Identifying and avoiding risk of bias in caries diagnostic studies
Abstract: 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
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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Journal of clinical medicine. - 10, 15 (2021) , 3223, ISSN: 2077-0383
- Ereignis
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Veröffentlichung
- (wo)
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Freiburg
- (wer)
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Universität
- (wann)
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2021
- Urheber
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Kühnisch, Jan
Rankovic, Mila Janjic
Kapor, Svetlana
Schüler, Ina
Krause, Felix
Michou, Stavroula
Ekstrand, Kim Rud
Eggmann, Florin
Neuhaus, Klaus
Lussi, Adrian
Huysmans, Marie-Charlotte
- DOI
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10.3390/jcm10153223
- URN
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urn:nbn:de:bsz:25-freidok-2208237
- Rechteinformation
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Kein Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:39 MESZ
Datenpartner
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Beteiligte
- Kühnisch, Jan
- Rankovic, Mila Janjic
- Kapor, Svetlana
- Schüler, Ina
- Krause, Felix
- Michou, Stavroula
- Ekstrand, Kim Rud
- Eggmann, Florin
- Neuhaus, Klaus
- Lussi, Adrian
- Huysmans, Marie-Charlotte
- Universität
Entstanden
- 2021
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