Evidence map›Paper›PMID 41036888›Full record

ArticleBrazilian oral research2025

Predictive models of weakness among older adults: the contribution of oral health indicators.

Ana Lúcia Schaefer Ferreira de Mello, Mateus Cardoso Pereira, Daniela de Rossi Figueiredo, Eleonora D'Orsi, Marco Aurélio Peres, Karen Glazer Peres

Abstract read
In one paragraph

Article in Brazilian oral research, 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.

Ana Lúcia Schaefer Ferreira de MelloUniversidade Federal de Santa Catarina - UFSC, Graduate Program in Dentistry, Florianópolis, SC, Brazil.ORCID http://orcid.org/0000-0001-9591-7361
Mateus Cardoso PereiraUniversidade Federal de Santa Catarina - UFSC, Graduate Program in Dentistry, Florianópolis, SC, Brazil.ORCID http://orcid.org/0000-0002-9877-9408
Daniela de Rossi FigueiredoUniversidade do Sul de Santa Catarina, Palhoça, SC, Brazil.ORCID http://orcid.org/0000-0002-7817-2027
Eleonora D'OrsiUniversidade Federal de Santa Catarina - UFSC, Graduate Program in Public Health, Florianópolis, SC, Brazil.ORCID http://orcid.org/0000-0003-2027-1089
Marco Aurélio PeresNational Dental Research Institute of Singapore, Health Services and Systems Research Program, Duke-NUS Medical School, Singapore.ORCID http://orcid.org/0000-0002-8329-2808
Karen Glazer PeresNational Dental Research Institute of Singapore, Health Services and Systems Research Program, Duke-NUS Medical School, Singapore.ORCID http://orcid.org/0000-0002-1730-2123

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poor oral health can negatively impact overall health and quality of life. Understanding how oral health predicts weakness in older adults is critical, since weakness increases the risk of health outcomes. However, the predictive role of oral health indicators in weakness among older adults remains unclear. This study assessed the ability of oral health indicators to predict weakness using data from Brazil's EpiFloripa Aging cohort study. Predictive validity was evaluated in a sample of older adults participating in the cohort's second (n = 440) and third (n = 347) waves. Self-reported sociodemographic, general health, and oral health variables were analyzed, with weakness diagnosed using cut-off points for handgrip strength. Predictive models incorporating sociodemographic, general health, and oral health variables were tested. Receiver operating characteristic curves, sensitivity and specificity, and positive and negative predictive values were calculated. Approximately 45.9% of the participants had two to three compromised oral health indicators during the second wave, and the five-year incidence of weakness was 31.9%. Oral health indicators and the oral frailty score did not enhance the prediction of weakness compared to models based solely on demographic, socioeconomic, and general health variables. However, models including oral health indicators demonstrated predictive accuracy comparable to those with demographic, socioeconomic, and general health variables. Sensitivity values were low (3.70-6.48%), while specificity values were high (>99%), with accuracy ranging from 0.64 to 0.71. These findings suggest that oral health indicators offer comparable predictive validity for weakness as sociodemographic and general health models, potentially serving as useful tools for health teams in screening older adults for weakness.

Indexed as

Geriatric AssessmentHealth Status IndicatorsMuscle WeaknessOral HealthAgedAged, 80 and overBrazilCohort StudiesFemaleFrailtyHand StrengthHumansMaleMiddle AgedPredictive Value of TestsQuality of Life

Identifiers

PMID41036888
PMCPMC12487666

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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.