Evidence map›Paper›PMID 33742017›Full record

ArticleScientific reports2021

Validation and verification of predictive salivary biomarkers for oral health.

Nagihan Bostanci, Konstantinos Mitsakakis, Beral Afacan, Kai Bao, Benita Johannsen, Desirée Baumgartner, Lara Müller, Hana Kotolová, Gülnur Emingil, Michal Karpíšek

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Evaluation of Salivary Biomarkers of Periodontal Disease Based on Smoking Status: A Systematic Review.International journal of environmental research and public health · 2022
    Pooled it
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  18. A REVIEW OF SALIVARY BIOMARKERS OF PERIODONTAL DISEASE.Annals of Ibadan postgraduate medicine · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Nagihan BostanciSection of Periodontology and Dental Prevention, Division of Oral Diseases, Department of Dental Medicine, Karolinska Institutet, Alfred Nobels Allé 8, 14104, Huddinge, Stockholm, Sweden. nagihan.bostanci@ki.se.
Konstantinos MitsakakisHahn-Schickard, Georges-Koehler-Allee 103, 79110, Freiburg, Germany.
Beral AfacanDepartment of Periodontology, School of Dentistry, Aydin University, Hasan Efendi mah. Hastane cad. No:1 Efeler/Aydın, 09100, Istanbul, Turkey.
Kai BaoSection of Periodontology and Dental Prevention, Division of Oral Diseases, Department of Dental Medicine, Karolinska Institutet, Alfred Nobels Allé 8, 14104, Huddinge, Stockholm, Sweden.
Benita JohannsenHahn-Schickard, Georges-Koehler-Allee 103, 79110, Freiburg, Germany.
Desirée BaumgartnerHahn-Schickard, Georges-Koehler-Allee 103, 79110, Freiburg, Germany.
Lara MüllerHahn-Schickard, Georges-Koehler-Allee 103, 79110, Freiburg, Germany.
Hana KotolováFaculty of Pharmacy, Masaryk University, Palackeho trida 1946/1, 61242, Brno, Czech Republic.
Gülnur EmingilDepartment of Periodontology, School of Dentistry, Ege University, 35100, Bornova, İzmir, Turkey.
Michal KarpíšekFaculty of Pharmacy, Masaryk University, Palackeho trida 1946/1, 61242, Brno, Czech Republic. karpisek@biovendor.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral health is important not only due to the diseases emerging in the oral cavity but also due to the direct relation to systemic health. Thus, early and accurate characterization of the oral health status is of utmost importance. There are several salivary biomarkers as candidates for gingivitis and periodontitis, which are major oral health threats, affecting the gums. These need to be verified and validated for their potential use as differentiators of health, gingivitis and periodontitis status, before they are translated to chair-side for diagnostics and personalized monitoring. We aimed to measure 10 candidates using high sensitivity ELISAs in a well-controlled cohort of 127 individuals from three groups: periodontitis (60), gingivitis (31) and healthy (36). The statistical approaches included univariate statistical tests, receiver operating characteristic curves (ROC) with the corresponding Area Under the Curve (AUC) and Classification and Regression Tree (CART) analysis. The main outcomes were that the combination of multiple biomarker assays, rather than the use of single ones, can offer a predictive accuracy of > 90% for gingivitis versus health groups; and 100% for periodontitis versus health and periodontitis versus gingivitis groups. Furthermore, ratios of biomarkers MMP-8, MMP-9 and TIMP-1 were also proven to be powerful differentiating values compared to the single biomarkers.

Indexed as

Oral HealthAdultArea Under CurveBiomarkersCase-Control StudiesCohort StudiesCross-Sectional StudiesEnzyme-Linked Immunosorbent AssayFemaleGingivitisHumansMaleMatrix Metalloproteinase 8Matrix Metalloproteinase 9Middle AgedPeriodontitisBiomarkersMatrix Metalloproteinase 8Matrix Metalloproteinase 9MMP8 protein, humanMMP9 protein, humanTIMP1 protein, humanTissue Inhibitor of Metalloproteinase-1

Identifiers

PMID33742017
PMCPMC7979790

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.