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Are treatment effect assumptions in orthodontic studies overoptimistic?
Jadbinder Seehra1, Daniel Stonehouse-Smith1, Martyn T Cobourne1
1Department of Orthodontics, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, Floor 25, Guy's Hospital, Guy's and St Thomas NHS Foundation Trust, London, UK.
Clinical trial sample size assumptions are often overoptimistic. This study found assumed treatment effects were significantly larger than observed effects, highlighting a need for careful design considerations in orthodontic research to reduce waste.
Area of Science:
- Clinical research methodology
- Biostatistics
- Orthodontic study design
Background:
- Clinical trial design requires appropriate assumptions for accurate sample size calculation.
- Evidence suggests sample size assumptions in medical literature may be overly optimistic.
- Overly optimistic assumptions can lead to unreliable study results and research waste.
Purpose of the Study:
- To compare assumed treatment effects with observed effects in orthodontic studies.
- To identify and quantify overoptimistic treatment effect assumptions at the study design stage.
- To provide recommendations for improving the reliability of clinical study designs.
Main Methods:
- Systematic reviews (SRs) with meta-analyses on continuous outcomes published between 2010-2019 were identified.
- Data on sample size calculation, assumed treatment effects, and observed effects were extracted from SRs and primary trials.
- Assumed treatment effects were compared to observed effects using statistical tests.
Main Results:
- Eighty-five SRs comprising 347 primary trials were analyzed.
- Sample size details were reported in only 31.7% of studies, with assumed treatment effects reported in just 37 of those.
- A significant difference was found between assumed and observed treatment effects (P < 0.001), with assumed effects being larger.
Conclusions:
- Overoptimistic treatment effect assumptions are prevalent in orthodontic study designs.
- Careful consideration of assumptions during the design phase is crucial.
- Improving design assumptions can enhance the reliability of orthodontic research and minimize wasted resources.
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