Evidence map›Paper›PMID 41068846›Full record

ArticleBMC oral health2025

A novel method to define personalized post-orthodontic treatment dental arch form.

Yingying Su, Jiachao Zhang, Hanyan Ma, Xu Zheng

Abstract read
In one paragraph

Article in BMC oral health, 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
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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

4 authors.

Yingying SuDepartment of Stomatology, Beijing Tiantan Hospital, Capital Medical University, Beijing , 100070, China.
Jiachao ZhangLM Technology (Beijing) Co., Limited, Beijing, 101318, China.
Hanyan MaInternational Curriculum Centre, Beijing Foreign Studies University, Beijing , 100089, China.
Xu ZhengDepartment of Stomatology, Peking University 3rd Hospital, Beijing, 100191, China. zhengxu_allen@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe dental arch is a fundamental aspect of orthodontic treatment and has considerable implications in planning and therapy. Since arch forms differ (e.g. tapered, ovoid, square), determination of posttreatment arch form should take each patient's dental arch features into account. This study aims to develop a method to predict optimal post-orthodontic treatment dental arch form.

methodsMandibular dental casts of 55 patients who underwent non-extraction treatment and presented with functional occlusion according to functional occlusion criteria were selected. The casts were scanned and digitalized, 18 landmarks were collected and the spatial coordinates were utilized to compute tooth size and intermolar width. Several mathematical functions were then used to ensure a best-fitting mandibular arch form, including beta function, polynomial equations and polynomial combined with circle equations.

resultsAfter applying several mathematical functions, we developed a mixed model made of two simple geometrical curves. The anterior segment of the dental arch was fitted with a circle and the posterior segment with a quartic curve; both could be calculated simply using tooth size.

conclusionsThe present study presents a new approach to determine an individualized post-orthodontic treatment dental arch form, using the combined width of the lower teeth. The proposed method offers a simple and practical solution that can be easily implemented in clinical practice. These findings hold great promise for digital personalized treatment and the development of customized orthodontic appliances.

Indexed as

Dental ArchOrthodontics, CorrectiveAdolescentAdultFemaleHumansMaleMalocclusionMandibleModels, DentalYoung AdultDental arch formFunctional occlusionMathematical formulaOrthodontics

Identifiers

PMID41068846
PMCPMC12512877

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LicenceCC BY-NC-ND
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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.