Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 328

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Clinical Criteria for the Diagnosis of Salivary Gland Hypofunction

Navazesh, M., Christensen, C., Brightman, V.·1992·Journal of Dental Research

Abstract

There is considerable difficulty in the making of initial clinical decisions as to whether a given patient has salivary gland hypofunction, and hence requires additional salivary gland evaluation. This study identified a set of four clinical measures that, together, successfully predicted the presence or absence of salivary gland hypofunction. The four measures were: dryness of lips, dryness of buccal mucosa, absence of saliva produced by gland palpation, and total DMFT; they were derived from discriminant analysis of data collected from 71 individuals with normal and low salivary flow rates. These measures are proposed as criteria for clinical decision-making, as well as for classification of patients in studies of salivary gland dysfunction syndromes. This study also identified unstimulated whole salivary flow rates of 0.12-0.16 mL/ min as the critical range separating individuals with salivary gland hypofunction from those with normal gland function.

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 · 10.1177/00220345920710070301

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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

Cites

Show all 1 references

Cited by

See all 328

Metadata

Authors
Navazesh, M., Christensen, C., & Brightman, V.
Venue
Journal of Dental Research
Published
1992-07
Volume
71
Issue
7
Pages
1363-1369
ISSN
  • 0022-0345 (ISSN-L)
  • 1544-0591
OpenAlex
W1978468215
Cited by
328
References
1
FWCI
1.42
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: Clinical Criteria for the Diagnosis of Salivary Gland Hypofunction. https://app.cochat.ai/papers/10.1177/00220345920710070301
The paper
Navazesh, M., Christensen, C., & Brightman, V. (1992). Clinical Criteria for the Diagnosis of Salivary Gland Hypofunction. Journal of Dental Research. https://doi.org/10.1177/00220345920710070301

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.