Evidence map›Paper›PMID 29696638›Full record

ArticleInternational dental journal2018

A simple self-report health assessment questionnaire to identify oral diseases.

Noreen Myers-Wright, Bin Cheng, Sima N Tafreshi, Ira B Lamster

Open access · greenAbstract readValidation Study
In one paragraph

Article in International dental journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  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

4 authors at 3 institutions in 1 country.

Noreen Myers-WrightDepartment of Health Policy & Management, Mailman School of Public Health, Columbia University, New York, NY, USA.
Bin ChengDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA.
Sima N TafreshiNorth Shore Manhasset Dental Clinic, Northwell Health System, Great Neck, NY, USA.
Ira B LamsterSchool of Dental Medicine, Stony Brook University, Stony Brook, NY, USA.
Columbia University · USNorthwell Health · USStony Brook School · US

Funding

Johnson & Johnson
6 · The paper itself

Abstract

backgroundOne approach to addressing oral health disparities for at-risk populations has been to increase discussion of oral health by non-dental healthcare providers. This study examined the accuracy of a simple instrument to detect individuals with a history of dental disease, which would then allow referral for an oral health evaluation. MATERIALS AND

methodsA two-question instrument was evaluated for the relationship to oral diseases, periodontal disease, and decayed, missing and filled teeth in 391 individuals seen in a dental school clinic for non-emergent dental care over a 3-month period. Clinical dental findings were used as outcome variables. The oral health parameters were dichotomised, using different levels of disease severity. The criteria were increased and decreased in an effort to test the robustness of our method.

resultsWhile the sensitivity outcomes with one question alone showed significant ability to predict oral disease (59-71%), the addition of a second self-assessment question increased the sensitivity (76-91%) for all oral health parameters studied. As the criteria for oral disease increased so did the sensitivity of this instrument.

conclusionThe results presented here offer evidence that a simple two-item questionnaire is an efficient and effective method of detecting populations at-risk for oral diseases.

Indexed as

Dental Health SurveysDiagnostic Self EvaluationOral HealthSelf ReportAdultAgedAged, 80 and overDMF IndexFemaleHealth Status DisparitiesHumansMaleMiddle AgedMouth DiseasesNew York CityOral Hygienehealthcare providershealth personneloral diseaseprimary healthcareSelf-assessment survey

Identifiers

PMID29696638
PMCPMC9379000
OpenAlexW2800680178

What OpenQuestion holds

Textmetadata
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.