Cargando…
Reporting errors in plain radiographs for lower limb trauma—a systematic review and meta-analysis
INTRODUCTION: Plain radiographs are a globally ubiquitous means of investigation for injuries to the musculoskeletal system. Despite this, initial interpretation remains a challenge and inaccuracies give rise to adverse sequelae for patients and healthcare providers alike. This study sought to addre...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8626392/ https://www.ncbi.nlm.nih.gov/pubmed/34143230 http://dx.doi.org/10.1007/s00256-021-03821-9 |
_version_ | 1784606646327050240 |
---|---|
author | York, Thomas Franklin, Christopher Reynolds, Kate Munro, Greg Jenney, Heloise Harland, William Leong, Darren |
author_facet | York, Thomas Franklin, Christopher Reynolds, Kate Munro, Greg Jenney, Heloise Harland, William Leong, Darren |
author_sort | York, Thomas |
collection | PubMed |
description | INTRODUCTION: Plain radiographs are a globally ubiquitous means of investigation for injuries to the musculoskeletal system. Despite this, initial interpretation remains a challenge and inaccuracies give rise to adverse sequelae for patients and healthcare providers alike. This study sought to address the limited, existing meta-analytic research on the initial reporting of radiographs for skeletal trauma, with specific regard to diagnostic accuracy of the most commonly injured region of the appendicular skeleton, the lower limb. METHOD: A prospectively registered, systematic review and meta-analysis was performed using published research from the major clinical-science databases. Studies identified as appropriate for inclusion underwent methodological quality and risk of bias analysis. Meta-analysis was then performed to establish summary rates for specificity and sensitivity of diagnostic accuracy, including covariates by anatomical site, using HSROC and bivariate models. RESULTS: A total of 3887 articles were screened, with 10 identified as suitable for analysis based on the eligibility criteria. Sensitivity and specificity across the studies were 93.5% and 89.7% respectively. Compared with other anatomical subdivisions, interpretation of ankle radiographs yielded the highest sensitivity and specificity, with values of 98.1% and 94.6% respectively, and a diagnostic odds ratio of 929.97. CONCLUSION: Interpretation of lower limb skeletal radiographs operates at a reasonably high degree of sensitivity and specificity. However, one in twenty true positives is missed on initial radiographic interpretation and safety netting systems need to be established to address this. Virtual fracture clinic reviews and teleradiology services in conjunction with novel technology will likely be crucial in these circumstances. |
format | Online Article Text |
id | pubmed-8626392 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-86263922021-12-01 Reporting errors in plain radiographs for lower limb trauma—a systematic review and meta-analysis York, Thomas Franklin, Christopher Reynolds, Kate Munro, Greg Jenney, Heloise Harland, William Leong, Darren Skeletal Radiol Scientific Article INTRODUCTION: Plain radiographs are a globally ubiquitous means of investigation for injuries to the musculoskeletal system. Despite this, initial interpretation remains a challenge and inaccuracies give rise to adverse sequelae for patients and healthcare providers alike. This study sought to address the limited, existing meta-analytic research on the initial reporting of radiographs for skeletal trauma, with specific regard to diagnostic accuracy of the most commonly injured region of the appendicular skeleton, the lower limb. METHOD: A prospectively registered, systematic review and meta-analysis was performed using published research from the major clinical-science databases. Studies identified as appropriate for inclusion underwent methodological quality and risk of bias analysis. Meta-analysis was then performed to establish summary rates for specificity and sensitivity of diagnostic accuracy, including covariates by anatomical site, using HSROC and bivariate models. RESULTS: A total of 3887 articles were screened, with 10 identified as suitable for analysis based on the eligibility criteria. Sensitivity and specificity across the studies were 93.5% and 89.7% respectively. Compared with other anatomical subdivisions, interpretation of ankle radiographs yielded the highest sensitivity and specificity, with values of 98.1% and 94.6% respectively, and a diagnostic odds ratio of 929.97. CONCLUSION: Interpretation of lower limb skeletal radiographs operates at a reasonably high degree of sensitivity and specificity. However, one in twenty true positives is missed on initial radiographic interpretation and safety netting systems need to be established to address this. Virtual fracture clinic reviews and teleradiology services in conjunction with novel technology will likely be crucial in these circumstances. Springer Berlin Heidelberg 2021-06-18 2022 /pmc/articles/PMC8626392/ /pubmed/34143230 http://dx.doi.org/10.1007/s00256-021-03821-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Scientific Article York, Thomas Franklin, Christopher Reynolds, Kate Munro, Greg Jenney, Heloise Harland, William Leong, Darren Reporting errors in plain radiographs for lower limb trauma—a systematic review and meta-analysis |
title | Reporting errors in plain radiographs for lower limb trauma—a systematic review and meta-analysis |
title_full | Reporting errors in plain radiographs for lower limb trauma—a systematic review and meta-analysis |
title_fullStr | Reporting errors in plain radiographs for lower limb trauma—a systematic review and meta-analysis |
title_full_unstemmed | Reporting errors in plain radiographs for lower limb trauma—a systematic review and meta-analysis |
title_short | Reporting errors in plain radiographs for lower limb trauma—a systematic review and meta-analysis |
title_sort | reporting errors in plain radiographs for lower limb trauma—a systematic review and meta-analysis |
topic | Scientific Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8626392/ https://www.ncbi.nlm.nih.gov/pubmed/34143230 http://dx.doi.org/10.1007/s00256-021-03821-9 |
work_keys_str_mv | AT yorkthomas reportingerrorsinplainradiographsforlowerlimbtraumaasystematicreviewandmetaanalysis AT franklinchristopher reportingerrorsinplainradiographsforlowerlimbtraumaasystematicreviewandmetaanalysis AT reynoldskate reportingerrorsinplainradiographsforlowerlimbtraumaasystematicreviewandmetaanalysis AT munrogreg reportingerrorsinplainradiographsforlowerlimbtraumaasystematicreviewandmetaanalysis AT jenneyheloise reportingerrorsinplainradiographsforlowerlimbtraumaasystematicreviewandmetaanalysis AT harlandwilliam reportingerrorsinplainradiographsforlowerlimbtraumaasystematicreviewandmetaanalysis AT leongdarren reportingerrorsinplainradiographsforlowerlimbtraumaasystematicreviewandmetaanalysis |