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Diagnostic sensitivity and specificity of host‐derived salivary biomarkers in periodontal disease amongst adults: Systematic review
Author(s) -
KC Sukriti,
Wang Xiaozhe Z.,
Gallagher Jennifer E.
Publication year - 2020
Publication title -
journal of clinical periodontology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.456
H-Index - 151
eISSN - 1600-051X
pISSN - 0303-6979
DOI - 10.1111/jcpe.13218
Subject(s) - medicine , gingivitis , periodontitis , cochrane library , medline , disease , systematic review , meta analysis , periodontal disease , dentistry , political science , law
Objective To systematically assess the diagnostic value of host‐derived salivary biomarkers based on their reported sensitivity and specificity in relation to clinical parameters of periodontal disease diagnosis in adults. Materials and Methods Comprehensive search of PubMed, Nature, Cochrane and OVID (Embase, MEDLINE [R] and PsycINFO) was conducted up to 1 August 2018, using key terms relevant to the research questions and Cochrane methodology, supplemented by a grey literature search. The revised Quality Assessment of Diagnostic Accuracy Studies (QUADAS‐ 2) tool was used to assess the methodological quality of all included studies. Results Seven studies were included in the review. Macrophage inflammatory protein‐1αlpha (MIP‐1α), interleukin‐1beta (IL‐1β), interleukin‐6 (IL‐6) and matrix metalloproteinase‐8 (MMP‐8) were identified as diagnostically acceptable biomarkers for periodontal disease. Overall, the combination of IL‐6 and MMP‐8 showed best diagnostic performance. Also, a combination of the four key biomarkers (IL‐1β, IL‐6, MMP‐8 and MIP‐1α) showed promising results for distinction between gingivitis and periodontitis, as well as for periodontitis compared with gingival health. Results are interpreted with caution due to limitations in the number of studies included and their quality. Conclusion Certain salivary biomarkers can potentially be useful in combination and singularly for the diagnosis of periodontal disease. However, further methodically robust research is required to validate these biomarkers.