Evidence map›Paper›PMID 41387833›Full record

ArticleBMC oral health2025

Long-term upper airway changes following mandibular advancement with or without maxillary setback in skeletal class II patients: a 2-year retrospective study.

Hong-Yi Tang, Zi-Rui Zhou, Jiang-Feng Fu, Qian-Wen Li, Li Gao, Jiu-Hui Jiang

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

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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

6 authors.

Hong-Yi Tang *Department of Orthodontics, Peking University School and Hospital of Stomatology, National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials Beijing, 22 Zhongguancun Avenue South, Haidian District, Beijing, 100081, China.
Zi-Rui Zhou *Department of Orthodontics, Peking University School and Hospital of Stomatology, National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials Beijing, 22 Zhongguancun Avenue South, Haidian District, Beijing, 100081, China.
Jiang-Feng FuDepartment of Orthodontics, Peking University School and Hospital of Stomatology, National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials Beijing, 22 Zhongguancun Avenue South, Haidian District, Beijing, 100081, China.
Qian-Wen LiDepartment of Orthodontics, Peking University School and Hospital of Stomatology, National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials Beijing, 22 Zhongguancun Avenue South, Haidian District, Beijing, 100081, China.
Li GaoDepartment of Periodontology, National stomatological Center, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology, Beijing, 100081, China. gaolily1979@163.com.
Jiu-Hui JiangDepartment of Orthodontics, Peking University School and Hospital of Stomatology, National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials Beijing, 22 Zhongguancun Avenue South, Haidian District, Beijing, 100081, China. drjiangw@163.com.

Funding

the Beijing Natural Science Foundation No. 7232219the National Nature Science Fond U2330102
6 · The paper itself

Abstract

objectiveThis study assessed 2-year oropharyngeal airway changes in skeletal Class II patients following isolated mandibular advancement by bilateral sagittal split osteotomy (BSSO) with or without maxillary setback by Le Fort I osteotomy (Le fort I). MATERIALS AND

methodsCone-beam computed tomography (CBCT) data from 25 isolated BSSO and 57 BSSO + Le fort I patients were retrospectively analyzed at three stages: preoperatively (T0), 3 months (T1), and 2 years postoperatively (T2). The total upper airway volume (V), minimum cross-sectional area (CSA

resultsIsolated BSSO significantly increased V, CSA

conclusionIsolated BSSO induces sustained upper airway expansion for 2 years, which is driven primarily by hard tissue advancements. Compared with BSSO + Le fort I, this technique has superior short- and long-term efficacy, providing guidance for the optimized management of skeletal Class II patients. ETHICS APPROVAL: This study was approved by the Ethics Committee of Peking University Stomatological Hospital (Approval No. PKUSSIRB-202167121).

Indexed as

Malocclusion, Angle Class IIMandibular AdvancementMaxillaOropharynxAdolescentAdultCone-Beam Computed TomographyFemaleHumansMaleNasopharynxOsteotomy, Le FortOsteotomy, Sagittal Split RamusRetrospective StudiesYoung AdultBilateral sagittal split osteotomyIsolated mandibular advancementLe fort i osteotomyMaxillary setbackOropharyngeal airwaySkeletal class II

Identifiers

PMID41387833
PMCPMC12765316

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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.