of the study. There was no statistically significant difference in fracture union agreement between the blinded and unblinded groups. CONCLUSION: The digital blinding technique successfully masked the surgeons to the type of implant used for surgical treatment of distal femur fractures but did not interfere with the surgeons’ ability to reliably evaluate radiographic healing at the fracture site. Baishideng Publishing Group Inc 2017-10-18 /pmc/articles/PMC5656494/ /pubmed/29094009 http://dx.doi.org/10.5312/wjo.v8.i10.785 Text en ©The Author(s) 2017. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Observational Study Slobogean, Gerard P Soswa, Lukasz Rotunno, Giuliana O’Brien, Peter J Lefaivre, Kelly A Digital blinding of radiographs to mask allocation in a randomized control trial |
title | Digital blinding of radiographs to mask allocation in a randomized control trial |
title_full | Digital blinding of radiographs to mask allocation in a randomized control trial |
title_fullStr | Digital blinding of radiographs to mask allocation in a randomized control trial |
title_full_unstemmed | Digital blinding of radiographs to mask allocation in a randomized control trial |
title_short | Digital blinding of radiographs to mask allocation in a randomized control trial |
title_sort | digital blinding of radiographs to mask allocation in a randomized control trial |
topic | Observational Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5656494/ https://www.ncbi.nlm.nih.gov/pubmed/29094009 http://dx.doi.org/10.5312/wjo.v8.i10.785 |
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