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Statistical testing against baseline in orthodontic research: a meta-epidemiologic study.
Sophia Gratsia1, Despina Koletsi2,3, Padhraig S Fleming4
1School of Dentistry, National and Kapodistrian University of Athens, Greece.
Statistical testing within orthodontic research groups is common, often leading to flawed interpretations. Ensuring accurate statistical analysis is crucial for reliable clinical decision-making in orthodontics.
Area of Science:
- Orthodontics
- Biostatistics
- Scientific Publishing
Background:
- Within-group comparisons from baseline to follow-up are frequently used in orthodontic research.
- This practice can lead to flawed interpretations of study findings.
- The prevalence and predictors of this statistical issue require investigation.
Purpose of the Study:
- To assess the prevalence of within-group comparisons in published orthodontic articles.
- To identify associations between this statistical problem and study characteristics.
- To promote accurate statistical reporting for improved clinical decision-making.
Main Methods:
- A systematic search of four leading orthodontic journals (AJODO, EJO, ANGLE, OCR) was conducted up to December 2017.
- 339 articles were analyzed for the use and interpretation of within-group comparisons.
- Univariable and multivariable modified Poisson regression were used to identify predictors.
Main Results:
- 18% of included studies (60 out of 339) presented findings based solely on within-group comparisons.
- Statistical significance of the primary outcome was a strong predictor (RR: 2.33) of this flawed approach.
- The majority of articles were published in ANGLE (46%).
Conclusions:
- The use of within-group statistical testing and interpretation is prevalent in orthodontic research.
- Accurate statistical conduct and reporting are essential for optimal clinical decision-making.
- Further research should address the effect of time on these statistical practices.
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