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Diagnostic accuracy of telemedicine for detection of surgical site infection: a systematic review and meta-analysis
The Sars-CoV-2 pandemic catalysed integration of telemedicine worldwide. This systematic review assesses it’s accuracy for diagnosis of Surgical Site Infection (SSI). Databases were searched for telemedicine and wound infection studies. All types of studies were included, only paired designs were ta...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9349203/ https://www.ncbi.nlm.nih.gov/pubmed/35922663 http://dx.doi.org/10.1038/s41746-022-00655-0 |
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author | Lathan, Ross Sidapra, Misha Yiasemidou, Marina Long, Judith Totty, Joshua Smith, George Chetter, Ian |
author_facet | Lathan, Ross Sidapra, Misha Yiasemidou, Marina Long, Judith Totty, Joshua Smith, George Chetter, Ian |
author_sort | Lathan, Ross |
collection | PubMed |
description | The Sars-CoV-2 pandemic catalysed integration of telemedicine worldwide. This systematic review assesses it’s accuracy for diagnosis of Surgical Site Infection (SSI). Databases were searched for telemedicine and wound infection studies. All types of studies were included, only paired designs were taken to meta-analysis. QUADAS-2 assessed methodological quality. 1400 titles and abstracts were screened, 61 full text reports were assessed for eligibility and 17 studies were included in meta-analysis, mean age was 47.1 ± 13.3 years. Summary sensitivity and specificity was 87.8% (95% CI, 68.4–96.1) and 96.8% (95% CI 93.5–98.4) respectively. The overall SSI rate was 5.6%. Photograph methods had lower sensitivity and specificity at 63.9% (95% CI 30.4–87.8) and 92.6% (95% CI, 89.9–94.5). Telemedicine is highly specific for SSI diagnosis is highly specific, giving rise to great potential for utilisation excluding SSI. Further work is needed to investigate feasibility telemedicine in the elderly population group. |
format | Online Article Text |
id | pubmed-9349203 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93492032022-08-05 Diagnostic accuracy of telemedicine for detection of surgical site infection: a systematic review and meta-analysis Lathan, Ross Sidapra, Misha Yiasemidou, Marina Long, Judith Totty, Joshua Smith, George Chetter, Ian NPJ Digit Med Article The Sars-CoV-2 pandemic catalysed integration of telemedicine worldwide. This systematic review assesses it’s accuracy for diagnosis of Surgical Site Infection (SSI). Databases were searched for telemedicine and wound infection studies. All types of studies were included, only paired designs were taken to meta-analysis. QUADAS-2 assessed methodological quality. 1400 titles and abstracts were screened, 61 full text reports were assessed for eligibility and 17 studies were included in meta-analysis, mean age was 47.1 ± 13.3 years. Summary sensitivity and specificity was 87.8% (95% CI, 68.4–96.1) and 96.8% (95% CI 93.5–98.4) respectively. The overall SSI rate was 5.6%. Photograph methods had lower sensitivity and specificity at 63.9% (95% CI 30.4–87.8) and 92.6% (95% CI, 89.9–94.5). Telemedicine is highly specific for SSI diagnosis is highly specific, giving rise to great potential for utilisation excluding SSI. Further work is needed to investigate feasibility telemedicine in the elderly population group. Nature Publishing Group UK 2022-08-03 /pmc/articles/PMC9349203/ /pubmed/35922663 http://dx.doi.org/10.1038/s41746-022-00655-0 Text en © The Author(s) 2022 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Lathan, Ross Sidapra, Misha Yiasemidou, Marina Long, Judith Totty, Joshua Smith, George Chetter, Ian Diagnostic accuracy of telemedicine for detection of surgical site infection: a systematic review and meta-analysis |
title | Diagnostic accuracy of telemedicine for detection of surgical site infection: a systematic review and meta-analysis |
title_full | Diagnostic accuracy of telemedicine for detection of surgical site infection: a systematic review and meta-analysis |
title_fullStr | Diagnostic accuracy of telemedicine for detection of surgical site infection: a systematic review and meta-analysis |
title_full_unstemmed | Diagnostic accuracy of telemedicine for detection of surgical site infection: a systematic review and meta-analysis |
title_short | Diagnostic accuracy of telemedicine for detection of surgical site infection: a systematic review and meta-analysis |
title_sort | diagnostic accuracy of telemedicine for detection of surgical site infection: a systematic review and meta-analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9349203/ https://www.ncbi.nlm.nih.gov/pubmed/35922663 http://dx.doi.org/10.1038/s41746-022-00655-0 |
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