Evidence map›Paper›PMID 42760089›Full record

ArticleBMJ open2026

AI-based applications supporting informal caregivers in childhood caries prevention and management: protocol for a scoping review.

Pani Matin Anugrah, Elham Emami, Melissa Adiatman, Risqa Rina Rina Darwita

Abstract read
In one paragraph

Article in BMJ open, 2026. 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

4 authors.

Pani Matin AnugrahDoctoral Program in Dental Science, Universitas Indonesia, Depok, Jawa Barat, Indonesia panimatinanugrahh@gmail.com.ORCID http://orcid.org/0009-0000-7924-3811
Elham EmamiFaculty of Dentistry, McGill University, Montreal, Canada.ORCID http://orcid.org/0000-0002-7730-4139
Melissa AdiatmanDepartment of Dental Public Health and Preventive Dentistry, Universitas Indonesia, Depok, West Java, Indonesia.ORCID http://orcid.org/0000-0002-9399-9305
Risqa Rina Rina DarwitaDepartment of Dental Public Health and Preventive Dentistry, Faculty of Dentistry, Universitas Indonesia, Depok, West Java, Indonesia.ORCID http://orcid.org/0000-0001-7480-7876

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDental caries remains highly prevalent among children despite being preventable. Limited access to dental services, workforce shortages and low oral health literacy among informal caregivers contribute to its delayed detection and poor oral health outcomes for children. As informal caregivers play a vital role in children's daily oral health practices, innovative and scalable approaches are needed to support them. Artificial intelligence (AI)-based mobile health applications could potentially help engage these caregivers in education, early detection, and other preventive activities. However, the evidence is still limited. The objective of this review is to map and characterise the existing evidence on caregiver-centred AI-based applications supporting the management and prevention of childhood dental caries. METHODS AND ANALYSIS: The scoping review will adhere to the Joanna Briggs Institute (JBI) methodology guideline, using Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews (PRISMA-ScR) for reporting structure and PRISMA-S (PRISMA Search Reporting Extension) for a comprehensive search strategy. The search strategy will be developed in collaboration with an expert librarian. An initial search will be conducted in Embase (Ovid) and adapted for other databases (MEDLINE (Ovid), PubMed and Scopus). Two reviewers will independently screen the titles, abstracts and full-text articles, with a third resolving any conflicts. The included studies will be selected according to the participants, concept and context (PCC) framework, in any setting and any country, that addresses AI-based applications facilitated by informal caregivers for caries prevention and management in children. Articles published in English and primary studies will be included, with no restrictions on publication date. Data will be charted and synthesised using descriptive statistics and qualitative thematic mapping. ETHICS AND DISSEMINATION: Ethics approval is not required for this review. These findings will be disseminated in a peer-reviewed publication and at academic conferences. TRIAL REGISTRATION DETAILS: (https://osf.io/7akw5).

Indexed as

Artificial IntelligenceCaregiversDental CariesMobile ApplicationsChildHumansOral HealthResearch DesignScoping Reviews as TopicArtificial IntelligenceCaregiversChildDentistryMobile Applications

Identifiers

PMID42760089
PMCPMC13599872

What Socratic 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 Socratic graph.