Evidence map›Paper›PMID 42690394›Full record

ArticleDental press journal of orthodontics2026

Validation of a digital tool for Moyers mixed dentition analysis: agreement and efficiency compared with the manual method.

Mariana Vasconcellos Bazoli Rodrigues, Luciana Rougemont Squeff, Amanda Cunha Regal de Castro, Antônio Carlos de Oliveira Ruellas, Sergio Luiz Mota-Júnior

Abstract readValidation StudyComparative Study
In one paragraph

Article in Dental press journal of orthodontics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

5 authors.

Mariana Vasconcellos Bazoli RodriguesUniversidade Federal do Rio de Janeiro, Dental School, Department of Pediatric Dentistry and Orthodontics (Rio de Janeiro/RJ, Brazil).ORCID http://orcid.org/0009-0002-9070-9584
Luciana Rougemont SqueffUniversidade Federal do Rio de Janeiro, Dental School, Department of Pediatric Dentistry and Orthodontics (Rio de Janeiro/RJ, Brazil).ORCID http://orcid.org/0000-0002-5835-3875
Amanda Cunha Regal de CastroUniversidade Federal do Rio de Janeiro, Dental School, Department of Pediatric Dentistry and Orthodontics (Rio de Janeiro/RJ, Brazil).ORCID http://orcid.org/0000-0001-7174-3846
Antônio Carlos de Oliveira RuellasUniversidade Federal do Rio de Janeiro, Dental School, Department of Pediatric Dentistry and Orthodontics (Rio de Janeiro/RJ, Brazil).ORCID http://orcid.org/0000-0001-7973-9286
Sergio Luiz Mota-JúniorUniversidade Federal do Rio de Janeiro, Dental School, Department of Pediatric Dentistry and Orthodontics (Rio de Janeiro/RJ, Brazil).ORCID http://orcid.org/0000-0003-3601-8264

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMixed dentition analysis is essential for predicting space requirements and guiding early orthodontic decision-making. Moyers analysis is widely used due to its simplicity and clinical applicability, however, manual execution may increase execution time and introduce operator-dependent errors.

objectiveThis study aimed to develop and validate an automated digital tool based on Moyers analysis, to improve efficiency and support orthodontic education. MATERIAL AND

methodsThis cross-sectional study included 20 participants (10 undergraduate and 10 graduate dental students) who performed mixed dentition analysis on a standardized plaster model using the manual method and a software-based method at separate time points. Agreement between methods was evaluated using intraclass correlation coefficients (ICC), Bland-Altman analysis, and linear regression to assess proportional bias. Execution time was recorded and compared using paired t tests. Participant preference was also assessed.

resultsExcellent reliability was observed (ICC > 0.95). No statistically significant differences were found between the manual and software-based methods (p > 0.05), and Bland-Altman analysis demonstrated substantial agreement without proportional bias. The software-based method reduced execution time by 38.2% (p < 0.001). All participants preferred the software-based method.

conclusionThe software-based method demonstrated agreement comparable to the manual Moyers analysis, while significantly reducing execution time. Its usability and efficiency support its application in orthodontic education and clinical workflow optimization.

Indexed as

Dentition, MixedOrthodonticsCross-Sectional StudiesHumansModels, DentalReproducibility of ResultsSoftware

Identifiers

PMID42690394
PMCPMC13523717

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.