ArticleGerodontology2025
Clinically estimated signs of hyposalivation in older adult residents of long-term care.
Article in Gerodontology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Coronal and Root Caries in Older Adults: Associated Factors, Quality of Life Impact, and Treatment-A Scoping Review.Gerodontology · 2026Article
- Masticatory Function in Elderly Individuals Living in Long-Term Care Facilities in Brazil: Associations Between Objective and Subjective Measurements.Journal of oral rehabilitation · 2026Article
- Prevalence of oral health problems in a Norwegian older adult population: The HUNT Study.BMC oral health · 2025Article
- Clinically estimated signs of hyposalivation in older adult residents of long-term care.Gerodontology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo assess whether the estimation of clinical signs of hyposalivation is applicable in recognising long-term care facility (LTCF) residents with poor oral health, and which individual characteristics are important in that respect.
backgroundA common inconvenience among older adults, dry mouth, particularly hyposalivation, can cause many complications, such as greater susceptibility to root caries and oral infections, and it can lead to further deterioration of oral health. However, very little is known about the association of clinically assessed signs of hyposalivation with the oral health status of LTCF residents.
methodsThe study sample comprised 362 individuals (dentate n = 266, edentate n = 96) aged 65 or older. The examinations included a questionnaire and clinical oral examination. Participants were categorised into three groups based on clinically assessed oral dryness: normal salivation (n = 83, 22.9%), lower salivation (n = 182, 50.3%) and dry mouth (n = 97, 26.8%). The association between signs of dry mouth with aspects to oral health was evaluated and further tested with logistic regression analysis.
resultsThe signs of oral dryness were observed among females, those with dementia, and those with longer stays in the current facility. Root caries (odds ratio, OR 1.3) and diagnosis of periodontitis (OR 4.1), together with several individual periodontal parameters, as well as having less than ten occluding pairs of natural teeth (OR 3.5) were associated with dry mouth. Edentate participants showed an increased likelihood of having dry mouth with advancing age, and lesions on the lips were associated with dry mouth with OR 3.0.
conclusionClinical estimation of signs of oral dryness can be a useful adjunct in evaluating the oral health status of dentate LTCF residents. Poor oral health was a frequent finding, especially among dentate LTCF residents with signs of dry mouth.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.