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Published on: September 16, 2022
Rating certainty when the target threshold is the null and the point estimate is close to the null
Linan Zeng1,2,3,4, Monica Hultcrantz5,6, David Tovey7
1Pharmacy Department/Evidence-based Pharmacy Centre/Children's Medicine Key Laboratory of Sichuan Province, West China Second University Hospital, Sichuan University; Sichuan University and Key Laboratory of Birth Defects and Related Disease of Women and Children, Ministry of Education, West China Second University Hospital, Chengdu, People's Republic of China.
This study revises how certainty of evidence is rated when results are near zero. It proposes focusing on a range of minimal important difference to avoid misleading precision assessments.
Area of Science:
- Medical research methodology
- Evidence-based medicine
Background:
- Current methods for rating evidence certainty face challenges when point estimates are near the null effect.
- Narrow confidence intervals (CIs) near the null can lead to inappropriate downrating for imprecision.
Purpose of the Study:
- To address challenges in rating evidence certainty when point estimates are close to the null effect.
- To propose a revised approach for rating certainty of evidence.
Main Methods:
- Revising the target of certainty rating from a non-zero effect to a 'little or no effect' range.
- Estimating ranges for minimal important difference (MID) for benefit and harm.
- Adjusting certainty ratings based on whether the point estimate and CI fall within the 'little or no effect' range.
Main Results:
- The proposed method allows for appropriate rating down for imprecision only when the CI includes an important effect.
- Confidence in evidence certainty can be revised when the point estimate suggests an effect below the smallest plausible MID.
- The approach prevents downrating for imprecision when a narrow CI crosses the null.
Conclusions:
- The revised method provides a more accurate assessment of evidence certainty, especially when effects are small.
- This approach enhances the utility of the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) system.
- Optimal target selection for certainty rating is facilitated by considering the minimal important difference.
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