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August 10, 2020Open Access

Applying diagnostic reliability study methods (e.g., kappa statistics) to patient management decisions can quantitatively measure clinical uncertainty and equipoise to inform clinical trial design.

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Why the study?

Clinical uncertainty and equipoise are vague notions that play important roles in medical care and research, but methods are needed to measure them regarding rival management options.

Design

Methodological study with an illustrative example

Authors

RFRobert FahedTDTim E. DarsautBFBehzad Farzin

Discussion

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Overview

May quantify equipoise to guide stroke trial design; leaves open validation across other decisions.

Key Points

Key points are not available for this paper at this time.

Cite This Study

Fahed et al. (2020) studied this question.

synapsesocial.com/papers/6a1b92578df86b99f942e15ehttps://doi.org/10.21203/rs.2.22528/v4
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Measuring Clinical Uncertainty and Equipoise by Applying the Agreement Study Methodology to Patient Management Decisions2020
  2. 2Science in Medical Practice: Probability and Clinical Judgment Instead of Surrogate Certainty2026
  3. 3Uncertainty and novel clinical trial designs in oncology – when should equipoise matter?2026
  4. 4Equipoise in Neurosurgical Trials: Ethical Considerations and Challenges for Trial Conduct2026
  5. 5Assessing method agreement for paired repeated binary measurements administered by multiple raters2018 · 1 citations