Evidence map›Paper›PMID 35945823›Full record

ArticleJDR clinical and translational research2023

Prediction Model Development and Validation of 12-Year Incident Edentulism of Older Adults in the United States.

J S Preisser, K Moss, T L Finlayson, J A Jones, J A Weintraub

Open access · hybridAbstract read
In one paragraph

Article in JDR clinical and translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Geroscience: Aging and Oral Health Research.Advances in dental research · 2023
    Review
  6. 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 at 3 institutions in 1 country.

J S PreisserBiostatistics, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA.ORCID 0000-0002-7869-2057
K MossDivision of Comprehensive Oral Health University of North Carolina at Chapel Hill, Adams School of Dentistry, Chapel Hill, NC, USA.
T L FinlaysonHealth Management and Policy, San Diego State University School of Public Health, San Diego, CA, USA.
J A JonesUniversity of Detroit Mercy, Detroit, MI, USA.ORCID 0000-0002-0126-0790
J A WeintraubDivision of Pediatric and Public Health, University of North Carolina at Chapel Hill, Adams School of Dentistry, Chapel Hill, NC, USA.ORCID 0000-0001-7178-2028
University of North Carolina at Chapel Hill · USSan Diego State University · USUniversity of Detroit Mercy · US

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Multilevel analyses of oral health conditions among older adults in the All of Us Research ProgramR03DE030161 · NIDCR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WEINTRAUB, JANE A · 2021 to 2022
$456k
NIA NIH HHS U01 AG009740NIDCR NIH HHS R03 DE030161
6 · The paper itself

Abstract

introductionEdentulism affects health and quality of life.

objectivesIdentify factors that predict older adults becoming edentulous over 12 y in the US Health and Retirement Study (HRS) by developing and validating a prediction model.

methodsThe HRS includes data on a representative sample of US adults aged >50 y. Selection criteria included participants in 2006 and 2018 who answered, "Have you lost all of your upper and lower natural permanent teeth?" Persons who answered "no" in 2006 and "yes" in 2018 experienced incident edentulism. Excluding 2006 edentulous, the data set (

resultsFrom 2006 to 2018, 9.7% of older adults became edentulous. The 2006 mean (SD) age was 66.7 (8.7) for newly edentulous and 66.3 (8.4) for dentate (

conclusionCognition information improved the 12-y prediction of becoming edentulous beyond the modifiable risk factors of smoking and dental care use, as well as nonmodifiable demographic factors. KNOWLEDGE TRANSFER STATEMENT: This prediction modeling and validation study identifies cognition as well as modifiable (dental care use, smoking) and nonmodifiable factors (race, ethnicity, gender, age, education) associated with incident complete tooth loss in the United States. This information is useful for the public, dental care providers, and health policy makers in improving approaches to preventive care, oral and general health, and quality of life for older adults.

Indexed as

Mouth, EdentulousQuality of LifeAgedHumansIncomeRetirementRisk FactorsUnited Statesagedepidemiologygeriatricsincidenceoral healthtooth loss

Identifiers

PMID35945823
PMCPMC10504805
OpenAlexW4292470383

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.