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Identifying and Avoiding Risk of Bias in Caries Diagnostic Studies
Caries diagnostic studies differ with respect to their design, included patients/tooth samples, use of diagnostic and reference methods, calibration, blinding and data reporting. Such heterogeneity makes comparisons between studies difficult and could represent a substantial risk of bias (RoB) when...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347423/ https://www.ncbi.nlm.nih.gov/pubmed/34362007 http://dx.doi.org/10.3390/jcm10153223 |
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author | Kühnisch, Jan Janjic Rankovic, Mila Kapor, Svetlana Schüler, Ina Krause, Felix Michou, Stavroula Ekstrand, Kim Eggmann, Florin Neuhaus, Klaus W. Lussi, Adrian Huysmans, Marie-Charlotte |
author_facet | Kühnisch, Jan Janjic Rankovic, Mila Kapor, Svetlana Schüler, Ina Krause, Felix Michou, Stavroula Ekstrand, Kim Eggmann, Florin Neuhaus, Klaus W. Lussi, Adrian Huysmans, Marie-Charlotte |
author_sort | Kühnisch, Jan |
collection | PubMed |
description | Caries diagnostic studies differ with respect to their design, included patients/tooth samples, use of diagnostic and reference methods, calibration, blinding and data reporting. Such heterogeneity makes comparisons between studies difficult and could represent a substantial risk of bias (RoB) when it is not identified. Therefore, the present report aims to describe the development and background of a RoB assessment tool for caries diagnostic studies. The expert group developed and agreed to use a RoB assessment tool during three workshops. Here, existing instruments (e.g., QUADAS 2 and the Joanna Briggs Institute Reviewers’ Manual) influenced the hierarchy and phrasing of the signalling questions that were adapted to the specific dental purpose. The tailored RoB assessment tool that was created consists of 16 signalling questions that are organized in four domains. This tool considers the selection/spectrum bias (1), the bias of the index (2) and reference tests (3), and the bias of the study flow and data analysis (4) and can be downloaded from the journal website. This paper explores possible sources of heterogeneity and bias in caries diagnostic studies and summarizes the relevant methodological aspects. |
format | Online Article Text |
id | pubmed-8347423 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83474232021-08-08 Identifying and Avoiding Risk of Bias in Caries Diagnostic Studies Kühnisch, Jan Janjic Rankovic, Mila Kapor, Svetlana Schüler, Ina Krause, Felix Michou, Stavroula Ekstrand, Kim Eggmann, Florin Neuhaus, Klaus W. Lussi, Adrian Huysmans, Marie-Charlotte J Clin Med Communication Caries diagnostic studies differ with respect to their design, included patients/tooth samples, use of diagnostic and reference methods, calibration, blinding and data reporting. Such heterogeneity makes comparisons between studies difficult and could represent a substantial risk of bias (RoB) when it is not identified. Therefore, the present report aims to describe the development and background of a RoB assessment tool for caries diagnostic studies. The expert group developed and agreed to use a RoB assessment tool during three workshops. Here, existing instruments (e.g., QUADAS 2 and the Joanna Briggs Institute Reviewers’ Manual) influenced the hierarchy and phrasing of the signalling questions that were adapted to the specific dental purpose. The tailored RoB assessment tool that was created consists of 16 signalling questions that are organized in four domains. This tool considers the selection/spectrum bias (1), the bias of the index (2) and reference tests (3), and the bias of the study flow and data analysis (4) and can be downloaded from the journal website. This paper explores possible sources of heterogeneity and bias in caries diagnostic studies and summarizes the relevant methodological aspects. MDPI 2021-07-22 /pmc/articles/PMC8347423/ /pubmed/34362007 http://dx.doi.org/10.3390/jcm10153223 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Communication Kühnisch, Jan Janjic Rankovic, Mila Kapor, Svetlana Schüler, Ina Krause, Felix Michou, Stavroula Ekstrand, Kim Eggmann, Florin Neuhaus, Klaus W. Lussi, Adrian Huysmans, Marie-Charlotte Identifying and Avoiding Risk of Bias in Caries Diagnostic Studies |
title | Identifying and Avoiding Risk of Bias in Caries Diagnostic Studies |
title_full | Identifying and Avoiding Risk of Bias in Caries Diagnostic Studies |
title_fullStr | Identifying and Avoiding Risk of Bias in Caries Diagnostic Studies |
title_full_unstemmed | Identifying and Avoiding Risk of Bias in Caries Diagnostic Studies |
title_short | Identifying and Avoiding Risk of Bias in Caries Diagnostic Studies |
title_sort | identifying and avoiding risk of bias in caries diagnostic studies |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8347423/ https://www.ncbi.nlm.nih.gov/pubmed/34362007 http://dx.doi.org/10.3390/jcm10153223 |
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