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Adult orthodontic therapy: extraction versus non-extraction
1Department of Orthodontics, University of the Pacific, San Francisco, CA, USA.
Clinical Orthodontics and Research
|May 13, 1999
Summary
This study examined clinician decisions on tooth extraction for orthodontic treatment. While consensus was high on extraction need and pattern, disagreements arose regarding orthognathic surgery and Angle classification.
Area of Science:
- Dentistry
- Orthodontics
- Clinical Decision-Making
Background:
- Randomization in treatment planning, particularly for irreversible procedures like tooth extraction, presents challenges.
- Clinician decision-making in orthodontics involves complex factors influencing treatment strategy.
Purpose of the Study:
- To analyze clinician agreement and disagreement on tooth extraction decisions and related treatment aspects.
- To investigate patterns of consensus and variability in orthodontic treatment planning.
Main Methods:
- A retrospective and prospective study involving 148 subjects with complete orthodontic records.
- Analysis of treatment decisions made by five independent clinicians regarding extraction, extraction patterns, orthognathic surgery, and Angle classification.
- Evaluation of inter-clinician agreement and disagreement rates.
Main Results:
- Strong consensus was observed among clinicians regarding the primary decision to extract teeth and the extraction pattern when indicated.
- Clinician agreement on the need for adjunctive orthognathic surgery was less pronounced, especially between adult and adolescent cohorts.
- Disagreements were more frequent concerning Angle classification than anticipated.
- Clinicians extracted teeth less frequently in adolescent cohorts compared to adult cohorts.
Conclusions:
- While clinicians generally agree on extraction necessity and patterns, variability exists in complex decisions like orthognathic surgery and classification.
- The findings highlight the influence of patient cohort (adult vs. adolescent) on treatment decisions.
- Generalizability of conclusions requires consideration of the assumptions inherent in clinical data analysis.