Evidence map›Paper›PMID 40224125›Full record

ArticleJournal of dental sciences2025

The study of three-dimensional smile changes on orofacial morphology.

Johnson Hsin-Chung Cheng, Yu-Chien Hsu, Od Bayarsaikhan

Abstract read
In one paragraph

Article in Journal of dental sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Johnson Hsin-Chung ChengSchool of Dentistry, College of Oral Medicine, Taipei Medical University, Taipei City, Taiwan.
Yu-Chien HsuSchool of Dentistry, College of Oral Medicine, Taipei Medical University, Taipei City, Taiwan.
Od BayarsaikhanDepartment of Orthodontics, School of Dentistry, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/purpose: Traditionally, two-dimensional (2D) frontal and lateral facial views have provided an incomplete understand true three-dimensional (3D) relationships. This study aimed to investigate the 3D changes in orofacial soft tissues during smiling and to examine the influence of craniofacial and dental morphology on these changes. Materials and methods: 131 individuals aged 18-30 with attractive facial features were recruited. Rest and posed smile 3D facial photos captured by 3D camera and cone-beam computed tomography (CBCT) scans were taken. Data were recorded and analyzed in rest, smile images, and smiling change measurements, including 23 landmarks, 11 linear, and 6 angular measurements. Statistical methods were used to analyze the frequency distribution, the significant difference between rest and smile variables, and the relationship between craniofaciodental tissue and 3D smile changes. Results: The study involved 65 males (mean age 23.5 ± 3.2 years) and 66 females (mean age 22.5 ± 1.5 years). The soft tissue landmarks changed during smiling reveals that 21 landmarks in z-plane, 22 landmarks in y-plane, and 15 landmarks in x-plane landmarks showed significant differences. In addition, a significant correlation was noted between upper lip length (sn-uli) (r = 0.46, Conclusion: The significant 3D change of soft tissue landmarks during smiling occurs mostly in z and y-plane, rather than x-plane. Clinically, all dimensions should be considered in orthodontic diagnosis and treatment planning, especially in the z plane the change cannot be seen in the traditional 2D analysis.

Indexed as

3D scanner3D stereophotogrammetryFaceSmile analysisSoft-tissue analysis

Identifiers

PMID40224125
PMCPMC11993074

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.