Evidence map›Paper›PMID 26491721›Full record

ArticleTheScientificWorldJournal2015

Determining Cut-Off Points for the Dental Fear Survey.

Maurício Antônio Oliveira, Cristiane Baccin Bendo, Saul Martins Paiva, Miriam Pimenta Vale, Júnia Maria Serra-Negra

Abstract read
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Article in TheScientificWorldJournal, 2015. 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
–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

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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

6 citing papers in PubMed.

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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.

Maurício Antônio OliveiraDepartment of Pediatric Dentistry and Orthodontics, School of Dentistry, Universidade Federal de Minas Gerais, Avenida Presidente Antônio Carlos 6627, 31270-901 Belo Horizonte, MG, Brazil.
Cristiane Baccin BendoDepartment of Pediatric Dentistry and Orthodontics, School of Dentistry, Universidade Federal de Minas Gerais, Avenida Presidente Antônio Carlos 6627, 31270-901 Belo Horizonte, MG, Brazil.
Saul Martins PaivaDepartment of Pediatric Dentistry and Orthodontics, School of Dentistry, Universidade Federal de Minas Gerais, Avenida Presidente Antônio Carlos 6627, 31270-901 Belo Horizonte, MG, Brazil.
Miriam Pimenta ValeDepartment of Pediatric Dentistry and Orthodontics, School of Dentistry, Universidade Federal de Minas Gerais, Avenida Presidente Antônio Carlos 6627, 31270-901 Belo Horizonte, MG, Brazil.
Júnia Maria Serra-NegraDepartment of Pediatric Dentistry and Orthodontics, School of Dentistry, Universidade Federal de Minas Gerais, Avenida Presidente Antônio Carlos 6627, 31270-901 Belo Horizonte, MG, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine a high fear cut-off point score for the Dental Fear Survey (DFS) using a single-item self-report questionnaire.

methodsThe DFS, a 20-item questionnaire assessing fear of dental treatment, was completed by 1,256 participants with a mean age of 22.3 years (SD = 5.1). Another self-report questionnaire was used to collect data on previous dental experiences. A high fear cut-off point score was determined by calculating the receiver operating characteristic (ROC) curve for the DFS. Descriptive statistics and multinomial logistic regression were calculated; a significance level of p < 0.05 was used for all tests.

resultsThe ROC curve indicated that a DFS score ≥ 53 corresponds to a sensitivity of 88.9% and a specificity of 92.5%. Most participants (n = 895; 71.5%) reported no fear of going to the dentist. There was significant association between DFS score and fear assessed with the question "Are you fearful of going to the dentist?" (p < 0.001).

conclusionA cut-off point of 53 on the DFS total score represents the best compromise between sensitivity and specificity and can be used to predict high dental fear.

Indexed as

Dental Health SurveysFearAdolescentAdultAgedDental AnxietyFemaleHumansLogistic ModelsMaleMiddle AgedModels, TheoreticalROC CurveSensitivity and SpecificityYoung Adult

Identifiers

PMID26491721
PMCPMC4602336

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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.