Evidence map›Paper›PMID 36943673›Full record

SynthesisDrugs & aging2023

From Drugs to Dry Mouth: A Systematic Review Exploring Oral and Psychological Health Conditions Associated with Dry Mouth in Older Adults with Polypharmacy.

India Cannon, Anna Robinson-Barella, Gillian McLellan, Sheena E Ramsay

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Drugs & aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 5 pooled it
4.9field-weighted citation impact, top 4% of its field
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

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.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 5 syntheses or guidelines pooled it, 28 citations in OpenAlex.

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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 at 1 institution in 1 country.

India CannonSchool of Pharmacy, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK. india.cannon@nhs.net.ORCID http://orcid.org/0000-0001-8866-8133
Anna Robinson-BarellaSchool of Pharmacy, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.ORCID http://orcid.org/0000-0002-9523-4760
Gillian McLellanPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.ORCID http://orcid.org/0000-0002-1676-4916
Sheena E RamsayPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.ORCID http://orcid.org/0000-0002-0391-9704
Newcastle University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApproximately 60% of older adults complain of dry mouth, which may be associated with polypharmacy, common in this population. Existing studies have reported treatment approaches to dry mouth but do not address long-term preventative measures that would more positively benefit the health and well-being of older adults.

objectiveWe aimed to explore the consequences of dry mouth, associated with polypharmacy, on the physical and psychological health of older adults in order to establish the importance of preventing dry mouth.

methodsThis systematic review was conducted of studies reporting health conditions of dry mouth, in relation to polypharmacy in older adults (aged ≥ 65 years). MEDLINE, EMBASE, PsycINFO and CINAHL databases were searched using keywords such as 'polypharmacy', 'dry mouth', 'oral health' and 'quality of life' (PROSPERO: CRD42021288945). Joanna Briggs Institute critical appraisal tools were used to assess study quality.

resultsOf the 6852 citations screened, nine studies (cross-sectional, n = 8; longitudinal, n = 1) were included that comprised 37,459 participants (mean age range 68.5-85.0 years). Studies were published between 2005 and 2019. Because of the heterogeneity of reported study outcomes, a narrative synthesis was undertaken. The health conditions identified in this review were categorised as 'physical' or 'psychological'. The main physical health conditions reported in the studies related to dental health, such as tooth loss, and functional impairments, such as swallowing difficulties. An increase in the number of medicines taken, from 0 to 5, decreased the number of natural teeth remaining from 16 (standard deviation [SD] ± 9) to 12 (SD ± 8), respectively. Additionally, the number of dental complications increased from 1 (SD ± 2) to 2 (SD ± 2) as the number of medicines increased from 1 to ≥ 3. There was a paucity of studies (n = 2) that investigated psychological health conditions of dry mouth among older adults, with depression identified as a significant issue among older adults with dry mouth (where the reported prevalence was as high as 64%). An additional six psychological health conditions were identified: self-consciousness, feeling tense, difficulty relaxing, irritability, difficulty completing tasks and feeling less satisfied in life.

conclusionsHigh levels of physical health conditions of dry mouth are observed in older adults and, to a lesser extent, psychological health conditions. These conditions can negatively affect quality of life. There remains a need to prevent dry mouth and the adverse health conditions associated with it in older adults. The modifiable nature of polypharmacy could be targeted to minimise, and potentially prevent, dry mouth. The optimisation of medication regimes to effectively treat chronic conditions, but also limit the likelihood of dry mouth, is a practical approach. Dry mouth prevention should be a priority and polypharmacy can pave the way for prevention strategies, avoiding the need to treat dry mouth.

Indexed as

Mental DisordersXerostomiaAgedAged, 80 and overCross-Sectional StudiesHumansPolypharmacy

Identifiers

PMID36943673
OpenAlexW4328049531

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.