Evidence map›Paper›PMID 42351114›Full record

ArticleBMC oral health2026

A cephalometric analysis of underlying components of deep overbite malocclusion.

Avinash Chaudhary, Sushant Pandey, Samikshya Sangroula, Jamal Giri, Prabhat Ranjan Pokharel, Rajesh Gyawali

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Article in BMC oral health, 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Avinash ChaudharyDepartment of Orthodontics & Dentofacial Orthopaedics, B.P. Koirala Institute of Health Sciences, Dharan, Nepal. dravinashchy@gmail.com.
Sushant PandeyDepartment of Orthodontics & Dentofacial Orthopaedics, B.P. Koirala Institute of Health Sciences, Dharan, Nepal.
Samikshya SangroulaDepartment of Orthodontics & Dentofacial Orthopaedics, B.P. Koirala Institute of Health Sciences, Dharan, Nepal.
Jamal GiriDepartment of Orthodontics & Dentofacial Orthopaedics, B.P. Koirala Institute of Health Sciences, Dharan, Nepal.
Prabhat Ranjan PokharelDepartment of Orthodontics & Dentofacial Orthopaedics, B.P. Koirala Institute of Health Sciences, Dharan, Nepal.
Rajesh GyawaliDepartment of Orthodontics & Dentofacial Orthopaedics, B.P. Koirala Institute of Health Sciences, Dharan, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeep overbite is a critical parameter in orthodontic diagnosis and treatment planning, reflecting the excessive vertical overlap of anterior teeth. It not only affects facial esthetics but may also contribute to functional disturbances. It is influenced by a complex interplay of skeletal, dental, and angular factors. Understanding the relative association of these components is critical for accurate diagnosis and effective treatment planning. So, this study aims to determine which skeletal and dental components most significantly affect deep overbite. MATERIALS AND

methodsThe study was carried out on 252 pre-treatment lateral cephalograms of Nepalese patients of mixed ethnic backgrounds (Indo-Nepali, Tibeto-Nepali, and Indigenous Nepali) who presented with an overbite of greater than 4 mm measured on the lateral cephalogram, in the Department of Orthodontics, BPKIHS, Nepal. Among them, 130 were males and 122 were females. The mean age of the subjects was 22.26 ± 3.85 years (range:16 to 41 years). Lateral cephalograms meeting the inclusion/exclusion criteria were digitally traced using Onyxceph3TM Pro (version 3.2.67) software. Twelve vertical and angular, skeletal and dental parameters from Burstone's Cephalometrics for Orthognathic Surgery (COGS) analysis were measured. Descriptive analysis was performed for each variable. Multiple linear regression analyses were performed performed to evaluate the association between skeletal and dentoalveolar variables and deep overbite. Iterative backward elimination regression approach was used to assess the association between the variables and deep over bite after considering multicollinearity.

resultsThe final model explained 71.4% of the variance in deep overbite (R²=0.714, p < 0.001). Lower anterior dental height (L1-MP) had the strongest effect on deep overbite. Other significant predictors included lower anterior facial height (ANSGn), mandibular plane angle (MP-HP), upper anterior dental height (U1-NF), upper anterior inclination (U1NFang), Lower anterior inclination (L1MPang) and lower posterior dental height (LM-MP).

conclusionOverbite is predominantly influenced by dentoalveolar factors, particularly incisor position and inclination, while skeletal variables play a secondary role.

Indexed as

CephalometryOverbiteAdolescentAdultFacial BonesFemaleHumansIncisorMaleMandibleMaxillaNasal BoneNepalVertical DimensionYoung AdultDeep overbiteLower anterior dental heightLower anterior facial height

Identifiers

PMID42351114
PMCPMC13560299

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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.