Evidence map›Paper›PMID 39272094›Full record

ArticleBMC oral health2024

The current status and influencing factors of oral frailty in elderly maintenance hemodialysis patients based on the Andersen Oral Health Outcome Model.

Meiqian Chen, Mingqian He, Qingxin Gu, Xinru Gao, Guanzhen Lu

Abstract read
In one paragraph

Article in BMC oral health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

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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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

5 authors.

Meiqian Chen *Department of Scientific Research, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Zhejiang, China.
Mingqian He *Department of Scientific Research, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Zhejiang, China.
Qingxin GuDepartment of Scientific Research, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Zhejiang, China.
Xinru GaoDepartment of Scientific Research, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Zhejiang, China.
Guanzhen LuDepartment of Scientific Research, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Zhejiang, China. luguanzhen66@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo analyse the elements that influence oral frailty in elderly maintenance hemodialysis patients and to comprehend the present state of this condition.

methodsA survey of 325 elderly maintenance hemodialysis patients from three hospitals in Huzhou City was conducted using a general information questionnaire, the Oral Health Assessment Tool, the Knowledge, Attitude, and Practice of Oral Health Questionnaire, the Social Frailty, the Frail Scale, and the Oral Frailty Index.

resultsIn elderly maintenance hemodialysis patients, the prevalence of oral frailty was 45.2%. Factors influencing it include the Oral Health Knowledge Score (OR = 0.84, 95% CI 0.72-0.98), Oral Health Behavior Score (OR = 0.95, 95% CI 0.92-0.98), insufficient dialysis (OR = 0.30, 95% CI 0.14-0.63), social frailty (OR = 3.72, 95% CI 1.57-8.83), physical frailty (OR = 3.12, 95% CI 1.55-6.30), number of missing teeth (OR = 1.09, 95% CI 1.03-1.15), swallowing abnormalities (OR = 2.84, 95% CI 1.26-6.38), and oral health scores (OR = 1.34, 95% CI 1.14-1.57) (P < 0.05).

conclusionPatients on elderly maintenance hemodialysis are more susceptible to oral frailty. Nursing staff should develop scientifically sound, effective, and targeted oral management strategies for these patients.

Indexed as

Oral HealthRenal DialysisAgedAged, 80 and overChinaFemaleFrail ElderlyFrailtyHealth Knowledge, Attitudes, PracticeHumansMalePrevalenceSurveys and QuestionnairesTooth LossElderlyMaintenance hemodialysisOral frailtyRisk factor

Identifiers

PMID39272094
PMCPMC11401281

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LicenceCC BY-NC-ND
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Registered trials

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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.