Evidence map›Paper›PMID 39500813›Full record

ArticleEuropean geriatric medicine2025

Association of oral frailty with falls in long-term care residents.

Taija Puranen, Kaija Hiltunen, Kaisu H Pitkälä, Hanna-Maria Roitto, Päivi Mäntylä, Riitta K T Saarela

Abstract read
In one paragraph

Article in European geriatric medicine, 2025. 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

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

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

6 authors.

Taija PuranenDepartment of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-4844-1660
Kaija HiltunenDepartment of Oral and Maxillofacial Diseases, University of Helsinki, Helsinki, Finland. kaija.hiltunen@helsinki.fi.ORCID 0000-0002-3307-6605
Kaisu H PitkäläDepartment of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-9659-6985
Hanna-Maria RoittoDepartment of Geriatrics, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.ORCID 0000-0002-5466-2873
Päivi MäntyläInstitute of Dentistry, University of Eastern Finland, Kuopio, Finland.ORCID 0000-0003-2091-972X
Riitta K T SaarelaDepartment of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-1850-1757

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe investigated the relationship between oral frailty (OFr) and falls among long-term care residents.

methodsResidents (N = 254, mean age 84 y, 79% women) participated in this longitudinal cohort study in 2018-2021. OFr was defined by six signs. Demographics, diagnoses, and medications were retrieved from the medical records. Frailty phenotype, sarcopenia and disability were assessed. Number of falls was collected from medical records over 12 months following baseline assessment.

resultsOf participants, 35% fell during follow-up. Of the fallers, 28% were bedridden or needed a wheelchair; among non-fallers, this figure was 73%. In logistic regression analysis after adjusting for age, sex, BMI, stroke, dementia, diabetes, coronary heart disease, number of medications, mobility, walking speed and sarcopenia, OFr did not predict falls (OR for severe OFr 0.13 (95% CI 0.01-1.27). Male sex predicted falls.

conclusionsNo association was found between severe OFr and falls over a 12-month follow-up.

Indexed as

Accidental FallsFrail ElderlyFrailtyLong-Term CareAgedAged, 80 and overFemaleGeriatric AssessmentHumansLongitudinal StudiesMaleNursing HomesRisk FactorsSarcopeniaFallsFrailtyLong-term careOral frailty

Identifiers

PMID39500813
PMCPMC11850447

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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.