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Performance of commercial tests for molecular detection of Shiga toxin-producing Escherichia coli (STEC): a systematic review and meta-analysis protocol
INTRODUCTION: Rapid detection of Shiga toxin-producing Escherichia coli (STEC) enables appropriate treatment. Numerous commercially available molecular tests exist, but they vary in clinical performance. This systematic review aims to synthesise available evidence to compare the clinical performance...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6430022/ https://www.ncbi.nlm.nih.gov/pubmed/30850413 http://dx.doi.org/10.1136/bmjopen-2018-025950 |
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author | Tarr, Gillian A M Lin, Chu Yang Lorenzetti, Diane Chui, Linda Tarr, Phillip I Hartling, Lisa Vandermeer, Ben Freedman, Stephen B |
author_facet | Tarr, Gillian A M Lin, Chu Yang Lorenzetti, Diane Chui, Linda Tarr, Phillip I Hartling, Lisa Vandermeer, Ben Freedman, Stephen B |
author_sort | Tarr, Gillian A M |
collection | PubMed |
description | INTRODUCTION: Rapid detection of Shiga toxin-producing Escherichia coli (STEC) enables appropriate treatment. Numerous commercially available molecular tests exist, but they vary in clinical performance. This systematic review aims to synthesise available evidence to compare the clinical performance of enzyme immunoassay (EIA) and nucleic acid amplification tests (NAATs) for the detection of STEC. METHODS AND ANALYSIS: The following databases will be searched employing a standardised search strategy: Medline, Embase, Cochrane CENTRAL Register of Controlled Trials, Cochrane Database of Systematic Reviews, PubMed, Scopus and Web of Science. Grey literature will be searched under advice from a medical librarian. Independent reviewers will screen titles, abstracts and full texts of retrieved studies for relevant studies. Data will be extracted independently by two reviewers, using a piloted template. Quality Assessment of Diagnostic Accuracy Studies-2 will be employed to assess the risk of bias of individual studies, and the quality of evidence will be assessed with the Grading of Recommendations Assessment, Development and Evaluation approach. A bivariate random-effects model will be used to meta-analyse the sensitivity and specificity of commercial STEC diagnostic tests, and a hierarchical summary receiver operator characteristic curve will be constructed. Studies of single test accuracy of EIA and NAATs and studies of comparative accuracy will be analysed separately. ETHICS AND DISSEMINATION: Ethics approval was not required for this systematic review and meta-analysis. Findings will be disseminated in conferences, through a peer-reviewed journal and via personal interactions with relevant stakeholders. PROSPERO REGISTRATION NUMBER: CRD42018099119. |
format | Online Article Text |
id | pubmed-6430022 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-64300222019-04-05 Performance of commercial tests for molecular detection of Shiga toxin-producing Escherichia coli (STEC): a systematic review and meta-analysis protocol Tarr, Gillian A M Lin, Chu Yang Lorenzetti, Diane Chui, Linda Tarr, Phillip I Hartling, Lisa Vandermeer, Ben Freedman, Stephen B BMJ Open Infectious Diseases INTRODUCTION: Rapid detection of Shiga toxin-producing Escherichia coli (STEC) enables appropriate treatment. Numerous commercially available molecular tests exist, but they vary in clinical performance. This systematic review aims to synthesise available evidence to compare the clinical performance of enzyme immunoassay (EIA) and nucleic acid amplification tests (NAATs) for the detection of STEC. METHODS AND ANALYSIS: The following databases will be searched employing a standardised search strategy: Medline, Embase, Cochrane CENTRAL Register of Controlled Trials, Cochrane Database of Systematic Reviews, PubMed, Scopus and Web of Science. Grey literature will be searched under advice from a medical librarian. Independent reviewers will screen titles, abstracts and full texts of retrieved studies for relevant studies. Data will be extracted independently by two reviewers, using a piloted template. Quality Assessment of Diagnostic Accuracy Studies-2 will be employed to assess the risk of bias of individual studies, and the quality of evidence will be assessed with the Grading of Recommendations Assessment, Development and Evaluation approach. A bivariate random-effects model will be used to meta-analyse the sensitivity and specificity of commercial STEC diagnostic tests, and a hierarchical summary receiver operator characteristic curve will be constructed. Studies of single test accuracy of EIA and NAATs and studies of comparative accuracy will be analysed separately. ETHICS AND DISSEMINATION: Ethics approval was not required for this systematic review and meta-analysis. Findings will be disseminated in conferences, through a peer-reviewed journal and via personal interactions with relevant stakeholders. PROSPERO REGISTRATION NUMBER: CRD42018099119. BMJ Publishing Group 2019-03-07 /pmc/articles/PMC6430022/ /pubmed/30850413 http://dx.doi.org/10.1136/bmjopen-2018-025950 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article 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, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Infectious Diseases Tarr, Gillian A M Lin, Chu Yang Lorenzetti, Diane Chui, Linda Tarr, Phillip I Hartling, Lisa Vandermeer, Ben Freedman, Stephen B Performance of commercial tests for molecular detection of Shiga toxin-producing Escherichia coli (STEC): a systematic review and meta-analysis protocol |
title | Performance of commercial tests for molecular detection of Shiga toxin-producing Escherichia coli (STEC): a systematic review and meta-analysis protocol |
title_full | Performance of commercial tests for molecular detection of Shiga toxin-producing Escherichia coli (STEC): a systematic review and meta-analysis protocol |
title_fullStr | Performance of commercial tests for molecular detection of Shiga toxin-producing Escherichia coli (STEC): a systematic review and meta-analysis protocol |
title_full_unstemmed | Performance of commercial tests for molecular detection of Shiga toxin-producing Escherichia coli (STEC): a systematic review and meta-analysis protocol |
title_short | Performance of commercial tests for molecular detection of Shiga toxin-producing Escherichia coli (STEC): a systematic review and meta-analysis protocol |
title_sort | performance of commercial tests for molecular detection of shiga toxin-producing escherichia coli (stec): a systematic review and meta-analysis protocol |
topic | Infectious Diseases |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6430022/ https://www.ncbi.nlm.nih.gov/pubmed/30850413 http://dx.doi.org/10.1136/bmjopen-2018-025950 |
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