Evidence map›Paper›PMID 37731807›Full record

ArticleInternational journal of clinical pediatric dentistry

Effectiveness of Audiovisual Distraction Technique and Filmed Modeling on Anxiety and Fear in Pediatric Dental Patients.

Faiza Jamil, Saima Y Khan, Mahendra K Jindal

Abstract read
In one paragraph

Article in International journal of clinical pediatric dentistry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

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

3 authors.

Faiza JamilDepartment of Pediatric and Preventive Dentistry, Dr. Ziauddin Ahmad Dental College, Aligarh Muslim University, Uttar Pradesh, India.
Saima Y KhanDepartment of Pediatric and Preventive Dentistry, Dr. Ziauddin Ahmad Dental College, Aligarh Muslim University, Uttar Pradesh, India.
Mahendra K JindalDepartment of Pediatric and Preventive Dentistry, Dr. Ziauddin Ahmad Dental College, Aligarh Muslim University, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: To evaluate the effectiveness of the audiovisual distraction (AVD) technique and filmed modeling (FM) on anxiety and fear in pediatric dental patients. Materials and methods: This experimental Results: Group III (a combination of AVD and FM) came out to be better than other experimental groups and control groups in reducing dental anxiety and fear in pediatric dental patients. Conclusion: A combination of AVD and FM techniques can be recommended to be used as an effective behavior management technique. Clinical significance: A child's disruptive behavior due to dental anxiety causes difficulty in delivering effective dental treatment. Thus, a child's behavior management is of paramount importance in the pediatric dental setup. Nonpharmacological behavior management techniques, that is, a combination of AVD and FM techniques can be recommended to be used as an effective behavior management technique to reduce dental anxiety and fear in pediatric dental patients. How to cite this article: Jamil F, Khan SY, Jindal MK. Effectiveness of Audiovisual Distraction Technique and Filmed Modeling on Anxiety and Fear in Pediatric Dental Patients. Int J Clin Pediatr Dent 2023;16(4):598-602.

Indexed as

Anxiety assessment scalesAnxiety pediatric dentistryAudiovisual distraction techniqueDental anxiety assessmentFilmed modeling

Identifiers

PMID37731807
PMCPMC10507312

What OpenQuestion holds

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LicenceCC BY-NC
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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.