Evidence map›Paper›PMID 40964697›Full record

ArticleGerodontology2026

Measuring Dry Mouth in Older People in Residential Care.

Farah Zahiah Ahmad Zainuddin, Guangzhao Guan, Graeme S Ting, William Murray Thomson

Abstract read
In one paragraph

Article in Gerodontology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

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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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Farah Zahiah Ahmad ZainuddinDepartment of Oral Diagnostic and Surgical Sciences, Faculty of Dentistry, University of Otago, Dunedin, New Zealand.
Guangzhao GuanDepartment of Oral Diagnostic and Surgical Sciences, Faculty of Dentistry, University of Otago, Dunedin, New Zealand.ORCID https://orcid.org/0000-0001-7265-9865
Graeme S TingNew Zealand Dental Association, Auckland, New Zealand.
William Murray ThomsonDepartment of Oral Sciences, Faculty of Dentistry, University of Otago, Dunedin, New Zealand.ORCID https://orcid.org/0000-0003-0588-6843

Funding

New Zealand Dental Association RF8.19 2020
6 · The paper itself

Abstract

aimsTo investigate and describe the concordance between salivary flow rates and xerostomia among older dependent adults, describe the association between medication use and dry mouth, and describe the impact of dry mouth on oral health-related quality of life (OHRQoL).

methodsA clinical examination survey was conducted with 50 older adults residing in residential care facilities in Dunedin, New Zealand. Xerostomia was measured using the five-item Summated Xerostomia Inventory-Dutch Version (SXI-D), and the unstimulated salivary flow rate was also measured. The clinical manifestations of oral dryness were evaluated using the Clinical Oral Dryness Scoring (CODS) scale. Medications were recorded.

resultsParticipants ranged in age from 65 to 99 years (mean 83.0, SD 9.1). The prevalence of xerostomia was 34.8%, while salivary gland hypofunction (SGH) was present in 26.1%. Only 13.0% of participants had both conditions, and 52.2% had neither. A weak negative correlation was observed between the SXI-D score and salivary flow rate (r = -0.20), while a moderate positive correlation was found between the SXI-D and the CODS scale (r = 0.55). Additionally, the CODS scale showed a moderate negative correlation with the salivary flow rate (r = -0.47).

conclusionDry mouth is common among older adults in residential care, but the relationship between its signs and symptoms is complex. Salivary hypofunction data alone do not fully capture the experience of oral dryness, emphasising the need for a more comprehensive approach to diagnosis and treatment.

Indexed as

XerostomiaAgedAged, 80 and overFemaleHomes for the AgedHumansMaleNew ZealandOral HealthPrevalenceQuality of LifeResidential FacilitiesSalivaSecretory Ratedry moutholder peopleresidential care homessalivary gland hypofunctionxerostomia

Identifiers

PMID40964697
PMCPMC12872980

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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.