Evidence map›Paper›PMID 42688708›Full record

ArticleJournal of dental sciences2026

Craniofacial and airway changes after skeletal Class III orthognathic surgery: A machine learning study.

Zay Yar Linn, Johnson Hsin-Chung Cheng, Sam Li-Sheng Chen, Daniel De-Shing Chen, Muhammad Izzah Abdillah

Abstract read
In one paragraph

Article in Journal of dental sciences, 2026. 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
–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

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.

Zay Yar LinnSchool of Dentistry, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan.
Johnson Hsin-Chung ChengSchool of Dentistry, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan.
Sam Li-Sheng ChenSchool of Oral Hygiene, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan.
Daniel De-Shing ChenSchool of Dentistry, College of Oral Medicine, Taipei Medical University, Taipei, Taiwan.
Muhammad Izzah AbdillahDepartment of Orthodontic, Faculty of Dentistry, Hasanuddin University, Makassar, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/purpose: Mandibular setback surgery is a common orthognathic procedure for correcting Class III malocclusion. This study aimed to evaluate posterior airway space (PAS) changes in Class III patients following mandibular setback surgery, focusing on skeletal, dental, and soft tissue alterations and their association with airway changes using conventional statistics and machine learning. Materials and methods: Fifty patients who underwent mandibular setback surgery were assessed using cephalometric radiographs taken preoperatively (T1) and postoperatively (T2). Measurements included PAS area and anteroposterior width, alongside angular and linear cephalometric parameters. Paired Results: Significant postoperative changes were observed in most craniofacial and airway variables, except for SNA, overbite, lower lip to E-plane, and hypopharynx area. Multivariate regression showed that age, sex and several other variables influenced PAS measurements, but their effects were not uniform across all airway levels. Pearson correlation showed the strongest associations between PAS changes and SNB, ANB, mandibular body length, overjet, SN-GoGn, and Z-angle. Random forest regression demonstrated low overall predictive performance; however, the model identified SNB, nasolabial angle, overjet as the most influential predictors of airway changes. Conclusion: Mandibular setback surgery significantly reduces PAS. Skeletal changes exert the greatest influence on airway, followed by soft tissue and dental variables. Horizontal craniofacial landmarks movements are more predictive of airway changes than vertical shifts. SNB emerged as the most influential variable in both correlation and machine learning analyses.

Indexed as

Class III malocclusionLateral cephalometricMachine learningOrthognathic surgeryPosterior airway space

Identifiers

PMID42688708
PMCPMC13536415

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.