Evidence map›Paper›PMID 41904477›Full record

ArticleBMC oral health2026

Analysis of predictive factors for post-orthodontic stability: a retrospective cohort study.

Xiaochen Zhang, Axian Wang, Xu Zhang, Haolin Zhang, Zixuan Chen, Xulin Liu, Bin Yan, Xiaodong Zhang, Zexu Gu, Yanning Ma and 1 more

Abstract readMulticenter Study
In one paragraph

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.

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

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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

11 authors.

Xiaochen Zhang *State Key Laboratory of Military Stomatology, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, The Fourth Military Medical University, Xi'an, China.
Axian Wang *State Key Laboratory of Military Stomatology, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, The Fourth Military Medical University, Xi'an, China.
Xu Zhang *State Key Laboratory of Military Stomatology, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, The Fourth Military Medical University, Xi'an, China.
Haolin ZhangState Key Laboratory of Military Stomatology, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, The Fourth Military Medical University, Xi'an, China.
Zixuan ChenState Key Laboratory of Military Stomatology, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, The Fourth Military Medical University, Xi'an, China.
Xulin LiuState Key Laboratory of Military Stomatology, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, The Fourth Military Medical University, Xi'an, China.
Bin YanDepartment of Orthodontics, Affiliated Hospital of Stomatology, Nanjing Medical University, Nanjing, China.
Xiaodong ZhangDepartment of Stomatology, General Hospital of Northern Theater Command, Shenyang, China.
Zexu GuState Key Laboratory of Military Stomatology, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, The Fourth Military Medical University, Xi'an, China.
Yanning MaDepartment of Orthodontics, School and Hospital of Stomatology, Shanxi Medical University, Taiyuan, China. blueskyabc1007@163.com.
Zuolin JinState Key Laboratory of Military Stomatology, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Department of Orthodontics, School of Stomatology, The Fourth Military Medical University, Xi'an, China. zuolinj@163.com.

Funding

First Batch of Interdisciplinary Integration Projects of the Air Force Medical University 2023JC009Key Project of the Shaanxi Provincial Key Research and Development Program 2024SF-GJHX-37National Clinical Research Center for Oral Diseases LCA202202, LCB202202New Technologies and New Business Fund of the School of Stomatology, Air Force Medical University LX-2023-102
6 · The paper itself

Abstract

background​​ Orthodontic relapse remains a challenge in clinical practice. This study aimed to comprehensively evaluate the independent contributions and time-dependent patterns of multidimensional factors influencing the relapse risk, to provide insights for formulating personalized stability strategies.

methods​​ This multi-center retrospective cohort study included 474 participants with a median follow-up of 6 years. Variables included baseline, anatomical, treatment, and retention factors. Relapse was assessed by comparing intraoral photographs at post-treatment and follow-up (≥ 3 years post-debonding). Multivariate logistic and Cox regression analyses were performed to identify relapse predictors, with stratified analyses by molar relationship.

results​​ Relapse rate was 21.3%. Protective factors included female sex (odds ratio [OR] = 0.475, p = 0.013) and tooth extraction treatment (OR = 0.437, p = 0.006). Convex facial profile (OR = 2.057, p = 0.031), high-angle vertical pattern (OR = 2.086, p = 0.043) and longer follow-up duration (OR = 1.152, p = 0.010) were risk factors. Retainer adherence was strongly protective: full-time wear (OR = 0.070, p < 0.001) and nighttime wear (OR = 0.316, p = 0.004) during the first year, as well as longer total wear duration (1–2 years: OR = 0.408, p = 0.028; >2 years: OR = 0.352, p = 0.006) significantly reduced relapse risk. Cox regression confirmed that full-time wear (hazard ratio [HR] = 0.231, p < 0.001) and wear duration > 2 years (HR = 0.366, p < 0.001) significantly reduced the instantaneous hazard of relapse. Stratified analysis revealed convex profile (OR = 5.706, p = 0.006) and high-angle pattern (OR = 4.234, p = 0.015) specifically increased relapse risk in Class II patients, whereas female sex (OR = 0.101, p = 0.003) was most protective in Class III patients.

conclusions​​ Convex facial profile and high-angle pattern indicated increased relapse risk, particularly in Class II patients. Female sex (especially in Class III patients) and extraction treatment showed protective effects. ​​High retainer adherence (full-time wear and prolonged use) was the most critical stability factor.​​ Clinical practice calls for personalized retention strategies based on individual risk profiles.

Indexed as

Orthodontics, CorrectiveAdolescentFemaleHumansMaleOrthodontic RetainersRecurrenceRetrospective StudiesRisk FactorsSex FactorsRelapseRetainerRisk factorsStability

Identifiers

PMID41904477
PMCPMC13151285

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