Evidence map›Paper›PMID 37661091›Full record

ArticleGeriatrics & gerontology international2023

Oral frailty five-item checklist to predict adverse health outcomes in community-dwelling older adults: A Kashiwa cohort study.

Tomoki Tanaka, Hirohiko Hirano, Kazunori Ikebe, Takayuki Ueda, Masanori Iwasaki, Maki Shirobe, Shunsuke Minakuchi, Masahiro Akishita, Hidenori Arai, Katsuya Iijima

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PubMed Full text at PMC Publisher
In one paragraph

Article in Geriatrics & gerontology international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 11 pooled it
16.8field-weighted citation impact, top 1% 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

63 citing papers in PubMed, 11 syntheses or guidelines pooled it, 94 citations in OpenAlex.

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3 more citing papers are in PubMed but not listed here.

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

10 authors at 7 institutions in 1 country.

Tomoki TanakaInstitute of Gerontology, The University of Tokyo, Tokyo, Japan.
Hirohiko HiranoTokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan.
Kazunori IkebeDepartment of Removable Prosthodontics and Gerodontology, Graduate School of Dentistry, Osaka University, Osaka, Japan.
Takayuki UedaDepartment of Removable Prosthodontics and Gerodontology, Tokyo Dental College, Tokyo, Japan.
Masanori IwasakiTokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan.ORCID https://orcid.org/0000-0002-5739-2936
Maki ShirobeTokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan.ORCID https://orcid.org/0000-0003-2478-8202
Shunsuke MinakuchiDepartment of Gerodontology and Oral Rehabilitation, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.
Masahiro AkishitaDepartment of Geriatric Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0001-5498-7224
Hidenori AraiNational Center for Geriatrics and Gerontology, Obu, Japan.ORCID https://orcid.org/0000-0002-9000-6849
Katsuya IijimaInstitute of Gerontology, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1339-5681
Tokyo Metropolitan Institute of Gerontology · JPHokkaido University · JPNational Center for Geriatrics and Gerontology · JPThe University of Osaka · JPThe University of Tokyo · JPTokyo Dental College · JPTokyo Medical and Dental University · JP

Funding

Japan Agency for Medical Research and Development JP21km0908001The Institute for Health Economics and PolicyThe Ministry of Health, Labor, and Welfare of Japan H24-Choju-Ippan-002
6 · The paper itself

Abstract

aimTo enable easy assessment of oral frailty; that is, an overlapping slight decline in multifaceted oral function, in any setting, we developed the oral frailty five-item checklist (OF-5), and examined its predictive validity for increased risks of physical frailty, physical disability and mortality among community-dwelling older adults.

methodsThis population-based cohort study randomly selected 2044 residents in Kashiwa, Japan, with no long-term care needs. Baseline data were collected in 2012, and follow-up data were collected in 2013, 2014, 2016, 2018 and 2021. The OF-5 includes five measures: fewer teeth, difficulty in chewing, difficulty in swallowing, dry mouth and low articulatory oral motor skills. Physical frailty was defined according to the Cardiovascular Health Study criteria. Physical disability and mortality determined from the long-term care insurance receipt database were followed for 9 years.

resultsOf 2031 eligible participants (mean age 73.1 ± 5.6 years; 51.1% women), 39.3% individuals with ≥2 OF-5 points had significantly increased prevalence and new-onset rate of physical frailty. After adjusting for potential confounders, oral frailty, defined as ≥2 OF-5 points, was associated with increased risks of physical disability (adjusted hazard ratio 1.40; 95% confidence interval 1.14-1.72) and mortality (adjusted hazard ratio 1.44; 95% confidence interval 1.11-1.87). The highest adjusted hazard ratios were observed in older adults with coexisting physical and oral frailty.

conclusionsThe OF-5 showed strong predictive validity for physical frailty, physical disability and mortality in Japanese older adults. This assessment tool can be implemented in various settings and foster comprehensive prevention through interprofessional collaboration. Geriatr Gerontol Int 2023; 23: 651-659.

Indexed as

ChecklistFrailtyAgedCohort StudiesFemaleHumansIndependent LivingMaleOutcome Assessment, Health Careassessmentfrailtylong-term caremortalityoral health

Identifiers

PMID37661091
PMCPMC11503571
OpenAlexW4384498072

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.