Evidence map›Paper›PMID 26848071›Full record

ArticleJournal of dental research2016

Predicting Periodontitis at State and Local Levels in the United States.

P I Eke, X Zhang, H Lu, L Wei, G Thornton-Evans, K J Greenlund, J B Holt, J B Croft

Abstract read
In one paragraph

Article in Journal of dental research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
13.9field-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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 103 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. The Effect of Melatonin on Periodontitis.International journal of molecular sciences · 2021
    Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. PLACES: Local Data for Better Health.Preventing chronic disease · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Using Multilevel Regression and Poststratification to Estimate Physical Activity Levels from Health Surveys.International journal of environmental research and public health · 2021
    Article
  19. Article
  20. 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

8 authors at 1 institution in 1 country.

P I EkeDivision of Population Health, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA peke@cdc.gov.
X ZhangDivision of Population Health, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.
H LuDivision of Population Health, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.
L WeiDB Consulting Group, Inc., Atlanta, GA, USA.
G Thornton-EvansDivision of Oral Health, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.
K J GreenlundDivision of Population Health, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.
J B HoltDivision of Population Health, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.
J B CroftDivision of Population Health, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.
Centers for Disease Control and Prevention · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

The objective of the study was to estimate the prevalence of periodontitis at state and local levels across the United States by using a novel, small area estimation (SAE) method. Extended multilevel regression and poststratification analyses were used to estimate the prevalence of periodontitis among adults aged 30 to 79 y at state, county, congressional district, and census tract levels by using periodontal data from the National Health and Nutrition Examination Survey (NHANES) 2009-2012, population counts from the 2010 US census, and smoking status estimates from the Behavioral Risk Factor Surveillance System in 2012. The SAE method used age, race, gender, smoking, and poverty variables to estimate the prevalence of periodontitis as defined by the Centers for Disease Control and Prevention/American Academy of Periodontology case definitions at the census block levels and aggregated to larger administrative and geographic areas of interest. Model-based SAEs were validated against national estimates directly from NHANES 2009-2012. Estimated prevalence of periodontitis ranged from 37.7% in Utah to 52.8% in New Mexico among the states (mean, 45.1%; median, 44.9%) and from 33.7% to 68% among counties (mean, 46.6%; median, 45.9%). Severe periodontitis ranged from 7.27% in New Hampshire to 10.26% in Louisiana among the states (mean, 8.9%; median, 8.8%) and from 5.2% to 17.9% among counties (mean, 9.2%; median, 8.8%). Overall, the predicted prevalence of periodontitis was highest for southeastern and southwestern states and for geographic areas in the Southeast along the Mississippi Delta, as well as along the US and Mexico border. Aggregated model-based SAEs were consistent with national prevalence estimates from NHANES 2009-2012. This study is the first-ever estimation of periodontitis prevalence at state and local levels in the United States, and this modeling approach complements public health surveillance efforts to identify areas with a high burden of periodontitis.

Indexed as

AdultAgedAge FactorsAlgorithmsBehavioral Risk Factor Surveillance SystemBlack or African AmericanCensusesEthnicityFemaleForecastingHispanic or LatinoHumansMaleMiddle AgedNutrition SurveysPeriodontitisdental health surveysepidemiologyoral healthpopulation surveillancesmall area estimationUS population

Identifiers

PMID26848071
PMCPMC6092742
OpenAlexW2275143806

What OpenQuestion holds

Textmetadata
LicenceTDM
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.