The DOI matches its Crossref record; 212 of the 212 references it cites were found in a registry or an index.
T he D iagnostic A pplications of S aliva — A R eview
Abstract
This review examines the diagnostic application of saliva for systemic diseases. As a diagnostic fluid, saliva offers distinctive advantages over serum because it can be collected non-invasively by individuals with modest training. Furthermore, saliva may provide a cost-effective approach for the screening of large populations. Gland-specific saliva can be used for diagnosis of pathology specific to one of the major salivary glands. Whole saliva, however, is most frequently used for diagnosis of systemic diseases, since it is readily collected and contains serum constituents. These constituents are derived from the local vasculature of the salivary glands and also reach the oral cavity via the flow of gingival fluid. Analysis of saliva may be useful for the diagnosis of hereditary disorders, autoimmune diseases, malignant and infectious diseases, and endocrine disorders, as well as in the assessment of therapeutic levels of drugs and the monitoring of illicit drug use.
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“Saliva analysis can also provide a cost-effective approach for screening large populations 153.”
From Glucose biosensors in clinical practice: principles, limits and perspectives of currently used devices (2022) · cites this paper as [153]
In the citing paper
“Saliva is a complex oral fluid, which is produced mainly by the parotid gland and is composed of numerous constituents, such as metabolites, enzymes, hormones, proteins, microorganisms and ions125,135-140.”
From Wearable biosensors for healthcare monitoring (2019) · cites this paper as [136]
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Metadata
- Authors
- Kaufman, E., & Lamster, I. B.
- Affiliations
- Columbia University (US)
- ORCID
- Lamster, Ira B.
- Venue
- Critical Reviews in Oral Biology & Medicine
- Publisher
- SAGE Publications
- Published
- 2002-03
- Volume
- 13
- Issue
- 2
- Pages
- 197-212
- ISSN
- 1045-4411 (ISSN-L)
- 1544-1113
- OpenAlex
- W2084107384
- Cited by
- 887
- References
- 212
- Citations by year
- 2026: 39 · 2025: 32 · 2024: 52 · 2023: 61 · 2022: 39 · 2021: 40 · 2020: 47 · 2019: 43 · 2018: 34 · 2017: 36 · 2016: 38 · 2015: 56 · 2014: 57 · 2013: 52 · 2012: 55
- FWCI
- 0.98
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Critical Reviews in Oral Biology & Medicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Salivary Gland Disorders and Functions
- Health Sciences › Health Professions › Medical Laboratory Technology › Clinical Laboratory Practices and Quality Control
- Health Sciences › Dentistry › General Dentistry › HIV/AIDS oral health manifestations
- Keywords
- saliva diagnostics, whole saliva, non-invasive biomarkers, systemic disease diagnosis, salivary gland pathology, autoimmune disease, genetic disorders, cancer, infectious diseases, endocrine disorders, therapeutic drug monitoring, mass screening
- MeSH terms
- Animals, Autoimmune Diseases, Communicable Diseases, Hormones, Humans, Mouth Diseases, Saliva, Biomarkers, Drug Monitoring, Clinical Chemistry Tests, Genetic Diseases, Inborn
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 ›
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