Evidence map›Paper›PMID 40003267›Full record

ReviewChildren (Basel, Switzerland)2025

Effectiveness of Non-Pharmacological Interventions in Reducing Dental Anxiety Among Children with Special Needs: A Scoping Review with Conceptual Map.

Zuhair Motlak Alkahtani

Abstract readReview
In one paragraph

Review in Children (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Zuhair Motlak AlkahtaniDepartment of Pediatric Dentistry and Orthodontic Sciences, College of Dentistry, King Khalid University, Abha 62529, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChildren with special needs often need tailored approaches to oral healthcare to address their unique needs effectively. It is essential to analyze the effectiveness of non-pharmacological management in reducing dental anxiety among special needs children during dental treatment.

methodsFive electronic databases, PubMed, Scopus, Web of Science, Embase, and Google Scholar, were searched from 2007 to August 2024 for randomized control trials and observational studies comparing the effectiveness of non-pharmacological techniques in reducing dental anxiety during invasive and noninvasive dental treatment. The primary outcomes of the studied intervention were reduced dental anxiety and improved behavior during dental treatment. The conceptual map was created to understand the need for assessment and behavior management for special needs children (SN).

resultsNineteen articles qualified for the final analysis from 250 screened articles. Included studies evaluated the effect of strategies applied clinically, such as audio-visual distraction, sensory-adapted environment, and virtual reality. The included studies measured the trivial to large effect of measured interventions and supported non-pharmacological interventions in clinical settings.

conclusionsMost basic non-pharmacological interventions showed a trivial to large reduction in dental anxiety among SN patients. The conceptual map developed in this study supports the need for non-pharmacological interventions as they are cost-effective and create a positive environment in dental clinics. However, more studies need to focus on non-pharmacological behavior interventions in SN children to support the findings of this scoping review.

Indexed as

behavior modificationdental anxietynon-pharmacological interventionsspecial needs children

Identifiers

PMID40003267
PMCPMC11854481

What OpenQuestion holds

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Registered trials

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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.