Evidence map›Paper›PMID 41552034›Full record

ArticleInternational journal of clinical pediatric dentistry2025

Association between Maxillary and Mandibular Length and Crowding in Classes 1, 2, and 3 Skeletal Malocclusion: A Systematic Review and Meta-analysis.

Marshal Lucas, Annapurna Kannan, Vignesh Kailasam

Abstract read
In one paragraph

Article in International journal of clinical pediatric dentistry, 2025. 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

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2 · The registry

The trial behind it

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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

3 authors.

Marshal LucasDepartment of Orthodontics and Dentofacial Orthopedics, Sri Ramachandra Dental College and Hospital, Sri Ramachandra Institute of Higher Education and Research (Deemed to be University), Chennai, Tamil Nadu, India.ORCID https://orcid.org/0000-0001-9009-7544
Annapurna KannanDepartment of Orthodontics and Dentofacial Orthopedics, Sri Ramachandra Dental College and Hospital, Sri Ramachandra Institute of Higher Education and Research (Deemed to be University), Chennai, Tamil Nadu, India.ORCID https://orcid.org/0000-0002-2081-7160
Vignesh KailasamDepartment of Orthodontics and Dentofacial Orthopedics, Sri Ramachandra Dental College and Hospital, Sri Ramachandra Institute of Higher Education and Research (Deemed to be University), Chennai, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The relationship between dental crowding and skeletal base length is essential to recognize and consider during the stage of treatment planning. Aim: To determine the correlation between maxillary and mandibular length and the quantum of crowding in various malocclusions. Methods: Seven electronic databases-PubMed, OVID, LILACS, Web of Science, Scopus, Cochrane Library, and SciELO-were searched until April 2024 with no restriction on the year of publication. The risk of bias (RoB) assessment was performed using Downs and Black's quality assessment tool. Results: A total of five articles that fulfilled the eligibility criteria were included, and two articles were used for meta-analysis. Four studies showed a low RoB, and one showed a moderate RoB. Meta-analysis revealed that in class 2 skeletal malocclusion, there was a 4 mm reduction in mandibular length in patients with mandibular crowding >3 mm (95% CI: -5.69 to -2.32; Conclusion: According to the existing evidence, the quantum of crowding was moderate to severe in class 2 skeletal malocclusion with reduced mandibular base length and minimal in class 3 skeletal malocclusion with greater mandibular base length. Clinical significance: The study highlights a significant correlation between maxillary and mandibular lengths and dental crowding across classes 1, 2, and 3 skeletal malocclusions. Understanding these associations can improve diagnostic accuracy and treatment planning in orthodontics. The findings emphasize the need for tailored approaches based on skeletal discrepancies to effectively manage dental crowding. How to cite this article: Lucas M, Kannan A, Kailasam V. Association between Maxillary and Mandibular Length and Crowding in Classes 1, 2, and 3 Skeletal Malocclusion: A Systematic Review and Meta-analysis. Int J Clin Pediatr Dent 2025;18(12):1517-1525.

Indexed as

CrowdingMandibular lengthMaxillary lengthSkeletal class 1 malocclusionSkeletal class 2 malocclusionSkeletal class 3 malocclusion

Identifiers

PMID41552034
PMCPMC12810176

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.