Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 388

The DOI matches its Crossref record.

Analysis of saliva for periodontal diagnosis: A review

Kaufman, Eliaz, Lamster, Ira B.·2000·Journal of Clinical Periodontology

Abstract

Background: This review examines salivary constituents as potential diagnostic tests for periodontal disease. Saliva is a fluid that is readily available and contains locally‐produced microbial and host response mediators, as well as systemic (serum) markers that may prove to be an aid in the diagnosis of periodontal disease. Methods: A medline search was conducted and the relevant literature concerning the applications of saliva for periodontal diagnosis was reviewed. Results: Based on the literature, salivary markers that have been studied as potential diagnostic tests for periodontal disease include proteins of host origin (i.e., enzymes, immunoglobulins), phenotypic markers, host cells, hormones (cortisol), bacteria and bacterial products, ions and volatile compounds. Conclusions: A number of markers show promise as sensitive measures of disease and the effectiveness of therapy. At this time, host‐derived enzymes and other inflammatory mediators orginating from the gingival crevice appear to hold the greatest promise as salivary diagnostic tests for periodontal disease. Longer‐term longitudinal studies, however, are required to establish the relationship between specific markers and progression of periodontal disease. Furthermore, analysis of saliva may offer a cost‐effective approach to assessment of periodontal disease in large populations.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1034/j.1600-051x.2000.027007453.x

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 388

Metadata

Authors
Kaufman, E., & Lamster, I. B.
Venue
Journal of Clinical Periodontology
Publisher
Wiley
Published
2000-07
Volume
27
Issue
7
Pages
453-465
ISSN
  • 0303-6979 (ISSN-L)
  • 1600-051X
OpenAlex
W1810878070
Cited by
388
References
0
FWCI
8.45
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Analysis of saliva for periodontal diagnosis: A review. https://app.cochat.ai/papers/10.1034/j.1600-051x.2000.027007453.x
The paper
Kaufman, E., & Lamster, I. B. (2000). Analysis of saliva for periodontal diagnosis: A review. Journal of Clinical Periodontology. https://doi.org/10.1034/j.1600-051x.2000.027007453.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.