Evidence map›Paper›PMID 41522938›Full record

ArticleJournal of pharmacy & bioallied sciences2025

Comparative Evaluation of Behavioral Management Techniques in Reducing Dental Anxiety Among Children Aged 4-8 Years: A Randomized Clinical Trial.

Chintu Sundaresan, Teena Haneef, V R Anusha, P K Nabeeh, Faisal M A Gaffoor

Abstract read
In one paragraph

Article in Journal of pharmacy & bioallied sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. 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.

Chintu SundaresanDepartment of Pedodontics and Preventive Dentistry, Sree Mookambika Institute of Dental Sciences, Kulasekharam, Kanyakumari, Tamil Nadu, India.
Teena HaneefDepartment of Pedodontics and Preventive Dentistry, PMS College of Dental Science and Research, Vattapara, Trivandrum, Kerala, India.
V R AnushaDepartment of Pedodontics and Preventive Dentistry, Sree Mookambika Institute of Dental Sciences, Kulasekharam, Kanyakumari, Tamil Nadu, India.
P K NabeehDepartment of Pedodontics and Preventive Dentistry, Malabar Dental College and Research Centre, Manoor, Edappal, Kerala, India.
Faisal M A GaffoorDepartment of Conservative Dentistry and Endodontics, Noorul Islam College of Dental Sciences, Aralummoodu, Neyyatinkara, Trivandrum, Kerala, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dental anxiety is a prevalent concern in pediatric patients, often leading to compromised oral healthcare outcomes. Effective behavioral management techniques are essential in reducing anxiety and facilitating successful dental treatments. Materials and Methods: A randomized clinical trial was conducted involving 90 children aged between 4 and 8 years attending a pediatric dental clinic. The participants were randomly divided into three groups ( Results: All three techniques led to a significant reduction in anxiety levels post-intervention. The mean FIS score decreased from 4.2 ± 0.6 to 2.1 ± 0.5 in Group A, 4.3 ± 0.5 to 1.9 ± 0.4 in Group B, and 4.1 ± 0.7 to 2.3 ± 0.6 in Group C ( Conclusion: All three behavioral management techniques were effective in reducing dental anxiety among children aged 4-8 years. However, audiovisual distraction proved to be the most effective, followed by Tell-Show-Do and modeling.

Indexed as

Audiovisual distractionbehavioral managementdental anxietymodelingpediatric dentistryrandomized clinical trialTell-Show-Do

Identifiers

PMID41522938
PMCPMC12788482

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.