Evidence map›Paper›PMID 36293822›Full record

ArticleInternational journal of environmental research and public health2022

Model to Predict Oral Frailty Based on a Questionnaire: A Cross-Sectional Study.

Tatsuo Yamamoto, Tomoki Tanaka, Hirohiko Hirano, Yuki Mochida, Katsuya Iijima

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 6 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

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

16 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

5 authors.

Tatsuo YamamotoDepartment of Dental Sociology, Kanagawa Dental University, Yokosuka 238-8580, Japan.ORCID 0000-0001-5147-3711
Tomoki TanakaInstitute of Gerontology, The University of Tokyo, Bunkyo-ku, Tokyo 113-8656, Japan.
Hirohiko HiranoTokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Itabashi-ku, Tokyo 173-0015, Japan.
Yuki MochidaDepartment of Dental Sociology, Kanagawa Dental University, Yokosuka 238-8580, Japan.
Katsuya IijimaInstitute of Gerontology, The University of Tokyo, Bunkyo-ku, Tokyo 113-8656, Japan.

Funding

Japan Society for the Promotion of Science 21H03153
6 · The paper itself

Abstract

A statistical model to predict oral frailty based on information obtained from questionnaires might help to estimate its prevalence and clarify its determinants. In this study, we aimed to develop and validate a predictive model to assess oral frailty thorough a secondary data analysis of a previous cross-sectional study on oral frailty conducted on 843 patients aged ≥ 65 years. The data were split into training and testing sets (a 70/30 split) using random sampling. The training set was used to develop a multivariate stepwise logistic regression model. The model was evaluated on the testing set and its performance was assessed using a receiver operating characteristic (ROC) curve. The final model in the training set consisted of age, number of teeth present, difficulty eating tough foods compared with six months ago, and recent history of choking on tea or soup. The model showed good accuracy in the testing set, with an area of 0.860 (95% confidence interval: 0.806-0.915) under the ROC curve. These results suggested that the prediction model was useful in estimating the prevalence of oral frailty and identifying the associated factors.

Indexed as

FrailtyAgedCross-Sectional StudiesFrail ElderlyGeriatric AssessmentHumansInfantSurveys and QuestionnairesTeaTeacross-sectional studyolder peopleoral frailtyprediction modelquestionnairereceiver operating characteristic curve

Identifiers

PMID36293822
PMCPMC9603718

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.