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Infrared thermography in the diagnosis of musculoskeletal injuries: A protocol for a systematic review and meta-analysis

BACKGROUND: Musculoskeletal injuries (MSDs) have become a major public health problem worldwide. Current diagnosis techniques for MSDs are often associated with radiation exposure, expensive cost, or contraindication. Infrared thermography (IRT) is becoming a proposed tool to assist in diagnosing MS...

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Autores principales: Li, Xiaoyu, Zhang, Yajun, Sun, Haiju, Jiang, Yongliang, Lou, Jiali, He, Xiaofen, Fang, Jianqiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7717754/
https://www.ncbi.nlm.nih.gov/pubmed/33285767
http://dx.doi.org/10.1097/MD.0000000000023529
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author Li, Xiaoyu
Zhang, Yajun
Sun, Haiju
Jiang, Yongliang
Lou, Jiali
He, Xiaofen
Fang, Jianqiao
author_facet Li, Xiaoyu
Zhang, Yajun
Sun, Haiju
Jiang, Yongliang
Lou, Jiali
He, Xiaofen
Fang, Jianqiao
author_sort Li, Xiaoyu
collection PubMed
description BACKGROUND: Musculoskeletal injuries (MSDs) have become a major public health problem worldwide. Current diagnosis techniques for MSDs are often associated with radiation exposure, expensive cost, or contraindication. Infrared thermography (IRT) is becoming a proposed tool to assist in diagnosing MSDs, but current evidence is inconclusive. Thus, herein we aimed to evaluate the diagnostic accuracy of IRT for MSDs. METHODS: We will search EMBASE, MEDLINE, EBSCO, Cochrane Library, SCOPUS, Web of Science, CNKI, SinoMed, and Wangfang. Two researchers will independently screen eligible studies. Study quality will be evaluated based on the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Data synthesis will be completed using STATA 14.0 software. A bivariate random-effects analysis will be utilized to estimate the pooled estimation of the diagnostic odds ratio (DOR) and the summary receiver operating characteristics (SROC) curve. Subgroup analyses will be performed to determine heterogeneity sources. RESULTS: This systematic review and meta-analysis will provide reliable evidence about the diagnostic accuracy of IRT for MSDs. CONCLUSION: The conclusion of this study will be published in a peer-reviewed journal. ETHICS AND COMMUNICATION: Given that this is a systematic review of published research, patient consent and ethical approval are not relevant. The findings of this study will be disseminated through conference presentations and publication in peer-reviewed journals. PROSPERO REGISTRATION NUMBER: CRD42020184867.
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spelling pubmed-77177542020-12-07 Infrared thermography in the diagnosis of musculoskeletal injuries: A protocol for a systematic review and meta-analysis Li, Xiaoyu Zhang, Yajun Sun, Haiju Jiang, Yongliang Lou, Jiali He, Xiaofen Fang, Jianqiao Medicine (Baltimore) 4100 BACKGROUND: Musculoskeletal injuries (MSDs) have become a major public health problem worldwide. Current diagnosis techniques for MSDs are often associated with radiation exposure, expensive cost, or contraindication. Infrared thermography (IRT) is becoming a proposed tool to assist in diagnosing MSDs, but current evidence is inconclusive. Thus, herein we aimed to evaluate the diagnostic accuracy of IRT for MSDs. METHODS: We will search EMBASE, MEDLINE, EBSCO, Cochrane Library, SCOPUS, Web of Science, CNKI, SinoMed, and Wangfang. Two researchers will independently screen eligible studies. Study quality will be evaluated based on the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Data synthesis will be completed using STATA 14.0 software. A bivariate random-effects analysis will be utilized to estimate the pooled estimation of the diagnostic odds ratio (DOR) and the summary receiver operating characteristics (SROC) curve. Subgroup analyses will be performed to determine heterogeneity sources. RESULTS: This systematic review and meta-analysis will provide reliable evidence about the diagnostic accuracy of IRT for MSDs. CONCLUSION: The conclusion of this study will be published in a peer-reviewed journal. ETHICS AND COMMUNICATION: Given that this is a systematic review of published research, patient consent and ethical approval are not relevant. The findings of this study will be disseminated through conference presentations and publication in peer-reviewed journals. PROSPERO REGISTRATION NUMBER: CRD42020184867. Lippincott Williams & Wilkins 2020-12-04 /pmc/articles/PMC7717754/ /pubmed/33285767 http://dx.doi.org/10.1097/MD.0000000000023529 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0
spellingShingle 4100
Li, Xiaoyu
Zhang, Yajun
Sun, Haiju
Jiang, Yongliang
Lou, Jiali
He, Xiaofen
Fang, Jianqiao
Infrared thermography in the diagnosis of musculoskeletal injuries: A protocol for a systematic review and meta-analysis
title Infrared thermography in the diagnosis of musculoskeletal injuries: A protocol for a systematic review and meta-analysis
title_full Infrared thermography in the diagnosis of musculoskeletal injuries: A protocol for a systematic review and meta-analysis
title_fullStr Infrared thermography in the diagnosis of musculoskeletal injuries: A protocol for a systematic review and meta-analysis
title_full_unstemmed Infrared thermography in the diagnosis of musculoskeletal injuries: A protocol for a systematic review and meta-analysis
title_short Infrared thermography in the diagnosis of musculoskeletal injuries: A protocol for a systematic review and meta-analysis
title_sort infrared thermography in the diagnosis of musculoskeletal injuries: a protocol for a systematic review and meta-analysis
topic 4100
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7717754/
https://www.ncbi.nlm.nih.gov/pubmed/33285767
http://dx.doi.org/10.1097/MD.0000000000023529
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