ArticleBMC oral health2024
Study on decision-making for orthodontic treatment plans based on analytic hierarchy process.
Article in BMC oral health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- AI in orthodontic treatment planning: a systematic review comparing learning approaches.BMC oral health · 2026Pooled it
- Sustainable clear aligner practice in esthetic and prosthetic dentistry: a scoping review for practical implementation.Frontiers in oral health · 2026Pooled it
- Letter to editor regarding "Influence of general orthodontic treatment need and of specific anterior malocclusions on oral health-related quality of life in children and adolescents with class II malocclusion".Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie · 2026Article
- Cephalometric factors associated with orthodontic treatment initiation: a retrospective analysis.BMC oral health · 2026Observational
- Development and External Validation of an Explainable AHP-ML Model for Orthodontic Tooth Extraction and Anchorage Decision Support.Bioengineering (Basel, Switzerland) · 2026Article
- Clinical integration and utilization patterns of computer-aided design/computer-aided manufacturing (CAD/CAM) fixed lingual retainers: A national survey of orthodontists.Journal of orthodontic science · 2026Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOrthodontics is a common treatment for malocclusion and is essential for improving the oral health and aesthetics of patients. Currently, patients often rely on the clinical expertise and professional knowledge of doctors to select orthodontic programs. However, they lack their own objective and systematic evaluation methods to quantitatively compare different programs. Therefore, there is a need for a more comprehensive and quantitative approach to selecting orthodontic treatment plans, aiming to enhance their scientific validity and effectiveness.
methodsIn this study, a combination of the analytic hierarchy process (AHP) and semantic analysis was used to evaluate and compare different orthodontic treatment options. An AHP model and evaluation matrix were established through thorough research and semantic analysis of patient requirements. This model considered various treatment factors. Expert panels were invited to rate these factors using a 1-9 scale. The optimal solution was determined by ranking and comparing different orthodontic treatment plans using the geometric mean method to calculate the weights of each criterion.
resultsThe research indicates a higher preference for invisible correction compared to other orthodontic solutions, with a weight score that is 0.3923 higher. Factors such as comfort and difficulty of cleaning have been given significant attention.
conclusionThe Analytic Hierarchy Process (AHP) method can be utilized to effectively develop orthodontic treatment plans, making the treatment process more objective, scientific, and personalized. The design of this study offers strong decision support for orthodontic treatment, potentially improving orthodontic treatment outcomes in clinical practice and ultimately enhancing oral health and patients' quality of life.
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