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Increased risks for random errors are common in outcomes graded as high certainty of evidence
Gerald Gartlehner1, Barbara Nussbaumer-Streit2, Gernot Wagner2
1RTI International, Research Triangle Park, NC, USA; Cochrane Austria, Danube University Krems, Krems, Austria.
High certainty of evidence (CoE) outcomes frequently carry risks for random errors, potentially leading to false conclusions. Decision-makers should consider these risks when interpreting research findings.
Area of Science:
- Evidence-based medicine
- Systematic reviews
- Meta-analysis
Background:
- The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system is widely used to assess the certainty of evidence (CoE).
- High CoE ratings indicate substantial confidence in the estimate of effect.
- However, random errors can still affect the reliability of outcomes, even with high CoE.
Purpose of the Study:
- To evaluate the prevalence of random errors in outcomes classified as high certainty of evidence (CoE).
- To identify factors associated with an increased risk of random errors in high CoE outcomes.
Main Methods:
- A random sample of 100 Cochrane reviews with dichotomous outcomes rated as high CoE was selected.
- Trial sequential analysis was performed to detect increased risks for random errors using standard thresholds for type I and type II errors.
- Multivariate logistic regression analyses identified predictors of increased risks for random errors.
Main Results:
- 38% of high CoE outcomes demonstrated an increased risk of random errors.
- Outcomes related to harms were more frequently affected (47%) than those assessing benefits (12%).
- Small absolute risk differences and a low number of events were significant predictors of increased random error risk.
Conclusions:
- A substantial proportion of high CoE outcomes are susceptible to random errors, potentially leading to false-positive or false-negative findings.
- Decision-makers must be aware of these risks when interpreting evidence rated as high CoE.
- Further methodological considerations are needed to mitigate random errors in evidence synthesis.
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