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The Reproducibility of Cerebrovascular Randomized Controlled Trials.
Nimer Adeeb1, Danielle L Terrell1, Stephen Garrett Whipple1
1Department of Neurosurgery, Ochsner LSU Medical Center, Louisiana State University, Shreveport, Louisiana, USA.
The fragility index helps assess the reliability of cerebrovascular randomized controlled trials (RCTs). A new classification system based on this index aids in interpreting study robustness, especially with small sample sizes and high patient dropout rates.
Area of Science:
- Neurosurgery
- Endovascular Surgery
- Clinical Trials
Background:
- Randomized controlled trials (RCTs) are crucial in cerebrovascular research.
- The fragility index is a novel metric to assess the robustness and reproducibility of RCT findings.
- Evaluating the fragility index in cerebrovascular RCTs is essential for reliable clinical decision-making.
Purpose of the Study:
- To evaluate the fragility index in key surgical and endovascular cerebrovascular RCTs.
- To propose a novel RCT classification system based on the fragility index.
- To enhance the interpretation of cerebrovascular trial results.
Main Methods:
- Review of cerebrovascular RCTs published between 2000 and 2018, focusing on stroke, carotid stenosis, cerebral aneurysms, and subarachnoid hemorrhage.
- Calculation and evaluation of the fragility index, number of patients lost to follow-up, and fragility quotient.
- Development of a 3-class RCT robustness classification system based on fragility index and patient follow-up data.
Main Results:
- Twenty RCTs with significant primary outcome differences were analyzed, showing a median fragility index of 5.5.
- A fragility quotient was derived from the fragility index and patient loss to follow-up.
- The proposed classification system effectively categorized RCT robustness based on reproducibility.
Conclusions:
- Neurosurgeons and neurointerventionalists must critically interpret cerebrovascular RCT results.
- Caution is advised for trials with small sample sizes, few events, and high patient attrition.
- The proposed fragility index-based classification system provides a quantitative tool for assessing study reliability.
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